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Chengqi Zhang
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- affiliation: University of Technology Sydney, Centre for Artificial Intelligence, FEIT, Ultimo, NSW, Australia
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2020 – today
- 2024
- [j149]Chuanhou Sun, Xiaoqiang Ren, Xiangjun Dong, Ping Qiu, Xiaoming Wu, Long Zhao
, Ying Guo, Yongshun Gong
Mining actionable repetitive positive and negative sequential patterns. Knowl. Based Syst. 302: 112398 (2024) - [j148]Yejiang Wang
Robust Multi-Graph Multi-Label Learning With Dual-Granularity Labeling. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6509-6524 (2024) - [j147]Bohao Qu
Transductive Reward Inference on Graph. IEEE Trans. Knowl. Data Eng. 36(11): 7217-7228 (2024) - [c242]Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang:
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning. IJCAI 2024: 3908-3916 - [c241]Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang:
Federated Prompt Learning for Weather Foundation Models on Devices. IJCAI 2024: 5772-5780 - [c240]Chengpei Xu
Seeing Text in the Dark: Algorithm and Benchmark. ACM Multimedia 2024: 2870-2878 - [c239]Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang:
Multivariate Traffic Demand Prediction via 2D Spectral Learning and Global Spatial Optimization. ECML/PKDD (2) 2024: 72-88 - [c238]Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang:
Test-Time Training for Spatial-Temporal Forecasting. SDM 2024: 463-471 - [i62]Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang:
On-Device Recommender Systems: A Comprehensive Survey. CoRR abs/2401.11441 (2024) - [i61]Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W. Tsang
Transductive Reward Inference on Graph. CoRR abs/2402.03661 (2024) - [i60]Chengpei Xu, Hao Fu, Long Ma, Wenjing Jia, Chengqi Zhang, Feng Xia, Xiaoyu Ai, Binghao Li, Wenjie Zhang:
Seeing Text in the Dark: Algorithm and Benchmark. CoRR abs/2404.08965 (2024) - [i59]Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang:
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning. CoRR abs/2404.10942 (2024) - [i58]Renqiang Luo, Tao Tang, Feng Xia, Jiaying Liu, Chengpei Xu, Leo Yu Zhang, Wei Xiang, Chengqi Zhang:
Algorithmic Fairness: A Tolerance Perspective. CoRR abs/2405.09543 (2024) - [i57]He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Chengqi Zhang, Shirui Pan:
Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks. CoRR abs/2405.14407 (2024) - [i56]Shutong Chen, Tianyi Zhou, Guodong Long, Jie Ma, Jing Jiang, Chengqi Zhang:
Multi-Level Additive Modeling for Structured Non-IID Federated Learning. CoRR abs/2405.16472 (2024) - [i55]Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan:
ARC: A Generalist Graph Anomaly Detector with In-Context Learning. CoRR abs/2405.16771 (2024) - [i54]Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang:
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models. CoRR abs/2405.20348 (2024) - [i53]Zicheng Zhao, Linhao Luo, Shirui Pan, Chengqi Zhang, Chen Gong:
Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion. CoRR abs/2408.01784 (2024) - [i52]Zhiwei Li, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang:
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach. CoRR abs/2408.08931 (2024) - [i51]Yue Tan, Guodong Long, Jing Jiang, Chengqi Zhang:
Influence-oriented Personalized Federated Learning. CoRR abs/2410.03315 (2024) - [i50]Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang:
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents. CoRR abs/2410.07484 (2024) - [i49]Zhiwei Li, Guodong Long, Jing Jiang, Chengqi Zhang:
Personalized Item Representations in Federated Multimodal Recommendation. CoRR abs/2410.08478 (2024) - [i48]Hongduan Tian, Feng Liu, Zhanke Zhou, Tongliang Liu, Chengqi Zhang, Bo Han:
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning. CoRR abs/2410.12474 (2024) - [i47]Qi Wang, Jindong Li, Shiqi Wang, Qianli Xing, Runliang Niu, He Kong, Rui Li, Guodong Long, Yi Chang, Chengqi Zhang:
Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond. CoRR abs/2410.19744 (2024) - 2023
- [j146]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Gangyan Xu
Shared dynamics learning for large-scale traveling salesman problem. Adv. Eng. Informatics 56: 102005 (2023) - [j145]Xu Zhang
Spatio-temporal fusion and contrastive learning for urban flow prediction. Knowl. Based Syst. 282: 111104 (2023) - [j144]Yingqing Su
Improved Understanding of Trade-Offs and Synergies in Ecosystem Services via Fine Land-Use Classification and Multi-Scale Analysis in the Arid Region of Northwest China. Remote. Sens. 15(20): 4976 (2023) - [j143]Zonghan Wu
Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering. IEEE Trans. Knowl. Data Eng. 35(7): 6687-6697 (2023) - [j142]Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang:
Causal Reinforcement Learning: A Survey. Trans. Mach. Learn. Res. 2023 (2023) - [j141]Ping Qiu
An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1864-1878 (2023) - [j140]Changlu Chen
Bidirectional Spatial-Temporal Adaptive Transformer for Urban Traffic Flow Forecasting. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6913-6925 (2023) - [c237]Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. AAAI 2023: 9953-9961 - [c236]Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang
Improving the Robustness of Summarization Systems with Dual Augmentation. ACL (1) 2023: 6846-6857 - [c235]Xu Zhang
Mask- and Contrast-Enhanced Spatio-Temporal Learning for Urban Flow Prediction. CIKM 2023: 3298-3307 - [c234]Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
A Review for Weighted MinHash Algorithms (Extended abstract). ICDE 2023: 3785-3786 - [c233]Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Does Continual Learning Equally Forget All Parameters? ICML 2023: 42280-42303 - [c232]Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan
Dual Personalization on Federated Recommendation. IJCAI 2023: 4558-4566 - [c231]Jie Ma, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Structured Federated Learning through Clustered Additive Modeling. NeurIPS 2023 - [c230]Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
RiskContra: A Contrastive Approach to Forecast Traffic Risks with Multi-Kernel Networks. PAKDD (4) 2023: 263-275 - [c229]Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. ECML/PKDD (2) 2023: 52-68 - [i46]Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang:
Dual Personalization on Federated Recommendation. CoRR abs/2301.08143 (2023) - [i45]Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. CoRR abs/2301.11560 (2023) - [i44]Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Does Continual Learning Equally Forget All Parameters? CoRR abs/2304.04158 (2023) - [i43]Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang:
Improving the Robustness of Summarization Systems with Dual Augmentation. CoRR abs/2306.01090 (2023) - [i42]Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang:
Causal Reinforcement Learning: A Survey. CoRR abs/2307.01452 (2023) - [i41]Shengchao Chen, Guodong Long, Jing Jiang, Dikai Liu, Chengqi Zhang:
Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey. CoRR abs/2312.03014 (2023) - 2022
- [j139]Chun Wang, Shirui Pan, Celina Ping Yu, Ruiqi Hu, Guodong Long, Chengqi Zhang
Deep neighbor-aware embedding for node clustering in attributed graphs. Pattern Recognit. 122: 108230 (2022) - [j138]Wenli Zhang, Wei Zhang, Yubing Liu, Jutao Zhang
The Role of Soil Salinization in Shaping the Spatio-Temporal Patterns of Soil Organic Carbon Stock. Remote. Sens. 14(13): 3204 (2022) - [j137]Yunqiu Xu
Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems. IEEE Trans. Cybern. 52(10): 11107-11120 (2022) - [j136]Lu Liu
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. IEEE Trans. Knowl. Data Eng. 34(5): 2293-2305 (2022) - [j135]Wei Wu
A Review for Weighted MinHash Algorithms. IEEE Trans. Knowl. Data Eng. 34(6): 2553-2573 (2022) - [j134]Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Extracting Local Reasoning Chains of Deep Neural Networks. Trans. Mach. Learn. Res. 2022 (2022) - [c228]Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang
FedProto: Federated Prototype Learning across Heterogeneous Clients. AAAI 2022: 8432-8440 - [c227]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. ACL (1) 2022: 538-560 - [c226]Ming Xie, Jie Ma, Guodong Long, Chengqi Zhang
Robust Clustered Federated Learning with Bootstrap Median-of-Means. APWeb/WAIM (1) 2022: 237-250 - [c225]Shuang Ao
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning. ICML 2022: 822-843 - [c224]Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang
Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection. IJCNN 2022: 1-8 - [i40]Jie Ma, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang:
On the Convergence of Clustered Federated Learning. CoRR abs/2202.06187 (2022) - [i39]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang:
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. CoRR abs/2204.09597 (2022) - [i38]Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang
Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection. CoRR abs/2205.14676 (2022) - [i37]Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang:
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. CoRR abs/2211.13009 (2022) - 2021
- [j133]Xiaochun Cheng, Chengqi Zhang
Editorial: deep learning for 5G IoT systems. Int. J. Mach. Learn. Cybern. 12(11): 3049-3051 (2021) - [j132]Daokun Zhang, Jie Yin, Xingquan Zhu
Search Efficient Binary Network Embedding. ACM Trans. Knowl. Discov. Data 15(4): 61:1-61:27 (2021) - [j131]Zonghan Wu
A Comprehensive Survey on Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(1): 4-24 (2021) - [c223]Shaoshen Wang
Semi-supervised Variational Multi-view Anomaly Detection. APWeb/WAIM (1) 2021: 125-133 - [c222]Hongxin Wu, Chengqi Zhang:
Influence Between Music Based on Big Data Analysis. CIS 2021: 338-342 - [c221]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang:
Generalization in Text-based Games via Hierarchical Reinforcement Learning. EMNLP (Findings) 2021: 1343-1353 - [c220]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang:
Isometric Propagation Network for Generalized Zero-shot Learning. ICLR 2021 - [c219]Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang
Cross-aligned and Gumbel-refactored Autoencoders for Multi-view Anomaly Detection. ICTAI 2021: 1368-1375 - [c218]Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Chengqi Zhang
Multi-graph Multi-label Learning with Dual-granularity Labeling. KDD 2021: 2327-2337 - [i36]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang:
Isometric Propagation Network for Generalized Zero-shot Learning. CoRR abs/2102.02038 (2021) - [i35]Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang:
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering. CoRR abs/2107.04755 (2021) - [i34]Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Zhendong Niu, Chengqi Zhang:
MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning. CoRR abs/2107.09288 (2021) - [i33]Guodong Long, Yue Tan, Jing Jiang, Chengqi Zhang:
Federated Learning for Open Banking. CoRR abs/2108.10749 (2021) - [i32]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang
Generalization in Text-based Games via Hierarchical Reinforcement Learning. CoRR abs/2109.09968 (2021) - 2020
- [j130]Cheng Zheng, Qin Zhang, Guodong Long, Chengqi Zhang
Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention. IEEE Access 8: 82481-82492 (2020) - [j129]Qingfeng Chen
Community detection in complex network based on APT method. Pattern Recognit. Lett. 138: 193-200 (2020) - [j128]Daokun Zhang
Network Representation Learning: A Survey. IEEE Trans. Big Data 6(1): 3-28 (2020) - [j127]Shirui Pan
Learning Graph Embedding With Adversarial Training Methods. IEEE Trans. Cybern. 50(6): 2475-2487 (2020) - [j126]Yan Yan
Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study. IEEE Trans. Knowl. Data Eng. 32(2): 288-301 (2020) - [j125]Haishuai Wang, Jia Wu
Time-Variant Graph Classification. IEEE Trans. Syst. Man Cybern. Syst. 50(8): 2883-2896 (2020) - [j124]Fei Xiong
Social Recommendation With Evolutionary Opinion Dynamics. IEEE Trans. Syst. Man Cybern. Syst. 50(10): 3804-3816 (2020) - [c217]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Attribute Propagation Network for Graph Zero-Shot Learning. AAAI 2020: 4868-4875 - [c216]Han Zheng, Jing Jiang, Pengfei Wei, Guodong Long, Chengqi Zhang:
Competitive and Cooperative Heterogeneous Deep Reinforcement Learning. AAMAS 2020: 1656-1664 - [c215]Yunqiu Xu, Ling Chen
Deep Reinforcement Learning with Transformers for Text Adventure Games. CoG 2020: 65-72 - [c214]Hao Huang, Guodong Long, Tao Shen
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion. COLING 2020: 556-567 - [c213]Yang Li, Tao Shen
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention. COLING 2020: 1653-1664 - [c212]Xueping Peng
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes. ICDM 2020: 412-421 - [c211]Tao Shen
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. IJCAI 2020: 2227-2233 - [c210]Zonghan Wu, Shirui Pan
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. KDD 2020: 753-763 - [c209]Yunqiu Xu, Meng Fang, Ling Chen
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. NeurIPS 2020 - [c208]Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang:
Cooperative Heterogeneous Deep Reinforcement Learning. NeurIPS 2020 - [p5]Guodong Long
Federated Learning for Open Banking. Federated Learning 2020: 240-254 - [i31]Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang:
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. CoRR abs/2005.11650 (2020) - [i30]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. CoRR abs/2006.15479 (2020) - [i29]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Attribute Propagation Network for Graph Zero-shot Learning. CoRR abs/2009.11816 (2020) - [i28]Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Chengqi Zhang:
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes. CoRR abs/2009.13252 (2020) - [i27]Yang Li, Tao Shen, Guodong Long, Jing Jiang, Tianyi Zhou, Chengqi Zhang:
Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention. CoRR abs/2010.03773 (2020) - [i26]Hao Huang, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang:
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion. CoRR abs/2010.04863 (2020) - [i25]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang:
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. CoRR abs/2010.11655 (2020) - [i24]Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang:
Cooperative Heterogeneous Deep Reinforcement Learning. CoRR abs/2011.00791 (2020) - [i23]Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Chengqi Zhang:
Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning. CoRR abs/2012.10650 (2020)
2010 – 2019
- 2019
- [j123]Daokun Zhang
Attributed network embedding via subspace discovery. Data Min. Knowl. Discov. 33(6): 1953-1980 (2019) - [j122]Xianwen Jin, Xianling Liu, Yuejiao Hou, Gesheng Song, Chengqi Zhang:
Preliminary Application of Intravoxel Incoherent Motion Diffusion-Weighted Imaging in Diagnosing Lung Cancer. J. Medical Imaging Health Informatics 9(4): 776-780 (2019) - [j121]Qin Zhang
Salient Subsequence Learning for Time Series Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2193-2207 (2019) - [j120]Xinxin Jiang, Shirui Pan
Cost-Sensitive Parallel Learning Framework for Insurance Intelligence Operation. IEEE Trans. Ind. Electron. 66(12): 9713-9723 (2019) - [j119]Jiangchao Yao
Deep Learning From Noisy Image Labels With Quality Embedding. IEEE Trans. Image Process. 28(4): 1909-1922 (2019) - [j118]Ting Guo
CFOND: Consensus Factorization for Co-Clustering Networked Data. IEEE Trans. Knowl. Data Eng. 31(4): 706-719 (2019) - [j117]Wei Wu
Improved Consistent Weighted Sampling Revisited. IEEE Trans. Knowl. Data Eng. 31(12): 2332-2345 (2019) - [c207]Zonghan Wu, Shirui Pan
Graph WaveNet for Deep Spatial-Temporal Graph Modeling. IJCAI 2019: 1907-1913 - [c206]Lu Liu, Tianyi Zhou
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. IJCAI 2019: 3015-3022 - [c205]Chun Wang, Shirui Pan
Attributed Graph Clustering: A Deep Attentional Embedding Approach. IJCAI 2019: 3670-3676 - [c204]Tao Shen
Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together. NAACL-HLT (1) 2019: 1256-1266 - [c203]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang
Learning to Propagate for Graph Meta-Learning. NeurIPS 2019: 1037-1048 - [i22]Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang
A Comprehensive Survey on Graph Neural Networks. CoRR abs/1901.00596 (2019) - [i21]Shirui Pan, Ruiqi Hu, Sai-Fu Fung, Guodong Long, Jing Jiang, Chengqi Zhang
Learning Graph Embedding with Adversarial Training Methods. CoRR abs/1901.01250 (2019) - [i20]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Attributed Network Embedding via Subspace Discovery. CoRR abs/1901.04095 (2019) - [i19]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Search Efficient Binary Network Embedding. CoRR abs/1901.04097 (2019) - [i18]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang:
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. CoRR abs/1905.04042 (2019) - [i17]Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang:
Graph WaveNet for Deep Spatial-Temporal Graph Modeling. CoRR abs/1906.00121 (2019) - [i16]Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang:
Attributed Graph Clustering: A Deep Attentional Embedding Approach. CoRR abs/1906.06532 (2019) - [i15]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Learning to Propagate for Graph Meta-Learning. CoRR abs/1909.05024 (2019) - 2018
- [j116]Jia Wu
Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications. Complex. 2018: 7861860:1-7861860:3 (2018) - [j115]Wei Wu
K-Ary Tree Hashing for Fast Graph Classification. IEEE Trans. Knowl. Data Eng. 30(5): 936-949 (2018) - [j114]Jia Wu
Multi-Instance Learning with Discriminative Bag Mapping. IEEE Trans. Knowl. Data Eng. 30(6): 1065-1080 (2018) - [j113]Jia Wu
Multiple Structure-View Learning for Graph Classification. IEEE Trans. Neural Networks Learn. Syst. 29(7): 3236-3251 (2018) - [j112]Zhihui Li
Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6323-6332 (2018) - [j111]Qinzhe Zhang, Jia Wu
Dual influence embedded social recommendation. World Wide Web 21(4): 849-874 (2018) - [c202]Tao Shen
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding. AAAI 2018: 5446-5455 - [c201]Daokun Zhang, Jie Yin, Xingquan Zhu
SINE: Scalable Incomplete Network Embedding. ICDM 2018: 737-746 - [c200]Hong Yang, Shirui Pan
Binarized attributed network embedding. ICDM 2018: 1476-1481 - [c199]Tao Shen
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling. ICLR (Poster) 2018 - [c198]Shirui Pan
Adversarially Regularized Graph Autoencoder for Graph Embedding. IJCAI 2018: 2609-2615 - [c197]Wei Wu, Bin Li, Ling Chen
Efficient Attributed Network Embedding via Recursive Randomized Hashing. IJCAI 2018: 2861-2867 - [c196]Tao Shen
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling. IJCAI 2018: 4345-4352 - [c195]Xinxin Jiang, Shirui Pan
Cost-sensitive Hybrid Neural Networks for Heterogeneous and Imbalanced Data. IJCNN 2018: 1-8 - [c194]Daokun Zhang, Jie Yin, Xingquan Zhu
MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding. PAKDD (2) 2018: 196-208 - [i14]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Network Representation Learning: A Survey. CoRR abs/1801.05852 (2018) - [i13]Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang:
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling. CoRR abs/1801.10296 (2018) - [i12]Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang:
Adversarially Regularized Graph Autoencoder. CoRR abs/1802.04407 (2018) - [i11]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding. CoRR abs/1803.02533 (2018) - [i10]Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling. CoRR abs/1804.00857 (2018) - [i9]Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Fast Directional Self-Attention Mechanism. CoRR abs/1805.00912 (2018) - [i8]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
SINE: Scalable Incomplete Network Embedding. CoRR abs/1810.06768 (2018) - [i7]Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang:
A Review for Weighted MinHash Algorithms. CoRR abs/1811.04633 (2018) - 2017
- [j110]Qinzhe Zhang, Jia Wu
Collective Hyping Detection System for Identifying Online Spam Activities. IEEE Intell. Syst. 32(5): 53-63 (2017) - [j109]Shirui Pan
Boosting for graph classification with universum. Knowl. Inf. Syst. 50(1): 53-77 (2017) - [j108]Qingfeng Chen, Yiqi Wang, Baoshan Chen, Chengqi Zhang
Using propensity scores to predict the kinases of unannotated phosphopeptides. Knowl. Based Syst. 135: 60-76 (2017) - [j107]Qingfeng Chen, Chaowang Lan, Baoshan Chen, Lusheng Wang, Jinyan Li, Chengqi Zhang
Exploring Consensus RNA Substructural Patterns Using Subgraph Mining. IEEE ACM Trans. Comput. Biol. Bioinform. 14(5): 1134-1146 (2017) - [j106]Shirui Pan
Task Sensitive Feature Exploration and Learning for Multitask Graph Classification. IEEE Trans. Cybern. 47(3): 744-758 (2017) - [j105]Jia Wu
Positive and Unlabeled Multi-Graph Learning. IEEE Trans. Cybern. 47(4): 818-829 (2017) - [j104]Ting Guo
Combining Structured Node Content and Topology Information for Networked Graph Clustering. ACM Trans. Knowl. Discov. Data 11(3): 29:1-29:29 (2017) - [j103]Haishuai Wang, Peng Zhang, Xingquan Zhu
Incremental Subgraph Feature Selection for Graph Classification. IEEE Trans. Knowl. Data Eng. 29(1): 128-142 (2017) - [c193]Bozhong Liu, Ling Chen
Protecting Location Privacy in Spatial Crowdsourcing using Encrypted Data. EDBT 2017: 478-481 - [c192]Kaisong Song, Wei Gao, Shi Feng, Daling Wang, Kam-Fai Wong
Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness. IJCAI 2017: 2744-2750 - [c191]Daokun Zhang, Jie Yin, Xingquan Zhu
User Profile Preserving Social Network Embedding. IJCAI 2017: 3378-3384 - [c190]Wei Wu, Bin Li, Ling Chen
Consistent Weighted Sampling Made More Practical. WWW 2017: 1035-1043 - [i6]Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
Improved Consistent Weighted Sampling Revisited. CoRR abs/1706.01172 (2017) - [i5]Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, Chengqi Zhang:
DiSAN: Directional Self-Attention Network for RNN/CNN-free Language Understanding. CoRR abs/1709.04696 (2017) - [i4]Jiangchao Yao, Jiajie Wang, Ivor W. Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang:
Deep Learning from Noisy Image Labels with Quality Embedding. CoRR abs/1711.00583 (2017) - 2016
- [j102]Qingfeng Chen, Yi-Ping Phoebe Chen
Interval-Based Similarity for Classifying Conserved RNA Secondary Structures. IEEE Intell. Syst. 31(3): 78-85 (2016) - [j101]Jia Wu
Multi-graph-view subgraph mining for graph classification. Knowl. Inf. Syst. 48(1): 29-54 (2016) - [j100]Jia Wu
SODE: Self-Adaptive One-Dependence Estimators for classification. Pattern Recognit. 51: 358-377 (2016) - [j99]Xiaojun Chang
Convex Sparse PCA for Unsupervised Feature Learning. ACM Trans. Knowl. Discov. Data 11(1): 3:1-3:16 (2016) - [j98]Shirui Pan
Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification. IEEE Trans. Knowl. Data Eng. 28(3): 715-728 (2016) - [j97]Qin Zhang, Peng Zhang
Online Learning from Trapezoidal Data Streams. IEEE Trans. Knowl. Data Eng. 28(10): 2709-2723 (2016) - [j96]Xiaojun Chang
Compound Rank-k Projections for Bilinear Analysis. IEEE Trans. Neural Networks Learn. Syst. 27(7): 1502-1513 (2016) - [j95]Peng Zhang, Jing He
Towards Anomalous Diffusion Sources Detection in a Large Network. ACM Trans. Internet Techn. 16(1): 2:1-2:24 (2016) - [c189]Xiaojun Chang, Yi Yang, Guodong Long, Chengqi Zhang, Alexander G. Hauptmann:
Dynamic Concept Composition for Zero-Example Event Detection. AAAI 2016: 3464-3470 - [c188]Bozhong Liu, Ling Chen, Chunyang Liu, Chengqi Zhang
Mining Co-locations from Continuously Distributed Uncertain Spatial Data. APWeb (1) 2016: 66-78 - [c187]Daokun Zhang, Jie Yin, Xingquan Zhu
Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks. CIKM 2016: 1563-1572 - [c186]Qinzhe Zhang, Jia Wu
Global and Local Influence-based Social Recommendation. CIKM 2016: 1917-1920 - [c185]Shirui Pan
Joint structure feature exploration and regularization for multi-task graph classification. ICDE 2016: 1474-1475 - [c184]Meng Fang, Jie Yin, Xingquan Zhu
TrGraph: Cross-network transfer learning via common signature subgraphs. ICDE 2016: 1534-1535 - [c183]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Homophily, Structure, and Content Augmented Network Representation Learning. ICDM 2016: 609-618 - [c182]Qin Zhang, Jia Wu
Inferring Latent Network from Cascade Data for Dynamic Social Recommendation. ICDM 2016: 669-678 - [c181]Wei Wu, Bin Li, Ling Chen
Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash. ICDM 2016: 1287-1292 - [c180]Qingfeng Chen, Chaowang Lan, Jinyan Li, Baoshan Chen, Lusheng Wang, Chengqi Zhang
Depth-First Search Encoding of RNA Substructures. ICIC (1) 2016: 328-334 - [c179]Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Yang Wang:
Tri-Party Deep Network Representation. IJCAI 2016: 1895-1901 - [c178]Qin Zhang, Jia Wu, Hong Yang, Yingjie Tian, Chengqi Zhang:
Unsupervised Feature Learning from Time Series. IJCAI 2016: 2322-2328 - [c177]Ruiqi Hu, Shirui Pan
Co-clustering enterprise social networks. IJCNN 2016: 107-114 - [c176]Qinzhe Zhang, Qin Zhang, Guodong Long, Peng Zhang, Chengqi Zhang
Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior. PAKDD (1) 2016: 40-51 - [c175]Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
Cross-View Feature Hashing for Image Retrieval. PAKDD (1) 2016: 203-214 - [c174]Kaisong Song, Wei Gao, Ling Chen
Build Emotion Lexicon from the Mood of Crowd via Topic-Assisted Joint Non-negative Matrix Factorization. SIGIR 2016: 773-776 - [c173]Kaisong Song, Ling Chen
PerSentiment: A Personalized Sentiment Classification System for Microblog Users. WWW (Companion Volume) 2016: 255-258 - [i3]Xiaojun Chang
Dynamic Concept Composition for Zero-Example Event Detection. CoRR abs/1601.03679 (2016) - [i2]Haishuai Wang, Jia Wu, Xingquan Zhu, Chengqi Zhang:
Time-Variant Graph Classification. CoRR abs/1609.04350 (2016) - 2015
- [j94]Jia Wu
Self-adaptive attribute weighting for Naive Bayes classification. Expert Syst. Appl. 42(3): 1487-1502 (2015) - [j93]Shirui Pan
Finding the best not the most: regularized loss minimization subgraph selection for graph classification. Pattern Recognit. 48(11): 3783-3796 (2015) - [j92]Shirui Pan
Graph Ensemble Boosting for Imbalanced Noisy Graph Stream Classification. IEEE Trans. Cybern. 45(5): 940-954 (2015) - [j91]Bin Li, Xingquan Zhu
Rating Knowledge Sharing in Cross-Domain Collaborative Filtering. IEEE Trans. Cybern. 45(5): 1054-1068 (2015) - [j90]Hongzhi Yin
Modeling Location-Based User Rating Profiles for Personalized Recommendation. ACM Trans. Knowl. Discov. Data 9(3): 19:1-19:41 (2015) - [j89]Meng Fang, Jie Yin, Xingquan Zhu
TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs. IEEE Trans. Knowl. Data Eng. 27(9): 2536-2549 (2015) - [c172]Haishuai Wang, Peng Zhang, Ling Chen, Chengqi Zhang
SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams. ADC 2015: 318-322 - [c171]Haishuai Wang, Peng Zhang, Ivor W. Tsang
Defragging Subgraph Features for Graph Classification. CIKM 2015: 1687-1690 - [c170]Kaisong Song, Shi Feng, Wei Gao, Daling Wang, Ling Chen
Build Emotion Lexicon from Microblogs by Combining Effects of Seed Words and Emoticons in a Heterogeneous Graph. HT 2015: 283-292 - [c169]Qin Zhang, Peng Zhang, Guodong Long, Wei Ding
Towards Mining Trapezoidal Data Streams. ICDM 2015: 1111-1116 - [c168]Jia Wu, Shirui Pan, Xingquan Zhu, Zhihua Cai, Chengqi Zhang:
Multi-Graph-View Learning for Complicated Object Classification. IJCAI 2015: 3953-3959 - [c167]Yan Yan, Mingkui Tan, Ivor W. Tsang
Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search. IJCAI 2015: 3988-3994 - [c166]Haishuai Wang, Peng Zhang, Ling Chen
Online diffusion source detection in social networks. IJCNN 2015: 1-8 - [c165]Lu Qin
Locally Densest Subgraph Discovery. KDD 2015: 965-974 - [c164]Bozhong Liu, Ling Chen, Chunyang Liu, Chengqi Zhang
RCP Mining: Towards the Summarization of Spatial Co-location Patterns. SSTD 2015: 451-469 - [e14]Chengqi Zhang
Data Science - Second International Conference, ICDS 2015 Sydney, Australia, August 8-9, 2015. Proceedings. Lecture Notes in Computer Science 9208, Springer 2015, ISBN 978-3-319-24473-0 [contents] - [e13]Longbing Cao, Chengqi Zhang, Thorsten Joachims, Geoffrey I. Webb, Dragos D. Margineantu, Graham Williams:
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015. ACM 2015, ISBN 978-1-4503-3664-2 [contents] - 2014
- [j88]Guohua Liang, Xingquan Zhu
The effect of varying levels of class distribution on bagging for different algorithms: An empirical study. Int. J. Mach. Learn. Cybern. 5(1): 63-71 (2014) - [j87]Yifan Fu, Bin Li, Xingquan Zhu
Active Learning without Knowing Individual Instance Labels: A Pairwise Label Homogeneity Query Approach. IEEE Trans. Knowl. Data Eng. 26(4): 808-822 (2014) - [j86]Jia Wu
Bag Constrained Structure Pattern Mining for Multi-Graph Classification. IEEE Trans. Knowl. Data Eng. 26(10): 2382-2396 (2014) - [c163]Jia Wu
Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning. CIKM 2014: 1699-1708 - [c162]Ting Guo
SNOC: Streaming Network Node Classification. ICDM 2014: 150-159 - [c161]Jia Wu
Multi-graph-view Learning for Graph Classification. ICDM 2014: 590-599 - [c160]Jia Wu
Dual instance and attribute weighting for Naive Bayes classification. IJCNN 2014: 1675-1679 - [c159]Jia Wu
Attribute weighting: How and when does it work for Bayesian Network Classification. IJCNN 2014: 4076-4083 - [c158]Jia Wu
Multi-Instance Learning from Positive and Unlabeled Bags. PAKDD (1) 2014: 237-248 - [c157]Jia Wu
Multi-Graph Learning with Positive and Unlabeled Bags. SDM 2014: 217-225 - [c156]Lu Qin
Scalable big graph processing in MapReduce. SIGMOD Conference 2014: 827-838 - [c155]Ying Zhang
Matching dominance: capture the semantics of dominance for multi-dimensional uncertain objects. SSDBM 2014: 18:1-18:12 - 2013
- [j85]Jun Li
Learning colours from textures by sparse manifold embedding. Signal Process. 93(6): 1485-1495 (2013) - [j84]Bin Li, Ling Chen
Noisy but non-malicious user detection in social recommender systems. World Wide Web 16(5-6): 677-699 (2013) - [c154]Li Wan, Ling Chen
Mining frequent serial episodes over uncertain sequence data. EDBT 2013: 215-226 - [c153]Shirui Pan
Graph stream classification using labeled and unlabeled graphs. ICDE 2013: 398-409 - [c152]Jia Wu
Multi-instance Multi-graph Dual Embedding Learning. ICDM 2013: 827-836 - [c151]Li Wan, Ling Chen
Mining Dependent Frequent Serial Episodes from Uncertain Sequence Data. ICDM 2013: 1211-1216 - [c150]Chunyang Liu, Ling Chen
Summarizing probabilistic frequent patterns: a fast approach. KDD 2013: 527-535 - [c149]Zhenxing Qin, Alan Tao Wang, Chengqi Zhang
Cost-Sensitive Classification with k-Nearest Neighbors. KSEM 2013: 112-131 - [c148]Ling Chen
Mining Probabilistic Representative Frequent Patterns From Uncertain Data. SDM 2013: 73-81 - [c147]Meng Fang, Jie Yin, Chengqi Zhang
Active Class Discovery and Learning for Networked Data. SDM 2013: 315-323 - 2012
- [j83]Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang
Mining bridging rules between conceptual clusters. Appl. Intell. 36(1): 108-118 (2012) - [j82]Tao Wang, Zhenxing Qin, Shichao Zhang, Chengqi Zhang
Cost-sensitive classification with inadequate labeled data. Inf. Syst. 37(5): 508-516 (2012) - [j81]Mingli Song, Dacheng Tao, Chun Chen, Jiajun Bu, Jiebo Luo
Probabilistic Exposure Fusion. IEEE Trans. Image Process. 21(1): 341-357 (2012) - [c146]Meng Fang, Xingquan Zhu, Chengqi Zhang:
Active Learning from Oracle with Knowledge Blind Spot. AAAI 2012: 2421-2422 - [c145]Xinhua Zhu, Yaxin Yu, Yuming Ou
System Modeling of a Smart-Home Healthy Lifestyle Assistant. ADMI 2012: 65-78 - [c144]Guohua Liang, Chengqi Zhang
A Comparative Study of Sampling Methods and Algorithms for Imbalanced Time Series Classification. Australasian Conference on Artificial Intelligence 2012: 637-648 - [c143]Guodong Long, Ling Chen
TCSST: transfer classification of short & sparse text using external data. CIKM 2012: 764-772 - [c142]Guohua Liang, Chengqi Zhang
An efficient and simple under-sampling technique for imbalanced time series classification. CIKM 2012: 2339-2342 - [c141]Bin Li, Xingquan Zhu
Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams. ICDM 2012: 399-408 - [c140]Guoxin Su
Semantic Analysis of Component-aspect Dynamism for Connector-based Architecture Styles. WICSA/ECSA 2012: 151-160 - [i1]Guoxin Su, Mingsheng Ying, Chengqi Zhang:
Session Communication and Integration. CoRR abs/1210.2125 (2012) - 2011
- [j80]Xingquan Zhu
CLAP: Collaborative pattern mining for distributed information systems. Decis. Support Syst. 52(1): 40-51 (2011) - [j79]Tao Yang, Vojislav Kecman, Longbing Cao
Margin-based ensemble classifier for protein fold recognition. Expert Syst. Appl. 38(10): 12348-12355 (2011) - [j78]Yanchang Zhao
Enhancing grid-density based clustering for high dimensional data. J. Syst. Softw. 84(9): 1524-1539 (2011) - [j77]Xingquan Zhu
One-class learning and concept summarization for data streams. Knowl. Inf. Syst. 28(3): 523-553 (2011) - [j76]Longbing Cao
Combined Mining: Discovering Informative Knowledge in Complex Data. IEEE Trans. Syst. Man Cybern. Part B 41(3): 699-712 (2011) - [c139]Guohua Liang, Xingquan Zhu, Chengqi Zhang:
An Empirical Study of Bagging Predictors for Different Learning Algorithms. AAAI 2011: 1802-1803 - [c138]Guohua Liang, Chengqi Zhang
An Empirical Evaluation of Bagging with Different Algorithms on Imbalanced Data. ADMA (1) 2011: 339-352 - [c137]Guohua Liang, Xingquan Zhu
An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution. Australasian Conference on Artificial Intelligence 2011: 213-222 - [c136]Jun Li
Learning Colours from Textures by Sparse Manifold Embedding. Australasian Conference on Artificial Intelligence 2011: 600-608 - [c135]Guohua Liang, Chengqi Zhang:
Empirical Study of Bagging Predictors on Medical Data. AusDM 2011: 31-40 - [c134]Xiangjun Dong, Zhigang Zheng, Longbing Cao
e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning. CIKM 2011: 825-830 - [c133]Yifan Fu, Bin Li, Xingquan Zhu
Do they belong to the same class: active learning by querying pairwise label homogeneity. CIKM 2011: 2161-2164 - [c132]Yanshan Xiao, Bo Liu, Jie Yin, Longbing Cao
Similarity-Based Approach for Positive and Unlabeled Learning. IJCAI 2011: 1577-1582 - [c131]Bin Li, Xingquan Zhu
Cross-Domain Collaborative Filtering over Time. IJCAI 2011: 2293-2298 - [c130]Chao Luo, Yanchang Zhao, Dan Luo, Chengqi Zhang
Agent-Based Subspace Clustering. PAKDD (2) 2011: 370-381 - [c129]Ling Chen
Semi-supervised Variable Weighting for Clustering. SDM 2011: 862-871 - 2010
- [j75]Dingrong Yuan, Xiaofang You, Chengqi Zhang:
Against-Expectation Pattern Discovery: Identifying Interactions within Items with Large Relative-Contrasts in Databases. IEEE Intell. Informatics Bull. 11(1): 14-23 (2010) - [j74]Yongsong Qin, Shichao Zhang, Chengqi Zhang
Combining kNN Imputation and Bootstrap Calibrated: Empirical Likelihood for Incomplete Data Analysis. Int. J. Data Warehous. Min. 6(4): 61-73 (2010) - [j73]Chengqi Zhang
Introduction to the Domain-Driven Data Mining Special Section. IEEE Trans. Knowl. Data Eng. 22(6): 753-754 (2010) - [j72]Longbing Cao
Flexible Frameworks for Actionable Knowledge Discovery. IEEE Trans. Knowl. Data Eng. 22(9): 1299-1312 (2010) - [c128]Zhenxing Qin, Chengqi Zhang
Cost Sensitive Classification in Data Mining. ADMA (1) 2010: 1-11 - [c127]Yong Yang, Dan Luo, Chengqi Zhang
A Multiple System Performance Monitoring Model for Web Services. ADMI 2010: 149-161 - [c126]Guoxin Su
An ADL-Approach to Specifying and Analyzing Centralized-Mode Architectural Connection. ECSA 2010: 8-23 - [c125]Tao Yang, Vojislav Kecman, Longbing Cao
Testing Adaptive Local Hyperplane for multi-class classification by double cross-validation. IJCNN 2010: 1-5 - [c124]Tao Yang, Vojislav Kecman, Longbing Cao
Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis. PAKDD (2) 2010: 55-62 - [c123]Tao Yang, Longbing Cao
A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K >= 1. PAKDD (2) 2010: 89-100 - [e12]Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu:
ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4256-0 [contents] - [e11]Wei Fan, Wynne Hsu, Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu:
ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia, 13 December 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4257-7 [contents]
2000 – 2009
- 2009
- [j71]Xiaowei Yan, Chengqi Zhang
Confidence Metrics for Association Rule Mining. Appl. Artif. Intell. 23(8): 713-737 (2009) - [j70]Yuming Ou, Longbing Cao, Chengqi Zhang:
Adaptive Anomaly Detection of Coupled Activity Sequences. IEEE Intell. Informatics Bull. 10(1): 12-16 (2009) - [j69]Yongsong Qin, Shichao Zhang, Xiaofeng Zhu
POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases. Expert Syst. Appl. 36(2): 2794-2804 (2009) - [j68]Xiaowei Yan, Chengqi Zhang
Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support. Expert Syst. Appl. 36(2): 3066-3076 (2009) - [j67]Yongsong Qin, Shichao Zhang, Xiaofeng Zhu
Estimating confidence intervals for structural differences between contrast groups with missing data. Expert Syst. Appl. 36(3): 6431-6438 (2009) - [j66]Zili Zhang, Pengyi Yang
An Agent-Based Hybrid System for Microarray Data Analysis. IEEE Intell. Syst. 24(5): 53-63 (2009) - [j65]Huaifeng Zhang, Yanchang Zhao
Customer Activity Sequence Classification for Debt Prevention in Social Security. J. Comput. Sci. Technol. 24(6): 1000-1009 (2009) - [c122]Longbing Cao
Ubiquitous Intelligence in Agent Mining. ADMI 2009: 23-35 - [c121]Yanshan Xiao, Bo Liu, Longbing Cao
Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data. ICDM Workshops 2009: 82-87 - [c120]Xingquan Zhu
Vague One-Class Learning for Data Streams. ICDM 2009: 657-666 - [c119]Shanshan Wu, Yanchang Zhao
Debt Detection in Social Security by Adaptive Sequence Classification. KSEM 2009: 192-203 - [c118]Yanchang Zhao
Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data. PAKDD 2009: 656-663 - [c117]Yanchang Zhao
Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns. ECML/PKDD (2) 2009: 648-663 - [c116]Wei Wang, Chuan Xiao
Efficient approximate entity extraction with edit distance constraints. SIGMOD Conference 2009: 759-770 - [c115]Chengqi Zhang
Developing Actionable Trading Strategies for Trading Agents. Web Intelligence 2009: 9 - [p4]Chayapol Moemeng, Vladimir Gorodetsky, Ziye Zuo, Yong Yang, Chengqi Zhang
Agent-Based Distributed Data Mining: A Survey. Data Mining and Multi-agent Integration 2009: 47-58 - 2008
- [b5]Qingfeng Chen, Chengqi Zhang
Secure Transaction Protocol Analysis: Models and Applications. Lecture Notes in Computer Science 5111, Springer 2008, ISBN 978-3-540-85073-1 - [j64]Longbing Cao
Activity Mining: from Activities to Actions. Int. J. Inf. Technol. Decis. Mak. 7(2): 259-273 (2008) - [j63]Xingquan Zhu, Chengqi Zhang, David L. Olson:
Editorial. Int. J. Softw. Informatics 2(2): 89-93 (2008) - [j62]Shichao Zhang, Xindong Wu, Chengqi Zhang
Computing the minimum-support for mining frequent patterns. Knowl. Inf. Syst. 15(2): 233-257 (2008) - [j61]Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Yongsong Qin, Chengqi Zhang
Missing Value Imputation Based on Data Clustering. Trans. Comput. Sci. 1: 128-138 (2008) - [j60]Longbing Cao
Mining Impact-Targeted Activity Patterns in Imbalanced Data. IEEE Trans. Knowl. Data Eng. 20(8): 1053-1066 (2008) - [j59]Longbing Cao
Engineering Open Complex Agent Systems: A Case Study. IEEE Trans. Syst. Man Cybern. Part C 38(4): 483-496 (2008) - [c114]Yanchang Zhao
Combined Pattern Mining: From Learned Rules to Actionable Knowledge. Australasian Conference on Artificial Intelligence 2008: 393-403 - [c113]Peerapol Moemeng, Longbing Cao
F-TRADE 3.0: An Agent-Based Integrated Framework for Data Mining Experiments. Web Intelligence/IAT Workshops 2008: 612-615 - [c112]Chao Luo, Yanchang Zhao
Exception Mining on Multiple Time Series in Stock Market. Web Intelligence/IAT Workshops 2008: 690-693 - [c111]Bo Liu, Longbing Cao
Multi-Space-Mapped SVMs for Multi-class Classification. ICDM 2008: 911-916 - [c110]Xingquan Zhu
Cleansing Noisy Data Streams. ICDM 2008: 1139-1144 - [c109]Huaifeng Zhang, Yanchang Zhao
Combined Association Rule Mining. PAKDD 2008: 1069-1074 - [c108]Yuming Ou
Domain-Driven Local Exceptional Pattern Mining for Detecting Stock Price Manipulation. PRICAI 2008: 849-858 - [c107]Yanchang Zhao
Efficient Mining of Event-Oriented Negative Sequential Rules. Web Intelligence 2008: 336-342 - [p3]Chengqi Zhang
Intelligent Agent. Wiley Encyclopedia of Computer Science and Engineering 2008 - 2007
- [j58]Xiaowei Yan, Shichao Zhang, Chengqi Zhang
On Data Structures for Association Rule Discovery. Appl. Artif. Intell. 21(2): 57-79 (2007) - [j57]Yongsong Qin, Shichao Zhang, Xiaofeng Zhu
Semi-parametric optimization for missing data imputation. Appl. Intell. 27(1): 79-88 (2007) - [j56]Qingfeng Chen, Yi-Ping Phoebe Chen
Detecting inconsistency in biological molecular databases using ontologies. Data Min. Knowl. Discov. 15(2): 275-296 (2007) - [j55]Longbing Cao
Domain-Driven, Actionable Knowledge Discovery. IEEE Intell. Syst. 22(4): 78-88 (2007) - [j54]Longbing Cao
Knowledge actionability: satisfying technical and business interestingness. Int. J. Bus. Intell. Data Min. 2(4): 496-514 (2007) - [j53]Longbing Cao
The Evolution of KDD: towards Domain-Driven Data Mining. Int. J. Pattern Recognit. Artif. Intell. 21(4): 677-692 (2007) - [j52]Shichao Zhang, Jilian Zhang, Chengqi Zhang
EDUA: An efficient algorithm for dynamic database mining. Inf. Sci. 177(13): 2756-2767 (2007) - [j51]Longbing Cao, Chengqi Zhang
DDDM2007: Domain Driven Data Mining. SIGKDD Explor. 9(2): 84-86 (2007) - [j50]Zili Zhang, Chengqi Zhang:
Building agent-based hybrid intelligent systems: A case study. Web Intell. Agent Syst. 5(3): 255-271 (2007) - [c106]Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, Chengqi Zhang:
Measuring the Uncertainty of Differences for Contrasting Groups. AAAI 2007: 1920-1921 - [c105]Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Chengqi Zhang:
Cost-Sensitive Imputing Missing Values with Ordering. AAAI 2007: 1922-1923 - [c104]Longbing Cao
Agent-Mining Interaction: An Emerging Area. AIS-ADM 2007: 60-73 - [c103]Longbing Cao
F-trade: an agent-mining symbiont for financial services. AAMAS 2007: 262 - [c102]Huaifeng Zhang, Yanchang Zhao, Longbing Cao
Class Association Rule Mining with Multiple Imbalanced Attributes. Australian Conference on Artificial Intelligence 2007: 827-831 - [c101]Longbing Cao
Developing Actionable Trading Strategies for Trading Agents. IAT 2007: 72-75 - [c100]Yuming Ou
Detecting Turning Points of Trading Price and Return Volatility for Market Surveillance Agents. Web Intelligence/IAT Workshops 2007: 491-494 - [c99]Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
Cost-Time Sensitive Decision Tree with Missing Values. KSEM 2007: 447-459 - [c98]Jiarui Ni, Longbing Cao, Chengqi Zhang:
Evolutionary Optimization of Trading Strategies. DMBiz@PAKDD 2007: 11-24 - [c97]Dan Luo, Longbing Cao, Chao Luo, Chengqi Zhang, Weiyuan Wang:
Towards Business Interestingness in Actionable Knowledge Discovery. DMBiz@PAKDD 2007: 99-109 - [c96]Chengqi Zhang
GBKII: An Imputation Method for Missing Values. PAKDD 2007: 1080-1087 - [c95]Zhangyan Xu, Chengqi Zhang
Efficient Attribute Reduction Based on Discernibility Matrix. RSKT 2007: 13-21 - [e10]Vladimir Gorodetsky, Chengqi Zhang, Victor A. Skormin, Longbing Cao:
Autonomous Intelligent Systems: Multi-Agents and Data Mining, Second International Workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007, Proceedings. Lecture Notes in Computer Science 4476, Springer 2007, ISBN 978-3-540-72838-2 [contents] - 2006
- [j49]Yue Xu, Kankana Chakrabarty, Chengqi Zhang:
A Neural Network Abductive Model. Aust. J. Intell. Inf. Process. Syst. 9(1): 71-83 (2006) - [j48]Longbing Cao
Domain-Driven Data Mining: A Practical Methodology. Int. J. Data Warehous. Min. 2(4): 49-65 (2006) - [j47]Longbing Cao, Chengqi Zhang, Jiming Liu:
Ontology-based integration of business intelligence. Web Intell. Agent Syst. 4(3): 313-325 (2006) - [c94]Chengqi Zhang, Longbing Cao:
Domain-Driven Data Mining: Methodologies and Applications. AMT 2006: 13-16 - [c93]Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
Kernel-Based Multi-Imputation for Missing Data. AMT 2006: 106-111 - [c92]Yanchang Zhao, Chengqi Zhang, Shichao Zhang:
Efficient Frequent Itemsets Mining by Sampling. AMT 2006: 112-117 - [c91]Zhenxing Qin, Shichao Zhang, Chengqi Zhang:
Missing or absent? A Question in Cost-sensitive Decision Tree. AMT 2006: 118-125 - [c90]Jiarui Ni, Longbing Cao, Chengqi Zhang:
Agent Services-Oriented Architectural Design of a Framework for Artificial Stock Markets. AMT 2006: 396-399 - [c89]Yanchang Zhao, Chengqi Zhang
Adapting K-Means Algorithm for Discovering Clusters in Subspaces. APWeb 2006: 53-62 - [c88]Qingfeng Chen, Yi-Ping Phoebe Chen
Detecting Collusion Attacks in Security Protocols. APWeb 2006: 297-306 - [c87]Yanchang Zhao, Chengqi Zhang
Enhancing DWT for Recent-Biased Dimension Reduction of Time Series Data. Australian Conference on Artificial Intelligence 2006: 1048-1053 - [c86]Yanchang Zhao, Longbing Cao, Yvonne Morrow, Yuming Ou, Jiarui Ni, Chengqi Zhang:
Discovering Debtor Patterns of Centrelink Customers. AusDM 2006: 135-144 - [c85]Jiarui Ni, Chengqi Zhang:
A dynamic storage method for stock transaction data. Computational Intelligence 2006: 350-355 - [c84]Jiarui Ni, Chengqi Zhang
A Human-Friendly MAS for Mining Stock Data. IAT Workshops 2006: 19-22 - [c83]Longbing Cao
Stock Data Mining through Fuzzy Genetic Algorithms. JCIS 2006 - [c82]Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang
Identifying bridging rules between conceptual clusters. KDD 2006: 815-820 - [c81]Shichao Zhang, Jeffrey Xu Yu, Jingli Lu, Chengqi Zhang
Is Frequency Enough for Decision Makers to Make Decisions?. PAKDD 2006: 499-503 - [c80]Longbing Cao
Domain-Driven Actionable Knowledge Discovery in the Real World. PAKDD 2006: 821-830 - [c79]Qingfeng Chen, Yi-Ping Phoebe Chen
Mining Frequent Itemsets for Protein Kinase Regulation. PRICAI 2006: 222-230 - [c78]Longbing Cao, Dan Luo, Chengqi Zhang:
Fuzzy Genetic Algorithms for Pairs Mining. PRICAI 2006: 711-720 - [c77]Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
Optimized Parameters for Missing Data Imputation. PRICAI 2006: 1010-1016 - [c76]Jiaqi Wang, Chengqi Zhang
Dynamic Focus Strategies for Electronic Trade Execution in Limit Order Markets. CEC/EEE 2006: 26 - [c75]Longbing Cao
Intelligence Metasynthesis in Building Business Intelligence Systems. WImBI 2006: 454-470 - [p2]Jiaqi Wang, Chengqi Zhang, Xindong Wu, Hongwei Qi, Jue Wang:
SVM-OD: SVM Method to Detect Outliers. Foundations and Novel Approaches in Data Mining 2006: 129-141 - 2005
- [j46]Xiaowei Yan, Chengqi Zhang
Armga: Identifying Interesting Association Rules with Genetic Algorithms. Appl. Artif. Intell. 19(7): 677-689 (2005) - [j45]Chengqi Zhang, Zhenxing Qin, Xiaowei Yan:
Association-Based Segmentation for Chinese-Crossed Query Expansion. IEEE Intell. Informatics Bull. 5(1): 18-25 (2005) - [j44]Ruili Wang, Weixiong Rao, Chengqi Zhang:
XEvent: An Event Notification System over Distributed Hash Table (DHT) Networks. IEEE Intell. Informatics Bull. 6(2): 19-25 (2005) - [j43]Jeffrey Xu Yu, Yuming Ou
Identifying Interesting Customers through Web Log Classification. IEEE Intell. Syst. 20(3): 55-59 (2005) - [j42]Jiaqi Wang, Xindong Wu, Chengqi Zhang
Support vector machines based on K-means clustering for real-time business intelligence systems. Int. J. Bus. Intell. Data Min. 1(1): 54-64 (2005) - [j41]Xindong Wu, Chengqi Zhang
Database classification for multi-database mining. Inf. Syst. 30(1): 71-88 (2005) - [j40]Qingfeng Chen, Chengqi Zhang
ENDL: A Logical Framework for Verifying Secure Transaction Protocols. Knowl. Inf. Syst. 7(1): 84-109 (2005) - [j39]Xiaochun Cheng
An improved model-based method to test circuit faults. Theor. Comput. Sci. 341(1-3): 150-161 (2005) - [c74]Chengqi Zhang
In-Depth Data Mining and Its Application in Stock Market. ADMA 2005: 13 - [c73]Chengqi Zhang
Agents and Data Mining: Mutual Enhancement by Integration. AIS-ADM 2005: 50-61 - [c72]Li Lin, Longbing Cao, Chengqi Zhang:
The Fish-eye Visualization of Foreign Currency Exchange Data Streams. APVIS 2005: 91-96 - [c71]Ailing Ni, Xiaofeng Zhu, Chengqi Zhang
Any-Cost Discovery: Learning Optimal Classification Rules. Australian Conference on Artificial Intelligence 2005: 123-132 - [c70]Shichao Zhang, Xindong Wu, Jilian Zhang, Chengqi Zhang
A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases. DaWaK 2005: 305-314 - [c69]Li Lin, Longbing Cao, Chengqi Zhang:
The Visualization of Large Database in Stock Market. Databases and Applications 2005: 163-166 - [c68]Qingfeng Chen, Yi-Ping Phoebe Chen
A Framework for Merging Inconsistent Beliefs in Security Protocol Analysis. DEEC 2005: 119-124 - [c67]Zhenxing Qin, Chengqi Zhang
Dynamic Test-Sensitive Decision Trees with Multiple Cost Scales. FSKD (1) 2005: 402-405 - [c66]Li Lin, Longbing Cao, Chengqi Zhang:
Genetic Algorithms for Robust Optimization in Financial Applications. Computational Intelligence 2005: 387-391 - [c65]Longbing Cao
Agent Services-Orinted Architectural Design of Open Complex Agent Systems. IAT 2005: 120-123 - [c64]Jiarui Ni, Chengqi Zhang
An Efficient Implementation of the Backtesting of Trading Strategies. ISPA 2005: 126-131 - [c63]Yanchang Zhao, Chengqi Zhang
A Recent-Biased Dimension Reduction Technique for Time Series Data. PAKDD 2005: 751-757 - [p1]Chengqi Zhang
Identifying Interesting Patterns in Multidatabases. Classification and Clustering for Knowledge Discovery 2005: 91-112 - [e9]Chengqi Zhang
Guest Editors' Introduction: Special Section on Intelligent Data Preparation. IEEE Trans. Knowl. Data Eng. 17(9): 1163-1165 (2005) - 2004
- [b4]Zili Zhang, Chengqi Zhang
Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving. Lecture Notes in Computer Science 2938, Springer 2004, ISBN 3-540-20908-5 - [b3]Shichao Zhang, Chengqi Zhang
Knowledge Discovery in Multiple Databases. Advanced Information and Knowledge Processing, Springer 2004, ISBN 978-1-4471-1050-7, pp. 1-233 - [j38]Shichao Zhang, Chengqi Zhang
Mining Dependent Patterns In Probabilistic Databases. Cybern. Syst. 35(4): 399-424 (2004) - [j37]Chengqi Zhang, Meiling Liu, Wenlong Nie, Shichao Zhang:
Identifying Global Exceptional Patterns in Multi-database Mining. IEEE Intell. Informatics Bull. 3(1): 19-24 (2004) - [j36]Shichao Zhang, Chengqi Zhang
Guest Editors' Introduction: Information Enhancement for Data Mining. IEEE Intell. Syst. 19(2): 12-13 (2004) - [j35]Xiaowei Yan, Chengqi Zhang
Identifying Software Component Association With Genetic Algorithm. Int. J. Softw. Eng. Knowl. Eng. 14(4): 441-447 (2004) - [j34]Shichao Zhang, Jingli Lu, Chengqi Zhang
A fuzzy logic based method to acquire user threshold of minimum-support for mining association rules. Inf. Sci. 164(1-4): 1-16 (2004) - [j33]Shichao Zhang, Chengqi Zhang
An efficient strategy for mining exceptions in multi-databases . Inf. Sci. 165(1-2): 1-20 (2004) - [j32]Xindong Wu, Chengqi Zhang
Efficient mining of both positive and negative association rules. ACM Trans. Inf. Syst. 22(3): 381-405 (2004) - [c62]Jiaqi Wang, Chengqi Zhang:
KBSVM: KMeans-based SVM for Business Intelligence. AMCIS 2004: 226 - [c61]Qingfeng Chen, Chengqi Zhang
A Verification Model for Electronic Transaction Protocols. APWeb 2004: 824-833 - [c60]Zhenxing Qin, Shichao Zhang, Chengqi Zhang
Cost-Sensitive Decision Trees with Multiple Cost Scales. Australian Conference on Artificial Intelligence 2004: 380-390 - [c59]Longbing Cao
Agent Services-Driven Plug-and-Play in F-TRADE. Australian Conference on Artificial Intelligence 2004: 917-922 - [c58]Yanchang Zhao, Chengqi Zhang
Discovering Interesting Association Rules by Clustering. Australian Conference on Artificial Intelligence 2004: 1055-1061 - [c57]Longbing Cao
Integrative Early Requirements Analysis for Agent-Based Systems. HIS 2004: 118-123 - [c56]Longbing Cao
Agent Services-Based Infrastructure for Online Assessment of Trading Strategies. IAT 2004: 345-348 - [c55]Chunsheng Li, Zili Zhang, Chengqi Zhang
A Platform for Dynamic Organization of Agents in Agent-Based Systems. IAT 2004: 454-457 - [c54]Longbing Cao
Integration of Business Intelligence Based on Three-Level Ontology Services. Web Intelligence 2004: 17-23 - [c53]Yanchang Zhao, Chengqi Zhang
Clustering High-Dimensional Data with Low-Order Neighbors. Web Intelligence 2004: 103-109 - [e8]Honghua Dai, Ramakrishnan Srikant, Chengqi Zhang:
Advances in Knowledge Discovery and Data Mining, 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings. Lecture Notes in Computer Science 3056, Springer 2004, ISBN 3-540-22064-X [contents] - [e7]Chengqi Zhang, Hans W. Guesgen, Wai-Kiang Yeap:
PRICAI 2004: Trends in Artificial Intelligence, 8th Pacific Rim International Conference on Artificial Intelligence, Auckland, New Zealand, August 9-13, 2004, Proceedings. Lecture Notes in Computer Science 3157, Springer 2004, ISBN 3-540-22817-9 [contents] - 2003
- [j31]Chengqi Zhang
Temporal Constraint Satisfaction in Matrix Method. Appl. Artif. Intell. 17(2): 135-154 (2003) - [j30]Shichao Zhang, Chengqi Zhang
Data Preparation for Data Mining. Appl. Artif. Intell. 17(5-6): 375-381 (2003) - [j29]Zili Zhang, Chengqi Zhang
An Agent-Based Hybrid Framework for Database Mining. Appl. Artif. Intell. 17(5-6): 383-398 (2003) - [j28]Yuefeng Li, Chengqi Zhang
Cooperative Strategy for Web Data Mining and Cleaning. Appl. Artif. Intell. 17(5-6): 443-460 (2003) - [j27]Xiaowei Yan, Chengqi Zhang
Toward Databases Mining: Pre-Processing Collected Data. Appl. Artif. Intell. 17(5-6): 545-561 (2003) - [j26]Shichao Zhang, Chengqi Zhang:
A Probability Data Model and its Semantics. J. Res. Pract. Inf. Technol. 35(4): 237-256 (2003) - [j25]Shichao Zhang, Chengqi Zhang:
Discovering Associations in Very Large Databases by Approximating. Acta Cybern. 16(1): 155-177 (2003) - [j24]Chengqi Zhang
Identifying Approximate Itemsets of Interest in Large Databases. Appl. Intell. 18(1): 91-104 (2003) - [j23]Shichao Zhang, Xindong Wu, Chengqi Zhang:
Multi-Database Mining. IEEE Intell. Informatics Bull. 2(1): 5-13 (2003) - [j22]Shichao Zhang, Chengqi Zhang
Post-mining: maintenance of association rules by weighting. Inf. Syst. 28(7): 691-707 (2003) - [c52]Qingfeng Chen, Chengqi Zhang
Verifying the Purchase Request in SET Protocol. APWeb 2003: 263-274 - [c51]Chunsheng Li, Qingfeng Song, Mei Wang, Chengqi Zhang:
SCTR: An Approach to Digitizing Welllogging Graphn. Computer Graphics and Imaging 2003: 285-288 - [c50]Zili Zhang, Chengqi Zhang:
Building Agent-Based Hybrid Intelligent Systems. HIS 2003: 799-808 - [c49]Longbing Cao, Dan Luo, Chao Luo, Chengqi Zhang:
Systematic Engineering in Designing Architecture of Telecommunications Business Intelligence System. HIS 2003: 1084-1093 - [c48]Chunsheng Li, Chengqi Zhang
An Approach to Digitizing and Managing Well-Logging Parameter Graphs with Agent-Based Perspective. IAT 2003: 11-17 - [c47]Chunsheng Li, Chengqi Zhang
A Ring-Based Architectural Model for Middle Agents in Agent-Based System. IDEAL 2003: 94-98 - [c46]Xiaowei Yan, Chengqi Zhang
A Database-Independent Approach of Mining Association Rules with Genetic Algorithm. IDEAL 2003: 882-886 - [c45]Qingfeng Chen, Chengqi Zhang
Verifying the Payment Authorization in SET Protocol. IDEAL 2003: 914-918 - [c44]Chunsheng Li, Chengqi Zhang
Theoretical Evaluation of Ring-Based Architectural Model for Middle Agents in Agent-Based System. ISMIS 2003: 603-607 - [c43]Chunsheng Li, Chengqi Zhang
An Agent-Based Curve-Digitizing System for Well-Logging Data Management. ITCC 2003: 656-660 - [c42]Xiaowei Yan, Chengqi Zhang
Identifying Frequent Terms in Text Databases by Association Semantics. ITCC 2003: 672-675 - [c41]Longbing Cao, Chunsheng Li, Chengqi Zhang, Ruwei Dai:
Open Giant Intelligent Information Systems and Its Agent-Oriented Analysis and Design. SEKE 2003: 85-89 - [c40]Xiaowei Yan, Chengqi Zhang, Shichao Zhang:
A Database-Independent Strategy for Confidence Determination. SEKE 2003: 621-625 - [c39]Longbing Cao, Chunsheng Li, Chengqi Zhang, Ruwei Dai:
Open Giant Intelligent Information Systems and Its Multiagent-Oriented System Design. Software Engineering Research and Practice 2003: 816-822 - 2002
- [b2]Chengqi Zhang, Shichao Zhang:
Association Rule Mining, Models and Algorithms. Lecture Notes in Computer Science 2307, Springer 2002, ISBN 3-540-43533-6 - [j21]Shichao Zhang, Chengqi Zhang
Propagating Temporal Relations of Intervals by Matrix. Appl. Artif. Intell. 16(1): 1-27 (2002) - [j20]Shichao Zhang, Chengqi Zhang
Discovering Causality in Large Databases. Appl. Artif. Intell. 16(5): 333-358 (2002) - [j19]Xudong Luo
A Hybrid Model for Sharing Information Between Fuzzy, Uncertain and Default Reasoning Models in Multi-agent Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 10(4): 401- (2002) - [j18]Shichao Zhang, Chengqi Zhang
Anytime mining for multiuser applications. IEEE Trans. Syst. Man Cybern. Part A 32(4): 515-521 (2002) - [j17]Shichao Zhang, Chengqi Zhang
Encoding probability propagation in belief networks. IEEE Trans. Syst. Man Cybern. Part A 32(4): 526-531 (2002) - [c38]Chengqi Zhang
An Agent-Based Framework for Petroleum Information Services from Distributed Heterogeneous Data Resources. APSEC 2002: 593-602 - [c37]Zili Zhang, Chengqi Zhang
An improvement to matchmaking algorithms for middle agents. AAMAS 2002: 1340-1347 - [c36]Shichao Zhang, Chengqi Zhang, Xiaowei Yan, Zhenxing Qin:
Identifying Exceptional Patterns in Multi-Databases. FSKD 2002: 146-150 - [c35]Chengqi Zhang, Shichao Zhang, Xiaowei Yan, Zhenxing Qin:
Mind the Trends When You Mine: Incremental Data Mining. FSKD 2002: 476- - [c34]Zili Zhang, Chengqi Zhang:
An Application of Fuzzy Cluster analysis to Matchmaking in Middle Agents. FSKD 2002: 566-570 - [c33]Chengqi Zhang
Database clustering for mining multi-databases. FUZZ-IEEE 2002: 974-979 - [c32]Xindong Wu, Chengqi Zhang, Shichao Zhang:
Mining Both Positive and Negative Association Rules. ICML 2002: 658-665 - [c31]Xiaowei Yan, Chengqi Zhang, Shichao Zhang, John K. Debenham:
Association Rule Mining by Agents. ICMLA 2002: 77-83 - [c30]Chengqi Zhang, Xiaowei Yan, Shichao Zhang, Paul Kennedy:
Mining Very Large Databases Using Software Agents. ICMLA 2002: 84-90 - [c29]Zili Zhang, Chengqi Zhang
An Agent-Based Hybrid Intelligent System for Financial Investment Planning. PRICAI 2002: 355-364 - 2001
- [j16]Xudong Luo
Information sharing between heterogeneous uncertain reasoning models in a multi-agent environment: a case study. Int. J. Approx. Reason. 27(1): 27-59 (2001) - [j15]Shichao Zhang, Chengqi Zhang:
A model for compressing probabilities in belief networks. Informatica (Slovenia) 25(3) (2001) - [c28]Chengqi Zhang
Collecting Quality Data for Database Mining. Australian Joint Conference on Artificial Intelligence 2001: 593-604 - [c27]Shichao Zhang, Chengqi Zhang
Pattern Discovery in Probabilistic Databases. Australian Joint Conference on Artificial Intelligence 2001: 619-630 - [c26]Zili Zhang, Chengqi Zhang
Reasoning with Multimedia Information Using Symbolic Projection. Australian Joint Conference on Artificial Intelligence 2001: 643-654 - [c25]Chengqi Zhang, Zili Zhang:
Approaches to implementing decision aggregation in multi-agent systems. CATA 2001: 314-317 - [c24]Chengqi Zhang, Zili Zhang:
Post-processing of multimedia information - concents, problems, and techniques. CATA 2001: 318-321 - [c23]Kaile Su
A Logical Framework for Knowledge Sharing in Multi-agent Systems. COCOON 2001: 561-570 - [c22]Shichao Zhang, Chengqi Zhang
Mining Small Databases by Collecting Knowledge. DASFAA 2001: 154-155 - [c21]Shichao Zhang, Chengqi Zhang
Estimating Itemsets of Interst by Sampling. FUZZ-IEEE 2001: 131-134 - 2000
- [j14]Yuefeng Li, Chengqi Zhang
An information filtering model on the Web and its application in JobAgent. Knowl. Based Syst. 13(5): 285-296 (2000) - [c20]Zili Zhang, Chengqi Zhang, Bin Li:
Mobile Agents for Admitting New Students to Institutions of China. IS 2000: 52-56 - [c19]Zili Zhang, Chengqi Zhang
Result Fusion in Multi-Agent Systems Based on OWA Operator. ACSC 2000: 234-240 - [c18]Xiaofeng Wang, Han Kiliççöte, Pradeep K. Khosla, Chengqi Zhang
Agent-Based Risk Learning for Computing Systems. ICMAS 2000: 459-460 - [c17]Zili Zhang, Chengqi Zhang
Building an Ontology for Financial Investment. IDEAL 2000: 308-313 - [c16]Yuefeng Li, Chengqi Zhang
Perceiving Environments for Intelligent Agents. PRICAI 2000: 297-307 - [c15]Chengqi Zhang
An Agent-Based Soft Computing Society. Rough Sets and Current Trends in Computing 2000: 661-668 - [e6]Chengqi Zhang, Von-Wun Soo:
Design and Applications of Intelligent Agents, Third Pacific Rim International Workshop on Multi-Agents, PRIMA 2000, Melbourne, Australia, August 28-29, 2000, Proceedings. Lecture Notes in Computer Science 1881, Springer 2000, ISBN 3-540-67911-1 [contents]
1990 – 1999
- 1999
- [j13]Chengqi Zhang
Introduction to the Special Issue on Learning in Intelligent Algorithms and Systems Design. J. Adv. Comput. Intell. Intell. Informatics 3(6): 439-440 (1999) - [j12]Chengqi Zhang
Isomorphic transformations of uncertainties for incorporating EMYCIN-style and PROSPECTOR-style systems into a distributed expert system. J. Comput. Sci. Technol. 14(4): 386-392 (1999) - [j11]Shichao Zhang, Chengqi Zhang
IMC: A Method for Interval Calculus in Matrix. Knowl. Inf. Syst. 1(2): 257-268 (1999) - [j10]Xudong Luo, Chengqi Zhang
An Axiom Foundation for Uncertain Reasonings in Rule-Based Expert Systems: NT-Algebra. Knowl. Inf. Syst. 1(4): 415-433 (1999) - [j9]Xudong Luo, Chengqi Zhang
Proof of the Correctness of EMYCIN Sequential Propagation Under Conditional Independence Assumptions. IEEE Trans. Knowl. Data Eng. 11(2): 355-359 (1999) - [j8]Minjie Zhang
Potential Cases, Methodologies, and Strategies of Synthesis of Solutions in Distributed Expert Systems. IEEE Trans. Knowl. Data Eng. 11(3): 498-503 (1999) - [c14]Zili Zhang, Chengqi Zhang
A Serving Agent for Integrating Soft Computing and Software Agents. Australian Joint Conference on Artificial Intelligence 1999: 476-477 - [c13]Yuefeng Li, Chengqi Zhang
Information-Based Cooperation in Multiple Agent Systems. Australian Joint Conference on Artificial Intelligence 1999: 496-498 - [c12]Xudong Luo
A Class of Isomorphic Transformations for Integrating EMYCIN-Style and PROSPECTOR-Style Systems into a Rule-Based Multi-Agent System. PRIMA 1999: 211-225 - [e5]Hideyuki Nakashima, Chengqi Zhang:
Approaches to Intelligent Agents, Second Pacific Rim International Workshop on Multi-Agents, PRIMA '99, Kyoto, Japan, December 2-3, 1999, Proceedings. Lecture Notes in Computer Science 1733, Springer 1999, ISBN 3-540-66823-3 [contents] - 1998
- [j7]Xudong Luo
LSLNCF: A Hybrid Uncertain Reasoning Model Based on Probability. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 6(4): 401-422 (1998) - [c11]Yue Xu, Chengqi Zhang
An efficient and practical diagnosis model. ICTAI 1998: 367-374 - [c10]Yue Xu, Chengqi Zhang
A Neural Network Diagnosis Model without Disorder Independence Assumption. PRICAI 1998: 341-352 - [e4]Wayne Wobcke, Maurice Pagnucco, Chengqi Zhang:
Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications, Based on the AI'97 Workshops on Commonsense Reasoning, Intelligent Agents, and Distributed Artificial Intelligence, Perth, Australia, December 1, 1997. Lecture Notes in Computer Science 1441, Springer 1998, ISBN 3-540-64769-4 [contents] - [e3]Chengqi Zhang, Dickson Lukose:
Multi-Agent Systems: Theories, Languages, and Applications, 4th Australian Workshop on Distributed Artificial Intelligence, Brisbane, Queensland, Australia, July 13, 1998, Selected Papers. Lecture Notes in Computer Science 1544, Springer 1998, ISBN 3-540-65477-1 [contents] - 1997
- [j6]Xudong Luo, Chengqi Zhang, Jingqiu Cai:
The Weighting Issue in Fuzzy Logic. Informatica (Slovenia) 21(2) (1997) - [c9]Chengqi Zhang
An Algorithm for Plan Verification in Multiple Agent Systems. Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications 1997: 149-163 - [c8]Chengqi Zhang
Transformation between the EMYCIN Model and the Bayesian Network. Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications 1997: 205-220 - [e2]Chengqi Zhang
Multi-Agent Systems: Methodologies and Applications, Second Australian Workshop on Distributed Artificial Intelligence, Cairns, Queensland, Australia, August 27, 1996, Revised Papers. Lecture Notes in Computer Science 1286, Springer 1997, ISBN 3-540-63412-6 [contents] - 1996
- [c7]Minjie Zhang
Methodologies of Solution Synthesis in Distributed Expert Systems. DAI 1996: 137-151 - [c6]Hongxia Yang, Chengqi Zhang
Application of MAS in Implementing Rational IP Routers on the Priced Internet. DAI 1996: 166-180 - [c5]Yue Xu, Chengqi Zhang
An Improved Critical Diagnosis Reasoning Method. ICTAI 1996: 170-173 - [c4]Xudong Luo
A Unified Algebraic Structure for Uncertain Reasoning. PRICAI 1996: 459-470 - [e1]Chengqi Zhang, Dickson Lukose:
Distributed Artificial Intelligence: Architecture and Modelling, First Australian Workshop on DAI, Canberra, ACT, Australia, November 13, 1995, Proceedings. Lecture Notes in Computer Science 1087, Springer 1996, ISBN 3-540-61314-5 [contents] - 1995
- [j5]Chengqi Zhang
The design and implementation of a knowledge-based communication system in a framework for distributed expert systems. IEEE Trans. Commun. 43(5): 1926-1936 (1995) - [c3]Hongxia Yang, Chengqi Zhang
Definition and Application of a Comprehensive Framework for Distributed Problem Solving. DAI 1995: 1-15 - [c2]Minjie Zhang, Chengqi Zhang
Neural Network Strategies for Solving Synthesis Problems in Non-conflilct Cases in Distributed Expert Systems. DAI 1995: 174-188 - [c1]Minjie Zhang, Chengqi Zhang:
The Consensus of Uncertainties in Distributed Expert Systems. ICMAS 1995: 468 - 1994
- [j4]Chengqi Zhang
Heterogeneous Transformation of Uncertainties of Propositions Among Inexact Reasoning Models. IEEE Trans. Knowl. Data Eng. 6(3): 353-360 (1994) - 1992
- [j3]Chengqi Zhang
Cooperation Under Uncertainty in Distributed Expert Systems. Artif. Intell. 56(1): 21-69 (1992) - 1991
- [j2]Chengqi Zhang
HECODES: A Framework for Heterogeneous Cooperative Distributed Expert Systems. Data Knowl. Eng. 6: 251-273 (1991) - 1990
- [b1]Chengqi Zhang:
Hecodes: a framework for heterogenous cooperative distributed expert systems. University of Queensland, Australia, 1990 - [j1]David A. Bell, Chengqi Zhang
Description and treatment of deadlocks in the Hecodes distributed expert system. IEEE Trans. Syst. Man Cybern. 20(3): 654-664 (1990)
Coauthor Index
[j141] [e13] [j79] [j76] [c134] [c132] [j72] [c125] [c124] [c123] [j70] [j65] [c122] [c121] [c119] [c118] [c117] [j64] [j60] [j59] [c114] [c113] [c112] [c111] [c109] [c108] [c107] [j55] [j54] [j53] [j51] [c104] [c103] [c102] [c101] [c100] [c98] [c97] [e10] [j48] [j47] [c94] [c90] [c86] [c83] [c80] [c78] [c75] [c73] [c72] [c69] [c66] [c65] [c59] [c57] [c56] [c54] [c49] [c44] [c41] [c39]
[c239] [c238] [j146] [j140] [c234] [c230] [j137] [j135] [c227] [c224] [i39] [i38] [c223] [c221] [c219] [i32] [c215] [c209] [i25] [j117] [j115] [c200] [c197] [i7] [j103] [c193] [c190] [i6] [c188] [c181] [c175] [c174] [c173] [j90] [c172] [c171] [c170] [c166] [c164] [j84] [c154] [c151] [c150] [c148] [c143] [c129]
[c242] [c241] [i59] [i56] [i54] [i52] [i51] [i50] [i49] [j143] [j142] [c237] [c233] [c231] [c229] [i45] [i44] [i42] [i41] [j136] [j134] [c228] [c225] [i40] [i37] [c220] [i36] [i35] [i33] [j127] [c217] [c216] [c214] [c213] [c212] [c211] [c210] [c208] [p5] [i31] [i30] [i29] [i28] [i27] [i26] [i24] [j120] [c207] [c206] [c205] [c204] [c203] [i21] [i18] [i17] [i16] [i15] [c202] [c199] [c198] [c196] [c195] [i13] [i12] [i10] [i9] [i5] [c177]
[c242] [c241] [i59] [i56] [i54] [i52] [i51] [i50] [i49] [i47] [j143] [j142] [c237] [c236] [c233] [c232] [c231] [c229] [i46] [i45] [i44] [i43] [i42] [i41] [j139] [j136] [j134] [c228] [c226] [c225] [i40] [i37] [j131] [c220] [i36] [i35] [i34] [i33] [j130] [j127] [c217] [c216] [c214] [c213] [c212] [c211] [c210] [c208] [p5] [i31] [i30] [i29] [i28] [i27] [i26] [i24] [j121] [j120] [c207] [c206] [c205] [c204] [c203] [i22] [i21] [i18] [i17] [i16] [i15] [j111] [c202] [c199] [c198] [c196] [c195] [i13] [i12] [i10] [i9] [j110] [j109] [j106] [i5] [j97] [j95] [c189] [c186] [c182] [c177] [c176] [i3] [j93] [c169] [c143]
[i57] [i55] [i53] [j143] [j139] [j131] [i35] [j127] [j124] [c210] [i31] [j120] [j118] [c207] [c205] [i22] [i21] [i17] [i16] [j116] [j114] [j113] [c202] [c200] [c198] [c195] [i12] [j109] [j106] [j105] [i5] [j101] [j100] [j98] [c185] [c179] [c177] [j94] [j93] [j92] [c168] [c163] [c161] [c160] [c159] [c157] [c153]
[c149] [j83] [j82] [j78] [j74] [c128] [j71] [j69] [j68] [j67] [b5] [j62] [j61] [j58] [j57] [j52] [c106] [c105] [c99] [c96] [c95] [c93] [c92] [c91] [c89] [c88] [c87] [c82] [c81] [c77] [j46] [j43] [j41] [j40] [c74] [c70] [c68] [c67] [c63] [p1] [b3] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [c61] [c60] [c58] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [c52] [c46] [c45] [c42] [c40] [b2] [j21] [j20] [j18] [j17] [c36] [c35] [c33] [c32] [c31] [c30] [j15] [c28] [c27] [c23] [c22] [c21] [j11]
[j132] [j128] [j125] [j123] [j118] [i20] [i19] [j115] [j114] [j113] [c201] [c194] [i14] [i11] [i8] [j109] [j106] [j105] [j104] [j103] [c193] [c191] [j101] [j100] [j98] [c187] [c185] [c184] [c183] [c179] [c177] [i2] [j94] [j93] [j92] [j91] [j89] [c168] [j88] [j87] [j86] [c163] [c162] [c161] [c160] [c159] [c158] [c157] [j84] [c153] [c152] [c147] [c146] [c143] [c141] [j80] [j77] [c139] [c137] [c133] [c131] [c120] [j63] [c110]
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Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-17 21:52 CET by the dblp team
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