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Jiawei Zhang 0001
Person information
- affiliation: University of California, Davis, Department of Computer Science, IFM Lab, CA, USA
- affiliation (former): Florida State University, Department of Computer Science, Tallahassee, FL, USA
- affiliation (former, PhD 2017): University of Illinois at Chicago, USA
Other persons with the same name
- Jiawei Zhang (aka: Jia-Wei Zhang, Jia Wei Zhang) — disambiguation page
- Jiawei Zhang 0002
— SenseTime Research, Shenzhen, China (and 1 more)
- Jiawei Zhang 0003 — Purdue University, West Lafayette, IN, USA
- Jiawei Zhang 0004
- Jiawei Zhang 0006
- Jiawei Zhang 0007 — Chinese University of Hong Kong, School of Science and Engineering, Shenzhen, China (and 1 more)
- Jiawei Zhang 0008 — East China Jiaotong University, China
- Jia-Wei Zhang 0009 (aka: Jiawei Zhang 0009) — Guangxi University, School of Business Administration, Nanning, China
- Jia-Wei Zhang 0010 (aka: Jiawei Zhang 0010) — Northeast Forestry University, Electromechanical Engineering Academy, Harbin, China
- Jiawei Zhang 0011
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2020 – today
- 2024
- [j22]Li Sun
Contrastive sequential interaction network learning on co-evolving Riemannian spaces. Int. J. Mach. Learn. Cybern. 15(4): 1397-1413 (2024) - [j21]Zhiwei Yang
Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(1): 973-984 (2024) - [c104]Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han:
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. ACL (Findings) 2024: 163-184 - [c103]Xi Chen
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. CIKM 2024: 301-311 - [c102]Yingying Wang
DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning. CIKM 2024: 2431-2441 - [c101]Kaiyu Xiong
GetCom: An Efficient and Generalizable Framework for Community Detection. CIKM 2024: 2650-2659 - [c100]Xixi Wu
ProCom: A Few-shot Targeted Community Detection Algorithm. KDD 2024: 3414-3424 - [c99]Siwei Zhang
Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling. KDD 2024: 4290-4301 - [i79]Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu:
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces. CoRR abs/2401.01243 (2024) - [i78]Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu:
Cyclic Neural Network. CoRR abs/2402.03332 (2024) - [i77]Xi Chen, Siwei Zhang, Yun Xiong, Xixi Wu, Jiawei Zhang, Xiangguo Sun, Yao Zhang, Feng Zhao, Yulin Kang:
Prompt Learning on Temporal Interaction Graphs. CoRR abs/2402.06326 (2024) - [i76]Yingying Wang, Yun Xiong, Xixi Wu, Xiangguo Sun, Jiawei Zhang:
DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning. CoRR abs/2402.11472 (2024) - [i75]Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Suhang Wang
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. CoRR abs/2404.07103 (2024) - [i74]Haopeng Zhang, Philip S. Yu, Jiawei Zhang:
A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models. CoRR abs/2406.11289 (2024) - [i73]Siwei Zhang, Xi Chen, Yun Xiong, Xixi Wu, Yao Zhang, Yongrui Fu, Yinglong Zhao, Jiawei Zhang:
Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling. CoRR abs/2406.11891 (2024) - [i72]Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang:
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. CoRR abs/2407.18523 (2024) - [i71]Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, Jiawei Zhang:
ProCom: A Few-shot Targeted Community Detection Algorithm. CoRR abs/2408.07369 (2024) - 2023
- [j20]Yi Xie, Yun Xiong, Jiawei Zhang, Chao Chen, Yao Zhang, Jie Zhao
Temporal super-resolution traffic flow forecasting via continuous-time network dynamics. Knowl. Inf. Syst. 65(11): 4687-4712 (2023) - [j19]Yongheng Wang, Weidi Zhang, Hoyin Yip, Chuyuan Qu, Hongru Hu
SIC50: Determining drug inhibitory concentrations using a vision transformer and an optimized Sobel operator. Patterns 4(2): 100686 (2023) - [j18]Zhongbao Zhang
When Behavior Analysis Meets Social Network Alignment. IEEE Trans. Knowl. Data Eng. 35(7): 7590-7607 (2023) - [c98]Haopeng Zhang, Xiao Liu, Jiawei Zhang:
DiffuSum: Generation Enhanced Extractive Summarization with Diffusion. ACL (Findings) 2023: 13089-13100 - [c97]Xixi Wu
Dual Intents Graph Modeling for User-centric Group Discovery. CIKM 2023: 2716-2725 - [c96]Siwei Zhang
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation. CIKM 2023: 3216-3225 - [c95]Lin Meng
Generative Graph Augmentation for Minority Class in Fraud Detection. CIKM 2023: 4200-4204 - [c94]Lin Meng, Xiaonan Zhang, Jiawei Zhang, Philip S. Yu:
Location-Adaptive Generative Graph Augmentation for Fraud Detection. CogMI 2023: 24-30 - [c93]Beichen Kang, Xiaosu Wang, Yun Xiong, Yao Zhang, Chaofan Zhou, Yangyong Zhu, Jiawei Zhang, Chunlei Tang:
Automatic ICD Coding Based on Segmented ClinicalBERT with Hierarchical Tree Structure Learning. DASFAA (4) 2023: 250-265 - [c92]Lin Meng, Yuxiang Ren, Jiawei Zhang:
Decoupling Graph Neural Network with Contrastive Learning for Fraud Detection. DASFAA (4) 2023: 397-414 - [c91]Haopeng Zhang, Xiao Liu, Jiawei Zhang:
Extractive Summarization via ChatGPT for Faithful Summary Generation. EMNLP (Findings) 2023: 3270-3278 - [c90]Ziwei Fan
Graph Collaborative Signals Denoising and Augmentation for Recommendation. SIGIR 2023: 2037-2041 - [c89]Xixi Wu
ConsRec: Learning Consensus Behind Interactions for Group Recommendation. WWW 2023: 240-250 - [i70]Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu:
ConsRec: Learning Consensus Behind Interactions for Group Recommendation. CoRR abs/2302.03555 (2023) - [i69]Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, Jiawei Zhang:
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System. CoRR abs/2303.14524 (2023) - [i68]Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu:
Graph Collaborative Signals Denoising and Augmentation for Recommendation. CoRR abs/2304.03344 (2023) - [i67]Haopeng Zhang, Xiao Liu, Jiawei Zhang:
Extractive Summarization via ChatGPT for Faithful Summary Generation. CoRR abs/2304.04193 (2023) - [i66]Haopeng Zhang, Xiao Liu, Jiawei Zhang:
DiffuSum: Generation Enhanced Extractive Summarization with Diffusion. CoRR abs/2305.01735 (2023) - [i65]Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang:
Dual Intents Graph Modeling for User-centric Group Discovery. CoRR abs/2308.05013 (2023) - [i64]Xi Chen, Yongxiang Liao, Yun Xiong, Yao Zhang, Siwei Zhang, Jiawei Zhang, Yiheng Sun:
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding. CoRR abs/2308.14129 (2023) - [i63]Siwei Zhang, Yun Xiong, Yao Zhang, Xixi Wu, Yiheng Sun, Jiawei Zhang:
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation. CoRR abs/2309.02012 (2023) - 2022
- [j17]Jiyang Bai
Adaptive momentum with discriminative weight for neural network stochastic optimization. Int. J. Intell. Syst. 37(9): 6531-6554 (2022) - [j16]Jiyang Bai
Measuring and sampling: A metric-guided subgraph learning framework for graph neural network. Int. J. Intell. Syst. 37(10): 7502-7525 (2022) - [j15]Yizhu Jiao
Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs. Knowl. Inf. Syst. 64(1): 235-260 (2022) - [c88]Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu:
A Self-Supervised Mixed-Curvature Graph Neural Network. AAAI 2022: 4146-4155 - [c87]Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu, Philip S. Yu:
Few-Shot Radiology Report Generation via Knowledge Transfer and Multi-modal Alignment. BIBM 2022: 1574-1579 - [c86]Haopeng Zhang, Xiao Liu, Jiawei Zhang:
HEGEL: Hypergraph Transformer for Long Document Summarization. EMNLP 2022: 10167-10176 - [c85]Lin Meng, Haoran Yang
Stage Evolving Graph Neural Network based Dynamic Recommendation with Life Cycles. IJCNN 2022: 1-8 - [c84]Zhiwei Liu, Lin Meng, Fei Jiang, Jiawei Zhang, Philip S. Yu:
Deoscillated Adaptive Graph Collaborative Filtering. TAG-ML 2022: 248-257 - [i62]Jiawei Zhang:
Iso-CapsNet: Isomorphic Capsule Network for Brain Graph Representation Learning. CoRR abs/2206.13465 (2022) - [i61]Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Yang Du, Sen Su, Philip S. Yu:
PERFECT: A Hyperbolic Embedding for Joint User and Community Alignment. CoRR abs/2209.02908 (2022) - [i60]Haopeng Zhang, Xiao Liu, Jiawei Zhang:
HEGEL: Hypergraph Transformer for Long Document Summarization. CoRR abs/2210.04126 (2022) - 2021
- [j14]Liqun Yang, Jiawei Zhang, Xiaozhe Wang, Zhi Li, Zhoujun Li
An improved ELM-based and data preprocessing integrated approach for phishing detection considering comprehensive features. Expert Syst. Appl. 165: 113863 (2021) - [j13]Yuxiang Ren
ActiveIter: Meta Diagram Based Active Learning in Social Networks Alignment. IEEE Trans. Knowl. Data Eng. 33(5): 1848-1860 (2021) - [c83]Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu:
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs. AAAI 2021: 4375-4383 - [c82]Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Suzanne V. Blackley, Yangyong Zhu, Chunlei Tang:
Radiology Report Generation for Rare Diseases via Few-shot Transformer. BIBM 2021: 1347-1352 - [c81]Ziwei Fan
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CIKM 2021: 433-442 - [c80]Yuxiang Ren, Jiyang Bai, Jiawei Zhang:
Label Contrastive Coding Based Graph Neural Network for Graph Classification. DASFAA (1) 2021: 123-140 - [c79]Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo:
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. ICDE 2021: 2039-2044 - [c78]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
Ripple Walk Training: A Subgraph-based Training Framework for Large and Deep Graph Neural Network. IJCNN 2021: 1-8 - [c77]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization. IJCNN 2021: 1-8 - [c76]Yuxiang Ren, Jiawei Zhang:
Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention. IJCNN 2021: 1-8 - [c75]Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu:
Graph Representation Learning: Foundations, Methods, Applications and Systems. KDD 2021: 4044-4045 - [c74]Chuan Shi, Yuan Fang
The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021). KDD 2021: 4157-4158 - [c73]Qingqin Wang, Yun Xiong, Yao Zhang, Jiawei Zhang, Yangyong Zhu:
AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation. WSDM 2021: 788-796 - [i59]Yuxiang Ren, Jiyang Bai, Jiawei Zhang:
Label Contrastive Coding based Graph Neural Network for Graph Classification. CoRR abs/2101.05486 (2021) - [i58]Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang:
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. CoRR abs/2101.11206 (2021) - [i57]Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs. CoRR abs/2104.02228 (2021) - [i56]Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu:
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CoRR abs/2108.06625 (2021) - [i55]Yuxiang Ren, Jiawei Zhang:
Collaborative Graph Contrastive Learning: Data Augmentation Composition May Not be Necessary for Graph Representation Learning. CoRR abs/2111.03262 (2021) - [i54]Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu:
A Self-supervised Mixed-curvature Graph Neural Network. CoRR abs/2112.05393 (2021) - [i53]He Huang, Wei Tang, Jiawei Zhang, Philip S. Yu:
Translational Concept Embedding for Generalized Compositional Zero-shot Learning. CoRR abs/2112.10871 (2021) - [i52]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network. CoRR abs/2112.15015 (2021) - 2020
- [j12]Senzhang Wang
Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems. IEEE Trans. Knowl. Data Eng. 32(12): 2374-2388 (2020) - [c72]Yu Li
Learning Signed Network Embedding via Graph Attention. AAAI 2020: 4772-4779 - [c71]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization. ASONAM 2020: 37-41 - [c70]Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu:
Few-shot Radiology Report Generation for Rare Diseases. BIBM 2020: 601-608 - [c69]Tianqi Zhang, Yun Xiong, Jiawei Zhang, Yao Zhang, Yizhu Jiao, Yangyong Zhu:
CommDGI: Community Detection Oriented Deep Graph Infomax. CIKM 2020: 1843-1852 - [c68]Congying Xia, Chenwei Zhang, Jiawei Zhang, Tingting Liang, Hao Peng
Low-shot Learning in Natural Language Processing. CogMI 2020: 185-189 - [c67]Lin Meng, Ning Yan, Masood S. Mortazavi, Jiawei Zhang:
Discovering Localized Information for Heterogeneous Graph Node Representation Learning. CIC 2020: 88-96 - [c66]Haopeng Zhang, Jiawei Zhang:
Text Graph Transformer for Document Classification. EMNLP (1) 2020: 8322-8327 - [c65]Yuxiang Ren, Lin Meng, Jiawei Zhang:
Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition. HT 2020: 261-270 - [c64]Jiawei Zhang, Bowen Dong, Philip S. Yu:
FakeDetector: Effective Fake News Detection with Deep Diffusive Neural Network. ICDE 2020: 1826-1829 - [c63]Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu:
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. ICDM 2020: 222-231 - [c62]Yuxiang Ren, Bo Wang
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. ICDM 2020: 452-461 - [c61]Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Yang Du, Sen Su, Philip S. Yu:
Perfect: A Hyperbolic Embedding for Joint User and Community Alignment. ICDM 2020: 501-510 - [c60]Fuxin Ren, Zhongbao Zhang, Jiawei Zhang, Sen Su, Li Sun, Guozhen Zhu, Congying Guo:
BANANA: when Behavior ANAlysis meets social Network Alignment. IJCAI 2020: 1438-1444 - [c59]Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma
Attention-based Multi-level Feature Fusion for Named Entity Recognition. IJCAI 2020: 3594-3600 - [i51]Jiawei Zhang, Haopeng Zhang, Congying Xia, Li Sun:
Graph-Bert: Only Attention is Needed for Learning Graph Representations. CoRR abs/2001.05140 (2020) - [i50]Jiawei Zhang:
Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification. CoRR abs/2001.07922 (2020) - [i49]Jiawei Zhang:
Segmented Graph-Bert for Graph Instance Modeling. CoRR abs/2002.03283 (2020) - [i48]Jiawei Zhang:
Graph Neural Distance Metric Learning with Graph-Bert. CoRR abs/2002.03427 (2020) - [i47]Yuxiang Ren, Jiawei Zhang:
HGAT: Hierarchical Graph Attention Network for Fake News Detection. CoRR abs/2002.04397 (2020) - [i46]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network. CoRR abs/2002.07206 (2020) - [i45]Congying Xia, Chenwei Zhang, Hoang Nguyen, Jiawei Zhang, Philip S. Yu:
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection. CoRR abs/2004.01881 (2020) - [i44]Jiawei Zhang:
G5: A Universal GRAPH-BERT for Graph-to-Graph Transfer and Apocalypse Learning. CoRR abs/2006.06183 (2020) - [i43]Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu:
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. CoRR abs/2009.10273 (2020) - [i42]Zhiwei Liu, Lin Meng, Jiawei Zhang, Philip S. Yu:
Deoscillated Graph Collaborative Filtering. CoRR abs/2011.02100 (2020)
2010 – 2019
- 2019
- [b1]Jiawei Zhang, Philip S. Yu:
Broad Learning Through Fusions - An Application on Social Networks. Springer 2019, ISBN 978-3-030-12527-1, pp. 1-419 - [j11]Xiao Pan
Approximate Similarity Measurements on Multi-Attributes Trajectories Data. IEEE Access 7: 10905-10915 (2019) - [j10]Limeng Cui, Jiawei Zhang, Lifang He, Philip S. Yu:
Multi-view collective tensor decomposition for cross-modal hashing. Int. J. Multim. Inf. Retr. 8(1): 47-59 (2019) - [j9]Qianyi Zhan, Jiawei Zhang, Philip S. Yu:
Integrated anchor and social link predictions across multiple social networks. Knowl. Inf. Syst. 60(1): 303-326 (2019) - [c58]Zhiwei Liu
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. IEEE BigData 2019: 850-859 - [c57]Lin Meng, Jiyang Bai, Jiawei Zhang:
LATTE: Application Oriented Social Network Embedding. IEEE BigData 2019: 1169-1174 - [c56]Jiawei Zhang, Bowen Dong, Philip S. Yu:
Deep Diffusive Neural Network based Fake News Detection from Heterogeneous Social Networks. IEEE BigData 2019: 1259-1266 - [c55]Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu:
Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention. CIKM 2019: 419-428 - [c54]Chuan Shi, Yanfang Ye, Jiawei Zhang:
HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications. CIKM 2019: 2991-2992 - [c53]Lin Meng, Yuxiang Ren, Jiawei Zhang, Fanghua Ye
Deep Heterogeneous Social Network Alignment. CogMI 2019: 43-52 - [c52]Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang:
Meta Diagram Based Active Social Networks Alignment. ICDE 2019: 1690-1693 - [c51]Yu Li
Learning Network Embedding with Community Structural Information. IJCAI 2019: 2937-2943 - [c50]Bowen Dong, Jiawei Zhang, Chenwei Zhang, Yang Yang, Philip S. Yu:
Missing Entity Synergistic Completion across Multiple Isomeric Online Knowledge Libraries. IJCNN 2019: 1-8 - [c49]Lei Zheng, Ziwei Fan
Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation. SIGIR 2019: 1077-1080 - [c48]Lei Zheng, Chaozhuo Li, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu:
Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation. SIGIR 2019: 1081-1084 - [i41]Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang:
Meta Diagram based Active Social Networks Alignment. CoRR abs/1902.04220 (2019) - [i40]Jiawei Zhang:
Gradient Descent based Optimization Algorithms for Deep Learning Models Training. CoRR abs/1903.03614 (2019) - [i39]Jiawei Zhang, Chenwei Zhang, Bowen Dong, Yang Yang, Philip S. Yu:
Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries. CoRR abs/1905.06365 (2019) - [i38]Lin Meng, Jiawei Zhang:
IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification. CoRR abs/1907.09495 (2019) - [i37]Yixin Chen, Lin Meng, Jiawei Zhang:
Graph Neural Lasso for Dynamic Network Regression. CoRR abs/1907.11114 (2019) - [i36]Jiyang Bai, Jiawei Zhang:
DEAM: Accumulated Momentum with Discriminative Weight for Stochastic Optimization. CoRR abs/1907.11307 (2019) - [i35]Jiyang Bai, Jiawei Zhang:
BGADAM: Boosting based Genetic-Evolutionary ADAM for Convolutional Neural Network Optimization. CoRR abs/1908.08015 (2019) - [i34]Jiawei Zhang, Lin Meng:
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation. CoRR abs/1909.05729 (2019) - [i33]Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu:
Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention. CoRR abs/1910.05736 (2019) - [i32]Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, Philip S. Yu:
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. CoRR abs/1910.08219 (2019) - [i31]Yuxiang Ren, Bo Liu, Chao Huang, Peng Dai, Liefeng Bo, Jiawei Zhang:
Heterogeneous Deep Graph Infomax. CoRR abs/1911.08538 (2019) - [i30]Yuxiang Ren, Lin Meng, Jiawei Zhang:
Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition. CoRR abs/1912.08372 (2019) - [i29]Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo:
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. CoRR abs/1912.11113 (2019) - 2018
- [j8]Taisong Li
Deep Dynamic Network Embedding for Link Prediction. IEEE Access 6: 29219-29230 (2018) - [j7]Jiawei Zhang, Philip S. Yu:
Broad Learning: : An Emerging Area in Social Network Analysis. SIGKDD Explor. 20(1): 24-50 (2018) - [j6]Weiwei Shi
Effective Prediction of Missing Data on Apache Spark over Multivariable Time Series. IEEE Trans. Big Data 4(4): 473-486 (2018) - [j5]Pengyang Wang, Yanjie Fu
Learning Urban Community Structures: A Collective Embedding Perspective with Periodic Spatial-temporal Mobility Graphs. ACM Trans. Intell. Syst. Technol. 9(6): 63:1-63:28 (2018) - [c47]Ye Liu, Jiawei Zhang, Chenwei Zhang, Philip S. Yu:
Data-driven Blockbuster Planning on Online Movie Knowledge Library. IEEE BigData 2018: 1612-1617 - [c46]Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang:
A Self-Organizing Tensor Architecture for Multi-view Clustering. ICDM 2018: 1007-1012 - [c45]Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu:
Multi-View Fusion Through Cross-Modal Retrieval. ICIP 2018: 1977-1981 - [c44]Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang
You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis. KDD 2018: 2457-2466 - [c43]Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu:
Multi-view Collective Tensor Decomposition for Cross-modal Hashing. ICMR 2018: 73-81 - [c42]Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu:
Spectral collaborative filtering. RecSys 2018: 311-319 - [c41]Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Yanjie Fu, Sajal K. Das:
Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction. SDM 2018: 171-179 - [c40]Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, Charu C. Aggarwal:
Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs. SDM 2018: 351-359 - [r1]Jiawei Zhang, Philip S. Yu:
Cross-Platform Social Network Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i28]Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
SEGEN: Sample-Ensemble Genetic Evolutional Network Model. CoRR abs/1803.08631 (2018) - [i27]Jiawei Zhang:
Social Network Fusion and Mining: A Survey. CoRR abs/1804.09874 (2018) - [i26]Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
GADAM: Genetic-Evolutionary ADAM for Deep Neural Network Optimization. CoRR abs/1805.07500 (2018) - [i25]Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
On Deep Ensemble Learning from a Function Approximation Perspective. CoRR abs/1805.07502 (2018) - [i24]Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
Deep Loopy Neural Network Model for Graph Structured Data Representation Learning. CoRR abs/1805.07504 (2018) - [i23]Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
Reconciled Polynomial Machine: A Unified Representation of Shallow and Deep Learning Models. CoRR abs/1805.07507 (2018) - [i22]Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
GEN Model: An Alternative Approach to Deep Neural Network Models. CoRR abs/1805.07508 (2018) - [i21]Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
EgoCoder: Intelligent Program Synthesis with Hierarchical Sequential Neural Network Model. CoRR abs/1805.08747 (2018) - [i20]Jiawei Zhang, Limeng Cui, Yanjie Fu, Fisher B. Gouza:
Fake News Detection with Deep Diffusive Network Model. CoRR abs/1805.08751 (2018) - [i19]Yang Yang, Xia Hu, Haoyan Liu, Jiawei Zhang, Zhoujun Li, Philip S. Yu:
Understanding and Monitoring Human Trafficking via Social Sensors: A Sociological Approach. CoRR abs/1805.10617 (2018) - [i18]Yang Yang, Xia Hu, Haoyan Liu, Jiawei Zhang, Zhoujun Li, Philip S. Yu:
r-instance Learning for Missing People Tweets Identification. CoRR abs/1805.10856 (2018) - [i17]Yang Yang, Lei Zheng, Jiawei Zhang, Qingcai Cui, Zhoujun Li, Philip S. Yu:
TI-CNN: Convolutional Neural Networks for Fake News Detection. CoRR abs/1806.00749 (2018) - [i16]Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu:
Spectral Collaborative Filtering. CoRR abs/1808.10523 (2018) - [i15]Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang:
A Self-Organizing Tensor Architecture for Multi-View Clustering. CoRR abs/1810.07874 (2018) - [i14]Ye Liu, Jiawei Zhang, Chenwei Zhang, Philip S. Yu:
Data-driven Blockbuster Planning on Online Movie Knowledge Library. CoRR abs/1810.10175 (2018) - 2017
- [j4]Junxing Zhu
CHRS: Cold Start Recommendation Across Multiple Heterogeneous Information Networks. IEEE Access 5: 15283-15299 (2017) - [j3]Junxing Zhu
Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks. Sensors 17(8): 1786 (2017) - [j2]Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu:
A Survey of Heterogeneous Information Network Analysis. IEEE Trans. Knowl. Data Eng. 29(1): 17-37 (2017) - [j1]Qianyi Zhan
Community detection for emerging social networks. World Wide Web 20(6): 1409-1441 (2017) - [c39]Jiawei Zhang, Philip S. Yu, Charu C. Aggarwal, Limeng Cui:
Real Time Social Attitude Expression Prediction. BigData Congress 2017: 472-479 - [c38]Limeng Cui, Jiawei Zhang, Zhensong Chen, Yong Shi, Philip S. Yu:
Inverse extreme learning machine for learning with label proportions. IEEE BigData 2017: 576-585 - [c37]Lichao Sun
Contaminant removal for Android malware detection systems. IEEE BigData 2017: 1053-1062 - [c36]Jiawei Zhang, Limeng Cui, Philip S. Yu, Yuanhua Lv:
BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion. CIKM 2017: 859-868 - [c35]Junxing Zhu
Broad Learning based Multi-Source Collaborative Recommendation. CIKM 2017: 1409-1418 - [c34]Jiawei Zhang, Charu C. Aggarwal, Philip S. Yu:
Rumor Initiator Detection in Infected Signed Networks. ICDCS 2017: 1900-1909 - [c33]Jiawei Zhang, Philip S. Yu, Yuanhua Lv:
Enterprise Community Detection. ICDE 2017: 219-222 - [c32]Jiawei Zhang, Jianhui Chen, Shi Zhi, Yi Chang
Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation. ICDE 2017: 971-982 - [c31]Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu:
BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder. ICDM 2017: 605-614 - [c30]Jiawei Zhang, Philip S. Yu, Yuanhua Lv:
Enterprise Employee Training via Project Team Formation. WSDM 2017: 3-12 - [c29]Jiawei Zhang, Jianhui Chen, Junxing Zhu
Link Prediction with Cardinality Constraint. WSDM 2017: 121-130 - [i13]Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He
Contaminant Removal for Android Malware Detection Systems. CoRR abs/1711.02715 (2017) - [i12]Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu:
BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder. CoRR abs/1711.09409 (2017) - [i11]Jiawei Zhang, Limeng Cui, Philip S. Yu, Yuanhua Lv:
BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion. CoRR abs/1711.09411 (2017) - [i10]Jiawei Zhang, Limeng Cui, Yanjie Fu:
LATTE: Application Oriented Network Embedding. CoRR abs/1711.11466 (2017) - 2016
- [c28]Jiawei Zhang, Senzhang Wang, Qianyi Zhan, Philip S. Yu:
Intertwined viral marketing in social networks. ASONAM 2016: 239-246 - [c27]Jiawei Zhang, Xiangnan Kong, Philip S. Yu:
Social badge system analysis. ASONAM 2016: 453-460 - [c26]Qianyi Zhan, Jiawei Zhang, Philip S. Yu, Sherry Emery, Junyuan Xie:
Inferring Social Influence of anti-Tobacco mass media campaigns. BIBM 2016: 805-812 - [c25]Xiao Pan, Jiawei Zhang, Fengjiao Wang, Philip S. Yu:
DistSD: Distance-based social discovery with personalized posterior screening. IEEE BigData 2016: 1110-1119 - [c24]Jiawei Zhang, Philip S. Yu, Yuanhua Lv, Qianyi Zhan:
Information Diffusion at Workplace. CIKM 2016: 1673-1682 - [c23]Jiawei Zhang, Philip S. Yu:
Trip Route Planning for Bicycle-Sharing Systems. CIC 2016: 381-390 - [c22]Jiawei Zhang, Xiao Pan, Moyin Li, Philip S. Yu:
Bicycle-sharing systems expansion: station re-deployment through crowd planning. SIGSPATIAL/GIS 2016: 2:1-2:10 - [c21]Weixiang Shao, Jiawei Zhang, Lifang He
Multi-source Multi-view Clustering via discrepancy penalty. IJCNN 2016: 2714-2721 - [c20]Qianyi Zhan, Jiawei Zhang, Philip S. Yu, Sherry Emery, Junyuan Xie:
Discover Tipping Users for Cross Network Influencing (Invited Paper). IRI 2016: 67-76 - [c19]Jiawei Zhang, Xiao Pan, Moyin Li, Philip S. Yu:
Bicycle-Sharing System Analysis and Trip Prediction. MDM 2016: 174-179 - [c18]Guixiang Ma, Lifang He
Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks. ECML/PKDD (1) 2016: 476-492 - [c17]Jiawei Zhang, Qianyi Zhan, Lifang He
Trust Hole Identification in Signed Networks. ECML/PKDD (1) 2016: 697-713 - [c16]Qingbo Hu, Sihong Xie, Jiawei Zhang, Qiang Zhu, Songtao Guo, Philip S. Yu:
HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer. WWW 2016: 41-50 - [c15]Jiawei Zhang, Philip S. Yu:
PCT: Partial Co-Alignment of Social Networks. WWW 2016: 749-759 - [p1]Jiawei Zhang, Qianyi Zhan, Philip S. Yu:
Concurrent Alignment of Multiple Anonymized Social Networks with Generic Stable Matching. Theoretical Information Reuse and Integration 2016: 173-196 - [i9]Jiawei Zhang, Xiao Pan, Moyin Li, Philip S. Yu:
Bicycle-Sharing System Analysis and Trip Prediction. CoRR abs/1604.00664 (2016) - [i8]Weixiang Shao, Jiawei Zhang, Lifang He
Multi-Source Multi-View Clustering via Discrepancy Penalty. CoRR abs/1604.04029 (2016) - [i7]Jiawei Zhang, Xiangnan Kong, Philip S. Yu:
Badge System Analysis and Design. CoRR abs/1607.00537 (2016) - [i6]Jiawei Zhang, Senzhang Wang, Qianyi Zhan, Philip S. Yu:
Intertwined Viral Marketing through Online Social Networks. CoRR abs/1607.00542 (2016) - 2015
- [c14]Philip S. Yu, Jiawei Zhang:
MCD: Mutual Clustering across Multiple Social Networks. BigData Congress 2015: 762-771 - [c13]Jiawei Zhang, Yuanhua Lv, Philip S. Yu:
Enterprise Social Link Recommendation. CIKM 2015: 841-850 - [c12]Senzhang Wang, Honghui Zhang, Jiawei Zhang, Xiaoming Zhang, Philip S. Yu, Zhoujun Li:
Inferring Diffusion Networks with Sparse Cascades by Structure Transfer. DASFAA (1) 2015: 405-421 - [c11]Jiawei Zhang, Philip S. Yu:
Multiple Anonymized Social Networks Alignment. ICDM 2015: 599-608 - [c10]Jiawei Zhang, Philip S. Yu:
Integrated Anchor and Social Link Predictions across Social Networks. IJCAI 2015: 2125-2132 - [c9]Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S. Yu:
PNA: Partial Network Alignment with Generic Stable Matching. IRI 2015: 166-173 - [c8]Jiawei Zhang, Philip S. Yu, Yuanhua Lv:
Organizational Chart Inference. KDD 2015: 1435-1444 - [c7]Qianyi Zhan, Jiawei Zhang, Senzhang Wang, Philip S. Yu, Junyuan Xie:
Influence Maximization Across Partially Aligned Heterogenous Social Networks. PAKDD (1) 2015: 58-69 - [c6]Jiawei Zhang, Philip S. Yu:
Community Detection for Emerging Networks. SDM 2015: 127-135 - [i5]Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S. Yu:
Partial Network Alignment with Anchor Meta Path and Truncated Generic Stable Matching. CoRR abs/1506.05164 (2015) - [i4]Jiawei Zhang, Philip S. Yu:
Mutual Community Detection across Multiple Partially Aligned Social Networks. CoRR abs/1506.05529 (2015) - [i3]Jiawei Zhang, Philip S. Yu, Yuanhua Lv:
Organizational Chart Inference. CoRR abs/1507.06841 (2015) - [i2]Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu:
A Survey of Heterogeneous Information Network Analysis. CoRR abs/1511.04854 (2015) - 2014
- [c5]Songchang Jin, Jiawei Zhang, Philip S. Yu, Shuqiang Yang, Aiping Li:
Synergistic partitioning in multiple large scale social networks. IEEE BigData 2014: 281-290 - [c4]Jiawei Zhang, Philip S. Yu, Zhi-Hua Zhou:
Meta-path based multi-network collective link prediction. KDD 2014: 1286-1295 - [c3]Jiawei Zhang, Xiangnan Kong, Philip S. Yu:
Transferring heterogeneous links across location-based social networks. WSDM 2014: 303-312 - 2013
- [c2]Xiangnan Kong, Jiawei Zhang, Philip S. Yu:
Inferring anchor links across multiple heterogeneous social networks. CIKM 2013: 179-188 - [c1]Jiawei Zhang, Xiangnan Kong, Philip S. Yu:
Predicting Social Links for New Users across Aligned Heterogeneous Social Networks. ICDM 2013: 1289-1294 - [i1]Jiawei Zhang, Xiangnan Kong, Philip S. Yu:
Predicting Social Links for New Users across Aligned Heterogeneous Social Networks. CoRR abs/1310.3492 (2013)
Coauthor Index
[j22] [i79] [i78] [i74] [c94] [c90] [c89] [i70] [i68] [c88] [c87] [c84] [i61] [c83] [c81] [c75] [i57] [i56] [i54] [i53] [j12] [c68] [c64] [c61] [i45] [i42] [b1] [j10] [j9] [c58] [c56] [c53] [c50] [c49] [c48] [i39] [i32] [j8] [j7] [j6] [c47] [c46] [c45] [c43] [c42] [r1] [i19] [i18] [i17] [i16] [i15] [i14] [j4] [j3] [j2] [j1] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [i13] [i12] [i11] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [p1] [i9] [i8] [i7] [i6] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [i5] [i4] [i3] [i2] [c5] [c4] [c3] [c2] [c1] [i1]
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