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Liang Chen 0001
陈亮
Person information
- unicode name: 陈亮
- affiliation: Sun Yat-Sen University, School of Data and Computer Science, Guangzhou, China
- affiliation (former): RMIT University, Melbourne, Australia
- affiliation (PhD 2015): Zhejiang University, College of Computer Science amp; Technology, CCNT, China
- not to be confused with: Liang Chen 0002
Other persons with the same name
- Liang Chen — disambiguation page
- Liang Chen 0002
— Sun Yat-sen University, School of Communication and Design, Guangzhou, China (and 2 more)
- Liang Chen 0003 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Liang Chen 0004
- Liang Chen 0005
- Liang Chen 0006
- Liang Chen 0007
- Liang Chen 0009
- Liang Chen 0010 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Liang Chen 0011 — Chongqing College of Electronic Engineering, Electronic Technician Institute, China
- Liang Chen 0012
- Liang Chen 0013 — Jiangsu Electric Power Company Research Institute, Nanjing, China
- Liang Chen 0014 — Karlsruhe Institute of Technology, Germany
- Liang Chen 0015
- Liang Chen 0016
- Liang Chen 0017
- Liang Chen 0018
- Liang Chen 0019 — Ohio State Uinversity, Department of Computer Science and Engineering, Columbus, OH, USA
- Liang Chen 0020
- Liang Chen 0021
- Liang Chen 0022
- Liang Chen 0023
- Liang Chen 0024 — Peking University, National Key Laboratory for Multimedia Information Processing, China
- Liang Chen 0025
- Liang Chen 0026
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2020 – today
- 2024
- [j41]Fenfang Xie, Angyu Zheng, Liang Chen, Zibin Zheng, Mingdong Tang:
Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks. Connect. Sci. 36(1) (2024) - [j40]Fenfang Xie
A Review-Level Sentiment Information Enhanced Multitask Learning Approach for Explainable Recommendation. IEEE Trans. Comput. Soc. Syst. 11(5): 5925-5934 (2024) - [j39]Yuchang Zhu
FairAGG: Toward Fair Graph Neural Networks via Fair Aggregation. IEEE Trans. Comput. Soc. Syst. 11(5): 6308-6319 (2024) - [c103]Liang Chen, Yatao Bian, Yang Deng, Deng Cai, Shuaiyi Li, Peilin Zhao, Kam-Fai Wong:
WatME: Towards Lossless Watermarking Through Lexical Redundancy. ACL (1) 2024: 9166-9180 - [c102]Yuanzhen Xie, Xinzhou Jin, Tao Xie, Matrixmxlin Matrixmxlin, Liang Chen, Chenyun Yu, Cheng Lei, Chengxiang Zhuo, Bo Hu, Zang Li:
Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm. ACL (Findings) 2024: 10796-10816 - [c101]Shuaiyi Li, Yang Deng, Deng Cai, Hongyuan Lu, Liang Chen, Wai Lam:
Consecutive Batch Model Editing with HooK Layers. EMNLP 2024: 13817-13833 - [c100]Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen:
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. ICLR 2024 - [c99]Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li:
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform. ICML 2024 - [c98]Yunfei Liu
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. KDD 2024: 1968-1979 - [c97]Yuchang Zhu
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes. KDD 2024: 4688-4699 - [c96]Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong:
SELF-GUARD: Empower the LLM to Safeguard Itself. NAACL-HLT 2024: 1648-1668 - [c95]Wangbin Sun
Rethinking and Simplifying Bootstrapped Graph Latents. WSDM 2024: 665-673 - [c94]Yuchang Zhu
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation. WSDM 2024: 1012-1021 - [c93]Yuchang Zhu
Fair Graph Representation Learning via Sensitive Attribute Disentanglement. WWW 2024: 1182-1192 - [i54]Yuanzhen Xie, Xinzhou Jin, Tao Xie, Mingxiong Lin, Liang Chen, Chenyun Yu, Lei Cheng, Chengxiang Zhuo, Bo Hu, Zang Li:
Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm. CoRR abs/2402.10671 (2024) - [i53]Shuaiyi Li, Yang Deng
Consecutive Model Editing with Batch alongside HooK Layers. CoRR abs/2403.05330 (2024) - [i52]Huizhe Zhang, Jintang Li, Liang Chen, Zibin Zheng:
SGHormer: An Energy-Saving Graph Transformer Driven by Spikes. CoRR abs/2403.17656 (2024) - [i51]Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform. CoRR abs/2405.03003 (2024) - [i50]Yuchang Zhu, Jintang Li, Zibin Zheng, Liang Chen:
Fair Graph Representation Learning via Sensitive Attribute Disentanglement. CoRR abs/2405.07011 (2024) - [i49]Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng:
State Space Models on Temporal Graphs: A First-Principles Study. CoRR abs/2406.00943 (2024) - [i48]Yuchang Zhu, Jintang Li, Yatao Bian
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes. CoRR abs/2406.13544 (2024) - [i47]Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen:
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. CoRR abs/2406.14288 (2024) - [i46]Xinzhou Jin, Jintang Li, Liang Chen, Chenyun Yu, Yuanzhen Xie, Tao Xie, Chengxiang Zhuo, Zang Li, Zibin Zheng:
L2CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering. CoRR abs/2407.14266 (2024) - [i45]Jintang Li, Ruofan Wu, Yuchang Zhu, Huizhe Zhang, Xinzhou Jin, Guibin Zhang, Zulun Zhu, Zibin Zheng, Liang Chen:
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective. CoRR abs/2410.10241 (2024) - 2023
- [j38]Peilin Zheng
Selecting reliable blockchain peers via hybrid blockchain reliability prediction. IET Softw. 17(4): 362-377 (2023) - [j37]Jintang Li
Adversarial Attack on Large Scale Graph. IEEE Trans. Knowl. Data Eng. 35(1): 82-95 (2023) - [j36]Jintang Li
Spectral Adversarial Training for Robust Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35(9): 9240-9253 (2023) - [j35]Tingting Liang
Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network. IEEE Trans. Knowl. Data Eng. 35(9): 9407-9420 (2023) - [c92]Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng:
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. AAAI 2023: 8588-8596 - [c91]Liang Chen, Hongru Wang, Yang Deng, Wai-Chung Kwan, Zezhong Wang, Kam-Fai Wong:
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization. ACL (Findings) 2023: 7337-7345 - [c90]Qichao Wang
Attention Paper: How Generative AI Reshapes Digital Shadow Industry? ACM TUR-C 2023: 143-144 - [c89]Jintang Li
GUARD: Graph Universal Adversarial Defense. CIKM 2023: 1198-1207 - [c88]Jie Liao
SAILOR: Structural Augmentation Based Tail Node Representation Learning. CIKM 2023: 1389-1399 - [c87]Ruoting Wu
Improving Code Representation Learning via Multi-view Contrastive Graph Pooling for Abstract Syntax Tree. CollaborateCom (2) 2023: 242-261 - [c86]Yuxin Zhang
Structural Adversarial Attack for Code Representation Models. CollaborateCom (2) 2023: 392-413 - [c85]Liang Chen, Yang Deng
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. EMNLP 2023: 6325-6341 - [c84]Haotian Wang, Zhen Zhang, Mengting Hu, Qichao Wang, Liang Chen, Yatao Bian, Bingzhe Wu:
RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data. EMNLP (Findings) 2023: 7246-7257 - [c83]Yang Deng, Lizi Liao
Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration. EMNLP (Findings) 2023: 10602-10621 - [c82]Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang:
Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. ICDE 2023: 1597-1610 - [c81]Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang:
Modelling High-Order Social Relations for Item Recommendation (Extended Abstract). ICDE 2023: 3821-3822 - [c80]Xinzhou Jin, Jintang Li, Yuanzhen Xie, Liang Chen, Beibei Kong, Lei Cheng, Bo Hu, Zang Li, Zibin Zheng:
Enhancing Graph Collaborative Filtering via Neighborhood Structure Embedding. ICDM 2023: 190-199 - [c79]Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen:
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. IJCAI 2023: 2306-2314 - [c78]Jintang Li
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders. KDD 2023: 1268-1279 - [c77]Wei Yuan
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. SIGIR 2023: 1690-1699 - [i44]Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin:
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. CoRR abs/2304.03054 (2023) - [i43]Jintang Li, Sheng Tian, Ruofan Wu, Liang Zhu, Wenlong Zhao, Changhua Meng, Liang Chen, Zibin Zheng, Hongzhi Yin:
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs. CoRR abs/2305.10673 (2023) - [i42]Liang Chen, Hongru Wang, Yang Deng, Wai-Chung Kwan, Zezhong Wang, Kam-Fai Wong:
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization. CoRR abs/2305.12782 (2023) - [i41]Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen:
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. CoRR abs/2305.13573 (2023) - [i40]Qichao Wang, Huan Ma, Wentao Wei, Hangyu Li, Liang Chen, Peilin Zhao, Binwen Zhao, Bo Hu, Shu Zhang, Zibin Zheng, Bingzhe Wu:
Attention Paper: How Generative AI Reshapes Digital Shadow Industry? CoRR abs/2305.18346 (2023) - [i39]Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Liang Chen, Zibin Zheng, Baokun Wang, Changhua Meng:
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. CoRR abs/2305.19306 (2023) - [i38]Jintang Li, Wangbin Sun, Ruofan Wu, Yuchang Zhu, Liang Chen, Zibin Zheng:
Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning. CoRR abs/2306.02117 (2023) - [i37]Jie Liao, Jintang Li, Liang Chen, Bingzhe Wu
SAILOR: Structural Augmentation Based Tail Node Representation Learning. CoRR abs/2308.06801 (2023) - [i36]Yachuan Liu, Liang Chen, Jindong Wang, Qiaozhu Mei, Xing Xie:
Meta Semantic Template for Evaluation of Large Language Models. CoRR abs/2310.01448 (2023) - [i35]Liang Chen, Yang Deng
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. CoRR abs/2310.07289 (2023) - [i34]Jintang Li, Zheng Wei, Jiawang Dan, Jing Zhou, Yuchang Zhu, Ruofan Wu, Baokun Wang, Zhang Zhen, Changhua Meng, Hong Jin, Zibin Zheng, Liang Chen:
Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs. CoRR abs/2310.11664 (2023) - [i33]Qichao Wang, Tian Bian, Yian Yin, Tingyang Xu
Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale. CoRR abs/2310.11778 (2023) - [i32]Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong:
Self-Guard: Empower the LLM to Safeguard Itself. CoRR abs/2310.15851 (2023) - [i31]Liang Chen, Yatao Bian
X-Mark: Towards Lossless Watermarking Through Lexical Redundancy. CoRR abs/2311.09832 (2023) - [i30]Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng:
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning. CoRR abs/2311.16605 (2023) - [i29]Hongru Wang, Lingzhi Wang, Yiming Du, Liang Chen, Jingyan Zhou, Yufei Wang, Kam-Fai Wong:
A Survey of the Evolution of Language Model-Based Dialogue Systems. CoRR abs/2311.16789 (2023) - [i28]Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng:
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation. CoRR abs/2311.17373 (2023) - [i27]Wangbin Sun, Jintang Li, Liang Chen, Bingzhe Wu
Rethinking and Simplifying Bootstrapped Graph Latents. CoRR abs/2312.02619 (2023) - 2022
- [j34]Fenfang Xie, Yangjun Xu, Angyu Zheng, Liang Chen, Zibin Zheng:
Service recommendation through graph attention network in heterogeneous information networks. Int. J. Comput. Sci. Eng. 25(6): 643-656 (2022) - [j33]Liang Chen, Tao Xie, Jintang Li, Zibin Zheng:
Graph Enhanced Neural Interaction Model for recommendation. Knowl. Based Syst. 246: 108616 (2022) - [j32]Zhouxin Yu
Unifying multi-associations through hypergraph for bundle recommendation. Knowl. Based Syst. 255: 109755 (2022) - [j31]Yang Liu
Modelling High-Order Social Relations for Item Recommendation. IEEE Trans. Knowl. Data Eng. 34(9): 4385-4397 (2022) - [j30]Minghao Zhao
Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks. ACM Trans. Inf. Syst. 40(2): 31:1-31:24 (2022) - [c76]Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu
Spiking Graph Convolutional Networks. IJCAI 2022: 2434-2440 - [c75]Bingzhe Wu
Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. KDD 2022: 4838-4839 - [i26]Liang Chen, Qibiao Peng, Jintang Li, Yang Liu, Jiawei Chen, Yong Li, Zibin Zheng:
Neighboring Backdoor Attacks on Graph Convolutional Network. CoRR abs/2201.06202 (2022) - [i25]Bingzhe Wu, Jintang Li, Chengbin Hou, Guoji Fu, Yatao Bian, Liang Chen, Junzhou Huang:
Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift. CoRR abs/2202.07114 (2022) - [i24]Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Changhua Meng, Zibin Zheng, Weiqiang Wang:
GUARD: Graph Universal Adversarial Defense. CoRR abs/2204.09803 (2022) - [i23]Yuansheng Wang, Wangbin Sun, Kun Xu, Zulun Zhu, Liang Chen, Zibin Zheng:
FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation. CoRR abs/2205.00905 (2022) - [i22]Ruoting Wu, Yuxin Zhang, Qibiao Peng, Liang Chen, Zibin Zheng:
A Survey of Deep Learning Models for Structural Code Understanding. CoRR abs/2205.01293 (2022) - [i21]Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu
Spiking Graph Convolutional Networks. CoRR abs/2205.02767 (2022) - [i20]Bingzhe Wu
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR abs/2205.10014 (2022) - [i19]Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang:
MaskGAE: Masked Graph Modeling Meets Graph Autoencoders. CoRR abs/2205.10053 (2022) - [i18]Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. CoRR abs/2208.10364 (2022) - [i17]Zishan Gu, Jintang Li, Liang Chen:
Are All Edges Necessary? A Unified Framework for Graph Purification. CoRR abs/2211.05184 (2022) - [i16]Jintang Li, Jiaying Peng, Liang Chen, Zibin Zheng, Tingting Liang, Qing Ling:
Spectral Adversarial Training for Robust Graph Neural Network. CoRR abs/2211.10896 (2022) - 2021
- [j29]Tingting Liang, Xuan Sheng, Li Zhou, Youhuizi Li, Honghao Gao, Yuyu Yin
Mobile app recommendation via heterogeneous graph neural network in edge computing. Appl. Soft Comput. 103: 107162 (2021) - [j28]Liang Chen, Yangjun Xu
Data poisoning attacks on neighborhood-based recommender systems. Trans. Emerg. Telecommun. Technol. 32(6) (2021) - [j27]Fenfang Xie, Angyu Zheng, Liang Chen, Zibin Zheng
Attentive Meta-graph Embedding for item Recommendation in heterogeneous information networks. Knowl. Based Syst. 211: 106524 (2021) - [j26]Liang Chen, Jiaying Peng, Yang Liu
Phishing Scams Detection in Ethereum Transaction Network. ACM Trans. Internet Techn. 21(1): 10:1-10:16 (2021) - [c74]Kai Wang, Zhene Zou, Qilin Deng, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui:
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation. AAAI 2021: 4427-4435 - [c73]Kun Xu, Yuanzhen Xie, Liang Chen, Zibin Zheng
Expanding Relationship for Cross Domain Recommendation. CIKM 2021: 2251-2260 - [c72]Tao Xie, Yangjun Xu, Liang Chen, Yang Liu, Zibin Zheng
Sequential Recommendation on Dynamic Heterogeneous Information Network. ICDE 2021: 2105-2110 - [c71]Jintang Li, Kun Xu, Liang Chen, Zibin Zheng
GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software. ICSE (Companion Volume) 2021: 13-16 - [c70]Liang Chen, Jintang Li, Qibiao Peng, Yang Liu
Understanding Structural Vulnerability in Graph Convolutional Networks. IJCAI 2021: 2249-2255 - [c69]Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun
Secure Deep Graph Generation with Link Differential Privacy. IJCAI 2021: 3271-3278 - [c68]Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang:
AutoDebias: Learning to Debias for Recommendation. SIGIR 2021: 21-30 - [c67]Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie:
Self-supervised Graph Learning for Recommendation. SIGIR 2021: 726-735 - [c66]Yuanzhen Xie, Zijing Ou, Liang Chen, Yang Liu, Kun Xu, Carl Yang, Zibin Zheng
Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network. WSDM 2021: 184-192 - [c65]Yu Zheng
DGCN: Diversified Recommendation with Graph Convolutional Networks. WWW 2021: 401-412 - [i15]Jintang Li, Kun Xu, Liang Chen, Zibin Zheng, Xiao Liu:
GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software. CoRR abs/2102.07933 (2021) - [i14]Kai Wang, Zhene Zou, Qilin Deng, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui:
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation. CoRR abs/2104.02981 (2021) - [i13]Qilin Deng, Kai Wang, Minghao Zhao, Zhene Zou, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen:
Personalized Bundle Recommendation in Online Games. CoRR abs/2104.05307 (2021) - [i12]Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang:
AutoDebias: Learning to Debias for Recommendation. CoRR abs/2105.04170 (2021) - [i11]Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang:
Understanding Structural Vulnerability in Graph Convolutional Networks. CoRR abs/2108.06280 (2021) - [i10]Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li:
DGCN: Diversified Recommendation with Graph Convolutional Networks. CoRR abs/2108.06952 (2021) - 2020
- [j25]Liang Chen, Yuanzhen Xie
Friend Recommendation Based on Multi-Social Graph Convolutional Network. IEEE Access 8: 43618-43629 (2020) - [j24]Huakun Huang
Real-Time Fault Detection for IIoT Facilities Using GBRBM-Based DNN. IEEE Internet Things J. 7(7): 5713-5722 (2020) - [j23]Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Haochao Ying, Philip S. Yu, Jian Wu:
CAMAR: a broad learning based context-aware recommender for mobile applications. Knowl. Inf. Syst. 62(8): 3291-3319 (2020) - [j22]Tingting Liang, Lei Zheng, Liang Chen, Yao Wan, Philip S. Yu, Jian Wu:
Multi-view factorization machines for mobile app recommendation based on hierarchical attention. Knowl. Based Syst. 187 (2020) - [j21]Bin Wu
ATM: An Attentive Translation Model for Next-Item Recommendation. IEEE Trans. Ind. Informatics 16(3): 1448-1459 (2020) - [j20]Liang Chen, Yongjian Ye, Angyu Zheng, Fenfang Xie, Zibin Zheng
Incorporating geographical location for team formation in social coding sites. World Wide Web 23(1): 153-174 (2020) - [c64]Fenfang Xie, Zengxu Cao, Yangjun Xu, Liang Chen, Zibin Zheng
Graph Neural Network and Multi-view Learning Based Mobile Application Recommendation in Heterogeneous Graphs. SCC 2020: 100-107 - [c63]Qilin Deng, Kai Wang, Minghao Zhao, Zhene Zou, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen:
Personalized Bundle Recommendation in Online Games. CIKM 2020: 2381-2388 - [c62]Kai Wang, Hao Li, Linxia Gong, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui:
Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation. CIKM 2020: 2781-2788 - [c61]Runze Wu, Hao Deng, Jianrong Tao, Changjie Fan, Qi Liu, Liang Chen:
Deep Behavior Tracing with Multi-level Temporality Preserved Embedding. CIKM 2020: 2813-2820 - [c60]Jieming Zhu, Jinyang Liu
Ensembled CTR Prediction via Knowledge Distillation. CIKM 2020: 2941-2958 - [c59]Angyu Zheng, Liang Chen, Fenfang Xie, Jianrong Tao, Changjie Fan, Zibin Zheng
Keep You from Leaving: Churn Prediction in Online Games. DASFAA (2) 2020: 263-279 - [c58]Yangjun Xu, Liang Chen, Fenfang Xie, Weibo Hu, Jieming Zhu, Chuan Chen, Zibin Zheng
Directional Adversarial Training for Recommender Systems. ECAI 2020: 553-560 - [c57]Yang Liu, Jiaying Peng, Liang Chen, Zibin Zheng
Abstract Interpretation Based Robustness Certification for Graph Convolutional Networks. ECAI 2020: 1309-1315 - [c56]Jintang Li, Zishan Gu, Qibiao Peng, Kun Xu, Liang Chen, Zibin Zheng
Deep Insights into Graph Adversarial Learning: An Empirical Study Perspective. HBAI@IJCAI 2020: 87-101 - [c55]Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua:
Interactive Path Reasoning on Graph for Conversational Recommendation. KDD 2020: 2073-2083 - [c54]Yang Liu
Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines. SIGIR 2020: 419-428 - [i9]Liang Chen, Jintang Li, Jiaying Peng, Tao Xie, Zengxu Cao, Kun Xu, Xiangnan He, Zibin Zheng:
A Survey of Adversarial Learning on Graphs. CoRR abs/2003.05730 (2020) - [i8]Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang:
Modelling High-Order Social Relations for Item Recommendation. CoRR abs/2003.10149 (2020) - [i7]Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua:
Interactive Path Reasoning on Graph for Conversational Recommendation. CoRR abs/2007.00194 (2020) - [i6]Jintang Li, Tao Xie, Liang Chen, Fenfang Xie, Xiangnan He, Zibin Zheng:
Adversarial Attack on Large Scale Graph. CoRR abs/2009.03488 (2020) - [i5]Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie:
Self-supervised Graph Learning for Recommendation. CoRR abs/2010.10783 (2020) - [i4]Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng:
Ensembled CTR Prediction via Knowledge Distillation. CoRR abs/2011.04106 (2020)
2010 – 2019
- 2019
- [j19]Fenfang Xie
Personalized Service Recommendation With Mashup Group Preference in Heterogeneous Information Network. IEEE Access 7: 16155-16167 (2019) - [j18]Yinglan Feng
AC-Net: Assessing the Consistency of Description and Permission in Android Apps. IEEE Access 7: 57829-57842 (2019) - [j17]Liang Chen
Predicting Quality of Service via Leveraging Location Information. Complex. 2019: 4932030:1-4932030:16 (2019) - [j16]Tingting Liang
SMS: A Framework for Service Discovery by Incorporating Social Media Information. IEEE Trans. Serv. Comput. 12(3): 384-397 (2019) - [c53]Xiongnan Jin, Byungkook Oh, Sanghak Lee, Dongho Lee, Kyong-Ho Lee, Liang Chen:
Learning Region Similarity over Spatial Knowledge Graphs with Hierarchical Types and Semantic Relations. CIKM 2019: 669-678 - [c52]Fenfang Xie, Shenghui Li
Generative Adversarial Network Based Service Recommendation in Heterogeneous Information Networks. ICWS 2019: 265-272 - [c51]Liang Chen, Yang Liu
Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network. IJCAI 2019: 2095-2101 - [i3]Peilin Zheng, Zibin Zheng, Liang Chen:
Selecting Reliable Blockchain Peers via Hybrid Blockchain Reliability Prediction. CoRR abs/1910.14614 (2019) - [i2]Liang Chen, Yangjun Xu, Fenfang Xie, Min Huang, Zibin Zheng:
Data Poisoning Attacks on Neighborhood-based Recommender Systems. CoRR abs/1912.04109 (2019) - 2018
- [j15]Yao Wan, Guandong Xu
Exploiting cross-source knowledge for warming up community question answering services. Neurocomputing 320: 25-34 (2018) - [j14]Hongzhi Yin
Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system. Knowl. Based Syst. 157: 68-80 (2018) - [j13]Yao Wan, Liang Chen, Guandong Xu, Zhou Zhao, Jie Tang, Jian Wu:
SCSMiner: mining social coding sites for software developer recommendation with relevance propagation. World Wide Web 21(6): 1523-1543 (2018) - [c50]Liang Chen, Yang Liu
Heterogeneous Neural Attentive Factorization Machine for Rating Prediction. CIKM 2018: 833-842 - [c49]Shaoan Xie, Zibin Zheng, Liang Chen, Chuan Chen:
Learning Semantic Representations for Unsupervised Domain Adaptation. ICML 2018: 5419-5428 - [c48]Fenfang Xie, Liang Chen, Dongding Lin, Chuan Chen, Zibin Zheng
Group preference based API recommendation via heterogeneous information network. ICSE (Companion Volume) 2018: 362-363 - [c47]Liang Chen, Angyu Zheng, Yinglan Feng, Fenfang Xie, Zibin Zheng
Software Service Recommendation Base on Collaborative Filtering Neural Network Model. ICSOC 2018: 388-403 - [c46]Fenfang Xie, Liang Chen, Yongjian Ye, Yang Liu, Zibin Zheng
A Weighted Meta-graph Based Approach for Mobile Application Recommendation on Heterogeneous Information Networks. ICSOC 2018: 404-420 - [c45]Lu Chen, Yuyu Yin
Two-Phase Web Service QoS Prediction with Restricted Boltzmann Machine. ICSOC 2018: 592-600 - [c44]Fenfang Xie, Liang Chen, Yongjian Ye, Zibin Zheng
Factorization Machine Based Service Recommendation on Heterogeneous Information Networks. ICWS 2018: 115-122 - 2017
- [j12]Athman Bouguettaya
A service computing manifesto: the next 10 years. Commun. ACM 60(4): 64-72 (2017) - [j11]Li Kuang, Gaofeng Cao, Liang Chen:
Extracting Core Users Based on Features of Users and Their Relationships in Recommender Systems. Int. J. Web Serv. Res. 14(2): 1-23 (2017) - [c43]Hongzhi Yin
Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation. ICDE 2017: 75-78 - [c42]Tingting Liang, Lifang He
A Broad Learning Approach for Context-Aware Mobile Application Recommendation. ICDM 2017: 955-960 - [c41]Yaoming Wu, Fenfang Xie, Liang Chen, Chuan Chen, Zibin Zheng
An Embedding Based Factorization Machine Approach for Web Service QoS Prediction. ICSOC 2017: 272-286 - [c40]Tingting Liang, Liang Chen, Xingde Ying, Philip S. Yu, Jian Wu, Zibin Zheng
Mobile Application Rating Prediction via Feature-Oriented Matrix Factorization. ICWS 2017: 261-268 - [c39]Yuqiang Han, Yao Wan, Liang Chen, Guandong Xu, Jian Wu:
Exploiting Geographical Location for Team Formation in Social Coding Sites. PAKDD (1) 2017: 499-510 - [i1]Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Philip S. Yu, Jian Wu:
A Broad Learning Approach for Context-Aware Mobile Application Recommendation. CoRR abs/1709.03621 (2017) - 2016
- [j10]Zhaohui Wu, Jianwei Yin, ShuiGuang Deng
Modern Service Industry and Crossover Services: Development and Trends in China. IEEE Trans. Serv. Comput. 9(5): 664-671 (2016) - [c38]Haochao Ying, Liang Chen, Tingting Liang, Jian Wu:
EARec: leveraging expertise and authority for pull-request reviewer recommendation in GitHub. CSI-SE@ICSE 2016: 29-35 - [c37]Tingting Liang, Liang Chen, Jian Wu, Hai Dong
Meta-Path Based Service Recommendation in Heterogeneous Information Networks. ICSOC 2016: 371-386 - [c36]Bing Huang, Athman Bouguettaya
Service Mining for Internet of Things. ICSOC 2016: 566-574 - [c35]Wei Gao, Liang Chen, Jian Wu, Hai Dong
Personalized API Recommendation via Implicit Preference Modeling. ICSOC 2016: 646-653 - [c34]Wei Gao, Liang Chen, Jian Wu, Athman Bouguettaya
Joint Modeling Users, Services, Mashups, and Topics for Service Recommendation. ICWS 2016: 260-267 - [c33]Tingting Liang, Liang Chen, Jian Wu, Athman Bouguettaya
Exploiting Heterogeneous Information for Tag Recommendation in API Management. ICWS 2016: 436-443 - [c32]Yao Wan, Liang Chen, Qi Yu, Tingting Liang, Jian Wu:
Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization. PAKDD (1) 2016: 436-448 - [c31]Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu:
Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback. PAKDD (2) 2016: 555-567 - [c30]Liang Chen, Haochao Ying, Qibo Qiu, Jian Wu, Hai Dong
Temporal Pattern Based QoS Prediction. WISE (2) 2016: 223-237 - [c29]Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu:
PGRank: Personalized Geographical Ranking for Point-of-Interest Recommendation. WWW (Companion Volume) 2016: 137-138 - 2015
- [j9]Jian Wu, Liang Chen, Qi Yu
Trust-aware media recommendation in heterogeneous social networks. World Wide Web 18(1): 139-157 (2015) - [c28]Tingting Liang, Liang Chen, Haochao Ying, Zibin Zheng
Crowdsourcing Based API Search via Leveraging Twitter Lists Information. ICDM Workshops 2015: 1540-1547 - [c27]Tingting Liang, Liang Chen, Zhining Xie, Wei Yang, Jian Wu:
CASE: A Platform for Crowdsourcing Based API Search. ICSOC 2015: 482-485 - [c26]Liang Chen, Qi Yu, Philip S. Yu, Jian Wu:
WS-HFS: A Heterogeneous Feature Selection Framework for Web Services Mining. ICWS 2015: 193-200 - [c25]Qi Yu
Learning Sparse Functional Factors for Large-Scale Service Clustering. ICWS 2015: 201-208 - [c24]Yao Wan, Liang Chen, Jian Wu, Qi Yu
Time-Aware API Popularity Prediction via Heterogeneous Features. ICWS 2015: 424-431 - [c23]Wei Gao, Liang Chen, Jian Wu, Honghao Gao:
Manifold-Learning Based API Recommendation for Mashup Creation. ICWS 2015: 432-439 - 2014
- [j8]Jian Wu, Liang Chen, Yanan Xie, Lichuan Ji, Zhaohui Wu:
Modelling and exploring historical records to facilitate service composition. Int. J. Web Grid Serv. 10(1): 54-79 (2014) - [j7]Mingdong Tang, Zibin Zheng
A Trust-Aware Search Engine for Complex Service Computing. Int. J. Web Serv. Res. 11(1): 57-75 (2014) - [j6]Jian Wu, Liang Chen, Zibin Zheng
Clustering Web services to facilitate service discovery. Knowl. Inf. Syst. 38(1): 207-229 (2014) - [j5]Liang Chen, Jian Wu, Zibin Zheng
Modeling and exploiting tag relevance for Web service mining. Knowl. Inf. Syst. 39(1): 153-173 (2014) - [j4]Liang Chen, Jian Wu, Hengyi Jian, Hongbo Deng, Zhaohui Wu:
Instant Recommendation for Web Services Composition. IEEE Trans. Serv. Comput. 7(4): 586-598 (2014) - [c22]Jalal Mahmud, Jeffrey Nichols, Michelle X. Zhou, James Caverlee, Yi Zeng
DUBMOD14 - International Workshop on Data-driven User Behavioral Modeling and Mining from Social Media. CIKM 2014: 2092-2093 - [c21]Liang Chen, Yilun Wang, Tingting Liang, Lichuan Ji, Jian Wu:
Data Augmented Maximum Margin Matrix Factorization for Flickr Group Recommendation. PAKDD (1) 2014: 473-484 - [c20]Tingting Liang, Liang Chen, Haochao Ying, Jian Wu:
Co-Clustering WSDL Documents to Bootstrap Service Discovery. SOCA 2014: 215-222 - [e1]Jalal Mahmud, James Caverlee, Jeffrey Nichols, John O'Donovan, Michelle X. Zhou, Yi Zeng, Liang Chen:
Proceedings of the 3rd Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, DUBMOD@CIKM 2014, Shanghai, China, November 3, 2014. ACM 2014, ISBN 978-1-4503-1303-2 [contents] - 2013
- [j3]Jian Wu, Liang Chen, Qi Yu
Selecting skyline services for QoS-aware composition by upgrading MapReduce paradigm. Clust. Comput. 16(4): 693-706 (2013) - [j2]Jian Wu, Liang Chen, Yipeng Feng, Zibin Zheng
Predicting Quality of Service for Selection by Neighborhood-Based Collaborative Filtering. IEEE Trans. Syst. Man Cybern. Syst. 43(2): 428-439 (2013) - [c19]Li Kuang
Full Recognition of Massive Products Based on Property Set. BigData Congress 2013: 294-301 - [c18]Yilun Wang, Liang Chen, Jian Wu:
Content-boosted maximum margin matrix factorization for Flickr group recommendation. DUBMOD@CIKM 2013: 13-16 - [c17]Yanan Xie, Liang Chen, Kunyang Jia, Lichuan Ji, Jian Wu:
iNewsBox: modeling and exploiting implicit feedback for building personalized news radio. CIKM 2013: 2485-2488 - [c16]Liang Chen, Yilun Wang, Qi Yu, Zibin Zheng
WT-LDA: User Tagging Augmented LDA for Web Service Clustering. ICSOC 2013: 162-176 - [c15]Panpan Han, Liang Chen, Jian Wu:
A Semantic-Based Dual Caching System for Nomadic Web Service. PAKDD Workshops 2013: 511-521 - [c14]Hanze Xu, Yanan Xie, Dinglong Duan, Liang Chen, Jian Wu:
FTCRank: Ranking Components for Building Highly Reliable Cloud Applications. PAKDD Workshops 2013: 522-532 - [c13]Liang Chen, Yipeng Feng, Jian Wu:
Collaborative QoS Prediction via Feedback-Based Trust Model. SOCA 2013: 206-213 - [c12]Tingting Liang, Lichuan Ji, Liang Chen, Jian Wu, Zhaohui Wu:
Collaborative QoS Prediction via Matrix Factorization and Topic Model. SOCA 2013: 282-289 - 2012
- [j1]Jian Wu, Liang Chen, Hengyi Jian, Zhaohui Wu:
Composite Service Recommendation Based on Bayes Theorem. Int. J. Web Serv. Res. 9(2): 69-93 (2012) - [c11]Liang Chen, Zibin Zheng
WSTRank: Ranking Tags to Facilitate Web Service Mining. ICSOC 2012: 574-581 - [c10]Liang Chen, Hengyi Jian, Jian Wu:
WSCRec: Utilizing Historical Information to Facilitate Web Service Composition. ICWS 2012: 633-634 - [c9]Liang Chen, Li Kuang
MapReduce Based Skyline Services Selection for QoS-aware Composition. IPDPS Workshops 2012: 2035-2042 - [c8]Liang Chen, Kai Hwang, Jian Wu:
MapReduce Skyline Query Processing with a New Angular Partitioning Approach. IPDPS Workshops 2012: 2262-2270 - [c7]Jian Wu, Liang Chen, Yanan Xie, Zibin Zheng
Titan: a system for effective web service discovery. WWW (Companion Volume) 2012: 441-444 - 2011
- [c6]Ying Ma, Liang Chen, Jian Hui, Jian Wu:
CBBCM: Clustering Based Automatic Service Composition. IEEE SCC 2011: 354-361 - [c5]Limin Pan, Liang Chen, Jian Hui, Jian Wu:
QoS-Based Distributed Service Selection in Large-Scale Web Services. IEEE SCC 2011: 725-726 - [c4]Liang Chen, Yipeng Feng, Jian Wu, Zibin Zheng
An Enhanced QoS Prediction Approach for Service Selection. IEEE SCC 2011: 727-728 - [c3]Liang Chen, Liukai Hu, Zibin Zheng
WTCluster: Utilizing Tags for Web Services Clustering. ICSOC 2011: 204-218 - 2010
- [c2]Liang Chen, Jian Wu, Ru Jia, ShuiGuang Deng
Recommendation on Uncertain Services. ICWS 2010: 683-684 - [c1]Liang Chen, Jian Wu, ShuiGuang Deng
Service Recommendation: Similarity-Based Representative Skyline. SERVICES 2010: 360-366
Coauthor Index
[j39] [c100] [c98] [c97] [c95] [c94] [c93] [i52] [i50] [i49] [i48] [i47] [i46] [i45] [j37] [j36] [c92] [c89] [c88] [c80] [c79] [c78] [i43] [i41] [i39] [i38] [i37] [i34] [i30] [i28] [i27] [j33] [j32] [c76] [c75] [i26] [i25] [i24] [i21] [i20] [i19] [i18] [i17] [i16] [j26] [c71] [c70] [i15] [i11] [c56] [i9] [i6]
[j41] [j40] [j39] [c100] [c97] [c95] [c94] [c93] [i52] [i50] [i49] [i48] [i46] [i45] [j38] [j37] [j36] [c92] [c89] [c88] [c81] [c80] [c78] [i43] [i40] [i39] [i38] [i37] [i34] [i33] [i30] [i28] [i27] [j34] [j33] [j32] [j31] [i26] [i24] [i23] [i22] [i20] [i19] [i18] [i16] [j28] [j27] [j26] [c73] [c72] [c71] [c70] [c66] [i15] [i11] [j25] [j20] [c64] [c60] [c59] [c58] [c57] [c56] [c54] [i9] [i8] [i6] [i4] [j19] [j18] [j17] [c52] [c51] [i3] [i2] [c50] [c49] [c48] [c47] [c46] [c44] [c41] [c40] [c28] [j7] [j6] [j5] [j2] [c16] [c11] [c7] [c4] [c3]
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