Liang Chen - RankMe

227 papers A* 36A 38B 1Misc 1Journal 114Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	GT-SNT: A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization. AAAI Huizhe Zhang, Jintang Li, Yuchang Zhu, Huazhen Zhong, Liang Chen
2026	J	`jnl`	SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding. IEEE Trans. Knowl. Data Eng. Yuchang Zhu, Jintang Li, Huizhe Zhang, Liang Chen, Zibin Zheng
2026	A*	`conf`	Spiking Heterogeneous Graph Attention Networks. AAAI Buqing Cao, Qian Peng, Xiang Xie, Liang Chen, Min Shi, Jianxun Liu
2026	J	`jnl`	Spiking Heterogeneous Graph Attention Networks. CoRR Buqing Cao, Qian Peng, Xiang Xie, Liang Chen, Min Shi, Jianxun Liu
2026	J	`jnl`	UI-Venus-1.5 Technical Report. CoRR Venus Team, Changlong Gao, Zhangxuan Gu, Yulin Liu, Xinyu Qiu, Shuheng Shen, Yue Wen, Tianyu Xia, Zhenyu Xu, Zhengwen Zeng, Beitong Zhou, Xingran Zhou, Weizhi Chen, Sunhao Dai, Jingya Dou, Yichen Gong, Yuan Guo, Zhenlin Guo, Feng Li, Qian Li, Jinzhen Lin, Yuqi Zhou, Linchao Zhu, Liang Chen, Zhenyu Guo, Changhua Meng, Weiqiang Wang
2025	—	`conf`	A Multi-view Heterogeneous Hypergraph Augmented Self-gating Contrastive Fusion Framework for Service Recommendation. ICSOC (1) Fenfang Xie, Runjun Zhang, Caijie Lin, Liang Chen, Mingdong Tang
2025	J	`jnl`	Are Large Language Models In-Context Graph Learners? CoRR Jintang Li, Ruofan Wu, Yuchang Zhu, Huizhe Zhang, Liang Chen, Zibin Zheng
2025	J	`jnl`	Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning. CoRR Liang Chen, Xueting Han, Li Shen, Jing Bai, Kam-Fai Wong
2025	J	`jnl`	Capturing latent evolution in dynamic graph: A dual-view architecture from spectral perspective. Knowl. Based Syst. Qianqian Chen, Jintang Li, Liang Chen
2025	J	`jnl`	EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget. CoRR Liang Chen, Xueting Han, Qizhou Wang, Bo Han, Jing Bai, Hinrich Schutze, Kam-Fai Wong
2025	Misc	`conf`	Evolution of Aegis: Fault Diagnosis for AI Model Training Service in Production. NSDI Jianbo Dong, Kun Qian, Pengcheng Zhang, Zhilong Zheng, Liang Chen, Fei Feng, Yichi Xu, Yikai Zhu, Gang Lu, Xue Li, Zhihui Ren, Zhicheng Wang, Bin Luo, Peng Zhang, Yang Liu, Yanqing Chen, Yu Guan, Weicheng Wang, Chaojie Yang, Yang Zhang, Man Yuan, Hanyu Zhao, Yong Li, Zihan Zhao, Shan Li, Xianlong Zeng, Zhiping Yao, Binzhang Fu, Ennan Zhai, Wei Lin, Chao Wang, Dennis Cai
2025	J	`jnl`	FairDLA: Improving the fairness-utility trade-off in graph neural networks via dual-level alignment. Knowl. Based Syst. Ying Zhen, Yuchang Zhu, Jintang Li, Liang Chen
2025	J	`jnl`	GT-SVQ: A Linear-Time Graph Transformer for Node Classification Using Spiking Vector Quantization. CoRR Huizhe Zhang, Jintang Li, Yuchang Zhu, Liang Chen, Zibin Zheng
2025	J	`jnl`	Heterophily-Aware Representation Learning on Heterogeneous Graphs. IEEE Trans. Pattern Anal. Mach. Intell. Jintang Li, Zheng Wei, Yuchang Zhu, Ruofan Wu, Huizhe Zhang, Liang Chen, Zibin Zheng
2025	J	`jnl`	Long-term evolutionary patterns matter: Self-supervised anomaly detection on dynamic graphs. Knowl. Based Syst. Yun Fu, Che Zhou, Jintang Li, Liang Chen
2025	A*	`conf`	Measuring Diversity in Synthetic Datasets. ICML Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian
2025	J	`jnl`	Measuring Diversity in Synthetic Datasets. CoRR Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian
2025	A*	`conf`	NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction. ICML Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao
2025	J	`jnl`	NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction. CoRR Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao
2025	A*	`conf`	PEARL: Towards Permutation-Resilient LLMs. ICLR Liang Chen, Li Shen, Yang Deng, Xiaoyan Zhao, Bin Liang, Kam-Fai Wong
2025	J	`jnl`	PEARL: Towards Permutation-Resilient LLMs. CoRR Liang Chen, Li Shen, Yang Deng, Xiaoyan Zhao, Bin Liang, Kam-Fai Wong
2025	J	`jnl`	SGNNBench: A Holistic Evaluation of Spiking Graph Neural Network on Large-scale Graph. CoRR Huizhe Zhang, Jintang Li, Yuchang Zhu, Liang Chen, Li Kuang
2025	J	`jnl`	SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding. CoRR Yuchang Zhu, Jintang Li, Huizhe Zhang, Liang Chen, Zibin Zheng
2025	J	`jnl`	UI-Venus Technical Report: Building High-performance UI Agents with RFT. CoRR Zhangxuan Gu, Zhengwen Zeng, Zhenyu Xu, Xingran Zhou, Shuheng Shen, Yunfei Liu, Beitong Zhou, Changhua Meng, Tianyu Xia, Weizhi Chen, Yue Wen, Jingya Dou, Fei Tang, Jinzhen Lin, Yulin Liu, Zhenlin Guo, Yichen Gong, Heng Jia, Changlong Gao, Yuan Guo, Yong Deng, Zhenyu Guo, Liang Chen, Weiqiang Wang
2025	A*	`conf`	Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning. ICML Liang Chen, Xueting Han, Li Shen, Jing Bai, Kam-Fai Wong
2025	J	`jnl`	Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning. CoRR Liang Chen, Xueting Han, Li Shen, Jing Bai, Kam-Fai Wong
2025	J	`jnl`	What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning. CoRR Yuchang Zhu, Huazhen Zhong, Qunshu Lin, Haotong Wei, Xiaolong Sun, Zixuan Yu, Minghao Liu, Zibin Zheng, Liang Chen
2024	A*	`conf`	A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. ICLR Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen
2024	J	`jnl`	A Review-Level Sentiment Information Enhanced Multitask Learning Approach for Explainable Recommendation. IEEE Trans. Comput. Soc. Syst. Fenfang Xie, Yuansheng Wang, Kun Xu, Liang Chen, Zibin Zheng, Mingdong Tang
2024	A*	`conf`	Consecutive Batch Model Editing with HooK Layers. EMNLP Shuaiyi Li, Yang Deng, Deng Cai, Hongyuan Lu, Liang Chen, Wai Lam
2024	J	`jnl`	Consecutive Model Editing with Batch alongside HooK Layers. CoRR Shuaiyi Li, Yang Deng, Deng Cai, Hongyuan Lu, Liang Chen, Wai Lam
2024	—	`conf`	Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm. ACL (Findings) Yuanzhen Xie, Xinzhou Jin, Tao Xie, Mingxiong Lin, Liang Chen, Chenyun Yu, Cheng Lei, Chengxiang Zhuo, Bo Hu, Zang Li
2024	J	`jnl`	Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm. CoRR Yuanzhen Xie, Xinzhou Jin, Tao Xie, Mingxiong Lin, Liang Chen, Chenyun Yu, Lei Cheng, Chengxiang Zhuo, Bo Hu, Zang Li
2024	A*	`conf`	Fair Graph Representation Learning via Sensitive Attribute Disentanglement. WWW Yuchang Zhu, Jintang Li, Zibin Zheng, Liang Chen
2024	J	`jnl`	Fair Graph Representation Learning via Sensitive Attribute Disentanglement. CoRR Yuchang Zhu, Jintang Li, Zibin Zheng, Liang Chen
2024	J	`jnl`	FairAGG: Toward Fair Graph Neural Networks via Fair Aggregation. IEEE Trans. Comput. Soc. Syst. Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng
2024	J	`jnl`	L CoRR Xinzhou Jin, Jintang Li, Liang Chen, Chenyun Yu, Yuanzhen Xie, Tao Xie, Chengxiang Zhuo, Zang Li, Zibin Zheng
2024	A*	`conf`	One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes. KDD Yuchang Zhu, Jintang Li, Yatao Bian, Zibin Zheng, Liang Chen
2024	J	`jnl`	One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes. CoRR Yuchang Zhu, Jintang Li, Yatao Bian, Zibin Zheng, Liang Chen
2024	A*	`conf`	Parameter-Efficient Fine-Tuning with Discrete Fourier Transform. ICML Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li
2024	J	`jnl`	Parameter-Efficient Fine-Tuning with Discrete Fourier Transform. CoRR Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li
2024	A	`conf`	Rethinking and Simplifying Bootstrapped Graph Latents. WSDM Wangbin Sun, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng
2024	A*	`conf`	Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. KDD Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen
2024	J	`jnl`	Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. CoRR Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen
2024	J	`jnl`	Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective. CoRR Jintang Li, Ruofan Wu, Yuchang Zhu, Huizhe Zhang, Xinzhou Jin, Guibin Zhang, Zulun Zhu, Zibin Zheng, Liang Chen
2024	—	`conf`	SELF-GUARD: Empower the LLM to Safeguard Itself. NAACL-HLT Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong
2024	J	`jnl`	SGHormer: An Energy-Saving Graph Transformer Driven by Spikes. CoRR Huizhe Zhang, Jintang Li, Liang Chen, Zibin Zheng
2024	A*	`conf`	State Space Models on Temporal Graphs: A First-Principles Study. NeurIPS Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng
2024	J	`jnl`	State Space Models on Temporal Graphs: A First-Principles Study. CoRR Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng
2024	A	`conf`	The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation. WSDM Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng
2024	—	`conf`	WatME: Towards Lossless Watermarking Through Lexical Redundancy. ACL (1) Liang Chen, Yatao Bian, Yang Deng, Deng Cai, Shuaiyi Li, Peilin Zhao, Kam-Fai Wong
2024	J	`jnl`	Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks. Connect. Sci. Fenfang Xie, Angyu Zheng, Liang Chen, Zibin Zheng, Mingdong Tang
2023	J	`jnl`	A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. CoRR Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Liang Chen, Zibin Zheng, Baokun Wang, Changhua Meng
2023	J	`jnl`	A Survey of the Evolution of Language Model-Based Dialogue Systems. CoRR Hongru Wang, Lingzhi Wang, Yiming Du, Liang Chen, Jingyan Zhou, Yufei Wang, Kam-Fai Wong
2023	J	`jnl`	Adversarial Attack on Large Scale Graph. IEEE Trans. Knowl. Data Eng. Jintang Li, Tao Xie, Liang Chen, Fenfang Xie, Xiangnan He, Zibin Zheng
2023	—	`conf`	Attention Paper: How Generative AI Reshapes Digital Shadow Industry? ACM TUR-C Qichao Wang, Huan Ma, Wentao Wei, Hangyu Li, Changqing Zhang, Peilin Zhao, Binwen Zhao, Bo Hu, Shu Zhang, Bingzhe Wu, Liang Chen
2023	J	`jnl`	Attention Paper: How Generative AI Reshapes Digital Shadow Industry? CoRR Qichao Wang, Huan Ma, Wentao Wei, Hangyu Li, Liang Chen, Peilin Zhao, Binwen Zhao, Bo Hu, Shu Zhang, Zibin Zheng, Bingzhe Wu
2023	A*	`conf`	Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. EMNLP Liang Chen, Yang Deng, Yatao Bian, Zeyu Qin, Bingzhe Wu, Tat-Seng Chua, Kam-Fai Wong
2023	J	`jnl`	Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. CoRR Liang Chen, Yang Deng, Yatao Bian, Zeyu Qin, Bingzhe Wu, Tat-Seng Chua, Kam-Fai Wong
2023	A*	`conf`	Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. ICDE Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang
2023	A*	`conf`	Enhancing Graph Collaborative Filtering via Neighborhood Structure Embedding. ICDM Xinzhou Jin, Jintang Li, Yuanzhen Xie, Liang Chen, Beibei Kong, Lei Cheng, Bo Hu, Zang Li, Zibin Zheng
2023	A	`conf`	GUARD: Graph Universal Adversarial Defense. CIKM Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng, Weiqiang Wang
2023	J	`jnl`	Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs. CoRR Jintang Li, Zheng Wei, Jiawang Dan, Jing Zhou, Yuchang Zhu, Ruofan Wu, Baokun Wang, Zhang Zhen, Changhua Meng, Hong Jin, Zibin Zheng, Liang Chen
2023	—	`conf`	Improving Code Representation Learning via Multi-view Contrastive Graph Pooling for Abstract Syntax Tree. CollaborateCom (2) Ruoting Wu, Yuxin Zhang, Liang Chen
2023	J	`jnl`	Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale. CoRR Qichao Wang, Tian Bian, Yian Yin, Tingyang Xu, Hong Cheng, Helen M. Meng, Zibin Zheng, Liang Chen, Bingzhe Wu
2023	J	`jnl`	LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning. CoRR Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng
2023	J	`jnl`	Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs. CoRR Jintang Li, Sheng Tian, Ruofan Wu, Liang Zhu, Wenlong Zhao, Changhua Meng, Liang Chen, Zibin Zheng, Hongzhi Yin
2023	A*	`conf`	Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. SIGIR Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin
2023	J	`jnl`	Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. CoRR Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen, Hongzhi Yin
2023	J	`jnl`	Meta Semantic Template for Evaluation of Large Language Models. CoRR Yachuan Liu, Liang Chen, Jindong Wang, Qiaozhu Mei, Xing Xie
2023	J	`jnl`	Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network. IEEE Trans. Knowl. Data Eng. Tingting Liang, Congying Xia, Haoran Xu, Ziqiang Zhao, Yuyu Yin, Liang Chen, Philip S. Yu
2023	A*	`conf`	Modelling High-Order Social Relations for Item Recommendation (Extended Abstract). ICDE Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang
2023	—	`conf`	Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration. EMNLP (Findings) Yang Deng, Lizi Liao, Liang Chen, Hongru Wang, Wenqiang Lei, Tat-Seng Chua
2023	—	`conf`	RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data. EMNLP (Findings) Haotian Wang, Zhen Zhang, Mengting Hu, Qichao Wang, Liang Chen, Yatao Bian, Bingzhe Wu
2023	J	`jnl`	Rethinking and Simplifying Bootstrapped Graph Latents. CoRR Wangbin Sun, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng
2023	A*	`conf`	SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. IJCAI Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen
2023	J	`jnl`	SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. CoRR Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen
2023	A	`conf`	SAILOR: Structural Augmentation Based Tail Node Representation Learning. CIKM Jie Liao, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng
2023	J	`jnl`	SAILOR: Structural Augmentation Based Tail Node Representation Learning. CoRR Jie Liao, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng
2023	A*	`conf`	Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. AAAI Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng
2023	J	`jnl`	Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning. CoRR Jintang Li, Wangbin Sun, Ruofan Wu, Yuchang Zhu, Liang Chen, Zibin Zheng
2023	J	`jnl`	Selecting reliable blockchain peers via hybrid blockchain reliability prediction. IET Softw. Peilin Zheng, Zibin Zheng, Liang Chen
2023	J	`jnl`	Self-Guard: Empower the LLM to Safeguard Itself. CoRR Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong
2023	J	`jnl`	Spectral Adversarial Training for Robust Graph Neural Network. IEEE Trans. Knowl. Data Eng. Jintang Li, Jiaying Peng, Liang Chen, Zibin Zheng, Tingting Liang, Qing Ling
2023	—	`conf`	Structural Adversarial Attack for Code Representation Models. CollaborateCom (2) Yuxin Zhang, Ruoting Wu, Jie Liao, Liang Chen
2023	J	`jnl`	The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation. CoRR Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng
2023	—	`conf`	Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization. ACL (Findings) Liang Chen, Hongru Wang, Yang Deng, Wai-Chung Kwan, Zezhong Wang, Kam-Fai Wong
2023	J	`jnl`	Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization. CoRR Liang Chen, Hongru Wang, Yang Deng, Wai-Chung Kwan, Zezhong Wang, Kam-Fai Wong
2023	A*	`conf`	What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders. KDD Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang
2023	J	`jnl`	X-Mark: Towards Lossless Watermarking Through Lexical Redundancy. CoRR Liang Chen, Yatao Bian, Yang Deng, Shuaiyi Li, Bingzhe Wu, Peilin Zhao, Kam-Fai Wong
2022	J	`jnl`	A Survey of Deep Learning Models for Structural Code Understanding. CoRR Ruoting Wu, Yuxin Zhang, Qibiao Peng, Liang Chen, Zibin Zheng
2022	J	`jnl`	A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao
2022	J	`jnl`	Are All Edges Necessary? A Unified Framework for Graph Purification. CoRR Zishan Gu, Jintang Li, Liang Chen
2022	J	`jnl`	Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks. ACM Trans. Inf. Syst. Minghao Zhao, Qilin Deng, Kai Wang, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui
2022	J	`jnl`	FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation. CoRR Yuansheng Wang, Wangbin Sun, Kun Xu, Zulun Zhu, Liang Chen, Zibin Zheng
2022	J	`jnl`	GUARD: Graph Universal Adversarial Defense. CoRR Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Changhua Meng, Zibin Zheng, Weiqiang Wang
2022	J	`jnl`	Graph Enhanced Neural Interaction Model for recommendation. Knowl. Based Syst. Liang Chen, Tao Xie, Jintang Li, Zibin Zheng
2022	J	`jnl`	MaskGAE: Masked Graph Modeling Meets Graph Autoencoders. CoRR Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang
2022	J	`jnl`	Modelling High-Order Social Relations for Item Recommendation. IEEE Trans. Knowl. Data Eng. Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang
2022	J	`jnl`	Neighboring Backdoor Attacks on Graph Convolutional Network. CoRR Liang Chen, Qibiao Peng, Jintang Li, Yang Liu, Jiawei Chen, Yong Li, Zibin Zheng
2022	J	`jnl`	Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift. CoRR Bingzhe Wu, Jintang Li, Chengbin Hou, Guoji Fu, Yatao Bian, Liang Chen, Junzhou Huang
2022	J	`jnl`	Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. CoRR Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng
2022	J	`jnl`	Service recommendation through graph attention network in heterogeneous information networks. Int. J. Comput. Sci. Eng. Fenfang Xie, Yangjun Xu, Angyu Zheng, Liang Chen, Zibin Zheng
2022	J	`jnl`	Spectral Adversarial Training for Robust Graph Neural Network. CoRR Jintang Li, Jiaying Peng, Liang Chen, Zibin Zheng, Tingting Liang, Qing Ling
2022	A*	`conf`	Spiking Graph Convolutional Networks. IJCAI Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo
2022	J	`jnl`	Spiking Graph Convolutional Networks. CoRR Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo
2022	A*	`conf`	Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. KDD Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang
2022	J	`jnl`	Unifying multi-associations through hypergraph for bundle recommendation. Knowl. Based Syst. Zhouxin Yu, Jintang Li, Liang Chen, Zibin Zheng
2021	J	`jnl`	Attentive Meta-graph Embedding for item Recommendation in heterogeneous information networks. Knowl. Based Syst. Fenfang Xie, Angyu Zheng, Liang Chen, Zibin Zheng
2021	A*	`conf`	AutoDebias: Learning to Debias for Recommendation. SIGIR Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang
2021	J	`jnl`	AutoDebias: Learning to Debias for Recommendation. CoRR Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang
2021	A*	`conf`	DGCN: Diversified Recommendation with Graph Convolutional Networks. WWW Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li
2021	J	`jnl`	DGCN: Diversified Recommendation with Graph Convolutional Networks. CoRR Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li
2021	J	`jnl`	Data poisoning attacks on neighborhood-based recommender systems. Trans. Emerg. Telecommun. Technol. Liang Chen, Yangjun Xu, Fenfang Xie, Min Huang, Zibin Zheng
2021	A	`conf`	Expanding Relationship for Cross Domain Recommendation. CIKM Kun Xu, Yuanzhen Xie, Liang Chen, Zibin Zheng
2021	—	`conf`	GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software. ICSE (Companion Volume) Jintang Li, Kun Xu, Liang Chen, Zibin Zheng, Xiao Liu
2021	J	`jnl`	GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software. CoRR Jintang Li, Kun Xu, Liang Chen, Zibin Zheng, Xiao Liu
2021	A	`conf`	Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network. WSDM Yuanzhen Xie, Zijing Ou, Liang Chen, Yang Liu, Kun Xu, Carl Yang, Zibin Zheng
2021	J	`jnl`	Mobile app recommendation via heterogeneous graph neural network in edge computing. Appl. Soft Comput. Tingting Liang, Xuan Sheng, Li Zhou, Youhuizi Li, Honghao Gao, Yuyu Yin, Liang Chen
2021	J	`jnl`	Personalized Bundle Recommendation in Online Games. CoRR Qilin Deng, Kai Wang, Minghao Zhao, Zhene Zou, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen
2021	J	`jnl`	Phishing Scams Detection in Ethereum Transaction Network. ACM Trans. Internet Techn. Liang Chen, Jiaying Peng, Yang Liu, Jintang Li, Fenfang Xie, Zibin Zheng
2021	A*	`conf`	Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation. AAAI Kai Wang, Zhene Zou, Qilin Deng, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui
2021	J	`jnl`	Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation. CoRR Kai Wang, Zhene Zou, Qilin Deng, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui
2021	A*	`conf`	Secure Deep Graph Generation with Link Differential Privacy. IJCAI Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun
2021	A*	`conf`	Self-supervised Graph Learning for Recommendation. SIGIR Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
2021	A*	`conf`	Sequential Recommendation on Dynamic Heterogeneous Information Network. ICDE Tao Xie, Yangjun Xu, Liang Chen, Yang Liu, Zibin Zheng
2021	A*	`conf`	Understanding Structural Vulnerability in Graph Convolutional Networks. IJCAI Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang
2021	J	`jnl`	Understanding Structural Vulnerability in Graph Convolutional Networks. CoRR Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang
2020	J	`jnl`	A Survey of Adversarial Learning on Graphs. CoRR Liang Chen, Jintang Li, Jiaying Peng, Tao Xie, Zengxu Cao, Kun Xu, Xiangnan He, Zibin Zheng
2020	J	`jnl`	ATM: An Attentive Translation Model for Next-Item Recommendation. IEEE Trans. Ind. Informatics Bin Wu, Xiangnan He, Zhongchuan Sun, Liang Chen, Yangdong Ye
2020	A	`conf`	Abstract Interpretation Based Robustness Certification for Graph Convolutional Networks. ECAI Yang Liu, Jiaying Peng, Liang Chen, Zibin Zheng
2020	J	`jnl`	Adversarial Attack on Large Scale Graph. CoRR Jintang Li, Tao Xie, Liang Chen, Fenfang Xie, Xiangnan He, Zibin Zheng
2020	J	`jnl`	CAMAR: a broad learning based context-aware recommender for mobile applications. Knowl. Inf. Syst. Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Haochao Ying, Philip S. Yu, Jian Wu
2020	A*	`conf`	Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines. SIGIR Yang Liu, Xianzhuo Xia, Liang Chen, Xiangnan He, Carl Yang, Zibin Zheng
2020	A	`conf`	Deep Behavior Tracing with Multi-level Temporality Preserved Embedding. CIKM Runze Wu, Hao Deng, Jianrong Tao, Changjie Fan, Qi Liu, Liang Chen
2020	—	`conf`	Deep Insights into Graph Adversarial Learning: An Empirical Study Perspective. HBAI@IJCAI Jintang Li, Zishan Gu, Qibiao Peng, Kun Xu, Liang Chen, Zibin Zheng
2020	A	`conf`	Directional Adversarial Training for Recommender Systems. ECAI Yangjun Xu, Liang Chen, Fenfang Xie, Weibo Hu, Jieming Zhu, Chuan Chen, Zibin Zheng
2020	A	`conf`	Ensembled CTR Prediction via Knowledge Distillation. CIKM Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng
2020	J	`jnl`	Ensembled CTR Prediction via Knowledge Distillation. CoRR Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng
2020	J	`jnl`	Friend Recommendation Based on Multi-Social Graph Convolutional Network. IEEE Access Liang Chen, Yuanzhen Xie, Zibin Zheng, Huayou Zheng, Jingdun Xie
2020	—	`conf`	Graph Neural Network and Multi-view Learning Based Mobile Application Recommendation in Heterogeneous Graphs. SCC Fenfang Xie, Zengxu Cao, Yangjun Xu, Liang Chen, Zibin Zheng
2020	J	`jnl`	Incorporating geographical location for team formation in social coding sites. World Wide Web Liang Chen, Yongjian Ye, Angyu Zheng, Fenfang Xie, Zibin Zheng, Michael R. Lyu
2020	A*	`conf`	Interactive Path Reasoning on Graph for Conversational Recommendation. KDD Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua
2020	J	`jnl`	Interactive Path Reasoning on Graph for Conversational Recommendation. CoRR Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua
2020	—	`conf`	Keep You from Leaving: Churn Prediction in Online Games. DASFAA (2) Angyu Zheng, Liang Chen, Fenfang Xie, Jianrong Tao, Changjie Fan, Zibin Zheng
2020	A	`conf`	Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation. CIKM Kai Wang, Hao Li, Linxia Gong, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui
2020	J	`jnl`	Modelling High-Order Social Relations for Item Recommendation. CoRR Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang
2020	J	`jnl`	Multi-view factorization machines for mobile app recommendation based on hierarchical attention. Knowl. Based Syst. Tingting Liang, Lei Zheng, Liang Chen, Yao Wan, Philip S. Yu, Jian Wu
2020	A	`conf`	Personalized Bundle Recommendation in Online Games. CIKM Qilin Deng, Kai Wang, Minghao Zhao, Zhene Zou, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen
2020	J	`jnl`	Real-Time Fault Detection for IIoT Facilities Using GBRBM-Based DNN. IEEE Internet Things J. Huakun Huang, Shuxue Ding, Lingjun Zhao, Huawei Huang, Liang Chen, Honghao Gao, Syed Hassan Ahmed
2020	J	`jnl`	Self-supervised Graph Learning for Recommendation. CoRR Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
2019	J	`jnl`	AC-Net: Assessing the Consistency of Description and Permission in Android Apps. IEEE Access Yinglan Feng, Liang Chen, Angyu Zheng, Cuiyun Gao, Zibin Zheng
2019	J	`jnl`	Data Poisoning Attacks on Neighborhood-based Recommender Systems. CoRR Liang Chen, Yangjun Xu, Fenfang Xie, Min Huang, Zibin Zheng
2019	A	`conf`	Generative Adversarial Network Based Service Recommendation in Heterogeneous Information Networks. ICWS Fenfang Xie, Shenghui Li, Liang Chen, Yangjun Xu, Zibin Zheng
2019	A	`conf`	Learning Region Similarity over Spatial Knowledge Graphs with Hierarchical Types and Semantic Relations. CIKM Xiongnan Jin, Byungkook Oh, Sanghak Lee, Dongho Lee, Kyong-Ho Lee, Liang Chen
2019	A*	`conf`	Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network. IJCAI Liang Chen, Yang Liu, Xiangnan He, Lianli Gao, Zibin Zheng
2019	J	`jnl`	Personalized Service Recommendation With Mashup Group Preference in Heterogeneous Information Network. IEEE Access Fenfang Xie, Liang Chen, Dongding Lin, Zibin Zheng, Xiaola Lin
2019	J	`jnl`	Predicting Quality of Service via Leveraging Location Information. Complex. Liang Chen, Fenfang Xie, Zibin Zheng, Yaoming Wu
2019	J	`jnl`	SMS: A Framework for Service Discovery by Incorporating Social Media Information. IEEE Trans. Serv. Comput. Tingting Liang, Liang Chen, Jian Wu, Guandong Xu, Zhaohui Wu
2019	J	`jnl`	Selecting Reliable Blockchain Peers via Hybrid Blockchain Reliability Prediction. CoRR Peilin Zheng, Zibin Zheng, Liang Chen
2018	A	`conf`	A Weighted Meta-graph Based Approach for Mobile Application Recommendation on Heterogeneous Information Networks. ICSOC Fenfang Xie, Liang Chen, Yongjian Ye, Yang Liu, Zibin Zheng, Xiaola Lin
2018	J	`jnl`	Exploiting cross-source knowledge for warming up community question answering services. Neurocomputing Yao Wan, Guandong Xu, Liang Chen, Zhou Zhao, Jian Wu
2018	A	`conf`	Factorization Machine Based Service Recommendation on Heterogeneous Information Networks. ICWS Fenfang Xie, Liang Chen, Yongjian Ye, Zibin Zheng, Xiaola Lin
2018	—	`conf`	Group preference based API recommendation via heterogeneous information network. ICSE (Companion Volume) Fenfang Xie, Liang Chen, Dongding Lin, Chuan Chen, Zibin Zheng, Xiaola Lin
2018	A	`conf`	Heterogeneous Neural Attentive Factorization Machine for Rating Prediction. CIKM Liang Chen, Yang Liu, Zibin Zheng, Philip S. Yu
2018	A*	`conf`	Learning Semantic Representations for Unsupervised Domain Adaptation. ICML Shaoan Xie, Zibin Zheng, Liang Chen, Chuan Chen
2018	J	`jnl`	Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system. Knowl. Based Syst. Hongzhi Yin, Weiqing Wang, Liang Chen, Xingzhong Du, Quoc Viet Hung Nguyen, Zi Huang
2018	J	`jnl`	SCSMiner: mining social coding sites for software developer recommendation with relevance propagation. World Wide Web Yao Wan, Liang Chen, Guandong Xu, Zhou Zhao, Jie Tang, Jian Wu
2018	A	`conf`	Software Service Recommendation Base on Collaborative Filtering Neural Network Model. ICSOC Liang Chen, Angyu Zheng, Yinglan Feng, Fenfang Xie, Zibin Zheng
2018	A	`conf`	Two-Phase Web Service QoS Prediction with Restricted Boltzmann Machine. ICSOC Lu Chen, Yuyu Yin, Yueshen Xu, Liang Chen, Jian Wan
2017	A*	`conf`	A Broad Learning Approach for Context-Aware Mobile Application Recommendation. ICDM Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Philip S. Yu, Jian Wu
2017	J	`jnl`	A Broad Learning Approach for Context-Aware Mobile Application Recommendation. CoRR Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Philip S. Yu, Jian Wu
2017	J	`jnl`	A service computing manifesto: the next 10 years. Commun. ACM Athman Bouguettaya, Munindar P. Singh, Michael N. Huhns, Quan Z. Sheng, Hai Dong, Qi Yu, Azadeh Ghari Neiat, Sajib Mistry, Boualem Benatallah, Brahim Medjahed, Mourad Ouzzani, Fabio Casati, Xumin Liu, HongBing Wang, Dimitrios Georgakopoulos, Liang Chen, Surya Nepal, Zaki Malik, Abdelkarim Erradi, Yan Wang, M. Brian Blake, Schahram Dustdar, Frank Leymann, Michael P. Papazoglou
2017	A	`conf`	An Embedding Based Factorization Machine Approach for Web Service QoS Prediction. ICSOC Yaoming Wu, Fenfang Xie, Liang Chen, Chuan Chen, Zibin Zheng
2017	—	`conf`	Exploiting Geographical Location for Team Formation in Social Coding Sites. PAKDD (1) Yuqiang Han, Yao Wan, Liang Chen, Guandong Xu, Jian Wu
2017	J	`jnl`	Extracting Core Users Based on Features of Users and Their Relationships in Recommender Systems. Int. J. Web Serv. Res. Li Kuang, Gaofeng Cao, Liang Chen
2017	A*	`conf`	Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation. ICDE Hongzhi Yin, Liang Chen, Weiqing Wang, Xingzhong Du, Nguyen Quoc Viet Hung, Xiaofang Zhou
2017	A	`conf`	Mobile Application Rating Prediction via Feature-Oriented Matrix Factorization. ICWS Tingting Liang, Liang Chen, Xingde Ying, Philip S. Yu, Jian Wu, Zibin Zheng
2016	—	`conf`	Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback. PAKDD (2) Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu
2016	—	`conf`	EARec: leveraging expertise and authority for pull-request reviewer recommendation in GitHub. CSI-SE@ICSE Haochao Ying, Liang Chen, Tingting Liang, Jian Wu
2016	A	`conf`	Exploiting Heterogeneous Information for Tag Recommendation in API Management. ICWS Tingting Liang, Liang Chen, Jian Wu, Athman Bouguettaya
2016	—	`conf`	Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization. PAKDD (1) Yao Wan, Liang Chen, Qi Yu, Tingting Liang, Jian Wu
2016	A	`conf`	Joint Modeling Users, Services, Mashups, and Topics for Service Recommendation. ICWS Wei Gao, Liang Chen, Jian Wu, Athman Bouguettaya
2016	A	`conf`	Meta-Path Based Service Recommendation in Heterogeneous Information Networks. ICSOC Tingting Liang, Liang Chen, Jian Wu, Hai Dong, Athman Bouguettaya
2016	J	`jnl`	Modern Service Industry and Crossover Services: Development and Trends in China. IEEE Trans. Serv. Comput. Zhaohui Wu, Jianwei Yin, Shuiguang Deng, Jian Wu, Ying Li, Liang Chen
2016	—	`conf`	PGRank: Personalized Geographical Ranking for Point-of-Interest Recommendation. WWW (Companion Volume) Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu
2016	A	`conf`	Personalized API Recommendation via Implicit Preference Modeling. ICSOC Wei Gao, Liang Chen, Jian Wu, Hai Dong, Athman Bouguettaya
2016	A	`conf`	Service Mining for Internet of Things. ICSOC Bing Huang, Athman Bouguettaya, Hai Dong, Liang Chen
2016	—	`conf`	Temporal Pattern Based QoS Prediction. WISE (2) Liang Chen, Haochao Ying, Qibo Qiu, Jian Wu, Hai Dong, Athman Bouguettaya
2015	A	`conf`	CASE: A Platform for Crowdsourcing Based API Search. ICSOC Tingting Liang, Liang Chen, Zhining Xie, Wei Yang, Jian Wu
2015	—	`conf`	Crowdsourcing Based API Search via Leveraging Twitter Lists Information. ICDM Workshops Tingting Liang, Liang Chen, Haochao Ying, Zibin Zheng, Jian Wu
2015	A	`conf`	Learning Sparse Functional Factors for Large-Scale Service Clustering. ICWS Qi Yu, HongBing Wang, Liang Chen
2015	A	`conf`	Manifold-Learning Based API Recommendation for Mashup Creation. ICWS Wei Gao, Liang Chen, Jian Wu, Honghao Gao
2015	A	`conf`	Time-Aware API Popularity Prediction via Heterogeneous Features. ICWS Yao Wan, Liang Chen, Jian Wu, Qi Yu
2015	J	`jnl`	Trust-aware media recommendation in heterogeneous social networks. World Wide Web Jian Wu, Liang Chen, Qi Yu, Panpan Han, Zhaohui Wu
2015	A	`conf`	WS-HFS: A Heterogeneous Feature Selection Framework for Web Services Mining. ICWS Liang Chen, Qi Yu, Philip S. Yu, Jian Wu
2014	J	`jnl`	A Trust-Aware Search Engine for Complex Service Computing. Int. J. Web Serv. Res. Mingdong Tang, Zibin Zheng, Liang Chen, Jianxun Liu, Buqing Cao, Zhengguang You
2014	J	`jnl`	Clustering Web services to facilitate service discovery. Knowl. Inf. Syst. Jian Wu, Liang Chen, Zibin Zheng, Michael R. Lyu, Zhaohui Wu
2014	—	`conf`	Co-Clustering WSDL Documents to Bootstrap Service Discovery. SOCA Tingting Liang, Liang Chen, Haochao Ying, Jian Wu
2014	A	`conf`	DUBMOD14 - International Workshop on Data-driven User Behavioral Modeling and Mining from Social Media. CIKM Jalal Mahmud, Jeffrey Nichols, Michelle X. Zhou, James Caverlee, Yi Zeng, Liang Chen, John O'Donovan
2014	—	`conf`	Data Augmented Maximum Margin Matrix Factorization for Flickr Group Recommendation. PAKDD (1) Liang Chen, Yilun Wang, Tingting Liang, Lichuan Ji, Jian Wu
2014	J	`jnl`	Instant Recommendation for Web Services Composition. IEEE Trans. Serv. Comput. Liang Chen, Jian Wu, Hengyi Jian, Hongbo Deng, Zhaohui Wu
2014	J	`jnl`	Modeling and exploiting tag relevance for Web service mining. Knowl. Inf. Syst. Liang Chen, Jian Wu, Zibin Zheng, Michael R. Lyu, Zhaohui Wu
2014	J	`jnl`	Modelling and exploring historical records to facilitate service composition. Int. J. Web Grid Serv. Jian Wu, Liang Chen, Yanan Xie, Lichuan Ji, Zhaohui Wu
2014	—	`ed.`	Proceedings of the 3rd Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, DUBMOD@CIKM 2014, Shanghai, China, November 3, 2014 DUBMOD@CIKM Jalal Mahmud, James Caverlee, Jeffrey Nichols, John O'Donovan, Michelle X. Zhou, Yi Zeng, Liang Chen
2013	—	`conf`	A Semantic-Based Dual Caching System for Nomadic Web Service. PAKDD Workshops Panpan Han, Liang Chen, Jian Wu
2013	—	`conf`	Collaborative QoS Prediction via Feedback-Based Trust Model. SOCA Liang Chen, Yipeng Feng, Jian Wu
2013	—	`conf`	Collaborative QoS Prediction via Matrix Factorization and Topic Model. SOCA Tingting Liang, Lichuan Ji, Liang Chen, Jian Wu, Zhaohui Wu
2013	—	`conf`	Content-boosted maximum margin matrix factorization for Flickr group recommendation. DUBMOD@CIKM Yilun Wang, Liang Chen, Jian Wu
2013	—	`conf`	FTCRank: Ranking Components for Building Highly Reliable Cloud Applications. PAKDD Workshops Hanze Xu, Yanan Xie, Dinglong Duan, Liang Chen, Jian Wu
2013	—	`conf`	Full Recognition of Massive Products Based on Property Set. BigData Congress Li Kuang, Liang Chen, Yanan Xie, Jian Wu
2013	J	`jnl`	Predicting Quality of Service for Selection by Neighborhood-Based Collaborative Filtering. IEEE Trans. Syst. Man Cybern. Syst. Jian Wu, Liang Chen, Yipeng Feng, Zibin Zheng, MengChu Zhou, Zhaohui Wu
2013	J	`jnl`	Selecting skyline services for QoS-aware composition by upgrading MapReduce paradigm. Clust. Comput. Jian Wu, Liang Chen, Qi Yu, Li Kuang, Yilun Wang, Zhaohui Wu
2013	A	`conf`	WT-LDA: User Tagging Augmented LDA for Web Service Clustering. ICSOC Liang Chen, Yilun Wang, Qi Yu, Zibin Zheng, Jian Wu
2013	A	`conf`	iNewsBox: modeling and exploiting implicit feedback for building personalized news radio. CIKM Yanan Xie, Liang Chen, Kunyang Jia, Lichuan Ji, Jian Wu
2012	J	`jnl`	Composite Service Recommendation Based on Bayes Theorem. Int. J. Web Serv. Res. Jian Wu, Liang Chen, Hengyi Jian, Zhaohui Wu
2012	—	`conf`	MapReduce Based Skyline Services Selection for QoS-aware Composition. IPDPS Workshops Liang Chen, Li Kuang, Jian Wu
2012	—	`conf`	MapReduce Skyline Query Processing with a New Angular Partitioning Approach. IPDPS Workshops Liang Chen, Kai Hwang, Jian Wu
2012	—	`conf`	Titan: a system for effective web service discovery. WWW (Companion Volume) Jian Wu, Liang Chen, Yanan Xie, Zibin Zheng
2012	A	`conf`	WSCRec: Utilizing Historical Information to Facilitate Web Service Composition. ICWS Liang Chen, Hengyi Jian, Jian Wu
2012	A	`conf`	WSTRank: Ranking Tags to Facilitate Web Service Mining. ICSOC Liang Chen, Zibin Zheng, Yipeng Feng, Jian Wu, Michael R. Lyu
2011	—	`conf`	An Enhanced QoS Prediction Approach for Service Selection. IEEE SCC Liang Chen, Yipeng Feng, Jian Wu, Zibin Zheng
2011	—	`conf`	CBBCM: Clustering Based Automatic Service Composition. IEEE SCC Ying Ma, Liang Chen, Jian Hui, Jian Wu
2011	—	`conf`	QoS-Based Distributed Service Selection in Large-Scale Web Services. IEEE SCC Limin Pan, Liang Chen, Jian Hui, Jian Wu
2011	A	`conf`	WTCluster: Utilizing Tags for Web Services Clustering. ICSOC Liang Chen, Liukai Hu, Zibin Zheng, Jian Wu, Jianwei Yin, Ying Li, Shuiguang Deng
2010	A	`conf`	Recommendation on Uncertain Services. ICWS Liang Chen, Jian Wu, Ru Jia, Shuiguang Deng, Ying Li
2010	B	`conf`	Service Recommendation: Similarity-Based Representative Skyline. SERVICES Liang Chen, Jian Wu, Shuiguang Deng, Ying Li