Recommendation on Uncertain Services. - Liang Chen 001; Jian Wu 001; Ru Jia; ShuiGuang Deng; Ying Li 001 (ICWS, 2010)

Service Recommendation: Similarity-Based Representative Skyline. - Liang Chen 001; Jian Wu 001; ShuiGuang Deng; Ying Li 001 (SERVICES, 2010)

An Enhanced QoS Prediction Approach for Service Selection. - Liang Chen 001; Yipeng Feng; Jian Wu 001; Zibin Zheng (IEEE SCC, 2011)

CBBCM: Clustering Based Automatic Service Composition. - Ying Ma; Liang Chen 001; Jian Hui; Jian Wu 001 (IEEE SCC, 2011)

QoS-Based Distributed Service Selection in Large-Scale Web Services. - Limin Pan; Liang Chen 001; Jian Hui; Jian Wu 001 (IEEE SCC, 2011)

WTCluster: Utilizing Tags for Web Services Clustering. - Liang Chen 001; Liukai Hu; Zibin Zheng; Jian Wu 001; Jianwei Yin; Ying Li 001; ShuiGuang Deng (ICSOC, 2011)

WSTRank: Ranking Tags to Facilitate Web Service Mining. - Liang Chen 001; Zibin Zheng; Yipeng Feng; Jian Wu 001; Michael R. Lyu (ICSOC, 2012)

WSCRec: Utilizing Historical Information to Facilitate Web Service Composition. - Liang Chen 001; Hengyi Jian; Jian Wu 001 (ICWS, 2012)

MapReduce Skyline Query Processing with a New Angular Partitioning Approach. - Liang Chen 001; Kai Hwang 001; Jian Wu 001 (IPDPS Workshops, 2012)

MapReduce Based Skyline Services Selection for QoS-aware Composition. - Liang Chen 001; Li Kuang; Jian Wu 001 (IPDPS Workshops, 2012)

Titan: a system for effective web service discovery. - Jian Wu 001; Liang Chen 001; Yanan Xie; Zibin Zheng (WWW (Companion Volume), 2012)

Composite Service Recommendation Based on Bayes Theorem. - Jian Wu 001; Liang Chen 001; Hengyi Jian; Zhaohui Wu 001 (Int. J. Web Serv. Res., 2012)

Full Recognition of Massive Products Based on Property Set. - Li Kuang; Liang Chen 001; Yanan Xie; Jian Wu 001 (BigData Congress, 2013)

Content-boosted maximum margin matrix factorization for Flickr group recommendation. - Yilun Wang; Liang Chen 001; Jian Wu 001 (DUBMOD@CIKM, 2013)

iNewsBox: modeling and exploiting implicit feedback for building personalized news radio. - Yanan Xie; Liang Chen 001; Kunyang Jia; Lichuan Ji; Jian Wu 001 (CIKM, 2013)

WT-LDA: User Tagging Augmented LDA for Web Service Clustering. - Liang Chen 001; Yilun Wang; Qi Yu 001; Zibin Zheng; Jian Wu 001 (ICSOC, 2013)

A Semantic-Based Dual Caching System for Nomadic Web Service. - Panpan Han; Liang Chen 001; Jian Wu 001 (PAKDD Workshops, 2013)

FTCRank: Ranking Components for Building Highly Reliable Cloud Applications. - Hanze Xu; Yanan Xie; Dinglong Duan; Liang Chen 001; Jian Wu 001 (PAKDD Workshops, 2013)

Collaborative QoS Prediction via Feedback-Based Trust Model. - Liang Chen 001; Yipeng Feng; Jian Wu 001 (SOCA, 2013)

Collaborative QoS Prediction via Matrix Factorization and Topic Model. - Tingting Liang; Lichuan Ji; Liang Chen 001; Jian Wu 001; Zhaohui Wu 001 (SOCA, 2013)

Selecting skyline services for QoS-aware composition by upgrading MapReduce paradigm. - Jian Wu 001; Liang Chen 001; Qi Yu 001; Li Kuang; Yilun Wang; Zhaohui Wu 001 (Clust. Comput., 2013)

Predicting Quality of Service for Selection by Neighborhood-Based Collaborative Filtering. - Jian Wu 001; Liang Chen 001; Yipeng Feng; Zibin Zheng; MengChu Zhou; Zhaohui Wu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2013)

DUBMOD14 - International Workshop on Data-driven User Behavioral Modeling and Mining from Social Media. - Jalal Mahmud; Jeffrey Nichols 001; Michelle X. Zhou; James Caverlee; Yi Zeng 001; Liang Chen 001; John O'Donovan (CIKM, 2014)

Data Augmented Maximum Margin Matrix Factorization for Flickr Group Recommendation. - Liang Chen 001; Yilun Wang; Tingting Liang; Lichuan Ji; Jian Wu 001 (PAKDD (1), 2014)

Co-Clustering WSDL Documents to Bootstrap Service Discovery. - Tingting Liang; Liang Chen 001; Haochao Ying; Jian Wu 001 (SOCA, 2014)

Modelling and exploring historical records to facilitate service composition. - Jian Wu 001; Liang Chen 001; Yanan Xie; Lichuan Ji; Zhaohui Wu 001 (Int. J. Web Grid Serv., 2014)

A Trust-Aware Search Engine for Complex Service Computing. - Mingdong Tang; Zibin Zheng; Liang Chen 001; Jianxun Liu 001; Buqing Cao; Zhengguang You (Int. J. Web Serv. Res., 2014)

Modeling and exploiting tag relevance for Web service mining. - Liang Chen 001; Jian Wu 001; Zibin Zheng; Michael R. Lyu; Zhaohui Wu 001 (Knowl. Inf. Syst., 2014)

Clustering Web services to facilitate service discovery. - Jian Wu 001; Liang Chen 001; Zibin Zheng; Michael R. Lyu; Zhaohui Wu 001 (Knowl. Inf. Syst., 2014)

Instant Recommendation for Web Services Composition. - Liang Chen 001; Jian Wu 001; Hengyi Jian; Hongbo Deng; Zhaohui Wu 001 (IEEE Trans. Serv. Comput., 2014)

Crowdsourcing Based API Search via Leveraging Twitter Lists Information. - Tingting Liang; Liang Chen 001; Haochao Ying; Zibin Zheng; Jian Wu 001 (ICDM Workshops, 2015)

CASE: A Platform for Crowdsourcing Based API Search. - Tingting Liang; Liang Chen 001; Zhining Xie; Wei Yang; Jian Wu 001 (ICSOC, 2015)

WS-HFS: A Heterogeneous Feature Selection Framework for Web Services Mining. - Liang Chen 001; Qi Yu 001; Philip S. Yu; Jian Wu 001 (ICWS, 2015)

Manifold-Learning Based API Recommendation for Mashup Creation. - Wei Gao 001; Liang Chen 001; Jian Wu 001; Honghao Gao (ICWS, 2015)

Time-Aware API Popularity Prediction via Heterogeneous Features. - Yao Wan 001; Liang Chen 001; Jian Wu 001; Qi Yu 001 (ICWS, 2015)

Learning Sparse Functional Factors for Large-Scale Service Clustering. - Qi Yu 001; Hongbing Wang; Liang Chen 001 (ICWS, 2015)

Trust-aware media recommendation in heterogeneous social networks. - Jian Wu 001; Liang Chen 001; Qi Yu 001; Panpan Han; Zhaohui Wu 001 (World Wide Web, 2015)

EARec: leveraging expertise and authority for pull-request reviewer recommendation in GitHub. - Haochao Ying; Liang Chen 001; Tingting Liang; Jian Wu 001 (CSI-SE@ICSE, 2016)

Personalized API Recommendation via Implicit Preference Modeling. - Wei Gao 001; Liang Chen 001; Jian Wu 001; Hai Dong; Athman Bouguettaya (ICSOC, 2016)

Service Mining for Internet of Things. - Bing Huang; Athman Bouguettaya; Hai Dong; Liang Chen 001 (ICSOC, 2016)

Meta-Path Based Service Recommendation in Heterogeneous Information Networks. - Tingting Liang; Liang Chen 001; Jian Wu 001; Hai Dong; Athman Bouguettaya (ICSOC, 2016)

Joint Modeling Users, Services, Mashups, and Topics for Service Recommendation. - Wei Gao 001; Liang Chen 001; Jian Wu 001; Athman Bouguettaya (ICWS, 2016)

Exploiting Heterogeneous Information for Tag Recommendation in API Management. - Tingting Liang; Liang Chen 001; Jian Wu 001; Athman Bouguettaya (ICWS, 2016)

Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization. - Yao Wan 001; Liang Chen 001; Qi Yu 001; Tingting Liang; Jian Wu 001 (PAKDD (1), 2016)

Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback. - Haochao Ying; Liang Chen 001; Yuwen Xiong; Jian Wu 001 (PAKDD (2), 2016)

Temporal Pattern Based QoS Prediction. - Liang Chen 001; Haochao Ying; Qibo Qiu; Jian Wu 001; Hai Dong; Athman Bouguettaya (WISE (2), 2016)

PGRank: Personalized Geographical Ranking for Point-of-Interest Recommendation. - Haochao Ying; Liang Chen 001; Yuwen Xiong; Jian Wu 001 (WWW (Companion Volume), 2016)

Modern Service Industry and Crossover Services: Development and Trends in China. - Zhaohui Wu 001; Jianwei Yin; ShuiGuang Deng; Jian Wu 001; Ying Li 001; Liang Chen 001 (IEEE Trans. Serv. Comput., 2016)

Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation. - Hongzhi Yin; Liang Chen 001; Weiqing Wang 001; Xingzhong Du; Nguyen Quoc Viet Hung; Xiaofang Zhou 001 (ICDE, 2017)

A Broad Learning Approach for Context-Aware Mobile Application Recommendation. - Tingting Liang; Lifang He 001; Chun-Ta Lu; Liang Chen 001; Philip S. Yu; Jian Wu 001 (ICDM, 2017)

An Embedding Based Factorization Machine Approach for Web Service QoS Prediction. - Yaoming Wu; Fenfang Xie; Liang Chen 001; Chuan Chen 001; Zibin Zheng (ICSOC, 2017)

Mobile Application Rating Prediction via Feature-Oriented Matrix Factorization. - Tingting Liang; Liang Chen 001; Xingde Ying; Philip S. Yu; Jian Wu 001; Zibin Zheng (ICWS, 2017)

Exploiting Geographical Location for Team Formation in Social Coding Sites. - Yuqiang Han; Yao Wan 001; Liang Chen 001; Guandong Xu; Jian Wu 001 (PAKDD (1), 2017)

A service computing manifesto: the next 10 years. - Athman Bouguettaya; Munindar P. Singh; Michael N. Huhns; Quan Z. Sheng; Hai Dong; Qi Yu 001; Azadeh Ghari Neiat; Sajib Mistry; Boualem Benatallah; Brahim Medjahed; Mourad Ouzzani; Fabio Casati; et al. (Commun. ACM, 2017)

Extracting Core Users Based on Features of Users and Their Relationships in Recommender Systems. - Li Kuang; Gaofeng Cao; Liang Chen 001 (Int. J. Web Serv. Res., 2017)

Heterogeneous Neural Attentive Factorization Machine for Rating Prediction. - Liang Chen 001; Yang Liu 245; Zibin Zheng; Philip S. Yu (CIKM, 2018)

Learning Semantic Representations for Unsupervised Domain Adaptation. - Shaoan Xie; Zibin Zheng; Liang Chen 001; Chuan Chen 001 (ICML, 2018)

Group preference based API recommendation via heterogeneous information network. - Fenfang Xie; Liang Chen 001; Dongding Lin; Chuan Chen 001; Zibin Zheng; Xiaola Lin (ICSE (Companion Volume), 2018)

Two-Phase Web Service QoS Prediction with Restricted Boltzmann Machine. - Lu Chen; Yuyu Yin; Yueshen Xu; Liang Chen 001; Jian Wan 001 (ICSOC, 2018)

Software Service Recommendation Base on Collaborative Filtering Neural Network Model. - Liang Chen 001; Angyu Zheng; Yinglan Feng; Fenfang Xie; Zibin Zheng (ICSOC, 2018)

A Weighted Meta-graph Based Approach for Mobile Application Recommendation on Heterogeneous Information Networks. - Fenfang Xie; Liang Chen 001; Yongjian Ye; Yang Liu 245; Zibin Zheng; Xiaola Lin (ICSOC, 2018)

Factorization Machine Based Service Recommendation on Heterogeneous Information Networks. - Fenfang Xie; Liang Chen 001; Yongjian Ye; Zibin Zheng; Xiaola Lin (ICWS, 2018)

Exploiting cross-source knowledge for warming up community question answering services. - Yao Wan 001; Guandong Xu; Liang Chen 001; Zhou Zhao 001; Jian Wu 001 (Neurocomputing, 2018)

Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system. - Hongzhi Yin; Weiqing Wang 001; Liang Chen 001; Xingzhong Du; Quoc Viet Hung Nguyen; Zi Huang (Knowl. Based Syst., 2018)

SCSMiner: mining social coding sites for software developer recommendation with relevance propagation. - Yao Wan 001; Liang Chen 001; Guandong Xu; Zhou Zhao 001; Jie Tang 001; Jian Wu 001 (World Wide Web, 2018)

Learning Region Similarity over Spatial Knowledge Graphs with Hierarchical Types and Semantic Relations. - Xiongnan Jin; Byungkook Oh; Sanghak Lee; Dongho Lee; Kyong-Ho Lee; Liang Chen 001 (CIKM, 2019)

Generative Adversarial Network Based Service Recommendation in Heterogeneous Information Networks. - Fenfang Xie; Shenghui Li; Liang Chen 001; Yangjun Xu; Zibin Zheng (ICWS, 2019)

Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network. - Liang Chen 001; Yang Liu 245; Xiangnan He 001; Lianli Gao; Zibin Zheng (IJCAI, 2019)

AC-Net: Assessing the Consistency of Description and Permission in Android Apps. - Yinglan Feng; Liang Chen 001; Angyu Zheng; Cuiyun Gao 001; Zibin Zheng (IEEE Access, 2019)

Personalized Service Recommendation With Mashup Group Preference in Heterogeneous Information Network. - Fenfang Xie; Liang Chen 001; Dongding Lin; Zibin Zheng; Xiaola Lin (IEEE Access, 2019)

Predicting Quality of Service via Leveraging Location Information. - Liang Chen 001; Fenfang Xie; Zibin Zheng; Yaoming Wu (Complex., 2019)

SMS: A Framework for Service Discovery by Incorporating Social Media Information. - Tingting Liang; Liang Chen 001; Jian Wu 001; Guandong Xu; Zhaohui Wu 001 (IEEE Trans. Serv. Comput., 2019)

Graph Neural Network and Multi-view Learning Based Mobile Application Recommendation in Heterogeneous Graphs. - Fenfang Xie; Zengxu Cao; Yangjun Xu; Liang Chen 001; Zibin Zheng (SCC, 2020)

Personalized Bundle Recommendation in Online Games. - Qilin Deng; Kai Wang 064; Minghao Zhao 002; Zhene Zou; Runze Wu 001; Jianrong Tao; Changjie Fan; Liang Chen 001 (CIKM, 2020)

Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation. - Kai Wang 064; Hao Li; Linxia Gong; Jianrong Tao; Runze Wu 001; Changjie Fan; Liang Chen 001; Peng Cui 001 (CIKM, 2020)

Deep Behavior Tracing with Multi-level Temporality Preserved Embedding. - Runze Wu 001; Hao Deng; Jianrong Tao; Changjie Fan; Qi Liu 003; Liang Chen 001 (CIKM, 2020)

Ensembled CTR Prediction via Knowledge Distillation. - Jieming Zhu; Jinyang Liu 002; Weiqi Li; Jincai Lai; Xiuqiang He 001; Liang Chen 001; Zibin Zheng (CIKM, 2020)

Keep You from Leaving: Churn Prediction in Online Games. - Angyu Zheng; Liang Chen 001; Fenfang Xie; Jianrong Tao; Changjie Fan; Zibin Zheng (DASFAA (2), 2020)

Abstract Interpretation Based Robustness Certification for Graph Convolutional Networks. - Yang Liu 245; Jiaying Peng; Liang Chen 001; Zibin Zheng (ECAI, 2020)

Directional Adversarial Training for Recommender Systems. - Yangjun Xu; Liang Chen 001; Fenfang Xie; Weibo Hu; Jieming Zhu; Chuan Chen 001; Zibin Zheng (ECAI, 2020)

Deep Insights into Graph Adversarial Learning: An Empirical Study Perspective. - Jintang Li; Zishan Gu; Qibiao Peng; Kun Xu; Liang Chen 001; Zibin Zheng (HBAI@IJCAI, 2020)

Interactive Path Reasoning on Graph for Conversational Recommendation. - Wenqiang Lei; Gangyi Zhang; Xiangnan He 001; Yisong Miao; Xiang Wang 010; Liang Chen 001; Tat-Seng Chua (KDD, 2020)

Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines. - Yang Liu 245; Xianzhuo Xia; Liang Chen 001; Xiangnan He 001; Carl Yang 001; Zibin Zheng (SIGIR, 2020)

Friend Recommendation Based on Multi-Social Graph Convolutional Network. - Liang Chen 001; Yuanzhen Xie; Zibin Zheng; Huayou Zheng; Jingdun Xie (IEEE Access, 2020)

A Survey of Adversarial Learning on Graphs. - Liang Chen 001; Jintang Li; Jiaying Peng; Tao Xie; Zengxu Cao; Kun Xu; Xiangnan He 001; Zibin Zheng (CoRR, 2020)

Real-Time Fault Detection for IIoT Facilities Using GBRBM-Based DNN. - Huakun Huang; Shuxue Ding; Lingjun Zhao; Huawei Huang; Liang Chen 001; Honghao Gao; Syed Hassan Ahmed (IEEE Internet Things J., 2020)

CAMAR: a broad learning based context-aware recommender for mobile applications. - Tingting Liang; Lifang He 001; Chun-Ta Lu; Liang Chen 001; Haochao Ying; Philip S. Yu; Jian Wu 001 (Knowl. Inf. Syst., 2020)

Multi-view factorization machines for mobile app recommendation based on hierarchical attention. - Tingting Liang; Lei Zheng 001; Liang Chen 001; Yao Wan 001; Philip S. Yu; Jian Wu 001 (Knowl. Based Syst., 2020)

ATM: An Attentive Translation Model for Next-Item Recommendation. - Bin Wu 019; Xiangnan He 001; Zhongchuan Sun; Liang Chen 001; Yangdong Ye (IEEE Trans. Ind. Informatics, 2020)

Incorporating geographical location for team formation in social coding sites. - Liang Chen 001; Yongjian Ye; Angyu Zheng; Fenfang Xie; Zibin Zheng; Michael R. Lyu (World Wide Web, 2020)

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation. - Kai Wang 064; Zhene Zou; Qilin Deng; Jianrong Tao; Runze Wu 001; Changjie Fan; Liang Chen 001; Peng Cui 001 (AAAI, 2021)

Expanding Relationship for Cross Domain Recommendation. - Kun Xu; Yuanzhen Xie; Liang Chen 001; Zibin Zheng (CIKM, 2021)

Sequential Recommendation on Dynamic Heterogeneous Information Network. - Tao Xie; Yangjun Xu; Liang Chen 001; Yang Liu 245; Zibin Zheng (ICDE, 2021)

GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software. - Jintang Li; Kun Xu; Liang Chen 001; Zibin Zheng; Xiao Liu 004 (ICSE (Companion Volume), 2021)

Understanding Structural Vulnerability in Graph Convolutional Networks. - Liang Chen 001; Jintang Li; Qibiao Peng; Yang Liu 245; Zibin Zheng; Carl Yang 001 (IJCAI, 2021)

Secure Deep Graph Generation with Link Differential Privacy. - Carl Yang 001; Haonan Wang; Ke Zhang; Liang Chen 001; Lichao Sun 001 (IJCAI, 2021)

AutoDebias: Learning to Debias for Recommendation. - Jiawei Chen 007; Hande Dong; Yang Qiu; Xiangnan He 001; Xin Xin 003; Liang Chen 001; Guli Lin; Keping Yang (SIGIR, 2021)

Self-supervised Graph Learning for Recommendation. - Jiancan Wu; Xiang Wang 010; Fuli Feng; Xiangnan He 001; Liang Chen 001; Jianxun Lian; Xing Xie 001 (SIGIR, 2021)

Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network. - Yuanzhen Xie; Zijing Ou; Liang Chen 001; Yang Liu 245; Kun Xu; Carl Yang 001; Zibin Zheng (WSDM, 2021)

DGCN: Diversified Recommendation with Graph Convolutional Networks. - Yu Zheng 010; Chen Gao 001; Liang Chen 001; Depeng Jin; Yong Li 008 (WWW, 2021)

Mobile app recommendation via heterogeneous graph neural network in edge computing. - Tingting Liang; Xuan Sheng; Li Zhou 008; Youhuizi Li; Honghao Gao; Yuyu Yin; Liang Chen 001 (Appl. Soft Comput., 2021)

Data poisoning attacks on neighborhood-based recommender systems. - Liang Chen 001; Yangjun Xu; Fenfang Xie; Min Huang; Zibin Zheng (Trans. Emerg. Telecommun. Technol., 2021)

Attentive Meta-graph Embedding for item Recommendation in heterogeneous information networks. - Fenfang Xie; Angyu Zheng; Liang Chen 001; Zibin Zheng (Knowl. Based Syst., 2021)

Phishing Scams Detection in Ethereum Transaction Network. - Liang Chen 001; Jiaying Peng; Yang Liu 245; Jintang Li; Fenfang Xie; Zibin Zheng (ACM Trans. Internet Techn., 2021)

Spiking Graph Convolutional Networks. - Zulun Zhu; Jiaying Peng; Jintang Li; Liang Chen 001; Qi Yu 001; Siqiang Luo (IJCAI, 2022)

Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. - Bingzhe Wu; Yatao Bian; Hengtong Zhang; Jintang Li; Junchi Yu; Liang Chen 001; Chaochao Chen 001; Junzhou Huang (KDD, 2022)

Neighboring Backdoor Attacks on Graph Convolutional Network. - Liang Chen 001; Qibiao Peng; Jintang Li; Yang Liu 245; Jiawei Chen 007; Yong Li 008; Zibin Zheng (CoRR, 2022)

Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift. - Bingzhe Wu; Jintang Li; Chengbin Hou; Guoji Fu; Yatao Bian; Liang Chen 001; Junzhou Huang (CoRR, 2022)

GUARD: Graph Universal Adversarial Defense. - Jintang Li; Jie Liao; Ruofan Wu; Liang Chen 001; Changhua Meng; Zibin Zheng; Weiqiang Wang 002 (CoRR, 2022)

FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation. - Yuansheng Wang; Wangbin Sun; Kun Xu; Zulun Zhu; Liang Chen 001; Zibin Zheng (CoRR, 2022)

A Survey of Deep Learning Models for Structural Code Understanding. - Ruoting Wu; Yuxin Zhang; Qibiao Peng; Liang Chen 001; Zibin Zheng (CoRR, 2022)

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. - Bingzhe Wu; Jintang Li; Junchi Yu; Yatao Bian; Hengtong Zhang; Chaochao Chen 001; Chengbin Hou; Guoji Fu; Liang Chen 001; Tingyang Xu; Yu Rong 001; Xiaolin Zheng; et al. (CoRR, 2022)

MaskGAE: Masked Graph Modeling Meets Graph Autoencoders. - Jintang Li; Ruofan Wu; Wangbin Sun; Liang Chen 001; Sheng Tian; Liang Zhu; Changhua Meng; Zibin Zheng; Weiqiang Wang 002 (CoRR, 2022)

Are All Edges Necessary? A Unified Framework for Graph Purification. - Zishan Gu; Jintang Li; Liang Chen 001 (CoRR, 2022)

Service recommendation through graph attention network in heterogeneous information networks. - Fenfang Xie; Yangjun Xu; Angyu Zheng; Liang Chen 001; Zibin Zheng (Int. J. Comput. Sci. Eng., 2022)

Graph Enhanced Neural Interaction Model for recommendation. - Liang Chen 001; Tao Xie; Jintang Li; Zibin Zheng (Knowl. Based Syst., 2022)

Unifying multi-associations through hypergraph for bundle recommendation. - Zhouxin Yu; Jintang Li; Liang Chen 001; Zibin Zheng (Knowl. Based Syst., 2022)

Modelling High-Order Social Relations for Item Recommendation. - Yang Liu 245; Liang Chen 001; Xiangnan He 001; Jiaying Peng; Zibin Zheng; Jie Tang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks. - Minghao Zhao 002; Qilin Deng; Kai Wang 064; Runze Wu 001; Jianrong Tao; Changjie Fan; Liang Chen 001; Peng Cui 001 (ACM Trans. Inf. Syst., 2022)

Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. - Jintang Li; Zhouxin Yu; Zulun Zhu; Liang Chen 001; Qi Yu 001; Zibin Zheng; Sheng Tian; Ruofan Wu; Changhua Meng (AAAI, 2023)

Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization. - Liang Chen 001; Hongru Wang 003; Yang Deng 002; Wai-Chung Kwan; Zezhong Wang 004; Kam-Fai Wong (ACL (Findings), 2023)

Attention Paper: How Generative AI Reshapes Digital Shadow Industry? - Qichao Wang; Huan Ma; Wentao Wei; Hangyu Li 002; Changqing Zhang; Peilin Zhao; Binwen Zhao; Bo Hu; Shu Zhang 013; Bingzhe Wu; Liang Chen 001 (ACM TUR-C, 2023)

GUARD: Graph Universal Adversarial Defense. - Jintang Li; Jie Liao; Ruofan Wu; Liang Chen 001; Zibin Zheng; Jiawang Dan; Changhua Meng; Weiqiang Wang 002 (CIKM, 2023)

SAILOR: Structural Augmentation Based Tail Node Representation Learning. - Jie Liao; Jintang Li; Liang Chen 001; Bingzhe Wu; Yatao Bian; Zibin Zheng (CIKM, 2023)

Improving Code Representation Learning via Multi-view Contrastive Graph Pooling for Abstract Syntax Tree. - Ruoting Wu; Yuxin Zhang; Liang Chen 001 (CollaborateCom (2), 2023)

Structural Adversarial Attack for Code Representation Models. - Yuxin Zhang; Ruoting Wu; Jie Liao; Liang Chen 001 (CollaborateCom (2), 2023)

Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. - Liang Chen 001; Yang Deng 002; Yatao Bian; Zeyu Qin; Bingzhe Wu; Tat-Seng Chua; Kam-Fai Wong (EMNLP, 2023)

Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration. - Yang Deng 002; Lizi Liao; Liang Chen 001; Hongru Wang 003; Wenqiang Lei; Tat-Seng Chua (EMNLP (Findings), 2023)

RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data. - Haotian Wang; Zhen Zhang 048; Mengting Hu; Qichao Wang; Liang Chen 001; Yatao Bian; Bingzhe Wu (EMNLP (Findings), 2023)

Modelling High-Order Social Relations for Item Recommendation (Extended Abstract). - Yang Liu 245; Liang Chen 001; Xiangnan He 001; Jiaying Peng; Zibin Zheng; Jie Tang 001 (ICDE, 2023)

Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. - Zishan Gu; Ke Zhang; Guangji Bai; Liang Chen 001; Liang Zhao 002; Carl Yang 001 (ICDE, 2023)

Enhancing Graph Collaborative Filtering via Neighborhood Structure Embedding. - Xinzhou Jin; Jintang Li; Yuanzhen Xie; Liang Chen 001; Beibei Kong; Lei Cheng 005; Bo Hu; Zang Li; Zibin Zheng (ICDM, 2023)

SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. - Sheng Tian; Jihai Dong; Jintang Li; Wenlong Zhao 013; Xiaolong Xu; Baokun Wang; Bowen Song; Changhua Meng; Tianyi Zhang; Liang Chen 001 (IJCAI, 2023)

What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders. - Jintang Li; Ruofan Wu; Wangbin Sun; Liang Chen 001; Sheng Tian; Liang Zhu; Changhua Meng; Zibin Zheng; Weiqiang Wang 002 (KDD, 2023)

Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. - Wei Yuan 003; Quoc Viet Hung Nguyen; Tieke He; Liang Chen 001; Hongzhi Yin (SIGIR, 2023)

Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs. - Jintang Li; Sheng Tian; Ruofan Wu; Liang Zhu; Wenlong Zhao 013; Changhua Meng; Liang Chen 001; Zibin Zheng; Hongzhi Yin (CoRR, 2023)

Attention Paper: How Generative AI Reshapes Digital Shadow Industry? - Qichao Wang; Huan Ma; Wentao Wei; Hangyu Li 002; Liang Chen 001; Peilin Zhao; Binwen Zhao; Bo Hu; Shu Zhang 013; Zibin Zheng; Bingzhe Wu (CoRR, 2023)

Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning. - Jintang Li; Wangbin Sun; Ruofan Wu; Yuchang Zhu; Liang Chen 001; Zibin Zheng (CoRR, 2023)

Meta Semantic Template for Evaluation of Large Language Models. - Yachuan Liu; Liang Chen 001; Jindong Wang 001; Qiaozhu Mei; Xing Xie 001 (CoRR, 2023)

Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs. - Jintang Li; Zheng Wei; Jiawang Dan; Jing Zhou; Yuchang Zhu; Ruofan Wu; Baokun Wang; Zhang Zhen; Changhua Meng; Hong Jin; Zibin Zheng; Liang Chen 001 (CoRR, 2023)

Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale. - Qichao Wang; Tian Bian; Yian Yin; Tingyang Xu; Hong Cheng 001; Helen M. Meng; Zibin Zheng; Liang Chen 001; Bingzhe Wu (CoRR, 2023)

X-Mark: Towards Lossless Watermarking Through Lexical Redundancy. - Liang Chen 001; Yatao Bian; Yang Deng 002; Shuaiyi Li; Bingzhe Wu; Peilin Zhao; Kam-Fai Wong (CoRR, 2023)

LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning. - Jintang Li; Jiawang Dan; Ruofan Wu; Jing Zhou; Sheng Tian; Yunfei Liu; Baokun Wang; Changhua Meng; Weiqiang Wang 002; Yuchang Zhu; Liang Chen 001; Zibin Zheng (CoRR, 2023)

A Survey of the Evolution of Language Model-Based Dialogue Systems. - Hongru Wang 003; Lingzhi Wang 001; Yiming Du; Liang Chen 001; Jingyan Zhou; Yufei Wang 005; Kam-Fai Wong (CoRR, 2023)

Adversarial Attack on Large Scale Graph. - Jintang Li; Tao Xie; Liang Chen 001; Fenfang Xie; Xiangnan He 001; Zibin Zheng (IEEE Trans. Knowl. Data Eng., 2023)

Selecting reliable blockchain peers via hybrid blockchain reliability prediction. - Peilin Zheng; Zibin Zheng; Liang Chen 001 (IET Softw., 2023)

Spectral Adversarial Training for Robust Graph Neural Network. - Jintang Li; Jiaying Peng; Liang Chen 001; Zibin Zheng; Tingting Liang; Qing Ling 001 (IEEE Trans. Knowl. Data Eng., 2023)

Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network. - Tingting Liang; Congying Xia; Haoran Xu; Ziqiang Zhao; Yuyu Yin; Liang Chen 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

WatME: Towards Lossless Watermarking Through Lexical Redundancy. - Liang Chen 001; Yatao Bian; Yang Deng 002; Deng Cai 002; Shuaiyi Li; Peilin Zhao; Kam-Fai Wong (ACL (1), 2024)

Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm. - Yuanzhen Xie; Xinzhou Jin; Tao Xie; Mingxiong Lin; Liang Chen 001; Chenyun Yu; Cheng Lei; Chengxiang Zhuo; Bo Hu; Zang Li (ACL (Findings), 2024)

Consecutive Batch Model Editing with HooK Layers. - Shuaiyi Li; Yang Deng 002; Deng Cai 002; Hongyuan Lu; Liang Chen 001; Wai Lam (EMNLP, 2024)

A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. - Jintang Li; Huizhe Zhang; Ruofan Wu; Zulun Zhu; Baokun Wang; Changhua Meng; Zibin Zheng; Liang Chen 001 (ICLR, 2024)

Parameter-Efficient Fine-Tuning with Discrete Fourier Transform. - Ziqi Gao; Qichao Wang; Aochuan Chen; Zijing Liu; Bingzhe Wu; Liang Chen 001; Jia Li 009 (ICML, 2024)

Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. - Yunfei Liu; Jintang Li; Yuehe Chen; Ruofan Wu; Ericbk Wang; Jing Zhou; Sheng Tian; Shuheng Shen; Xing Fu; Changhua Meng; Weiqiang Wang 002; Liang Chen 001 (KDD, 2024)

One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes. - Yuchang Zhu; Jintang Li; Yatao Bian; Zibin Zheng; Liang Chen 001 (KDD, 2024)

SELF-GUARD: Empower the LLM to Safeguard Itself. - Zezhong Wang 004; Fangkai Yang; Lu Wang 029; Pu Zhao 004; Hongru Wang 003; Liang Chen 001; Qingwei Lin; Kam-Fai Wong (NAACL-HLT, 2024)

State Space Models on Temporal Graphs: A First-Principles Study. - Jintang Li; Ruofan Wu; Xinzhou Jin; Boqun Ma; Liang Chen 001; Zibin Zheng (NeurIPS, 2024)

Rethinking and Simplifying Bootstrapped Graph Latents. - Wangbin Sun; Jintang Li; Liang Chen 001; Bingzhe Wu; Yatao Bian; Zibin Zheng (WSDM, 2024)

The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation. - Yuchang Zhu; Jintang Li; Liang Chen 001; Zibin Zheng (WSDM, 2024)

Fair Graph Representation Learning via Sensitive Attribute Disentanglement. - Yuchang Zhu; Jintang Li; Zibin Zheng; Liang Chen 001 (WWW, 2024)

Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm. - Yuanzhen Xie; Xinzhou Jin; Tao Xie; Mingxiong Lin; Liang Chen 001; Chenyun Yu; Lei Cheng 005; Chengxiang Zhuo; Bo Hu; Zang Li (CoRR, 2024)

Consecutive Model Editing with Batch alongside HooK Layers. - Shuaiyi Li; Yang Deng 002; Deng Cai 002; Hongyuan Lu; Liang Chen 001; Wai Lam (CoRR, 2024)

SGHormer: An Energy-Saving Graph Transformer Driven by Spikes. - Huizhe Zhang; Jintang Li; Liang Chen 001; Zibin Zheng (CoRR, 2024)

L2CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering. - Xinzhou Jin; Jintang Li; Liang Chen 001; Chenyun Yu; Yuanzhen Xie; Tao Xie; Chengxiang Zhuo; Zang Li; Zibin Zheng (CoRR, 2024)

Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective. - Jintang Li; Ruofan Wu; Yuchang Zhu; Huizhe Zhang; Xinzhou Jin; Guibin Zhang; Zulun Zhu; Zibin Zheng; Liang Chen 001 (CoRR, 2024)

A Review-Level Sentiment Information Enhanced Multitask Learning Approach for Explainable Recommendation. - Fenfang Xie; Yuansheng Wang; Kun Xu; Liang Chen 001; Zibin Zheng; Mingdong Tang (IEEE Trans. Comput. Soc. Syst., 2024)

FairAGG: Toward Fair Graph Neural Networks via Fair Aggregation. - Yuchang Zhu; Jintang Li; Liang Chen 001; Zibin Zheng (IEEE Trans. Comput. Soc. Syst., 2024)

Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks. - Fenfang Xie; Angyu Zheng; Liang Chen 001; Zibin Zheng; Mingdong Tang (Connect. Sci., 2024)

PEARL: Towards Permutation-Resilient LLMs. - Liang Chen 001; Li Shen 008; Yang Deng 002; Xiaoyan Zhao 005; Bin Liang 004; Kam-Fai Wong (ICLR, 2025)

Capturing latent evolution in dynamic graph: A dual-view architecture from spectral perspective. - Qianqian Chen; Jintang Li; Liang Chen 001 (Knowl. Based Syst., 2025)

Long-term evolutionary patterns matter: Self-supervised anomaly detection on dynamic graphs. - Yun Fu; Che Zhou; Jintang Li; Liang Chen 001 (Knowl. Based Syst., 2025)

FairDLA: Improving the fairness-utility trade-off in graph neural networks via dual-level alignment. - Ying Zhen; Yuchang Zhu; Jintang Li; Liang Chen 001 (Knowl. Based Syst., 2025)

Measuring Diversity in Synthetic Datasets. - Yuchang Zhu; Huizhe Zhang; Bingzhe Wu; Jintang Li; Zibin Zheng; Peilin Zhao; Liang Chen 001; Yatao Bian (CoRR, 2025)

Are Large Language Models In-Context Graph Learners? - Jintang Li; Ruofan Wu; Yuchang Zhu; Huizhe Zhang; Liang Chen 001; Zibin Zheng (CoRR, 2025)

GT-SVQ: A Linear-Time Graph Transformer for Node Classification Using Spiking Vector Quantization. - Huizhe Zhang; Jintang Li; Yuchang Zhu; Liang Chen 001; Zibin Zheng (CoRR, 2025)

NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction. - Qichao Wang; Ziqiao Meng; Wenqian Cui; Yifei Zhang; Pengcheng Wu; Bingzhe Wu; Irwin King; Liang Chen 001; Peilin Zhao (CoRR, 2025)

Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning. - Liang Chen 001; Xueting Han; Li Shen 008; Jing Bai; Kam-Fai Wong (CoRR, 2025)

SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding. - Yuchang Zhu; Jintang Li; Huizhe Zhang; Liang Chen 001; Zibin Zheng (CoRR, 2025)

What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning. - Yuchang Zhu; Huazhen Zhong; Qunshu Lin; Haotong Wei; Xiaolong Sun; Zixuan Yu; Minghao Liu; Zibin Zheng; Liang Chen 001 (CoRR, 2025)

Heterophily-Aware Representation Learning on Heterogeneous Graphs. - Jintang Li; Zheng Wei; Yuchang Zhu; Ruofan Wu; Huizhe Zhang; Liang Chen 001; Zibin Zheng (IEEE Trans. Pattern Anal. Mach. Intell., 2025)