The Reconstruction of User Sessions from a Server Log Using Improved Time-Oriented Heuristics. - Jie Zhang 002; Ali A. Ghorbani 001 (CNSR, 2004)

Familiarity and Trust: Measuring Familiarity with a Web Site. - Jie Zhang 002; Ali A. Ghorbani 001 (PST, 2004)

PENS: A Personalized Electronic News System. - Mehran Nadjarbashi-Noghani; Jie Zhang 002; Hossein Sadat; Ali A. Ghorbani 001 (CNSR, 2005)

Value-Centric Trust Model with Improved Familiarity Measurement. - Jie Zhang 002; Ali A. Ghorbani 001 (IJCAI, 2005)

Trusting advice from other buyers in e-marketplaces: the problem of unfair ratings. - Jie Zhang 002; Robin Cohen (ICEC, 2006)

A Trust Model for Sharing Ratings of Information Providers on the Semantic Web. - Jie Zhang 002; Robin Cohen (CSWWS, 2006)

An improved familiarity measurement for formalization of trust in e-commerce based multiagent systems. - Jie Zhang 002; Ali A. Ghorbani 001; Robin Cohen (PST, 2006)

Design of a Mechanism for Promoting Honesty in E-Marketplaces. - Jie Zhang 002; Robin Cohen (AAAI, 2007)

Engendering Trust in Buying and Selling Agents by Discouraging the Reporting of Unfair Ratings. - Jie Zhang 002; Robin Cohen (AAAI Spring Symposium: Interaction Challenges for Intelligent Assistants, 2007)

An incentive mechanism for eliciting fair ratings of sellers in e-marketplaces. - Jie Zhang 002; Robin Cohen (AAMAS, 2007)

GUMSAWS: A Generic User Modeling Server for Adaptive Web Systems. - Jie Zhang 002; Ali A. Ghorbani 001 (CNSR, 2007)

A Comprehensive Approach for Sharing Semantic Web Trust Ratings. - Jie Zhang 002; Robin Cohen (Comput. Intell., 2007)

A familiarity-based trust model for effective selection of sellers in multiagent e-commerce systems. - Jie Zhang 002; Ali A. Ghorbani 001; Robin Cohen (Int. J. Inf. Sec., 2007)

Seller Bidding in a Trust-Based Incentive Mechanism for Dynamic E-Marketplaces. - Jie Zhang 002; Robin Cohen (Canadian AI, 2008)

A Trust-Based Incentive Mechanism for E-Marketplaces. - Jie Zhang 002; Robin Cohen; Kate Larson (AAMAS-TRUST, 2008)

Trust Management for Host-Based Collaborative Intrusion Detection. - Carol J. Fung; Olga Baysal; Jie Zhang 002; Issam Aib; Raouf Boutaba (DSOM, 2008)

A Social Network Based Approach to Personalized Recommendation of Participatory Media Content. - Aaditeshwar Seth; Jie Zhang 002 (ICWSM, 2008)

A Detailed Comparison of Probabilistic Approaches for Coping with Unfair Ratings in Trust and Reputation Systems. - Jie Zhang 002; Murat Sensoy; Robin Cohen (PST, 2008)

Evaluating the trustworthiness of advice about seller agents in e-marketplaces: A personalized approach. - Jie Zhang 002; Robin Cohen (Electron. Commer. Res. Appl., 2008)

Robust and scalable trust management for collaborative intrusion detection. - Carol J. Fung; Jie Zhang 002; Issam Aib; Raouf Boutaba (Integrated Network Management, 2009)

Specialized Review Selection for Feature Rating Estimation. - Chong Long; Jie Zhang 002; Minlie Huang; Xiaoyan Zhu 001; Ming Li 001; Bin Ma 002 (Web Intelligence, 2009)

POYRAZ: Context-Aware Service Selection under Deception. - Murat Sensoy; Jie Zhang 002; Pinar Yolum; Robin Cohen (Comput. Intell., 2009)

Towards Effective Recommendation of Social Data across Social Networking Sites. - Yuan Wang; Jie Zhang 002; Julita Vassileva (AIMSA, 2010)

Effective acquaintance management for Collaborative Intrusion Detection Networks. - Carol J. Fung; Jie Zhang 002; Raouf Boutaba (CNSM, 2010)

A Review Selection Approach for Accurate Feature Rating Estimation. - Chong Long; Jie Zhang 002; Xiaoyan Zhu 001 (COLING (Posters), 2010)

Intelligent Agents in Mobile Vehicular Ad-Hoc Networks: Leveraging Trust Modeling Based on Direct Experience with Incentives for Honesty. - Umar Farooq Minhas; Jie Zhang 002; Thomas T. Tran; Robin Cohen (IAT, 2010)

Mechanism Design on Coursework Grading to Create Incentives for Student Learning. - Julita Vassileva; Detersa Deters; Jie Zhang 002 (ICCE, 2010)

A Framework of User-Driven Data Analytics in the Cloud for Course Management. - Jie Zhang 002; William-Chandra Tjhi; Bu-Sung Lee; Gary Kee Khoon Lee; Julita Vassileva; Chee-Kit Looi (ICCE, 2010)

Leveraging a Social Network of Trust for Promoting Honesty in E-Marketplaces. - Jie Zhang 002; Robin Cohen; Kate Larson (IFIPTM, 2010)

Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media. - Aaditeshwar Seth; Jie Zhang 002; Robin Cohen (UMAP, 2010)

Secure and Efficient Trust Opinion Aggregation for Vehicular Ad-Hoc Networks. - Chen Chen; Jie Zhang 002; Robin Cohen; Pin-Han Ho (VTC Fall, 2010)

Effective Web Service Selection via Communities Formed by Super-Agents. - Yao Wang 009; Jie Zhang 002; Julita Vassileva (Web Intelligence, 2010)

Web Service Selection for Multiple Agents with Incomplete Preferences. - Hongbing Wang; Jie Zhang 002; Cheng Wan 002; Shizhi Shao; Robin Cohen; Junjie Xu; Peicheng Li (Web Intelligence, 2010)

A Scalable and Effective Trust-Based Framework for Vehicular Ad-Hoc Networks. - Jie Zhang 002; Chen Chen; Robin Cohen (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2010)

Design of a multiagent-based e-marketplace to secure service trading on the internet. - Qin Li 017; Keith M. Martin; Jie Zhang 002 (ICEC, 2011)

An Empirical Analysis of the Impact of Online Reviews on Product Sales in the Chinese Context. - Hui Fang 002; Qinghua Zhu 002; Jie Zhang 002 (AINA, 2011)

A Survey on Trust Management for VANETs. - Jie Zhang 002 (AINA, 2011)

iCLUB: an integrated clustering-based approach to improve the robustness of reputation systems. - Siyuan Liu 003; Jie Zhang 002; Chunyan Miao; Yin Leng Theng; Alex C. Kot (AAMAS, 2011)

Asymmetric Pareto-adaptive Scheme for Multiobjective Optimization. - Siwei Jiang; Jie Zhang 002; Yew-Soon Ong (Australasian Conference on Artificial Intelligence, 2011)

The Validation of an Annotations Approach to Peer Tutoring Through Simulation Incorporating the Modeling of Reputation. - John Champaign; Robin Cohen; Jie Zhang 002 (ICCE, 2011)

Analyzing Students' Usage of E-Learning Systems in the Cloud for Course Management. - Tuan-Anh Doan; Jie Zhang 002; William-Chandra Tjhi; Bu-Sung Lee (ICCE, 2011)

Multiobjective optimization by decomposition with Pareto-adaptive weight vectors. - Siwei Jiang; Zhihua Cai; Jie Zhang 002; Yew-Soon Ong (ICNC, 2011)

Collaborative Approaches to Complementing Qualitative Preferences of Agents for Effective Service Selection. - Hongbing Wang; Jie Zhang 002; Yangyu Tang; Shizhi Shao (ICTAI, 2011)

Improving the use of advisor networks for multi-agent trust modelling. - Joshua Gorner; Jie Zhang 002; Robin Cohen (PST, 2011)

Design of a Reputation System Based on Dynamic Coalition Formation. - Yuan Liu 002; Jie Zhang 002; Quanyan Zhu (SocInfo, 2011)

A Reputation Mechanism for Virtual Reality - Five-Sense Oriented Feedback Provision and Subjectivity Alignment. - Hui Fang 002; Jie Zhang 002; Murat Sensoy; Nadia Magnenat-Thalmann (TrustCom, 2011)

IntRank: Interaction Ranking-Based Trustworthy Friend Recommendation. - Lizi Zhang; Hui Fang 002; Wee Keong Ng; Jie Zhang 002 (TrustCom, 2011)

Coping with Poor Advice from Peers in Peer-Based Intelligent Tutoring: The Case of Avoiding Bad Annotations of Learning Objects. - John Champaign; Jie Zhang 002; Robin Cohen (UMAP, 2011)

Handling Subjective User Feedback for Reputation Computation in Virtual Reality. - Hui Fang 002; Murat Sensoy; Jie Zhang 002; Nadia Magnenat-Thalmann (UMAP Workshops, 2011)

Trust, Reputation and User Modeling. - Julita Vassileva; Jie Zhang 002 (UMAP Workshops, 2011)

The Influence of Interaction Attributes on Trust in Virtual Communities. - Lizi Zhang; Cheun Pin Tan; Siyi Li; Hui Fang 002; Pramodh Rai; Yao Chen; Rohit Luthra; Wee Keong Ng; Jie Zhang 002 (UMAP Workshops, 2011)

Improving PGP Web of Trust through the Expansion of Trusted Neighborhood. - Guibing Guo; Jie Zhang 002; Julita Vassileva (Web Intelligence, 2011)

Cloud Computing. - Malek Ben Salem; Bu-Sung Lee; Jie Zhang 002 (J. Internet Serv. Inf. Secur., 2011)

Trust Management and Admission Control for Host-Based Collaborative Intrusion Detection. - Carol J. Fung; Jie Zhang 002; Issam Aib; Raouf Boutaba (J. Netw. Syst. Manag., 2011)

Dirichlet-Based Trust Management for Effective Collaborative Intrusion Detection Networks. - Carol J. Fung; Jie Zhang 002; Issam Aib; Raouf Boutaba (IEEE Trans. Netw. Serv. Manag., 2011)

A Multifaceted Approach to Modeling Agent Trust for Effective Communication in the Application of Mobile Ad Hoc Vehicular Networks. - Umar Farooq Minhas; Jie Zhang 002; Thomas T. Tran; Robin Cohen (IEEE Trans. Syst. Man Cybern. Part C, 2011)

Design of an incentive mechanism to promote honesty in e-marketplaces with limited inventory. - Yuan Liu 002; Jie Zhang 002; Qin Li 017 (ICEC, 2012)

SARC: subjectivity alignment for reputation computation. - Hui Fang 002; Jie Zhang 002; Murat Sensoy; Nadia Magnenat-Thalmann (AAMAS, 2012)

A multiagent evolutionary framework based on trust for multiobjective optimization. - Siwei Jiang; Jie Zhang 002; Yew-Soon Ong (AAMAS, 2012)

WCP-Nets: A Weighted Extension to CP-Nets for Web Service Selection. - Hongbing Wang; Jie Zhang 002; Wenlong Sun; Hongye Song; Guibing Guo; Xiang Zhou (ICSOC, 2012)

An Incentive Mechanism to Promote Honesty in E-marketplaces with Limited Inventory. - Yuan Liu 002; Jie Zhang 002; Qin Li 017 (IFIPTM, 2012)

Robustness of Trust Models and Combinations for Handling Unfair Ratings. - Lizi Zhang; Siwei Jiang; Jie Zhang 002; Wee Keong Ng (IFIPTM, 2012)

A Generalized Stereotypical Trust Model. - Hui Fang 002; Jie Zhang 002; Murat Sensoy; Nadia Magnenat-Thalmann (TrustCom, 2012)

Feedback as "Shadow of the Present": An Alternative to Reputation Systems for E-marketplaces. - Qin Li 017; Jie Zhang 002; Keith M. Martin (TrustCom, 2012)

Detecting Imprudence of 'Reliable' Sellers in Online Auction Sites. - Xin Liu 027; Anwitaman Datta; Hui Fang 002; Jie Zhang 002 (TrustCom, 2012)

Determining the Optimal Reporting Strategy in Competitive E-marketplaces. - Zeinab Noorian; Jie Zhang 002; Michael W. Fleming; Stephen Marsh 001 (TrustCom, 2012)

Reasoning about user trustworthiness with non-binary advice from peers. - John Finnson; Robin Cohen; Jie Zhang 002; Thomas T. Tran; Umar Farooq Minhas (UMAP Workshops, 2012)

A Framework for Modeling Trustworthiness of Users in Mobile Vehicular Ad-Hoc Networks and Its Validation through Simulated Traffic Flow. - John Finnson; Jie Zhang 002; Thomas T. Tran; Umar Farooq Minhas; Robin Cohen (UMAP, 2012)

A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems. - Guibing Guo; Jie Zhang 002; Daniel Thalmann (UMAP, 2012)

Towards a comprehensive testbed to evaluate the robustness of reputation systems against unfair rating attack. - Athirai Aravazhi Irissappane; Siwei Jiang; Jie Zhang 002 (UMAP Workshops, 2012)

A Context-Aware Framework for Detecting Unfair Ratings in an Unknown Real Environment. - Cheng Wan 002; Jie Zhang 002; Athirai Aravazhi Irissappane (Web Intelligence, 2012)

Service Selection Based on Similarity Measurement for Conditional Qualitative Preference. - Hongbing Wang; Jie Zhang 002; Hualan Wang; Yangyu Tang; Guibing Guo (Web Intelligence, 2012)

Combining Trust Modeling and Mechanism Design for promoting Honesty in E-Marketplaces. - Jie Zhang 002; Robin Cohen; Kate Larson (Comput. Intell., 2012)

Effective Acquaintance Management based on Bayesian Learning for Distributed Intrusion Detection Networks. - Carol J. Fung; Jie Zhang 002; Raouf Boutaba (IEEE Trans. Netw. Serv. Manag., 2012)

A Reputation-Based Announcement Scheme for VANETs. - Qin Li 017; Amizah Malip; Keith M. Martin; Siaw-Lynn Ng; Jie Zhang 002 (IEEE Trans. Veh. Technol., 2012)

A trust model stemmed from the diffusion theory for opinion evaluation. - Hui Fang 002; Jie Zhang 002; Nadia Magnenat-Thalmann (AAMAS, 2013)

An evolutionary model for constructing robust trust networks. - Siwei Jiang; Jie Zhang 002; Yew-Soon Ong (AAMAS, 2013)

Robustness evaluation of incentive mechanisms. - Yuan Liu 002; Jie Zhang 002 (AAMAS, 2013)

Uncovering collusive spammers in Chinese review websites. - Chang Xu 003; Jie Zhang 002; Kuiyu Chang; Chong Long (CIKM, 2013)

Recommending Messages to Users in Social Networks: A Cross-Site Study. - Robin Cohen; Noel Sardana; Kamal Rahim; Disney Yan Lam; M. Li; O. Maccarthy; E. Woo; Jie Zhang 002; Guibing Guo (ICMLA (2), 2013)

Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity. - Hui Fang 002; Yang Bao 001; Jie Zhang 002 (IJCAI, 2013)

A Novel Bayesian Similarity Measure for Recommender Systems. - Guibing Guo; Jie Zhang 002; Neil Yorke-Smith (IJCAI, 2013)

A Framework to Choose Trust Models for Different E-Marketplace Environments. - Athirai Aravazhi Irissappane; Siwei Jiang; Jie Zhang 002 (IJCAI, 2013)

Prior ratings: a new information source for recommender systems in e-commerce. - Guibing Guo; Jie Zhang 002; Daniel Thalmann; Neil Yorke-Smith (RecSys, 2013)

Towards effective online review systems in the Chinese context: A cross-cultural empirical study. - Hui Fang 002; Jie Zhang 002; Yang Bao 001; Qinghua Zhu 002 (Electron. Commer. Res. Appl., 2013)

Improving trust modeling through the limit of advisor network size and use of referrals. - Joshua Gorner; Jie Zhang 002; Robin Cohen (Electron. Commer. Res. Appl., 2013)

SocConnect: A personalized social network aggregator and recommender. - Jie Zhang 002; Yuan Wang; Julita Vassileva (Inf. Process. Manag., 2013)

Trust modeling for message relay control and local action decision making in VANETs. - Jie Zhang 002; Chen Chen; Robin Cohen (Secur. Commun. Networks, 2013)

A framework for trust modeling in multiagent electronic marketplaces with buying advisors to consider varying seller behavior and the limiting of seller bids. - Jie Zhang 002; Robin Cohen (ACM Trans. Intell. Syst. Technol., 2013)

Qualitative preference-based service selection for multiple agents. - Hongbing Wang; Jie Zhang 002; Cheng Wan 002; Shizhi Shao; Robin Cohen (Web Intell. Agent Syst., 2013)

TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation. - Yang Bao 001; Hui Fang 002; Jie Zhang 002 (AAAI, 2014)

Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation. - Hui Fang 002; Yang Bao 001; Jie Zhang 002 (AAAI, 2014)

RepRev: Mitigating the Negative Effects of Misreported Ratings. - Yuan Liu 002; Siyuan Liu 003; Jie Zhang 002; Hui Fang 002; Han Yu 001; Chunyan Miao (AAAI, 2014)

Reputation-Aware Continuous Double Auction. - Yuan Liu 002; Jie Zhang 002; Han Yu 001; Chunyan Miao (AAAI, 2014)

ETAF: An extended trust antecedents framework for trust prediction. - Guibing Guo; Jie Zhang 002; Daniel Thalmann; Neil Yorke-Smith (ASONAM, 2014)

Subjectivity grouping: learning from users' rating behavior. - Hui Fang 002; Jie Zhang 002; Nadia Magnenat-Thalmann (AAMAS, 2014)

A testbed to evaluate the robustness of reputation systems in e-marketplaces. - Athirai Aravazhi Irissappane; Jie Zhang 002 (AAMAS, 2014)

A biclustering-based approach to filter dishonest advisors in multi-criteria e-marketplaces. - Athirai Aravazhi Irissappane; Siwei Jiang; Jie Zhang 002 (AAMAS, 2014)

A POMDP based approach to optimally select sellers in electronic marketplaces. - Athirai Aravazhi Irissappane; Frans A. Oliehoek; Jie Zhang 002 (AAMAS, 2014)

A pheromone-based traffic management model for vehicle re-routing and traffic light control. - Siwei Jiang; Jie Zhang 002; Yew-Soon Ong (AAMAS, 2014)

A practical robustness measure of incentive mechanisms. - Yuan Liu 002; Jie Zhang 002; Bo An 001; Sandip Sen (AAMAS, 2014)

An extensive model checking framework for multi-agent systems. - Songzheng Song; Yang Liu 003; Jie Zhang 002; Jun Sun 001 (AAMAS, 2014)

On Robustness of Trust Systems. - Tim Muller; Yang Liu 003; Sjouke Mauw; Jie Zhang 002 (IFIPTM, 2014)

Exploiting Trust and Distrust Information to Combat Sybil Attack in Online Social Networks. - Huanhuan Zhang; Chang Xu 003; Jie Zhang 002 (IFIPTM, 2014)

A data-driven method for stochastic shortest path problem. - Zhiguang Cao; Hongliang Guo; Jie Zhang 002; Dusit Niyato; Ulrich Fastenrath (ITSC, 2014)

Routing multiple cars in large scale networks: Minimizing road network breakdown probability. - Hongliang Guo; Zhiguang Cao; Jie Zhang 002; Dusit Niyato; Ulrich Fastenrath (ITSC, 2014)

Privacy preserving trusted social feedback. - Anirban Basu 001; Juan Camilo Corena; Shinsaku Kiyomoto; Stephen Marsh 001; Jaideep Vaidya; Guibing Guo; Jie Zhang 002; Yutaka Miyake (SAC, 2014)

From ratings to trust: an empirical study of implicit trust in recommender systems. - Guibing Guo; Jie Zhang 002; Daniel Thalmann; Anirban Basu 001; Neil Yorke-Smith (SAC, 2014)

A multi-hop reputation announcement scheme for VANETs. - Zhiguang Cao; Qin Li 017; Hoon Wei Lim; Jie Zhang 002 (SOLI, 2014)

Towards Robust and Effective Trust Management for Security: A Survey. - Dongxia Wang 002; Tim Muller; Yang Liu 003; Jie Zhang 002 (TrustCom, 2014)

SocialTrust: Adaptive Trust Oriented Incentive Mechanism for Social Commerce. - Zeinab Noorian; Mohsen Mohkami; Yuan Liu 002; Hui Fang 002; Julita Vassileva; Jie Zhang 002 (WI-IAT (1), 2014)

Trust-oriented buyer strategies for seller reporting and selection in competitive electronic marketplaces. - Zeinab Noorian; Jie Zhang 002; Yuan Liu 002; Stephen Marsh 001; Michael W. Fleming (Auton. Agents Multi Agent Syst., 2014)

An Integrated Clustering-Based Approach to Filtering Unfair Multi-Nominal Testimonies. - Siyuan Liu 003; Jie Zhang 002; Chunyan Miao; Yin-Leng Theng; Alex C. Kot (Comput. Intell., 2014)

A Super-Agent-Based Framework for Reputation Management and Community Formation in Decentralized Systems. - Yao Wang 009; Jie Zhang 002; Julita Vassileva (Comput. Intell., 2014)

Reputation mechanism for e-commerce in virtual reality environments. - Hui Fang 002; Jie Zhang 002; Murat Sensoy; Nadia Magnenat-Thalmann (Electron. Commer. Res. Appl., 2014)

Leveraging prior ratings for recommender systems in e-commerce. - Guibing Guo; Jie Zhang 002; Daniel Thalmann; Neil Yorke-Smith (Electron. Commer. Res. Appl., 2014)

An incentive mechanism designed for e-marketplaces with limited inventory. - Yuan Liu 002; Jie Zhang 002 (Electron. Commer. Res. Appl., 2014)

Multiobjective optimization based on reputation. - Siwei Jiang; Jie Zhang 002; Yew-Soon Ong (Inf. Sci., 2014)

Estimating feature ratings through an effective review selection approach. - Chong Long; Jie Zhang 002; Minlie Huang; Xiaoyan Zhu 001; Ming Li 001; Bin Ma 002 (Knowl. Inf. Syst., 2014)

Merging trust in collaborative filtering to alleviate data sparsity and cold start. - Guibing Guo; Jie Zhang 002; Daniel Thalmann (Knowl. Based Syst., 2014)

Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization. - Siwei Jiang; Yew-Soon Ong; Jie Zhang 002; Liang Feng 001 (IEEE Trans. Cybern., 2014)

A Reputation Revision Mechanism to Mitigate the Negative Effects of Misreported Ratings. - Siyuan Liu 003; Chunyan Miao; Yuan Liu 002; Hui Fang 002; Han Yu 001; Jie Zhang 002; Yueting Chai; Cyril Leung (ICEC, 2015)

Automated Analysis of Commitment Protocols Using Probabilistic Model Checking. - Akin Günay; Songzheng Song; Yang Liu 003; Jie Zhang 002 (AAAI, 2015)

TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings. - Guibing Guo; Jie Zhang 002; Neil Yorke-Smith (AAAI, 2015)

Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach. - Bin Li; Julia Yu; Jie Zhang 002; Bin Ke (ACML, 2015)

Improving Sybil Detection via Graph Pruning and Regularization Techniques. - Huanhuan Zhang; Jie Zhang 002; Carol J. Fung; Chang Xu 003 (ACML, 2015)

The Fallacy of Endogenous Discounting of Trust Recommendations. - Tim Muller; Yang Liu 003; Jie Zhang 002 (AAMAS, 2015)

Using Information Theory to Improve the Robustness of Trust Systems. - Dongxia Wang 002; Tim Muller; Athirai Aravazhi Irissappane; Jie Zhang 002; Yang Liu 003 (AAMAS, 2015)

An Agent-based Simulation System for Dynamic Project Scheduling and Online Disruption Resolving. - Hui Xi; Chi Keong Goh; Partha Sarathi Dutta; Meng Sha; Jie Zhang 002 (AAMAS, 2015)

Towards Collusive Fraud Detection in Online Reviews. - Chang Xu 003; Jie Zhang 002 (ICDM, 2015)

Optimal and Effective Web Service Composition with Trust and User Preference. - Hongbing Wang; Bin Zou; Guibing Guo; Jie Zhang 002; Zhengping Yang (ICWS, 2015)

Secure Routing in Wireless Sensor Networks via POMDPs. - Athirai Aravazhi Irissappane; Jie Zhang 002; Frans A. Oliehoek; Partha Sarathi Dutta (IJCAI, 2015)

Quantifying Robustness of Trust Systems against Collusive Unfair Rating Attacks Using Information Theory. - Dongxia Wang 002; Tim Muller; Jie Zhang 002; Yang Liu 003 (IJCAI, 2015)

Combating Product Review Spam Campaigns via Multiple Heterogeneous Pairwise Features. - Chang Xu 003; Jie Zhang 002 (SDM, 2015)

LibRec: A Java Library for Recommender Systems. - Guibing Guo; Jie Zhang 002; Zhu Sun 001; Neil Yorke-Smith (UMAP Workshops, 2015)

Exploiting Implicit Item Relationships for Recommender Systems. - Zhu Sun 001; Guibing Guo; Jie Zhang 002 (UMAP, 2015)

Automated Agent Behavior Construction for Protocol-Based Multiagent Systems. - Akin Günay; Yang Liu 003; Jie Zhang 002; Partha Sarathi Dutta (WI-IAT (2), 2015)

An Incentive Mechanism to Elicit Truthful Opinions for Crowdsourced Multiple Choice Consensus Tasks. - Siyuan Liu 003; Chunyan Miao; Yuan Liu 002; Han Yu 001; Jie Zhang 002; Cyril Leung (WI-IAT (2), 2015)

Scaling POMDPs For Selecting Sellers in E-markets-Extended Version. - Athirai Aravazhi Irissappane; Frans A. Oliehoek; Jie Zhang 002 (CoRR, 2015)

Collaborative Security: A Survey and Taxonomy. - Guozhu Meng; Yang Liu 003; Jie Zhang 002; Alexander Pokluda; Raouf Boutaba (ACM Comput. Surv., 2015)

Multi-faceted trust and distrust prediction for recommender systems. - Hui Fang 002; Guibing Guo; Jie Zhang 002 (Decis. Support Syst., 2015)

A Case-Based Reasoning Framework to Choose Trust Models for Different E-Marketplace Environments. - Athirai Aravazhi Irissappane; Jie Zhang 002 (J. Artif. Intell. Res., 2015)

Leveraging multiviews of trust and similarity to enhance clustering-based recommender systems. - Guibing Guo; Jie Zhang 002; Neil Yorke-Smith (Knowl. Based Syst., 2015)

A priori trust inference with context-aware stereotypical deep learning. - Peng Zhou 002; Xiaojing Gu; Jie Zhang 002; Minrui Fei (Knowl. Based Syst., 2015)

A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm. - Siwei Jiang; Jie Zhang 002; Yew-Soon Ong; Allan N. Zhang; Puay Siew Tan (IEEE Trans. Cybern., 2015)

Toward Energy-Efficient Trust System Through Watchdog Optimization for WSNs. - Peng Zhou 002; Siwei Jiang; Athirai Aravazhi Irissappane; Jie Zhang 002; Jianying Zhou 001; Joseph Chee Ming Teo (IEEE Trans. Inf. Forensics Secur., 2015)

Introduction to Theme Section on Trust in Social Networks and Systems. - Timothy J. Norman; K. Suzanne Barber; Rino Falcone; Jie Zhang 002 (ACM Trans. Internet Techn., 2015)

A personalized credibility model for recommending messages in social participatory media environments. - Aaditeshwar Seth; Jie Zhang 002; Robin Cohen (World Wide Web, 2015)

Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time. - Zhiguang Cao; Hongliang Guo; Jie Zhang 002; Ulrich Fastenrath (AAAI, 2016)

Efficient Computation of Emergent Equilibrium in Agent-Based Simulation. - Zehong Hu; Meng Sha; Moath H. A. Jarrah; Jie Zhang 002; Hui Xi (AAAI, 2016)

A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs. - Athirai Aravazhi Irissappane; Frans A. Oliehoek; Jie Zhang 002 (AAAI, 2016)

Is It Harmful When Advisors Only Pretend to Be Honest? - Dongxia Wang 002; Tim Muller; Jie Zhang 002; Yang Liu 003 (AAAI, 2016)

A Language for Trust Modelling. - Tim Muller; Jie Zhang 002; Yang Liu 003 (AAMAS Workshops (Visionary Papers), 2016)

Decentralized Multi-Project Scheduling via Multi-Unit Combinatorial Auction. - Wen Song; Donghun Kang; Jie Zhang 002; Hui Xi (AAMAS, 2016)

Collusion-resistant Spatial Phenomena Crowdsourcing via Mixture of Gaussian Processes Regression. - Qikun Xiang; Ido Nevat; Pengfei Zhang 001; Jie Zhang 002 (TRUST@AAMAS, 2016)

Mystique: Evolving Android Malware for Auditing Anti-Malware Tools. - Guozhu Meng; Yinxing Xue; Mahinthan Chandramohan; Annamalai Narayanan; Yang Liu 003; Jie Zhang 002; Tieming Chen (AsiaCCS, 2016)

Limitations on Robust Ratings and Predictions. - Tim Muller; Yang Liu 003; Jie Zhang 002 (IFIPTM, 2016)

How to Use Information Theory to Mitigate Unfair Rating Attacks. - Tim Muller; Dongxia Wang 002; Yang Liu 003; Jie Zhang 002 (IFIPTM, 2016)

A Distributed and Scalable Machine Learning Approach for Big Data. - Hongliang Guo; Jie Zhang 002 (IJCAI, 2016)

Semantic modelling of Android malware for effective malware comprehension, detection, and classification. - Guozhu Meng; Yinxing Xue; Zhengzi Xu; Yang Liu 003; Jie Zhang 002; Annamalai Narayanan (ISSTA, 2016)

Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization. - Jie Yang 028; Zhu Sun 001; Alessandro Bozzon; Jie Zhang 002 (RecSys, 2016)

TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback. - Hui-Huai Qiu; Guibing Guo; Jie Zhang 002; Zhu Sun 001; Hai Thanh Nguyen 001; Yun Liu 001 (UMAP, 2016)

Effective Recommendation with Category Hierarchy. - Zhu Sun 001; Guibing Guo; Jie Zhang 002 (UMAP, 2016)

A simulation framework for measuring robustness of incentive mechanisms and its implementation in reputation systems. - Yuan Liu 002; Jie Zhang 002; Bo An 001; Sandip Sen (Auton. Agents Multi Agent Syst., 2016)

ProMoca: Probabilistic Modeling and Analysis of Agents in Commitment Protocols. - Akin Günay; Yang Liu 003; Jie Zhang 002 (J. Artif. Intell. Res., 2016)

An ontological representation for trust-based decision making in transportation environments. - Robin Cohen; John Finnson; Thomas T. Tran; Jie Zhang 002 (Multiagent Grid Syst., 2016)

Improved EGT-Based Robustness Analysis of Negotiation Strategies in Multiagent Systems via Model Checking. - Songzheng Song; Jianye Hao; Yang Liu 003; Jun Sun 001; Ho-fung Leung; Jie Zhang 002 (IEEE Trans. Hum. Mach. Syst., 2016)

Finding the Shortest Path in Stochastic Vehicle Routing: A Cardinality Minimization Approach. - Zhiguang Cao; Hongliang Guo; Jie Zhang 002; Dusit Niyato; Ulrich Fastenrath (IEEE Trans. Intell. Transp. Syst., 2016)

A Novel Recommendation Model Regularized with User Trust and Item Ratings. - Guibing Guo; Jie Zhang 002; Neil Yorke-Smith (IEEE Trans. Knowl. Data Eng., 2016)

Improving the Efficiency of Stochastic Vehicle Routing: A Partial Lagrange Multiplier Method. - Zhiguang Cao; Hongliang Guo; Jie Zhang 002; Dusit Niyato; Ulrich Fastenrath (IEEE Trans. Veh. Technol., 2016)

A Novel Evidence-Based Bayesian Similarity Measure for Recommender Systems. - Guibing Guo; Jie Zhang 002; Neil Yorke-Smith (ACM Trans. Web, 2016)

Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method. - Zhiguang Cao; Hongliang Guo; Jie Zhang 002; Frans A. Oliehoek; Ulrich Fastenrath (AAAI, 2017)

Rethinking the Link Prediction Problem in Signed Social Networks. - Xiaoming Li 003; Hui Fang 002; Jie Zhang 002 (AAAI, 2017)

A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty. - Wen Song; Donghun Kang; Jie Zhang 002; Hui Xi (AAAI, 2017)

Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation. - Zhu Sun 001; Jie Yang 028; Jie Zhang 002; Alessandro Bozzon (AAAI, 2017)

A Feature-Based Approach for the Redefined Link Prediction Problem in Signed Networks. - Xiaoming Li 003; Hui Fang 002; Jie Zhang 002 (ADMA, 2017)

Automatic Construction of Agent-based Simulation Using Business Process Diagrams and Ontology-based Models. - Donghun Kang; Zhenchao C. Bing; Wen Song; Zehong Hu; Shuo Chen 006; Jie Zhang 002; Hui Xi (AAMAS, 2017)

Proactive Project Scheduling with Time-dependent Workability Uncertainty. - Wen Song; Donghun Kang; Jie Zhang 002; Hui Xi (AAMAS, 2017)

A Trust-based Mixture of Gaussian Processes Model for Robust Participatory Sensing. - Qikun Xiang; Jie Zhang 002; Ido Nevat; Pengfei Zhang 001 (AAMAS, 2017)

Interacting Attention-gated Recurrent Networks for Recommendation. - Wenjie Pei; Jie Yang 028; Zhu Sun 001; Jie Zhang 002; Alessandro Bozzon; David M. J. Tax (CIKM, 2017)

Multi-source fusion in subjective logic. - Audun Jøsang; Dongxia Wang 002; Jie Zhang 002 (FUSION, 2017)

Multi-source trust revision. - Audun Jøsang; Jie Zhang 002; Dongxia Wang 002 (FUSION, 2017)

A Flexible Privacy-Preserving Framework for Singular Value Decomposition Under Internet of Things Environment. - Shuo Chen 006; Rongxing Lu; Jie Zhang 002 (IFIPTM, 2017)

Optimal Posted-Price Mechanism in Microtask Crowdsourcing. - Zehong Hu; Jie Zhang 002 (IJCAI, 2017)

MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation. - Zhu Sun 001; Jie Yang 028; Jie Zhang 002; Alessandro Bozzon; Yu Chen; Chi Xu (IJCAI, 2017)

A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing. - Qikun Xiang; Jie Zhang 002; Ido Nevat; Pengfei Zhang 001 (IJCAI, 2017)

Online Reputation Fraud Campaign Detection in User Ratings. - Chang Xu 003; Jie Zhang 002; Zhu Sun 001 (IJCAI, 2017)

Multiagent-based cooperative vehicle routing using node pressure and auctions. - Madhavan Seshadri; Zhiguang Cao; Hongliang Guo; Jie Zhang 002; Ulrich Fastenrath (ITSC, 2017)

Joint Subjective Opinions. - Magdalena Ivanovska; Audun Jøsang; Jie Zhang 002; Shuo Chen 006 (MDAI, 2017)

CitRec 2017: International Workshop on Recommender Systems for Citizens. - Jie Yang 028; Zhu Sun 001; Alessandro Bozzon; Jie Zhang 002; Martha A. Larson (RecSys, 2017)

Learning hierarchical category influence on both users and items for effective recommendation. - Zhu Sun 001; Guibing Guo; Jie Zhang 002 (SAC, 2017)

Aspect-aware Point-of-Interest Recommendation with Geo-Social Influence. - Qing Guo 005; Zhu Sun 001; Jie Zhang 002; Qi Chen; Yin-Leng Theng (UMAP (Adjunct Publication), 2017)

A Unified Latent Factor Model for Effective Category-Aware Recommendation. - Zhu Sun 001; Guibing Guo; Jie Zhang 002; Chi Xu (UMAP, 2017)

Filtering unfair ratings from dishonest advisors in multi-criteria e-markets: a biclustering-based approach. - Athirai Aravazhi Irissappane; Jie Zhang 002 (Auton. Agents Multi Agent Syst., 2017)

A multi-unit combinatorial auction based approach for decentralized multi-project scheduling. - Wen Song; Donghun Kang; Jie Zhang 002; Hui Xi (Auton. Agents Multi Agent Syst., 2017)

Artificial Intelligence Research in Singapore: Assisting the Development of a Smart Nation. - Pradeep Varakantham; Bo An 001; Bryan Low; Jie Zhang 002 (AI Mag., 2017)

An Efficient Fog-Assisted Unstable Sensor Detection Scheme with Privacy Preserved. - Shuo Chen 006; Rongxing Lu; Jie Zhang 002 (CoRR, 2017)

Measuring similarity of users with qualitative preferences for service selection. - Hongbing Wang; Hualan Wang; Guibing Guo; Yangyu Tang; Jie Zhang 002 (Knowl. Inf. Syst., 2017)

Factored similarity models with social trust for top-N item recommendation. - Guibing Guo; Jie Zhang 002; Feida Zhu 001; Xingwei Wang 001 (Knowl. Based Syst., 2017)

CONGRESS: A Hybrid Reputation System for Coping with Rating Subjectivity. - Yuan Liu 002; Jie Zhang 002; Quanyan Zhu; Xingwei Wang 001 (IEEE Trans. Comput. Soc. Syst., 2017)

Routing Multiple Vehicles Cooperatively: Minimizing Road Network Breakdown Probability. - Hongliang Guo; Zhiguang Cao; Madhavan Seshadri; Jie Zhang 002; Dusit Niyato; Ulrich Fastenrath (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

Auditing Anti-Malware Tools by Evolving Android Malware and Dynamic Loading Technique. - Yinxing Xue; Guozhu Meng; Yang Liu 003; Tian Huat Tan; Hongxu Chen 001; Jun Sun 001; Jie Zhang 002 (IEEE Trans. Inf. Forensics Secur., 2017)

A Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion. - Zhiguang Cao; Siwei Jiang; Jie Zhang 002; Hongliang Guo (IEEE Trans. Intell. Transp. Syst., 2017)

Integrating Trust with User Preference for Effective Web Service Composition. - Hongbing Wang; Bin Zou; Guibing Guo; Danrong Yang; Jie Zhang 002 (IEEE Trans. Serv. Comput., 2017)

Collusive Opinion Fraud Detection in Online Reviews: A Probabilistic Modeling Approach. - Chang Xu 003; Jie Zhang 002 (ACM Trans. Web, 2017)

POMDP-Based Decision Making for Fast Event Handling in VANETs. - Shuo Chen 006; Athirai Aravazhi Irissappane; Jie Zhang 002 (AAAI, 2018)

FILE: A Novel Framework for Predicting Social Status in Signed Networks. - Xiaoming Li 003; Hui Fang 002; Jie Zhang 002 (AAAI, 2018)

Risk-Aware Proactive Scheduling via Conditional Value-at-Risk. - Wen Song; Donghun Kang; Jie Zhang 002; Hui Xi (AAAI, 2018)

An Operation Network for Abstractive Sentence Compression. - Naitong Yu; Jie Zhang 002; Minlie Huang; Xiaoyan Zhu 001 (COLING, 2018)

MASA: Multi-Agent Subjectivity Alignment for Trustworthy Internet of Things. - Leonid Zeynalvand; Jie Zhang 002; Shuo Chen 006; Tony T. Luo (FUSION, 2018)

A Novel Strategy for Active Task Assignment in Crowd Labeling. - Zehong Hu; Jie Zhang 002 (IJCAI, 2018)

Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. - Zehong Hu; Yitao Liang; Jie Zhang 002; Zhao Li 007; Yang Liu 018 (NeurIPS, 2018)

Recurrent knowledge graph embedding for effective recommendation. - Zhu Sun 001; Jie Yang 028; Jie Zhang 002; Alessandro Bozzon; Long-Kai Huang; Chi Xu (RecSys, 2018)

Who is Your Best Friend?: Ranking Social Network Friends According to Trust Relationship. - Xiaoming Li 003; Hui Fang 002; Qing Yang 003; Jie Zhang 002 (UMAP, 2018)

Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. - Zehong Hu; Yitao Liang; Yang Liu 018; Jie Zhang 002 (CoRR, 2018)

A generalized stereotype learning approach and its instantiation in trust modeling. - Hui Fang 002; Jie Zhang 002; Murat Sensoy (Electron. Commer. Res. Appl., 2018)

BPRH: Bayesian personalized ranking for heterogeneous implicit feedback. - Huihuai Qiu; Yun Liu 001; Guibing Guo; Zhu Sun 001; Jie Zhang 002; Hai Thanh Nguyen 001 (Inf. Sci., 2018)

ACM UMAP 2018 - User Modeling, Adaptation and Personalization: 8-11 July, 2018 at NTU, Singapore. - Jie Zhang 002; Tanja Mitrovic; David Chin; Li Chen 009 (SIGWEB Newsl., 2018)

An agent-based simulation system for multi-project scheduling under uncertainty. - Wen Song; Hui Xi; Donghun Kang; Jie Zhang 002 (Simul. Model. Pract. Theory, 2018)

Toward General Robustness Evaluation of Incentive Mechanism Against Bounded Rationality. - Zehong Hu; Jie Zhang 002 (IEEE Trans. Comput. Soc. Syst., 2018)

A Bayesian Multiagent Trust Model for Social Networks. - Noel Sardana; Robin Cohen; Jie Zhang 002; Shuo Chen 006 (IEEE Trans. Comput. Soc. Syst., 2018)

A Multiagent-Based Approach for Vehicle Routing by Considering Both Arriving on Time and Total Travel Time. - Zhiguang Cao; Hongliang Guo; Jie Zhang 002 (ACM Trans. Intell. Syst. Technol., 2018)

General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits. - Zehong Hu; Jie Zhang 002; Zhao Li 007 (AAAI, 2019)

Supervised User Ranking in Signed Social Networks. - Xiaoming Li 003; Hui Fang 002; Jie Zhang 002 (AAAI, 2019)

Fraud Regulating Policy for E-Commerce via Constrained Contextual Bandits. - Zehong Hu; Zhen Wang 037; Zhao Li 007; Shichang Hu; Shasha Ruan; Jie Zhang 002 (AAMAS, 2019)

Exploring Communities in Large Profiled Graphs (Extended Abstract). - Yankai Chen 001; Yixiang Fang; Reynold Cheng; Yun Li; Xiaojun Chen 006; Jie Zhang 002 (ICDE, 2019)

MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification. - Monidipa Das; Mahardhika Pratama; Septiviana Savitri; Jie Zhang 002 (ICDM, 2019)

Modeling Heterogeneous Influences for Point-of-Interest Recommendation in Location-Based Social Networks. - Qing Guo 005; Zhu Sun 001; Jie Zhang 002; Yin-Leng Theng (ICWE, 2019)

ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection. - Shuo Chen 006; Ewa Andrejczuk; Athirai Aravazhi Irissappane; Jie Zhang 002 (IJCAI, 2019)

Which Channel to Ask My Question?: Personalized Customer Service Request Stream Routing Using Deep Reinforcement Learning. - Zining Liu; Chong Long; Xiaolu Lu 002; Zehong Hu; Jie Zhang 002; Yafang Wang (IEEE Access, 2019)

Attentive Knowledge Graph Embedding for Personalized Recommendation. - Xiao Sha; Zhu Sun 001; Jie Zhang 002 (CoRR, 2019)

Which Channel to Ask My Question? Personalized Customer Service RequestStream Routing using DeepReinforcement Learning. - Zining Liu; Chong Long; Xiaolu Lu 002; Zehong Hu; Jie Zhang 002; Yafang Wang (CoRR, 2019)

Learning Improvement Heuristics for Solving the Travelling Salesman Problem. - Yaoxin Wu; Wen Song; Zhiguang Cao; Jie Zhang 002; Andrew Lim 001 (CoRR, 2019)

Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems. - Wen Song; Zhiguang Cao; Jie Zhang 002; Andrew Lim 001 (CoRR, 2019)

Research commentary on recommendations with side information: A survey and research directions. - Zhu Sun 001; Qing Guo 005; Jie Yang 028; Hui Fang 002; Guibing Guo; Jie Zhang 002; Robin Burke (Electron. Commer. Res. Appl., 2019)

Improving IoT Data Quality in Mobile Crowd Sensing: A Cross Validation Approach. - Tie Luo 001; Jianwei Huang 001; Salil S. Kanhere; Jie Zhang 002; Sajal K. Das 001 (IEEE Internet Things J., 2019)

A Sampling Approach for Proactive Project Scheduling under Generalized Time-dependent Workability Uncertainty. - Wen Song; Donghun Kang; Jie Zhang 002; Zhiguang Cao; Hui Xi (J. Artif. Intell. Res., 2019)

Securing Android App Markets via Modeling and Predicting Malware Spread Between Markets. - Guozhu Meng; Matthew Patrick; Yinxing Xue; Yang Liu 003; Jie Zhang 002 (IEEE Trans. Inf. Forensics Secur., 2019)

Exploring Communities in Large Profiled Graphs. - Yankai Chen 001; Yixiang Fang; Reynold Cheng; Yun Li; Xiaojun Chen 006; Jie Zhang 002 (IEEE Trans. Knowl. Data Eng., 2019)

Introduction to the Special Section on Trust and AI. - Jie Zhang 002; Jamal Bentahar; Rino Falcone; Timothy J. Norman; Murat Sensoy (ACM Trans. Internet Techn., 2019)

AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism. - Shuo Chen 006; Ewa Andrejczuk; Zhiguang Cao; Jie Zhang 002 (AAAI, 2020)

A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario. - Monidipa Das; Mahardhika Pratama; Jie Zhang 002; Yew-Soon Ong (AAAI, 2020)

An Attentional Recurrent Neural Network for Personalized Next Location Recommendation. - Qing Guo 005; Zhu Sun 001; Jie Zhang 002; Yin-Leng Theng (AAAI, 2020)

COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment. - Leonid Zeynalvand; Tie Luo 001; Jie Zhang 002 (AAAI, 2020)

Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion. - Shen Xin; Yizhou Ye; Martin Ester; Cheng Long 001; Jie Zhang 002; Zhao Li 007; Kaiying Yuan; Yanghua Li (CIKM, 2020)

Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. - Yankai Chen 001; Jie Zhang 002; Yixiang Fang; Xin Cao 001; Irwin King (IJCAI, 2020)

An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins. - Lu Zhang 063; Zhu Sun 001; Jie Zhang 002; Yu Lei; Chen Li 047; Ziqing Wu; Horst Kloeden; Felix Klanner (IJCAI, 2020)

Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning. - Cong Zhang; Wen Song; Zhiguang Cao; Jie Zhang 002; Puay Siew Tan; Chi Xu (NeurIPS, 2020)

Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. - Zhu Sun 001; Di Yu 001; Hui Fang 002; Jie Yang 028; Xinghua Qu; Jie Zhang 002; Cong Geng (RecSys, 2020)

A Re-visit of the Popularity Baseline in Recommender Systems. - Yitong Ji; Aixin Sun; Jie Zhang 002; Chenliang Li (SIGIR, 2020)

On Offline Evaluation of Recommender Systems. - Yitong Ji; Aixin Sun; Jie Zhang 002; Chenliang Li (CoRR, 2020)

Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction. - Yanshi Wang; Jie Zhang 002; Qing Da; Anxiang Zeng (CoRR, 2020)

A 2020 perspective on "A generalized stereotype learning approach and its instantiation in trust modeling". - Hui Fang 002; Jie Zhang 002; Murat Sensoy (Electron. Commer. Res. Appl., 2020)

Modeling hierarchical category transition for next POI recommendation with uncertain check-ins. - Lu Zhang 039; Zhu Sun 001; Jie Zhang 002; Horst Kloeden; Felix Klanner (Inf. Sci., 2020)

Cost-sensitive deep forest for price prediction. - Chao Ma 006; Zhenbing Liu; Zhiguang Cao; Wen Song; Jie Zhang 002; Weiliang Zeng (Pattern Recognit., 2020)

Learning Network Representations With Different Order Structural Information. - Qidong Liu 001; Xin Zhou 008; Cheng Long 001; Jie Zhang 002; Mingliang Xu 001 (IEEE Trans. Comput. Soc. Syst., 2020)

Information Theoretical Analysis of Unfair Rating Attacks Under Subjectivity. - Dongxia Wang 002; Tim Muller; Jie Zhang 002; Yang Liu 003 (IEEE Trans. Inf. Forensics Secur., 2020)

Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract). - Danni Peng; Xiaobo Hu; Anxiang Zeng; Jie Zhang 002 (AAAI, 2021)

Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. - Liang Xin; Wen Song; Zhiguang Cao; Jie Zhang 002 (AAAI, 2021)

Solving 3D Bin Packing Problem via Multimodal Deep Reinforcement Learning. - Yuan Jiang 007; Zhiguang Cao; Jie Zhang 002 (AAMAS, 2021)

Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork. - Shi Yuan Tang; Athirai A. Irissappane; Frans A. Oliehoek; Jie Zhang 002 (AAMAS, 2021)

A Blockchain-Enabled Quantitative Approach to Trust and Reputation Management with Sparse Evidence. - Leonid Zeynalvand; Tie Luo 001; Ewa Andrejczuk; Dusit Niyato; Sin G. Teo; Jie Zhang 002 (AAMAS, 2021)

ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce. - Shen Xin; Zhao Li 007; Pengcheng Zou; Cheng Long 001; Jie Zhang 002; Jiajun Bu; Jingren Zhou 001 (ICDE, 2021)

Learning Large Neighborhood Search Policy for Integer Programming. - Yaoxin Wu; Wen Song; Zhiguang Cao; Jie Zhang 002 (NeurIPS, 2021)

NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem. - Liang Xin; Wen Song; Zhiguang Cao; Jie Zhang 002 (NeurIPS, 2021)

Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. - Danni Peng; Sinno Jialin Pan; Jie Zhang 002; Anxiang Zeng (RecSys, 2021)

Adaptive Holding for Online Bottleneck Matching with Delays. - Kaixin Wang; Cheng Long 001; Yongxin Tong; Jie Zhang 002; Yi Xu 013 (SDM, 2021)

Exploiting Human Trust to Improve Recommender Systems. - Jie Zhang 002 (UMAP (Adjunct Publication), 2021)

Hierarchical attentive knowledge graph embedding for personalized recommendation. - Xiao Sha; Zhu Sun 001; Jie Zhang 002 (Electron. Commer. Res. Appl., 2021)

Step-Wise Deep Learning Models for Solving Routing Problems. - Liang Xin; Wen Song; Zhiguang Cao; Jie Zhang 002 (IEEE Trans. Ind. Informatics, 2021)

Guest Editors' Introduction: Special Issue on Latest Developments for Security Management of Networks and Services. - Rémi Badonnel; Carol J. Fung; Sandra Scott-Hayward; Qi Li 002; Jie Zhang 002; Cristian Hesselman (IEEE Trans. Netw. Serv. Manag., 2021)

Learning to Solve Routing Problems via Distributionally Robust Optimization. - Yuan Jiang 007; Yaoxin Wu; Zhiguang Cao; Jie Zhang 002 (AAAI, 2022)

Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs. - Yaoxin Wu; Wen Song; Zhiguang Cao; Jie Zhang 002 (ICLR, 2022)

Do Loyal Users Enjoy Better Recommendations?: Understanding Recommender Accuracy from a Time Perspective. - Yitong Ji; Aixin Sun; Jie Zhang 002; Chenliang Li (ICTIR, 2022)

Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences. - Lu Zhang 063; Zhu Sun 001; Ziqing Wu; Jie Zhang 002; Yew Soon Ong; Xinghua Qu (IJCAI, 2022)

Graph Learning Assisted Multi-Objective Integer Programming. - Yaoxin Wu; Wen Song; Zhiguang Cao; Jie Zhang 002; Abhishek Gupta; Mingyan Lin (NeurIPS, 2022)

Class-Incremental Learning via Knowledge Amalgamation. - Marcus de Carvalho; Mahardhika Pratama; Jie Zhang 002; Yajuan Sun (ECML/PKDD (3), 2022)

Prototype Feature Extraction for Multi-task Learning. - Shen Xin; Yuhang Jiao 001; Cheng Long 001; Yuguang Wang; Xiaowei Wang; Sen Yang 004; Ji Liu 002; Jie Zhang 002 (WWW, 2022)

Integrating social influence modeling and user modeling for trust prediction in signed networks. - Hui Fang 002; Xiaoming Li 003; Jie Zhang 002 (Artif. Intell., 2022)

A sub-action aided deep reinforcement learning framework for latency-sensitive network slicing. - Da Xiao; Shuo Chen 006; Wei Ni 001; Jie Zhang 002; Jian (Andrew) Zhang; Ren Ping Liu (Comput. Networks, 2022)

Recommender May Not Favor Loyal Users. - Yitong Ji; Aixin Sun; Jie Zhang 002; Chenliang Li (CoRR, 2022)

A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals. - Zhu Sun 001; Yu Lei; Lu Zhang 039; Chen Li 047; Yew-Soon Ong; Jie Zhang 002 (CoRR, 2022)

Learning to Search for Job Shop Scheduling via Deep Reinforcement Learning. - Cong Zhang; Wen Song; Zhiguang Cao; Jie Zhang 002; Puay Siew Tan; Chi Xu (CoRR, 2022)

Decision-making with Imaginary Opponent Models. - Jing Sun; Shuo Chen 006; Cong Zhang; Jie Zhang 002 (CoRR, 2022)

Learning variable ordering heuristics for solving Constraint Satisfaction Problems. - Wen Song; Zhiguang Cao; Jie Zhang 002; Chi Xu; Andrew Lim 001 (Eng. Appl. Artif. Intell., 2022)

ACDC: Online unsupervised cross-domain adaptation. - Marcus de Carvalho; Mahardhika Pratama; Jie Zhang 002; Edward Kien Yee Yapp (Knowl. Based Syst., 2022)

Disentangling Multi-Facet Social Relations for Recommendation. - Xiao Sha; Zhu Sun 001; Jie Zhang 002 (IEEE Trans. Comput. Soc. Syst., 2022)

Deep Reinforcement Learning Framework for Category-Based Item Recommendation. - Mingsheng Fu; Anubha Agrawal; Athirai A. Irissappane; Jie Zhang 002; Liwei Huang; Hong Qu (IEEE Trans. Cybern., 2022)

Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem. - Jingwen Li; Yining Ma 001; Ruize Gao; Zhiguang Cao; Andrew Lim 001; Wen Song; Jie Zhang 002 (IEEE Trans. Cybern., 2022)

TriATNE: Tripartite Adversarial Training for Network Embeddings. - Qidong Liu 001; Cheng Long 001; Jie Zhang 002; Mingliang Xu 001; Pei Lv (IEEE Trans. Cybern., 2022)

GP3: Gaussian Process Path Planning for Reliable Shortest Path in Transportation Networks. - Hongliang Guo; Xuejie Hou; Zhiguang Cao; Jie Zhang 002 (IEEE Trans. Intell. Transp. Syst., 2022)

Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning. - Jingwen Li; Liang Xin; Zhiguang Cao; Andrew Lim 001; Wen Song; Jie Zhang 002 (IEEE Trans. Intell. Transp. Syst., 2022)

Point-of-Interest Recommendation for Users-Businesses With Uncertain Check-ins. - Zhu Sun 001; Chen Li 047; Yu Lei; Lu Zhang 063; Jie Zhang 002; Shunpan Liang (IEEE Trans. Knowl. Data Eng., 2022)

Learning Improvement Heuristics for Solving Routing Problems. - Yaoxin Wu; Wen Song; Zhiguang Cao; Jie Zhang 002; Andrew Lim 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

VRepChain: A Decentralized and Privacy-Preserving Reputation System for Social Internet of Vehicles Based on Blockchain. - Yuan Liu 002; Zehui Xiong; Qin Hu 001; Dusit Niyato; Jie Zhang 002; Chunyan Miao; Cyril Leung; Zhihong Tian (IEEE Trans. Veh. Technol., 2022)

Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. - Kaixin Wang; Cheng Long 001; Da Yan 001; Jie Zhang 002; H. V. Jagadish (ICDE, 2023)

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. - Jianan Zhou 002; Yaoxin Wu; Wen Song; Zhiguang Cao; Jie Zhang 002 (ICML, 2023)

Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift. - Yuan Jiang 007; Zhiguang Cao; Yaoxin Wu; Wen Song; Jie Zhang 002 (NeurIPS, 2023)

Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction. - Youchen Sun; Zhu Sun 001; Xiao Sha; Jie Zhang 002; Yew Soon Ong (RecSys, 2023)

Multi-view graph contrastive learning for solving vehicle routing problems. - Yuan Jiang 007; Zhiguang Cao; Yaoxin Wu; Jie Zhang 002 (UAI, 2023)

WSDM 2023 Workshop on Interactive Recommender Systems. - Yong Liu 020; Hao Zhang 048; Zhu Sun 001; Shoujin Wang; Jie Zhang 002 (WSDM, 2023)

Retraining A Graph-based Recommender with Interests Disentanglement. - Yitong Ji; Aixin Sun; Jie Zhang 002 (CoRR, 2023)

Enhancing Job Recommendation through LLM-based Generative Adversarial Networks. - Yingpeng Du; Di Luo; Rui Yan 001; Hongzhi Liu 001; Yang Song 021; Hengshu Zhu; Jie Zhang 002 (CoRR, 2023)

Backdooring Textual Inversion for Concept Censorship. - Yutong Wu 009; Jie Zhang 002; Florian Kerschbaum; Tianwei Zhang 004 (CoRR, 2023)

An Augmented Index-based Efficient Community Search for Large Directed Graphs. - Yankai Chen 001; Jie Zhang 002; Yixiang Fang; Xin Cao 001; Irwin King (CoRR, 2023)

A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations. - Mingsheng Fu; Liwei Huang; Ananya Rao; Athirai A. Irissappane; Jie Zhang 002; Hong Qu (IEEE Trans. Ind. Informatics, 2023)

Dynamic Opinion Maximization in Social Networks. - Qiang He 002; Hui Fang 002; Jie Zhang 002; Xingwei Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

A Critical Study on Data Leakage in Recommender System Offline Evaluation. - Yitong Ji; Aixin Sun; Jie Zhang 002; Chenliang Li (ACM Trans. Inf. Syst., 2023)

A Semi-Centralized Trust Management Model Based on Blockchain for Data Exchange in IoT System. - Yuan Liu 002; Chuang Zhang; Yu Yan; Xin Zhou 008; Zhihong Tian; Jie Zhang 002 (IEEE Trans. Serv. Comput., 2023)

Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning. - Rongkai Zhang 001; Cong Zhang; Zhiguang Cao; Wen Song; Puay Siew Tan; Jie Zhang 002; Bihan Wen; Justin Dauwels (IEEE Trans. Intell. Transp. Syst., 2023)

Learning to Solve 3-D Bin Packing Problem via Deep Reinforcement Learning and Constraint Programming. - Yuan Jiang 007; Zhiguang Cao; Jie Zhang 002 (IEEE Trans. Cybern., 2023)

SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. - Xin Zhou 008; Aixin Sun; Yong Liu 020; Jie Zhang 002; Chunyan Miao (Trans. Recomm. Syst., 2023)

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. - Zhu Sun 001; Hui Fang 002; Jie Yang 028; Xinghua Qu; Hongyang Liu; Di Yu 001; Yew-Soon Ong; Jie Zhang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. - Jianan Zhou 002; Yaoxin Wu; Zhiguang Cao; Wen Song; Jie Zhang 002; Zhenghua Chen (IEEE Trans. Knowl. Data Eng., 2023)

Teacher-apprentices RL (TARL): leveraging complex policy distribution through generative adversarial hypernetwork in reinforcement learning. - Shi Yuan Tang; Athirai A. Irissappane; Frans A. Oliehoek; Jie Zhang 002 (Auton. Agents Multi Agent Syst., 2023)

Single-Site Perishable Inventory Management Under Uncertainties: A Deep Reinforcement Learning Approach. - Kaixin Wang; Cheng Long 001; Darrell Joshua Ong; Jie Zhang 002; Xue-Ming Yuan (IEEE Trans. Knowl. Data Eng., 2023)

Conversation-Based Adaptive Relational Translation Method for Next POI Recommendation With Uncertain Check-Ins. - Lu Zhang 063; Zhu Sun 001; Jie Zhang 002; Yiwen Wu; Yunwen Xia (IEEE Trans. Neural Networks Learn. Syst., 2023)

Neural Airport Ground Handling. - Yaoxin Wu; Jianan Zhou 002; Yunwen Xia; Xianli Zhang; Zhiguang Cao; Jie Zhang 002 (IEEE Trans. Intell. Transp. Syst., 2023)

Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models. - Yihao Huang 001; Felix Juefei-Xu; Qing Guo 005; Jie Zhang 002; Yutong Wu 009; Ming Hu 003; Tianlin Li; Geguang Pu; Yang Liu 003 (AAAI, 2024)

Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks. - Yingpeng Du; Di Luo; Rui Yan 001; Xiaopei Wang; Hongzhi Liu 001; Hengshu Zhu; Yang Song 021; Jie Zhang 002 (AAAI, 2024)

2D-Ptr: 2D Array Pointer Network for Solving the Heterogeneous Capacitated Vehicle Routing Problem. - Qidong Liu 001; Chaoyue Liu 009; Shaoyao Niu; Cheng Long 001; Jie Zhang 002; Mingliang Xu 001 (AAMAS, 2024)

Towards Cross-Domain Continual Learning. - Marcus de Carvalho; Mahardhika Pratama; Jie Zhang 002; Haoyan Chua; Edward Kien Yee Yapp (ICDE, 2024)

Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling. - Cong Zhang; Zhiguang Cao; Wen Song; Yaoxin Wu; Jie Zhang 002 (ICLR, 2024)

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts. - Jianan Zhou 002; Zhiguang Cao; Yaoxin Wu; Wen Song; Yining Ma 001; Jie Zhang 002; Chi Xu (ICML, 2024)

Disentangled Multi-interest Representation Learning for Sequential Recommendation. - Yingpeng Du; Ziyan Wang; Zhu Sun 001; Yining Ma 001; Hongzhi Liu 001; Jie Zhang 002 (KDD, 2024)

Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation. - Youchen Sun; Zhu Sun 001; Yingpeng Du; Jie Zhang 002; Yew Soon Ong (KDD, 2024)

Collaboration! Towards Robust Neural Methods for Routing Problems. - Jianan Zhou 002; Yaoxin Wu; Zhiguang Cao; Wen Song; Jie Zhang 002; Zhiqi Shen 001 (NeurIPS, 2024)

Learning to Handle Complex Constraints for Vehicle Routing Problems. - Jieyi Bi; Yining Ma 001; Jianan Zhou 002; Wen Song; Zhiguang Cao; Yaoxin Wu; Jie Zhang 002 (NeurIPS, 2024)

Unified Denoising Training for Recommendation. - Haoyan Chua; Yingpeng Du; Zhu Sun 001; Ziyan Wang; Jie Zhang 002; Yew-Soon Ong (RecSys, 2024)

Configurable Fairness for New Item Recommendation Considering Entry Time of Items. - Huizhong Guo; Dongxia Wang 002; Zhu Sun 001; Haonan Zhang; Jinfeng Li; Jie Zhang 002 (SIGIR, 2024)

Large Language Model with Graph Convolution for Recommendation. - Yingpeng Du; Ziyan Wang; Zhu Sun 001; Haoyan Chua; Hongzhi Liu 001; Zhonghai Wu; Yining Ma 001; Jie Zhang 002; Youchen Sun (CoRR, 2024)

Cross-Domain Continual Learning via CLAMP. - Weiwei Weng; Mahardhika Pratama; Jie Zhang 002; Chen Chen; Edward Kien Yee Yapp; Savitha Ramasamy (CoRR, 2024)

Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography. - Nhat Minh Chung; Sensen Gao; Tuan-Anh Vu; Jie Zhang 002; Aishan Liu; Yun Lin 001; Jin Song Dong 001; Qing Guo 005 (CoRR, 2024)

Leveraging Knowledge Graph Embedding for Effective Conversational Recommendation. - Yunwen Xia; Hui Fang 002; Jie Zhang 002; Chong Long (CoRR, 2024)

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. - Enneng Yang; Li Shen 008; Guibing Guo; Xingwei Wang 001; Xiaochun Cao; Jie Zhang 002; Dacheng Tao (CoRR, 2024)

SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery. - Enneng Yang; Li Shen 008; Zhenyi Wang 001; Guibing Guo; Xingwei Wang 001; Xiaochun Cao; Jie Zhang 002; Dacheng Tao (CoRR, 2024)

Advancing Sustainability via Recommender Systems: A Survey. - Xin Zhou 008; Lei Zhang 199; Honglei Zhang; Yixin Zhang; Xiaoxiong Zhang 002; Jie Zhang 002; Zhiqi Shen 001 (CoRR, 2024)

SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments. - Yue Cao; Yun Xing; Jie Zhang 002; Di Lin 002; Tianwei Zhang 004; Ivor W. Tsang; Yang Liu 003; Qing Guo 005 (CoRR, 2024)

MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation. - Ziqing Wu; Zhu Sun 001; Dongxia Wang 002; Lu Zhang 063; Jie Zhang 002; Yew Soon Ong (CoRR, 2024)

MAGIC: Mastering Physical Adversarial Generation in Context through Collaborative LLM Agents. - Yun Xing; Nhat Chung; Jie Zhang 002; Yue Cao; Ivor W. Tsang; Yang Liu 003; Lei Ma 003; Qing Guo 005 (CoRR, 2024)

Cross-domain continual learning via CLAMP. - Weiwei Weng; Mahardhika Pratama; Jie Zhang 002; Chen Chen; Edward Kien Yee Yapp; Ramasamy Savitha (Inf. Sci., 2024)

Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis. - Ziyan Wang; Mohamed Ragab 002; Wenmian Yang; Min Wu 008; Sinno Jialin Pan; Jie Zhang 002; Zhenghua Chen (IEEE Trans. Instrum. Meas., 2024)

Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System. - Yuxin Ni; Yunwen Xia; Hui Fang 002; Chong Long; Xinyu Kong; Daqian Li; Dong Yang; Jie Zhang 002 (ACM Trans. Inf. Syst., 2024)

A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals. - Zhu Sun 001; Yu Lei; Lu Zhang 063; Chen Li 047; Yew-Soon Ong; Jie Zhang 002 (ACM Trans. Inf. Syst., 2024)

Who Wants to Shop With You: Joint Product-Participant Recommendation for Group-Buying Service. - Xiao Sha; Zhu Sun 001; Jie Zhang 002; Yew-Soon Ong (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning. - Liwei Huang; Mingsheng Fu; Ananya Rao; Athirai A. Irissappane; Jie Zhang 002; Chengzhong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Aspect-Aware Graph Attention Network for Heterogeneous Information Networks. - Qidong Liu 001; Cheng Long 001; Jie Zhang 002; Mingliang Xu 001; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Learning Feature Embedding Refiner for Solving Vehicle Routing Problems. - Jingwen Li; Yining Ma 001; Zhiguang Cao; Yaoxin Wu; Wen Song; Jie Zhang 002; Yeow Meng Chee (IEEE Trans. Neural Networks Learn. Syst., 2024)

Our Model Achieves Excellent Performance on MovieLens: What Does It Mean? - Yu-Chen Fan; Yitong Ji; Jie Zhang 002; Aixin Sun (ACM Trans. Inf. Syst., 2024)

Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation. - Yingpeng Du; Zhu Sun 001; Ziyan Wang; Haoyan Chua; Jie Zhang 002; Yew-Soon Ong (AAAI, 2025)

Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation. - Ziyan Wang; Yingpeng Du; Zhu Sun 001; Haoyan Chua; Kaidong Feng; Wenya Wang 001; Jie Zhang 002 (AAAI, 2025)

THEMIS: Regulating Textual Inversion for Personalized Concept Censorship. - Yutong Wu 009; Jie Zhang 002; Florian Kerschbaum; Tianwei Zhang 004 (NDSS, 2025)

Enhancing New-item Fairness in Dynamic Recommender Systems. - Huizhong Guo; Zhu Sun 001; Dongxia Wang 002; Tianjun Wei; Jinfeng Li; Jie Zhang 002 (SIGIR, 2025)

Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation. - Youchen Sun; Zhu Sun 001; Yingpeng Du; Jie Zhang 002; Yew Soon Ong (WWW, 2025)

The crowd in MOOCs: a study of learning patterns at scale. - Xin Zhou 008; Aixin Sun; Jie Zhang 002; Donghui Lin (Interact. Learn. Environ., 2025)

Decision-Making With Speculative Opponent Models. - Jing Sun; Shuo Chen 006; Cong Zhang; Yining Ma 001; Jie Zhang 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Multistage Competitive Opinion Maximization With Q-Learning-Based Method in Social Networks. - Qiang He 002; Li Zhang; Hui Fang 002; Xing-wei Wang 001; Lianbo Ma; Keping Yu; Jie Zhang 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Diffusion-Based Deep Reinforcement Learning for Resource Management in Connected Construction Equipment Networks: A Hierarchical Framework. - Pengfei Ning; Hongwei Wang 008; Tao Tang 004; Jie Zhang 002; Hongyang Du; Dusit Niyato; F. Richard Yu (IEEE Trans. Wirel. Commun., 2025)

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity. - Qi Zhou 012; Jie Zhang 002; Dongxia Wang 002; Qiang Liu; Tianlin Li; Jin Song Dong; Wenhai Wang; Qing Guo 005 (CoRR, 2025)

Reinforcement Speculative Decoding for Fast Ranking. - Yingpeng Du; Tianjun Wei; Zhu Sun 001; Jie Zhang 002 (CoRR, 2025)

Generalizable Heuristic Generation Through Large Language Models with Meta-Optimization. - Yiding Shi; Jianan Zhou 002; Wen Song; Jieyi Bi; Yaoxin Wu; Jie Zhang 002 (CoRR, 2025)

DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches. - Yun Xing; Yue Cao; Nhat Chung; Jie Zhang 002; Ivor W. Tsang; Ming-Ming Cheng; Yang Liu 003; Lei Ma 003; Qing Guo 005 (CoRR, 2025)

LLM-Driven Dual-Level Multi-Interest Modeling for Recommendation. - Ziyan Wang; Yingpeng Du; Zhu Sun 001; Jieyi Bi; Haoyan Chua; Tianjun Wei; Jie Zhang 002 (CoRR, 2025)

Cooperative Relaying for Connected Construction Equipment Networks With Hybrid Hierarchical Proximal Policy Optimization. - Pengfei Ning; Hongwei Wang 008; Tao Tang 004; Jie Zhang 002; Changji Chen; Dusit Niyato; F. Richard Yu (IEEE Trans. Commun., 2025)

FOCUS: Frequency-Optimized Conditioning of DiffUSion Models for mitigating catastrophic forgetting during Test-Time Adaptation. - Gabriel Tjio; Jie Zhang 002; Xulei Yang; Yun Xing; Nhat Chung; Xiaofeng Cao 002; Ivor W. Tsang; Chee Keong Kwoh; Qing Guo 005 (CoRR, 2025)