Jie Zhang - RankMe

431 papers A* 79A 58B 15C 20Misc 6Journal 196Unranked 51

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Action-Perturbation Backdoor Attacks on Partially Observable Multiagent Systems. IEEE Trans. Dependable Secur. Comput. Shuo Chen, Yue Qiu, Jie Zhang
2026	J	`jnl`	Decentralized Next Point-of-Interest Recommendation Guided by Willingness to Share. ACM Trans. Inf. Syst. Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang, Yew-Soon Ong
2026	A*	`conf`	Dynamic Experts Synergy for Multi-Task Recommendation. WWW Haotian Wu, Yingpeng Du, Zhu Sun, Jie Zhang, Puay Siew Tan
2026	J	`jnl`	FOCUS: Frequency-Optimized Conditioning of diffUSion models for mitigating catastrophic forgetting during test-time adaptation. Mach. Vis. Appl. Gabriel Tjio, Jie Zhang, XuLei Yang, Yun Xing, Nhat Chung, Xiaofeng Cao, Ivor W. Tsang, Chee Keong Kwoh, Qing Guo
2026	A*	`conf`	MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents. AAAI Yun Xing, Nhat Chung, Jie Zhang, Yue Cao, Ivor W. Tsang, Yang Liu, Lei Ma, Qing Guo
2026	J	`jnl`	MMGRid: Navigating Temporal-aware and Cross-domain Generative Recommendation via Model Merging. CoRR Tianjun Wei, Enneng Yang, Yingpeng Du, Huizhong Guo, Jie Zhang, Zhu Sun
2026	J	`jnl`	Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications, and Opportunities. ACM Comput. Surv. Enneng Yang, Li Shen, Guibing Guo, Xing-wei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao
2026	A*	`conf`	ONE-PASS: Single Forward Pass Decoding for Listwise Reranking. WWW Yingpeng Du, Zhu Sun, Tianjun Wei, Jie Zhang
2026	—	`conf`	Reinforcement Speculative Decoding for Fast Ranking. KDD (1) Yingpeng Du, Tianjun Wei, Zhu Sun, Jie Zhang, Xun Jiang
2026	A*	`conf`	SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache. AAAI Qiuyu Zhu, Liang Zhang, Qianxiong Xu, Cheng Long, Jie Zhang
2026	J	`jnl`	Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking. CoRR Huizhong Guo, Tianjun Wei, Dongxia Wang, Yingpeng Du, Ziyan Wang, Jie Zhang, Zhu Sun
2026	J	`jnl`	Towards Efficient Constraint Handling in Neural Solvers for Routing Problems. CoRR Jieyi Bi, Zhiguang Cao, Jianan Zhou, Wen Song, Yaoxin Wu, Jie Zhang, Yining Ma, Cathy Wu
2026	J	`jnl`	Tracing Epidemic Source of Dynamic Network Based on Graph Neural Network. IEEE Trans. Netw. Qiang He, Xin Yan, Hui Fang, Lu Chen, Jie Zhang
2026	A*	`conf`	TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models. AAAI Honglei Zhang, Zhiwei Li, Haoxuan Li, Xin Zhou, Jie Zhang, Yidong Li
2026	J	`jnl`	Unifying Watermarking via Dimension-Aware Mapping. CoRR Jiale Meng, Runyi Hu, Jie Zhang, Zheming Lu, Ivor W. Tsang, Tianwei Zhang
2025	A*	`conf`	Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation. AAAI Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong
2025	J	`jnl`	Active Large Language Model-based Knowledge Distillation for Session-based Recommendation. CoRR Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong
2025	J	`jnl`	Cooperative Relaying for Connected Construction Equipment Networks With Hybrid Hierarchical Proximal Policy Optimization. IEEE Trans. Commun. Pengfei Ning, Hongwei Wang, Tao Tang, Jie Zhang, Changji Chen, Dusit Niyato, F. Richard Yu
2025	J	`jnl`	Decision-Making With Speculative Opponent Models. IEEE Trans. Neural Networks Learn. Syst. Jing Sun, Shuo Chen, Cong Zhang, Yining Ma, Jie Zhang
2025	J	`jnl`	DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches. CoRR Yun Xing, Yue Cao, Nhat Chung, Jie Zhang, Ivor W. Tsang, Ming-Ming Cheng, Yang Liu, Lei Ma, Qing Guo
2025	J	`jnl`	Diffusion-Based Deep Reinforcement Learning for Resource Management in Connected Construction Equipment Networks: A Hierarchical Framework. IEEE Trans. Wirel. Commun. Pengfei Ning, Hongwei Wang, Tao Tang, Jie Zhang, Hongyang Du, Dusit Niyato, F. Richard Yu
2025	A*	`conf`	Enhancing New-item Fairness in Dynamic Recommender Systems. SIGIR Huizhong Guo, Zhu Sun, Dongxia Wang, Tianjun Wei, Jinfeng Li, Jie Zhang
2025	J	`jnl`	Enhancing New-item Fairness in Dynamic Recommender Systems. CoRR Huizhong Guo, Zhu Sun, Dongxia Wang, Tianjun Wei, Jinfeng Li, Jie Zhang
2025	J	`jnl`	FOCUS: Frequency-Optimized Conditioning of DiffUSion Models for mitigating catastrophic forgetting during Test-Time Adaptation. CoRR Gabriel Tjio, Jie Zhang, XuLei Yang, Yun Xing, Nhat Chung, Xiaofeng Cao, Ivor W. Tsang, Chee Keong Kwoh, Qing Guo
2025	J	`jnl`	Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity. CoRR Qi Zhou, Jie Zhang, Dongxia Wang, Qiang Liu, Tianlin Li, Jin Song Dong, Wenhai Wang, Qing Guo
2025	J	`jnl`	Generalizable Heuristic Generation Through Large Language Models with Meta-Optimization. CoRR Yiding Shi, Jianan Zhou, Wen Song, Jieyi Bi, Yaoxin Wu, Jie Zhang
2025	J	`jnl`	LLM-Driven Dual-Level Multi-Interest Modeling for Recommendation. CoRR Ziyan Wang, Yingpeng Du, Zhu Sun, Jieyi Bi, Haoyan Chua, Tianjun Wei, Jie Zhang
2025	J	`jnl`	Learning to Optimize Capacity Planning in Semiconductor Manufacturing. CoRR Philipp Andelfinger, Jieyi Bi, Qiuyu Zhu, Jianan Zhou, Bo Zhang, Feifei Zhang, Chew Wye Chan, Boon Ping Gan, Wentong Cai, Jie Zhang
2025	J	`jnl`	Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation. CoRR Tianjun Wei, Huizhong Guo, Yingpeng Du, Zhu Sun, Chen Huang, Dongxia Wang, Jie Zhang
2025	A*	`conf`	Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation. WWW Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong
2025	J	`jnl`	Multistage Competitive Opinion Maximization With Q-Learning-Based Method in Social Networks. IEEE Trans. Neural Networks Learn. Syst. Qiang He, Li Zhang, Hui Fang, Xing-wei Wang, Lianbo Ma, Keping Yu, Jie Zhang
2025	A	`conf`	OcSplats: Rendering Occluded Humans with Prior Knowledge. ICME Jie Zhang, Qiongjie Cui, XuLei Yang, Na Zhao
2025	—	`conf`	RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. KDD (2) Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, André Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Davide Angioni, Wouter Kool, Zhiguang Cao, Qingfu Zhang, Joungho Kim, Jie Zhang, Kijung Shin, Cathy Wu, Sungsoo Ahn, Guojie Song, Changhyun Kwon, Kevin Tierney, Lin Xie, Jinkyoo Park
2025	A*	`conf`	Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation. AAAI Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang
2025	J	`jnl`	Reinforcement Speculative Decoding for Fast Ranking. CoRR Yingpeng Du, Tianjun Wei, Zhu Sun, Jie Zhang
2025	A*	`conf`	SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments. CVPR Yue Cao, Yun Xing, Jie Zhang, Di Lin, Tianwei Zhang, Ivor W. Tsang, Yang Liu, Qing Guo
2025	J	`jnl`	SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache. CoRR Qiuyu Zhu, Liang Zhang, Qianxiong Xu, Cheng Long, Jie Zhang
2025	A*	`conf`	THEMIS: Regulating Textual Inversion for Personalized Concept Censorship. NDSS Yutong Wu, Jie Zhang, Florian Kerschbaum, Tianwei Zhang
2025	J	`jnl`	The crowd in MOOCs: a study of learning patterns at scale. Interact. Learn. Environ. Xin Zhou, Aixin Sun, Jie Zhang, Donghui Lin
2024	A	`conf`	2D-Ptr: 2D Array Pointer Network for Solving the Heterogeneous Capacitated Vehicle Routing Problem. AAMAS Qidong Liu, Chaoyue Liu, Shaoyao Niu, Cheng Long, Jie Zhang, Mingliang Xu
2024	J	`jnl`	A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Liwei Huang, Mingsheng Fu, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Chengzhong Xu
2024	J	`jnl`	A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals. ACM Trans. Inf. Syst. Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang
2024	J	`jnl`	Advancing Sustainability via Recommender Systems: A Survey. CoRR Xin Zhou, Lei Zhang, Honglei Zhang, Yixin Zhang, Xiaoxiong Zhang, Jie Zhang, Zhiqi Shen
2024	J	`jnl`	Aspect-Aware Graph Attention Network for Heterogeneous Information Networks. IEEE Trans. Neural Networks Learn. Syst. Qidong Liu, Cheng Long, Jie Zhang, Mingliang Xu, Dacheng Tao
2024	A*	`conf`	Collaboration! Towards Robust Neural Methods for Routing Problems. NeurIPS Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen
2024	J	`jnl`	Collaboration! Towards Robust Neural Methods for Routing Problems. CoRR Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen
2024	A*	`conf`	Configurable Fairness for New Item Recommendation Considering Entry Time of Items. SIGIR Huizhong Guo, Dongxia Wang, Zhu Sun, Haonan Zhang, Jinfeng Li, Jie Zhang
2024	J	`jnl`	Cross-Domain Continual Learning via CLAMP. CoRR Weiwei Weng, Mahardhika Pratama, Jie Zhang, Chen Chen, Edward Kien Yee Yapp, Savitha Ramasamy
2024	J	`jnl`	Cross-domain continual learning via CLAMP. Inf. Sci. Weiwei Weng, Mahardhika Pratama, Jie Zhang, Chen Chen, Edward Kien Yee Yapp, Ramasamy Savitha
2024	A*	`conf`	Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling. ICLR Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang
2024	A*	`conf`	Disentangled Multi-interest Representation Learning for Sequential Recommendation. KDD Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang
2024	A*	`conf`	Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks. AAAI Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song, Jie Zhang
2024	J	`jnl`	Large Language Model with Graph Convolution for Recommendation. CoRR Yingpeng Du, Ziyan Wang, Zhu Sun, Haoyan Chua, Hongzhi Liu, Zhonghai Wu, Yining Ma, Jie Zhang, Youchen Sun
2024	J	`jnl`	Learning Feature Embedding Refiner for Solving Vehicle Routing Problems. IEEE Trans. Neural Networks Learn. Syst. Jingwen Li, Yining Ma, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang, Yeow Meng Chee
2024	A*	`conf`	Learning to Handle Complex Constraints for Vehicle Routing Problems. NeurIPS Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang
2024	J	`jnl`	Learning to Handle Complex Constraints for Vehicle Routing Problems. CoRR Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang
2024	J	`jnl`	Leveraging Knowledge Graph Embedding for Effective Conversational Recommendation. CoRR Yunwen Xia, Hui Fang, Jie Zhang, Chong Long
2024	J	`jnl`	MAGIC: Mastering Physical Adversarial Generation in Context through Collaborative LLM Agents. CoRR Yun Xing, Nhat Chung, Jie Zhang, Yue Cao, Ivor W. Tsang, Yang Liu, Lei Ma, Qing Guo
2024	J	`jnl`	MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation. CoRR Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang, Yew Soon Ong
2024	A*	`conf`	MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts. ICML Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu
2024	J	`jnl`	MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts. CoRR Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu
2024	J	`jnl`	Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System. ACM Trans. Inf. Syst. Yuxin Ni, Yunwen Xia, Hui Fang, Chong Long, Xinyu Kong, Daqian Li, Dong Yang, Jie Zhang
2024	J	`jnl`	Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. CoRR Enneng Yang, Li Shen, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao
2024	J	`jnl`	Our Model Achieves Excellent Performance on MovieLens: What Does It Mean? ACM Trans. Inf. Syst. Yu-Chen Fan, Yitong Ji, Jie Zhang, Aixin Sun
2024	J	`jnl`	Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis. CoRR Ziyan Wang, Mohamed Ragab, Wenmian Yang, Min Wu, Sinno Jialin Pan, Jie Zhang, Zhenghua Chen
2024	J	`jnl`	Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis. IEEE Trans. Instrum. Meas. Ziyan Wang, Mohamed Ragab, Wenmian Yang, Min Wu, Sinno Jialin Pan, Jie Zhang, Zhenghua Chen
2024	A*	`conf`	Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models. AAAI Yihao Huang, Felix Juefei-Xu, Qing Guo, Jie Zhang, Yutong Wu, Ming Hu, Tianlin Li, Geguang Pu, Yang Liu
2024	J	`jnl`	Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation. CoRR Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang
2024	J	`jnl`	SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments. CoRR Yue Cao, Yun Xing, Jie Zhang, Di Lin, Tianwei Zhang, Ivor W. Tsang, Yang Liu, Qing Guo
2024	A*	`conf`	Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation. KDD Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong
2024	J	`jnl`	SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery. CoRR Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao
2024	J	`jnl`	The Crowd in MOOCs: A Study of Learning Patterns at Scale. CoRR Xin Zhou, Aixin Sun, Jie Zhang, Donghui Lin
2024	A*	`conf`	Towards Cross-Domain Continual Learning. ICDE Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Haoyan Chua, Edward Kien Yee Yapp
2024	J	`jnl`	Towards Cross-Domain Continual Learning. CoRR Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Haoyan Chua, Edward Kien Yee Yapp
2024	J	`jnl`	Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography. CoRR Nhat Chung, Sensen Gao, Tuan-Anh Vu, Jie Zhang, Aishan Liu, Yun Lin, Jin Song Dong, Qing Guo
2024	A	`conf`	Unified Denoising Training for Recommendation. RecSys Haoyan Chua, Yingpeng Du, Zhu Sun, Ziyan Wang, Jie Zhang, Yew-Soon Ong
2024	J	`jnl`	Who Wants to Shop With You: Joint Product-Participant Recommendation for Group-Buying Service. IEEE Trans. Neural Networks Learn. Syst. Xiao Sha, Zhu Sun, Jie Zhang, Yew-Soon Ong
2023	J	`jnl`	A Critical Study on Data Leakage in Recommender System Offline Evaluation. ACM Trans. Inf. Syst. Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
2023	J	`jnl`	A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations. IEEE Trans. Ind. Informatics Mingsheng Fu, Liwei Huang, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Hong Qu
2023	J	`jnl`	A Semi-Centralized Trust Management Model Based on Blockchain for Data Exchange in IoT System. IEEE Trans. Serv. Comput. Yuan Liu, Chuang Zhang, Yu Yan, Xin Zhou, Zhihong Tian, Jie Zhang
2023	J	`jnl`	An Augmented Index-based Efficient Community Search for Large Directed Graphs. CoRR Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King
2023	J	`jnl`	Backdooring Textual Inversion for Concept Censorship. CoRR Yutong Wu, Jie Zhang, Florian Kerschbaum, Tianwei Zhang
2023	J	`jnl`	Conversation-Based Adaptive Relational Translation Method for Next POI Recommendation With Uncertain Check-Ins. IEEE Trans. Neural Networks Learn. Syst. Lu Zhang, Zhu Sun, Jie Zhang, Yiwen Wu, Yunwen Xia
2023	J	`jnl`	DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
2023	A	`conf`	Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction. RecSys Youchen Sun, Zhu Sun, Xiao Sha, Jie Zhang, Yew Soon Ong
2023	J	`jnl`	Dynamic Opinion Maximization in Social Networks. IEEE Trans. Knowl. Data Eng. Qiang He, Hui Fang, Jie Zhang, Xingwei Wang
2023	J	`jnl`	Enhancing Job Recommendation through LLM-based Generative Adversarial Networks. CoRR Yingpeng Du, Di Luo, Rui Yan, Hongzhi Liu, Yang Song, Hengshu Zhu, Jie Zhang
2023	A*	`conf`	Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift. NeurIPS Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang
2023	J	`jnl`	Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. CoRR Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen
2023	J	`jnl`	Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. IEEE Trans. Knowl. Data Eng. Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen
2023	J	`jnl`	Learning to Solve 3-D Bin Packing Problem via Deep Reinforcement Learning and Constraint Programming. IEEE Trans. Cybern. Yuan Jiang, Zhiguang Cao, Jie Zhang
2023	J	`jnl`	Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels
2023	A	`conf`	Multi-view graph contrastive learning for solving vehicle routing problems. UAI Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Jie Zhang
2023	J	`jnl`	Neural Airport Ground Handling. CoRR Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang
2023	J	`jnl`	Neural Airport Ground Handling. IEEE Trans. Intell. Transp. Syst. Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang
2023	J	`jnl`	Our Model Achieves Excellent Performance on MovieLens: What Does it Mean? CoRR Yu-Chen Fan, Yitong Ji, Jie Zhang, Aixin Sun
2023	A	`ed.`	Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023 RecSys Jie Zhang, Li Chen, Shlomo Berkovsky, Min Zhang, Tommaso Di Noia, Justin Basilico, Luiz Pizzato, Yang Song
2023	A*	`conf`	Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. ICDE Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish
2023	J	`jnl`	Retraining A Graph-based Recommender with Interests Disentanglement. CoRR Yitong Ji, Aixin Sun, Jie Zhang
2023	J	`jnl`	SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. Trans. Recomm. Syst. Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao
2023	J	`jnl`	Single-Site Perishable Inventory Management Under Uncertainties: A Deep Reinforcement Learning Approach. IEEE Trans. Knowl. Data Eng. Kaixin Wang, Cheng Long, Darrell Joshua Ong, Jie Zhang, Xue-Ming Yuan
2023	J	`jnl`	Teacher-apprentices RL (TARL): leveraging complex policy distribution through generative adversarial hypernetwork in reinforcement learning. Auton. Agents Multi Agent Syst. Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang
2023	A*	`conf`	Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. ICML Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2023	J	`jnl`	Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. CoRR Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2023	A	`conf`	WSDM 2023 Workshop on Interactive Recommender Systems. WSDM Yong Liu, Hao Zhang, Zhu Sun, Shoujin Wang, Jie Zhang
2022	J	`jnl`	A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals. CoRR Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang
2022	J	`jnl`	A sub-action aided deep reinforcement learning framework for latency-sensitive network slicing. Comput. Networks Da Xiao, Shuo Chen, Wei Ni, Jie Zhang, Jian (Andrew) Zhang, Ren Ping Liu
2022	J	`jnl`	ACDC: Online unsupervised cross-domain adaptation. Knowl. Based Syst. Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Edward Kien Yee Yapp
2022	—	`conf`	Class-Incremental Learning via Knowledge Amalgamation. ECML/PKDD (3) Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Yajuan Sun
2022	J	`jnl`	Class-Incremental Learning via Knowledge Amalgamation. CoRR Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Yajuan Sun
2022	J	`jnl`	DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. CoRR Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
2022	J	`jnl`	Decision-making with Imaginary Opponent Models. CoRR Jing Sun, Shuo Chen, Cong Zhang, Jie Zhang
2022	J	`jnl`	Deep Reinforcement Learning Framework for Category-Based Item Recommendation. IEEE Trans. Cybern. Mingsheng Fu, Anubha Agrawal, Athirai A. Irissappane, Jie Zhang, Liwei Huang, Hong Qu
2022	J	`jnl`	Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem. IEEE Trans. Cybern. Jingwen Li, Yining Ma, Ruize Gao, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang
2022	J	`jnl`	Disentangling Multi-Facet Social Relations for Recommendation. IEEE Trans. Comput. Soc. Syst. Xiao Sha, Zhu Sun, Jie Zhang
2022	Misc	`conf`	Do Loyal Users Enjoy Better Recommendations?: Understanding Recommender Accuracy from a Time Perspective. ICTIR Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
2022	J	`jnl`	GP3: Gaussian Process Path Planning for Reliable Shortest Path in Transportation Networks. IEEE Trans. Intell. Transp. Syst. Hongliang Guo, Xuejie Hou, Zhiguang Cao, Jie Zhang
2022	A*	`conf`	Graph Learning Assisted Multi-Objective Integer Programming. NeurIPS Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin
2022	J	`jnl`	Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang
2022	J	`jnl`	Integrating social influence modeling and user modeling for trust prediction in signed networks. Artif. Intell. Hui Fang, Xiaoming Li, Jie Zhang
2022	J	`jnl`	Learning Improvement Heuristics for Solving Routing Problems. IEEE Trans. Neural Networks Learn. Syst. Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim
2022	A*	`conf`	Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs. ICLR Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2022	J	`jnl`	Learning to Search for Job Shop Scheduling via Deep Reinforcement Learning. CoRR Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu
2022	J	`jnl`	Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning. CoRR Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels
2022	A*	`conf`	Learning to Solve Routing Problems via Distributionally Robust Optimization. AAAI Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang
2022	J	`jnl`	Learning to Solve Routing Problems via Distributionally Robust Optimization. CoRR Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang
2022	J	`jnl`	Learning variable ordering heuristics for solving Constraint Satisfaction Problems. Eng. Appl. Artif. Intell. Wen Song, Zhiguang Cao, Jie Zhang, Chi Xu, Andrew Lim
2022	A*	`conf`	Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences. IJCAI Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu
2022	J	`jnl`	Point-of-Interest Recommendation for Users-Businesses With Uncertain Check-ins. IEEE Trans. Knowl. Data Eng. Zhu Sun, Chen Li, Yu Lei, Lu Zhang, Jie Zhang, Shunpan Liang
2022	A*	`conf`	Prototype Feature Extraction for Multi-task Learning. WWW Shen Xin, Yuhang Jiao, Cheng Long, Yuguang Wang, Xiaowei Wang, Sen Yang, Ji Liu, Jie Zhang
2022	J	`jnl`	Recommender May Not Favor Loyal Users. CoRR Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
2022	J	`jnl`	Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. CoRR Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish
2022	J	`jnl`	TriATNE: Tripartite Adversarial Training for Network Embeddings. IEEE Trans. Cybern. Qidong Liu, Cheng Long, Jie Zhang, Mingliang Xu, Pei Lv
2022	J	`jnl`	VRepChain: A Decentralized and Privacy-Preserving Reputation System for Social Internet of Vehicles Based on Blockchain. IEEE Trans. Veh. Technol. Yuan Liu, Zehui Xiong, Qin Hu, Dusit Niyato, Jie Zhang, Chunyan Miao, Cyril Leung, Zhihong Tian
2021	A	`conf`	A Blockchain-Enabled Quantitative Approach to Trust and Reputation Management with Sparse Evidence. AAMAS Leonid Zeynalvand, Tie Luo, Ewa Andrejczuk, Dusit Niyato, Sin G. Teo, Jie Zhang
2021	J	`jnl`	ACDC: Online Unsupervised Cross-Domain Adaptation. CoRR Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Edward Kien Yee Yapp
2021	A*	`conf`	ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce. ICDE Shen Xin, Zhao Li, Pengcheng Zou, Cheng Long, Jie Zhang, Jiajun Bu, Jingren Zhou
2021	A	`conf`	Adaptive Holding for Online Bottleneck Matching with Delays. SDM Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu
2021	J	`jnl`	Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem. CoRR Jingwen Li, Yining Ma, Ruize Gao, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang
2021	—	`conf`	Exploiting Human Trust to Improve Recommender Systems. UMAP (Adjunct Publication) Jie Zhang
2021	J	`jnl`	Guest Editors' Introduction: Special Issue on Latest Developments for Security Management of Networks and Services. IEEE Trans. Netw. Serv. Manag. Rémi Badonnel, Carol J. Fung, Sandra Scott-Hayward, Qi Li, Jie Zhang, Cristian Hesselman
2021	J	`jnl`	Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning. CoRR Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang
2021	J	`jnl`	Hierarchical attentive knowledge graph embedding for personalized recommendation. Electron. Commer. Res. Appl. Xiao Sha, Zhu Sun, Jie Zhang
2021	A	`conf`	Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork. AAMAS Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang
2021	A*	`conf`	Learning Large Neighborhood Search Policy for Integer Programming. NeurIPS Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2021	J	`jnl`	Learning Large Neighborhood Search Policy for Integer Programming. CoRR Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
2021	A	`conf`	Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. RecSys Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng
2021	J	`jnl`	Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. CoRR Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng
2021	A*	`conf`	Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. AAAI Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
2021	A*	`conf`	NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem. NeurIPS Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
2021	J	`jnl`	NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem. CoRR Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
2021	A*	`conf`	Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract). AAAI Danni Peng, Xiaobo Hu, Anxiang Zeng, Jie Zhang
2021	—	`ed.`	Proceedings of the 22nd International Workshop on Trust in Agent Societies (TRUST 2021) Co-located with the 20th International Conferences on Autonomous Agents and Multiagent Systems (AAMAS 2021), London, UK, May 3-7, 2021. TRUST@AAMAS Dongxia Wang, Rino Falcone, Jie Zhang
2021	J	`jnl`	SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. CoRR Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao
2021	A	`conf`	Solving 3D Bin Packing Problem via Multimodal Deep Reinforcement Learning. AAMAS Yuan Jiang, Zhiguang Cao, Jie Zhang
2021	J	`jnl`	Step-Wise Deep Learning Models for Solving Routing Problems. IEEE Trans. Ind. Informatics Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
2020	J	`jnl`	A 2020 perspective on "A generalized stereotype learning approach and its instantiation in trust modeling". Electron. Commer. Res. Appl. Hui Fang, Jie Zhang, Murat Sensoy
2020	A*	`conf`	A Re-visit of the Popularity Baseline in Recommender Systems. SIGIR Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
2020	J	`jnl`	A Re-visit of the Popularity Baseline in Recommender Systems. CoRR Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
2020	A*	`conf`	A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario. AAAI Monidipa Das, Mahardhika Pratama, Jie Zhang, Yew-Soon Ong
2020	A*	`conf`	AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism. AAAI Shuo Chen, Ewa Andrejczuk, Zhiguang Cao, Jie Zhang
2020	A*	`conf`	An Attentional Recurrent Neural Network for Personalized Next Location Recommendation. AAAI Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng
2020	A*	`conf`	An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins. IJCAI Lu Zhang, Zhu Sun, Jie Zhang, Yu Lei, Chen Li, Ziqing Wu, Horst Kloeden, Felix Klanner
2020	A	`conf`	Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. RecSys Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, Cong Geng
2020	A*	`conf`	COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment. AAAI Leonid Zeynalvand, Tie Luo, Jie Zhang
2020	J	`jnl`	Cost-sensitive deep forest for price prediction. Pattern Recognit. Chao Ma, Zhenbing Liu, Zhiguang Cao, Wen Song, Jie Zhang, Weiliang Zeng
2020	J	`jnl`	Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction. CoRR Yanshi Wang, Jie Zhang, Qing Da, Anxiang Zeng
2020	A*	`conf`	Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. IJCAI Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King
2020	J	`jnl`	Information Theoretical Analysis of Unfair Rating Attacks Under Subjectivity. IEEE Trans. Inf. Forensics Secur. Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu
2020	J	`jnl`	Learning Network Representations With Different Order Structural Information. IEEE Trans. Comput. Soc. Syst. Qidong Liu, Xin Zhou, Cheng Long, Jie Zhang, Mingliang Xu
2020	A*	`conf`	Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning. NeurIPS Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu
2020	J	`jnl`	Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning. CoRR Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu
2020	J	`jnl`	Modeling hierarchical category transition for next POI recommendation with uncertain check-ins. Inf. Sci. Lu Zhang, Zhu Sun, Jie Zhang, Horst Kloeden, Felix Klanner
2020	A	`conf`	Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion. CIKM Shen Xin, Yizhou Ye, Martin Ester, Cheng Long, Jie Zhang, Zhao Li, Kaiying Yuan, Yanghua Li
2020	J	`jnl`	Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. CoRR Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
2020	J	`jnl`	On Offline Evaluation of Recommender Systems. CoRR Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
2019	J	`jnl`	A Sampling Approach for Proactive Project Scheduling under Generalized Time-dependent Workability Uncertainty. J. Artif. Intell. Res. Wen Song, Donghun Kang, Jie Zhang, Zhiguang Cao, Hui Xi
2019	A*	`conf`	ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection. IJCAI Shuo Chen, Ewa Andrejczuk, Athirai Aravazhi Irissappane, Jie Zhang
2019	J	`jnl`	Attentive Knowledge Graph Embedding for Personalized Recommendation. CoRR Xiao Sha, Zhu Sun, Jie Zhang
2019	J	`jnl`	COBRA: Context-aware Bernoulli Neural Networks for Reputation Assessment. CoRR Leonid Zeynalvand, Tie Luo, Jie Zhang
2019	A*	`conf`	Exploring Communities in Large Profiled Graphs (Extended Abstract). ICDE Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
2019	J	`jnl`	Exploring Communities in Large Profiled Graphs. CoRR Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
2019	J	`jnl`	Exploring Communities in Large Profiled Graphs. IEEE Trans. Knowl. Data Eng. Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
2019	A	`conf`	Fraud Regulating Policy for E-Commerce via Constrained Contextual Bandits. AAMAS Zehong Hu, Zhen Wang, Zhao Li, Shichang Hu, Shasha Ruan, Jie Zhang
2019	A*	`conf`	General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits. AAAI Zehong Hu, Jie Zhang, Zhao Li
2019	J	`jnl`	Improving IoT Data Quality in Mobile Crowd Sensing: A Cross Validation Approach. IEEE Internet Things J. Tie Luo, Jianwei Huang, Salil S. Kanhere, Jie Zhang, Sajal K. Das
2019	J	`jnl`	Introduction to the Special Section on Trust and AI. ACM Trans. Internet Techn. Jie Zhang, Jamal Bentahar, Rino Falcone, Timothy J. Norman, Murat Sensoy
2019	J	`jnl`	Learning Improvement Heuristics for Solving the Travelling Salesman Problem. CoRR Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim
2019	J	`jnl`	Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems. CoRR Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim
2019	A*	`conf`	MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification. ICDM Monidipa Das, Mahardhika Pratama, Septiviana Savitri, Jie Zhang
2019	B	`conf`	Modeling Heterogeneous Influences for Point-of-Interest Recommendation in Location-Based Social Networks. ICWE Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng
2019	J	`jnl`	Research Commentary on Recommendations with Side Information: A Survey and Research Directions. CoRR Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke
2019	J	`jnl`	Research commentary on recommendations with side information: A survey and research directions. Electron. Commer. Res. Appl. Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke
2019	J	`jnl`	Securing Android App Markets via Modeling and Predicting Malware Spread Between Markets. IEEE Trans. Inf. Forensics Secur. Guozhu Meng, Matthew Patrick, Yinxing Xue, Yang Liu, Jie Zhang
2019	A*	`conf`	Supervised User Ranking in Signed Social Networks. AAAI Xiaoming Li, Hui Fang, Jie Zhang
2019	J	`jnl`	Which Channel to Ask My Question? Personalized Customer Service RequestStream Routing using DeepReinforcement Learning. CoRR Zining Liu, Chong Long, Xiaolu Lu, Zehong Hu, Jie Zhang, Yafang Wang
2019	J	`jnl`	Which Channel to Ask My Question?: Personalized Customer Service Request Stream Routing Using Deep Reinforcement Learning. IEEE Access Zining Liu, Chong Long, Xiaolu Lu, Zehong Hu, Jie Zhang, Yafang Wang
2018	J	`jnl`	A Bayesian Multiagent Trust Model for Social Networks. IEEE Trans. Comput. Soc. Syst. Noel Sardana, Robin Cohen, Jie Zhang, Shuo Chen
2018	J	`jnl`	A Multiagent-Based Approach for Vehicle Routing by Considering Both Arriving on Time and Total Travel Time. ACM Trans. Intell. Syst. Technol. Zhiguang Cao, Hongliang Guo, Jie Zhang
2018	A*	`conf`	A Novel Strategy for Active Task Assignment in Crowd Labeling. IJCAI Zehong Hu, Jie Zhang
2018	J	`jnl`	A generalized stereotype learning approach and its instantiation in trust modeling. Electron. Commer. Res. Appl. Hui Fang, Jie Zhang, Murat Sensoy
2018	J	`jnl`	ACM UMAP 2018 - User Modeling, Adaptation and Personalization: 8-11 July, 2018 at NTU, Singapore. SIGWEB Newsl. Jie Zhang, Tanja Mitrovic, David Chin, Li Chen
2018	—	`ed.`	Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization, UMAP 2018, Singapore, July 08-11, 2018 UMAP (Adjunct Publication) Tanja Mitrovic, Jie Zhang, Li Chen, David Chin
2018	B	`conf`	An Operation Network for Abstractive Sentence Compression. COLING Naitong Yu, Jie Zhang, Minlie Huang, Xiaoyan Zhu
2018	J	`jnl`	An agent-based simulation system for multi-project scheduling under uncertainty. Simul. Model. Pract. Theory Wen Song, Hui Xi, Donghun Kang, Jie Zhang
2018	J	`jnl`	BPRH: Bayesian personalized ranking for heterogeneous implicit feedback. Inf. Sci. Huihuai Qiu, Yun Liu, Guibing Guo, Zhu Sun, Jie Zhang, Hai Thanh Nguyen
2018	A*	`conf`	FILE: A Novel Framework for Predicting Social Status in Signed Networks. AAAI Xiaoming Li, Hui Fang, Jie Zhang
2018	A*	`conf`	Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. NeurIPS Zehong Hu, Yitao Liang, Jie Zhang, Zhao Li, Yang Liu
2018	J	`jnl`	Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. CoRR Zehong Hu, Yitao Liang, Yang Liu, Jie Zhang
2018	C	`conf`	MASA: Multi-Agent Subjectivity Alignment for Trustworthy Internet of Things. FUSION Leonid Zeynalvand, Jie Zhang, Shuo Chen, Tony T. Luo
2018	A*	`conf`	POMDP-Based Decision Making for Fast Event Handling in VANETs. AAAI Shuo Chen, Athirai Aravazhi Irissappane, Jie Zhang
2018	A	`ed.`	Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, UMAP 2018, Singapore, July 08-11, 2018 UMAP Tanja Mitrovic, Jie Zhang, Li Chen, David Chin
2018	A	`conf`	Recurrent knowledge graph embedding for effective recommendation. RecSys Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Long-Kai Huang, Chi Xu
2018	A*	`conf`	Risk-Aware Proactive Scheduling via Conditional Value-at-Risk. AAAI Wen Song, Donghun Kang, Jie Zhang, Hui Xi
2018	J	`jnl`	Toward General Robustness Evaluation of Incentive Mechanism Against Bounded Rationality. IEEE Trans. Comput. Soc. Syst. Zehong Hu, Jie Zhang
2018	A	`conf`	Who is Your Best Friend?: Ranking Social Network Friends According to Trust Relationship. UMAP Xiaoming Li, Hui Fang, Qing Yang, Jie Zhang
2017	C	`conf`	A Feature-Based Approach for the Redefined Link Prediction Problem in Signed Networks. ADMA Xiaoming Li, Hui Fang, Jie Zhang
2017	—	`conf`	A Flexible Privacy-Preserving Framework for Singular Value Decomposition Under Internet of Things Environment. IFIPTM Shuo Chen, Rongxing Lu, Jie Zhang
2017	J	`jnl`	A Flexible Privacy-preserving Framework for Singular Value Decomposition under Internet of Things Environment. CoRR Shuo Chen, Rongxing Lu, Jie Zhang
2017	A*	`conf`	A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty. AAAI Wen Song, Donghun Kang, Jie Zhang, Hui Xi
2017	A*	`conf`	A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing. IJCAI Qikun Xiang, Jie Zhang, Ido Nevat, Pengfei Zhang
2017	A	`conf`	A Trust-based Mixture of Gaussian Processes Model for Robust Participatory Sensing. AAMAS Qikun Xiang, Jie Zhang, Ido Nevat, Pengfei Zhang
2017	J	`jnl`	A Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion. IEEE Trans. Intell. Transp. Syst. Zhiguang Cao, Siwei Jiang, Jie Zhang, Hongliang Guo
2017	A	`conf`	A Unified Latent Factor Model for Effective Category-Aware Recommendation. UMAP Zhu Sun, Guibing Guo, Jie Zhang, Chi Xu
2017	J	`jnl`	A multi-unit combinatorial auction based approach for decentralized multi-project scheduling. Auton. Agents Multi Agent Syst. Wen Song, Donghun Kang, Jie Zhang, Hui Xi
2017	J	`jnl`	An Efficient Fog-Assisted Unstable Sensor Detection Scheme with Privacy Preserved. CoRR Shuo Chen, Rongxing Lu, Jie Zhang
2017	J	`jnl`	Artificial Intelligence Research in Singapore: Assisting the Development of a Smart Nation. AI Mag. Pradeep Varakantham, Bo An, Bryan Low, Jie Zhang
2017	—	`conf`	Aspect-aware Point-of-Interest Recommendation with Geo-Social Influence. UMAP (Adjunct Publication) Qing Guo, Zhu Sun, Jie Zhang, Qi Chen, Yin-Leng Theng
2017	J	`jnl`	Auditing Anti-Malware Tools by Evolving Android Malware and Dynamic Loading Technique. IEEE Trans. Inf. Forensics Secur. Yinxing Xue, Guozhu Meng, Yang Liu, Tian Huat Tan, Hongxu Chen, Jun Sun, Jie Zhang
2017	A	`conf`	Automatic Construction of Agent-based Simulation Using Business Process Diagrams and Ontology-based Models. AAMAS Donghun Kang, Zhenchao C. Bing, Wen Song, Zehong Hu, Shuo Chen, Jie Zhang, Hui Xi
2017	J	`jnl`	CONGRESS: A Hybrid Reputation System for Coping with Rating Subjectivity. IEEE Trans. Comput. Soc. Syst. Yuan Liu, Jie Zhang, Quanyan Zhu, Xingwei Wang
2017	A	`conf`	CitRec 2017: International Workshop on Recommender Systems for Citizens. RecSys Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson
2017	J	`jnl`	Collusive Opinion Fraud Detection in Online Reviews: A Probabilistic Modeling Approach. ACM Trans. Web Chang Xu, Jie Zhang
2017	A*	`conf`	Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation. AAAI Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon
2017	J	`jnl`	Factored similarity models with social trust for top-N item recommendation. Knowl. Based Syst. Guibing Guo, Jie Zhang, Feida Zhu, Xingwei Wang
2017	J	`jnl`	Filtering unfair ratings from dishonest advisors in multi-criteria e-markets: a biclustering-based approach. Auton. Agents Multi Agent Syst. Athirai Aravazhi Irissappane, Jie Zhang
2017	J	`jnl`	Integrating Trust with User Preference for Effective Web Service Composition. IEEE Trans. Serv. Comput. HongBing Wang, Bin Zou, Guibing Guo, Danrong Yang, Jie Zhang
2017	A	`conf`	Interacting Attention-gated Recurrent Networks for Recommendation. CIKM Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax
2017	J	`jnl`	Interacting Attention-gated Recurrent Networks for Recommendation. CoRR Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax
2017	B	`conf`	Joint Subjective Opinions. MDAI Magdalena Ivanovska, Audun Jøsang, Jie Zhang, Shuo Chen
2017	Misc	`conf`	Learning hierarchical category influence on both users and items for effective recommendation. SAC Zhu Sun, Guibing Guo, Jie Zhang
2017	A*	`conf`	MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation. IJCAI Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Yu Chen, Chi Xu
2017	A*	`conf`	Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method. AAAI Zhiguang Cao, Hongliang Guo, Jie Zhang, Frans A. Oliehoek, Ulrich Fastenrath
2017	J	`jnl`	Measuring similarity of users with qualitative preferences for service selection. Knowl. Inf. Syst. HongBing Wang, Hualan Wang, Guibing Guo, Yangyu Tang, Jie Zhang
2017	C	`conf`	Multi-source fusion in subjective logic. FUSION Audun Jøsang, Dongxia Wang, Jie Zhang
2017	C	`conf`	Multi-source trust revision. FUSION Audun Jøsang, Jie Zhang, Dongxia Wang
2017	—	`conf`	Multiagent-based cooperative vehicle routing using node pressure and auctions. ITSC Madhavan Seshadri, Zhiguang Cao, Hongliang Guo, Jie Zhang, Ulrich Fastenrath
2017	A*	`conf`	Online Reputation Fraud Campaign Detection in User Ratings. IJCAI Chang Xu, Jie Zhang, Zhu Sun
2017	A*	`conf`	Optimal Posted-Price Mechanism in Microtask Crowdsourcing. IJCAI Zehong Hu, Jie Zhang
2017	A	`conf`	Proactive Project Scheduling with Time-dependent Workability Uncertainty. AAMAS Wen Song, Donghun Kang, Jie Zhang, Hui Xi
2017	—	`ed.`	Proceedings of International Workshop on Citizens for Recommender Systems, CitRec@RecSys 2017, 31 August 2017, Como, Italy CitRec@RecSys Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson
2017	A*	`conf`	Rethinking the Link Prediction Problem in Signed Social Networks. AAAI Xiaoming Li, Hui Fang, Jie Zhang
2017	J	`jnl`	Routing Multiple Vehicles Cooperatively: Minimizing Road Network Breakdown Probability. IEEE Trans. Emerg. Top. Comput. Intell. Hongliang Guo, Zhiguang Cao, Madhavan Seshadri, Jie Zhang, Dusit Niyato, Ulrich Fastenrath
2016	A*	`conf`	A Distributed and Scalable Machine Learning Approach for Big Data. IJCAI Hongliang Guo, Jie Zhang
2016	—	`conf`	A Language for Trust Modelling. TRUST@AAMAS Tim Muller, Jie Zhang, Yang Liu
2016	—	`conf`	A Language for Trust Modelling. AAMAS Workshops (Visionary Papers) Tim Muller, Jie Zhang, Yang Liu
2016	J	`jnl`	A Novel Evidence-Based Bayesian Similarity Measure for Recommender Systems. ACM Trans. Web Guibing Guo, Jie Zhang, Neil Yorke-Smith
2016	J	`jnl`	A Novel Recommendation Model Regularized with User Trust and Item Ratings. IEEE Trans. Knowl. Data Eng. Guibing Guo, Jie Zhang, Neil Yorke-Smith
2016	A*	`conf`	A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs. AAAI Athirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang
2016	J	`jnl`	A simulation framework for measuring robustness of incentive mechanisms and its implementation in reputation systems. Auton. Agents Multi Agent Syst. Yuan Liu, Jie Zhang, Bo An, Sandip Sen
2016	J	`jnl`	An ontological representation for trust-based decision making in transportation environments. Multiagent Grid Syst. Robin Cohen, John Finnson, Thomas T. Tran, Jie Zhang
2016	—	`conf`	Collusion-resistant Spatial Phenomena Crowdsourcing via Mixture of Gaussian Processes Regression. TRUST@AAMAS Qikun Xiang, Ido Nevat, Pengfei Zhang, Jie Zhang
2016	A	`conf`	Decentralized Multi-Project Scheduling via Multi-Unit Combinatorial Auction. AAMAS Wen Song, Donghun Kang, Jie Zhang, Hui Xi
2016	A	`conf`	Effective Recommendation with Category Hierarchy. UMAP Zhu Sun, Guibing Guo, Jie Zhang
2016	A*	`conf`	Efficient Computation of Emergent Equilibrium in Agent-Based Simulation. AAAI Zehong Hu, Meng Sha, Moath H. A. Jarrah, Jie Zhang, Hui Xi
2016	J	`jnl`	Finding the Shortest Path in Stochastic Vehicle Routing: A Cardinality Minimization Approach. IEEE Trans. Intell. Transp. Syst. Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath
2016	—	`conf`	How to Use Information Theory to Mitigate Unfair Rating Attacks. IFIPTM Tim Muller, Dongxia Wang, Yang Liu, Jie Zhang
2016	J	`jnl`	Improved EGT-Based Robustness Analysis of Negotiation Strategies in Multiagent Systems via Model Checking. IEEE Trans. Hum. Mach. Syst. Songzheng Song, Jianye Hao, Yang Liu, Jun Sun, Ho-fung Leung, Jie Zhang
2016	J	`jnl`	Improving the Efficiency of Stochastic Vehicle Routing: A Partial Lagrange Multiplier Method. IEEE Trans. Veh. Technol. Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath
2016	—	`ed.`	Incentives and Trust in Electronic Communities, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016. AAAI Workshop: Incentives and Trust in Electronic Communities Jie Zhang, Zeinab Noorian, Stephen Marsh
2016	A*	`conf`	Is It Harmful When Advisors Only Pretend to Be Honest? AAAI Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu
2016	A	`conf`	Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization. RecSys Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang
2016	—	`conf`	Limitations on Robust Ratings and Predictions. IFIPTM Tim Muller, Yang Liu, Jie Zhang
2016	A*	`conf`	Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time. AAAI Zhiguang Cao, Hongliang Guo, Jie Zhang, Ulrich Fastenrath
2016	A	`conf`	Mystique: Evolving Android Malware for Auditing Anti-Malware Tools. AsiaCCS Guozhu Meng, Yinxing Xue, Mahinthan Chandramohan, Annamalai Narayanan, Yang Liu, Jie Zhang, Tieming Chen
2016	J	`jnl`	ProMoca: Probabilistic Modeling and Analysis of Agents in Commitment Protocols. J. Artif. Intell. Res. Akin Günay, Yang Liu, Jie Zhang
2016	—	`ed.`	Proceedings of the 18th International Workshop on Trust in Agent Societies co-located with the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), Singapore, Singapore, May 10, 2016. TRUST@AAMAS Jie Zhang, Robin Cohen, Murat Sensoy
2016	A	`conf`	Semantic modelling of Android malware for effective malware comprehension, detection, and classification. ISSTA Guozhu Meng, Yinxing Xue, Zhengzi Xu, Yang Liu, Jie Zhang, Annamalai Narayanan
2016	A	`conf`	TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback. UMAP Hui-Huai Qiu, Guibing Guo, Jie Zhang, Zhu Sun, Hai Thanh Nguyen, Yun Liu
2015	C	`ed.`	13th Annual Conference on Privacy, Security and Trust, PST 2015, Izmir, Turkey, July 21-23, 2015 PST Ali A. Ghorbani, Vicenç Torra, Hüseyin Hisil, Ali Miri, Ahmet Koltuksuz, Jie Zhang, Murat Sensoy, Joaquín García-Alfaro, Ibrahim Zincir
2015	J	`jnl`	A Case-Based Reasoning Framework to Choose Trust Models for Different E-Marketplace Environments. J. Artif. Intell. Res. Athirai Aravazhi Irissappane, Jie Zhang
2015	C	`conf`	A Reputation Revision Mechanism to Mitigate the Negative Effects of Misreported Ratings. ICEC Siyuan Liu, Chunyan Miao, Yuan Liu, Hui Fang, Han Yu, Jie Zhang, Yueting Chai, Cyril Leung
2015	J	`jnl`	A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Cybern. Siwei Jiang, Jie Zhang, Yew-Soon Ong, Allan N. Zhang, Puay Siew Tan
2015	J	`jnl`	A personalized credibility model for recommending messages in social participatory media environments. World Wide Web Aaditeshwar Seth, Jie Zhang, Robin Cohen
2015	J	`jnl`	A priori trust inference with context-aware stereotypical deep learning. Knowl. Based Syst. Peng Zhou, Xiaojing Gu, Jie Zhang, Minrui Fei
2015	A	`conf`	An Agent-based Simulation System for Dynamic Project Scheduling and Online Disruption Resolving. AAMAS Hui Xi, Chi Keong Goh, Partha Sarathi Dutta, Meng Sha, Jie Zhang
2015	—	`conf`	An Incentive Mechanism to Elicit Truthful Opinions for Crowdsourced Multiple Choice Consensus Tasks. WI-IAT (2) Siyuan Liu, Chunyan Miao, Yuan Liu, Han Yu, Jie Zhang, Cyril Leung
2015	—	`conf`	Automated Agent Behavior Construction for Protocol-Based Multiagent Systems. WI-IAT (2) Akin Günay, Yang Liu, Jie Zhang, Partha Sarathi Dutta
2015	A*	`conf`	Automated Analysis of Commitment Protocols Using Probabilistic Model Checking. AAAI Akin Günay, Songzheng Song, Yang Liu, Jie Zhang
2015	J	`jnl`	Collaborative Security: A Survey and Taxonomy. ACM Comput. Surv. Guozhu Meng, Yang Liu, Jie Zhang, Alexander Pokluda, Raouf Boutaba
2015	A	`conf`	Combating Product Review Spam Campaigns via Multiple Heterogeneous Pairwise Features. SDM Chang Xu, Jie Zhang
2015	C	`conf`	Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach. ACML Bin Li, Julia Yu, Jie Zhang, Bin Ke
2015	A	`conf`	Exploiting Implicit Item Relationships for Recommender Systems. UMAP Zhu Sun, Guibing Guo, Jie Zhang
2015	C	`conf`	Improving Sybil Detection via Graph Pruning and Regularization Techniques. ACML Huanhuan Zhang, Jie Zhang, Carol J. Fung, Chang Xu
2015	J	`jnl`	Introduction to Theme Section on Trust in Social Networks and Systems. ACM Trans. Internet Techn. Timothy J. Norman, K. Suzanne Barber, Rino Falcone, Jie Zhang
2015	J	`jnl`	Leveraging multiviews of trust and similarity to enhance clustering-based recommender systems. Knowl. Based Syst. Guibing Guo, Jie Zhang, Neil Yorke-Smith
2015	—	`conf`	LibRec: A Java Library for Recommender Systems. UMAP Workshops Guibing Guo, Jie Zhang, Zhu Sun, Neil Yorke-Smith
2015	J	`jnl`	Multi-faceted trust and distrust prediction for recommender systems. Decis. Support Syst. Hui Fang, Guibing Guo, Jie Zhang
2015	A	`conf`	Optimal and Effective Web Service Composition with Trust and User Preference. ICWS HongBing Wang, Bin Zou, Guibing Guo, Jie Zhang, Zhengping Yang
2015	A*	`conf`	Quantifying Robustness of Trust Systems against Collusive Unfair Rating Attacks Using Information Theory. IJCAI Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu
2015	J	`jnl`	Scaling POMDPs For Selecting Sellers in E-markets-Extended Version. CoRR Athirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang
2015	A*	`conf`	Secure Routing in Wireless Sensor Networks via POMDPs. IJCAI Athirai Aravazhi Irissappane, Jie Zhang, Frans A. Oliehoek, Partha Sarathi Dutta
2015	A	`conf`	The Fallacy of Endogenous Discounting of Trust Recommendations. AAMAS Tim Muller, Yang Liu, Jie Zhang
2015	J	`jnl`	Toward Energy-Efficient Trust System Through Watchdog Optimization for WSNs. IEEE Trans. Inf. Forensics Secur. Peng Zhou, Siwei Jiang, Athirai Aravazhi Irissappane, Jie Zhang, Jianying Zhou, Joseph Chee Ming Teo
2015	A*	`conf`	Towards Collusive Fraud Detection in Online Reviews. ICDM Chang Xu, Jie Zhang
2015	A*	`conf`	TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings. AAAI Guibing Guo, Jie Zhang, Neil Yorke-Smith
2015	A	`conf`	Using Information Theory to Improve the Robustness of Trust Systems. AAMAS Dongxia Wang, Tim Muller, Athirai Aravazhi Irissappane, Jie Zhang, Yang Liu
2014	A	`conf`	A POMDP based approach to optimally select sellers in electronic marketplaces. AAMAS Athirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang
2014	J	`jnl`	A Super-Agent-Based Framework for Reputation Management and Community Formation in Decentralized Systems. Comput. Intell. Yao Wang, Jie Zhang, Julita Vassileva
2014	A	`conf`	A biclustering-based approach to filter dishonest advisors in multi-criteria e-marketplaces. AAMAS Athirai Aravazhi Irissappane, Siwei Jiang, Jie Zhang
2014	—	`conf`	A data-driven method for stochastic shortest path problem. ITSC Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath
2014	—	`conf`	A multi-hop reputation announcement scheme for VANETs. SOLI Zhiguang Cao, Qin Li, Hoon Wei Lim, Jie Zhang
2014	A	`conf`	A pheromone-based traffic management model for vehicle re-routing and traffic light control. AAMAS Siwei Jiang, Jie Zhang, Yew-Soon Ong
2014	A	`conf`	A practical robustness measure of incentive mechanisms. AAMAS Yuan Liu, Jie Zhang, Bo An, Sandip Sen
2014	A	`conf`	A testbed to evaluate the robustness of reputation systems in e-marketplaces. AAMAS Athirai Aravazhi Irissappane, Jie Zhang
2014	J	`jnl`	An Integrated Clustering-Based Approach to Filtering Unfair Multi-Nominal Testimonies. Comput. Intell. Siyuan Liu, Jie Zhang, Chunyan Miao, Yin-Leng Theng, Alex C. Kot
2014	A	`conf`	An extensive model checking framework for multi-agent systems. AAMAS Songzheng Song, Yang Liu, Jie Zhang, Jun Sun
2014	J	`jnl`	An incentive mechanism designed for e-marketplaces with limited inventory. Electron. Commer. Res. Appl. Yuan Liu, Jie Zhang
2014	J	`jnl`	Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization. IEEE Trans. Cybern. Siwei Jiang, Yew-Soon Ong, Jie Zhang, Liang Feng
2014	B	`conf`	ETAF: An extended trust antecedents framework for trust prediction. ASONAM Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith
2014	J	`jnl`	Estimating feature ratings through an effective review selection approach. Knowl. Inf. Syst. Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, Ming Li, Bin Ma
2014	—	`conf`	Exploiting Trust and Distrust Information to Combat Sybil Attack in Online Social Networks. IFIPTM Huanhuan Zhang, Chang Xu, Jie Zhang
2014	Misc	`conf`	From ratings to trust: an empirical study of implicit trust in recommender systems. SAC Guibing Guo, Jie Zhang, Daniel Thalmann, Anirban Basu, Neil Yorke-Smith
2014	A*	`conf`	Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation. AAAI Hui Fang, Yang Bao, Jie Zhang
2014	J	`jnl`	Leveraging prior ratings for recommender systems in e-commerce. Electron. Commer. Res. Appl. Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith
2014	J	`jnl`	Merging trust in collaborative filtering to alleviate data sparsity and cold start. Knowl. Based Syst. Guibing Guo, Jie Zhang, Daniel Thalmann
2014	J	`jnl`	Multiobjective optimization based on reputation. Inf. Sci. Siwei Jiang, Jie Zhang, Yew-Soon Ong
2014	—	`conf`	On Robustness of Trust Systems. IFIPTM Tim Muller, Yang Liu, Sjouke Mauw, Jie Zhang
2014	Misc	`conf`	Privacy preserving trusted social feedback. SAC Anirban Basu, Juan Camilo Corena, Shinsaku Kiyomoto, Stephen Marsh, Jaideep Vaidya, Guibing Guo, Jie Zhang, Yutaka Miyake
2014	A*	`conf`	RepRev: Mitigating the Negative Effects of Misreported Ratings. AAAI Yuan Liu, Siyuan Liu, Jie Zhang, Hui Fang, Han Yu, Chunyan Miao
2014	J	`jnl`	Reputation mechanism for e-commerce in virtual reality environments. Electron. Commer. Res. Appl. Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann
2014	A*	`conf`	Reputation-Aware Continuous Double Auction. AAAI Yuan Liu, Jie Zhang, Han Yu, Chunyan Miao
2014	—	`conf`	Routing multiple cars in large scale networks: Minimizing road network breakdown probability. ITSC Hongliang Guo, Zhiguang Cao, Jie Zhang, Dusit Niyato, Ulrich Fastenrath
2014	—	`conf`	SocialTrust: Adaptive Trust Oriented Incentive Mechanism for Social Commerce. WI-IAT (1) Zeinab Noorian, Mohsen Mohkami, Yuan Liu, Hui Fang, Julita Vassileva, Jie Zhang
2014	A	`conf`	Subjectivity grouping: learning from users' rating behavior. AAMAS Hui Fang, Jie Zhang, Nadia Magnenat-Thalmann
2014	A*	`conf`	TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation. AAAI Yang Bao, Hui Fang, Jie Zhang
2014	B	`conf`	Towards Robust and Effective Trust Management for Security: A Survey. TrustCom Dongxia Wang, Tim Muller, Yang Liu, Jie Zhang
2014	—	`ed.`	Trust Management VIII - 8th IFIP WG 11.11 International Conference, IFIPTM 2014, Singapore, July 7-10, 2014. Proceedings IFIPTM Jianying Zhou, Nurit Gal-Oz, Jie Zhang, Ehud Gudes
2014	J	`jnl`	Trust-oriented buyer strategies for seller reporting and selection in competitive electronic marketplaces. Auton. Agents Multi Agent Syst. Zeinab Noorian, Jie Zhang, Yuan Liu, Stephen Marsh, Michael W. Fleming
2013	A*	`conf`	A Framework to Choose Trust Models for Different E-Marketplace Environments. IJCAI Athirai Aravazhi Irissappane, Siwei Jiang, Jie Zhang
2013	A*	`conf`	A Novel Bayesian Similarity Measure for Recommender Systems. IJCAI Guibing Guo, Jie Zhang, Neil Yorke-Smith
2013	J	`jnl`	A framework for trust modeling in multiagent electronic marketplaces with buying advisors to consider varying seller behavior and the limiting of seller bids. ACM Trans. Intell. Syst. Technol. Jie Zhang, Robin Cohen
2013	A	`conf`	A trust model stemmed from the diffusion theory for opinion evaluation. AAMAS Hui Fang, Jie Zhang, Nadia Magnenat-Thalmann
2013	A	`conf`	An evolutionary model for constructing robust trust networks. AAMAS Siwei Jiang, Jie Zhang, Yew-Soon Ong
2013	C	`ed.`	Eleventh Annual International Conference on Privacy, Security and Trust, PST 2013, 10-12 July, 2013, Tarragona, Catalonia, Spain, July 10-12, 2013 PST Jordi Castellà-Roca, Josep Domingo-Ferrer, Joaquín García-Alfaro, Ali A. Ghorbani, Christian Damsgaard Jensen, Jesús A. Manjón, Iosif-Viorel Onut, Natalia Stakhanova, Vicenç Torra, Jie Zhang
2013	J	`jnl`	Improving trust modeling through the limit of advisor network size and use of referrals. Electron. Commer. Res. Appl. Joshua Gorner, Jie Zhang, Robin Cohen
2013	A*	`conf`	Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity. IJCAI Hui Fang, Yang Bao, Jie Zhang
2013	A	`conf`	Prior ratings: a new information source for recommender systems in e-commerce. RecSys Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith
2013	J	`jnl`	Qualitative preference-based service selection for multiple agents. Web Intell. Agent Syst. HongBing Wang, Jie Zhang, Cheng Wan, Shizhi Shao, Robin Cohen
2013	—	`conf`	Recommending Messages to Users in Social Networks: A Cross-Site Study. ICMLA (2) Robin Cohen, Noel Sardana, Kamal Rahim, Disney Yan Lam, M. Li, O. Maccarthy, E. Woo, Jie Zhang, Guibing Guo
2013	A	`conf`	Robustness evaluation of incentive mechanisms. AAMAS Yuan Liu, Jie Zhang
2013	J	`jnl`	SocConnect: A personalized social network aggregator and recommender. Inf. Process. Manag. Jie Zhang, Yuan Wang, Julita Vassileva
2013	J	`jnl`	Towards effective online review systems in the Chinese context: A cross-cultural empirical study. Electron. Commer. Res. Appl. Hui Fang, Jie Zhang, Yang Bao, Qinghua Zhu
2013	J	`jnl`	Trust modeling for message relay control and local action decision making in VANETs. Secur. Commun. Networks Jie Zhang, Chen Chen, Robin Cohen
2013	A	`conf`	Uncovering collusive spammers in Chinese review websites. CIKM Chang Xu, Jie Zhang, Kuiyu Chang, Chong Long
2012	—	`conf`	A Context-Aware Framework for Detecting Unfair Ratings in an Unknown Real Environment. Web Intelligence Cheng Wan, Jie Zhang, Athirai Aravazhi Irissappane
2012	A	`conf`	A Framework for Modeling Trustworthiness of Users in Mobile Vehicular Ad-Hoc Networks and Its Validation through Simulated Traffic Flow. UMAP John Finnson, Jie Zhang, Thomas T. Tran, Umar Farooq Minhas, Robin Cohen
2012	B	`conf`	A Generalized Stereotypical Trust Model. TrustCom Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann
2012	J	`jnl`	A Reputation-Based Announcement Scheme for VANETs. IEEE Trans. Veh. Technol. Qin Li, Amizah Malip, Keith M. Martin, Siaw-Lynn Ng, Jie Zhang
2012	A	`conf`	A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems. UMAP Guibing Guo, Jie Zhang, Daniel Thalmann
2012	A	`conf`	A multiagent evolutionary framework based on trust for multiobjective optimization. AAMAS Siwei Jiang, Jie Zhang, Yew-Soon Ong
2012	—	`conf`	An Incentive Mechanism to Promote Honesty in E-marketplaces with Limited Inventory. IFIPTM Yuan Liu, Jie Zhang, Qin Li
2012	J	`jnl`	Combining Trust Modeling and Mechanism Design for promoting Honesty in E-Marketplaces. Comput. Intell. Jie Zhang, Robin Cohen, Kate Larson
2012	C	`conf`	Design of an incentive mechanism to promote honesty in e-marketplaces with limited inventory. ICEC Yuan Liu, Jie Zhang, Qin Li
2012	B	`conf`	Detecting Imprudence of 'Reliable' Sellers in Online Auction Sites. TrustCom Xin Liu, Anwitaman Datta, Hui Fang, Jie Zhang
2012	B	`conf`	Determining the Optimal Reporting Strategy in Competitive E-marketplaces. TrustCom Zeinab Noorian, Jie Zhang, Michael W. Fleming, Stephen Marsh
2012	J	`jnl`	Effective Acquaintance Management based on Bayesian Learning for Distributed Intrusion Detection Networks. IEEE Trans. Netw. Serv. Manag. Carol J. Fung, Jie Zhang, Raouf Boutaba
2012	B	`conf`	Feedback as "Shadow of the Present": An Alternative to Reputation Systems for E-marketplaces. TrustCom Qin Li, Jie Zhang, Keith M. Martin
2012	—	`conf`	Reasoning about user trustworthiness with non-binary advice from peers. UMAP Workshops John Finnson, Robin Cohen, Jie Zhang, Thomas T. Tran, Umar Farooq Minhas
2012	—	`conf`	Robustness of Trust Models and Combinations for Handling Unfair Ratings. IFIPTM Lizi Zhang, Siwei Jiang, Jie Zhang, Wee Keong Ng
2012	A	`conf`	SARC: subjectivity alignment for reputation computation. AAMAS Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann
2012	—	`conf`	Service Selection Based on Similarity Measurement for Conditional Qualitative Preference. Web Intelligence HongBing Wang, Jie Zhang, Hualan Wang, Yangyu Tang, Guibing Guo
2012	—	`conf`	Towards a comprehensive testbed to evaluate the robustness of reputation systems against unfair rating attack. UMAP Workshops Athirai Aravazhi Irissappane, Siwei Jiang, Jie Zhang
2012	A	`conf`	WCP-Nets: A Weighted Extension to CP-Nets for Web Service Selection. ICSOC HongBing Wang, Jie Zhang, Wenlong Sun, Hongye Song, Guibing Guo, Xiang Zhou
2011	J	`jnl`	A Multifaceted Approach to Modeling Agent Trust for Effective Communication in the Application of Mobile Ad Hoc Vehicular Networks. IEEE Trans. Syst. Man Cybern. Part C Umar Farooq Minhas, Jie Zhang, Thomas T. Tran, Robin Cohen
2011	B	`conf`	A Reputation Mechanism for Virtual Reality - Five-Sense Oriented Feedback Provision and Subjectivity Alignment. TrustCom Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann
2011	B	`conf`	A Survey on Trust Management for VANETs. AINA Jie Zhang
2011	B	`conf`	An Empirical Analysis of the Impact of Online Reviews on Product Sales in the Chinese Context. AINA Hui Fang, Qinghua Zhu, Jie Zhang
2011	C	`conf`	Analyzing Students' Usage of E-Learning Systems in the Cloud for Course Management. ICCE Tuan-Anh Doan, Jie Zhang, William-Chandra Tjhi, Bu-Sung Lee
2011	—	`conf`	Asymmetric Pareto-adaptive Scheme for Multiobjective Optimization. Australasian Conference on Artificial Intelligence Siwei Jiang, Jie Zhang, Yew-Soon Ong
2011	J	`jnl`	Cloud Computing. J. Internet Serv. Inf. Secur. Malek Ben Salem, Bu-Sung Lee, Jie Zhang
2011	B	`conf`	Collaborative Approaches to Complementing Qualitative Preferences of Agents for Effective Service Selection. ICTAI HongBing Wang, Jie Zhang, Yangyu Tang, Shizhi Shao
2011	A	`conf`	Coping with Poor Advice from Peers in Peer-Based Intelligent Tutoring: The Case of Avoiding Bad Annotations of Learning Objects. UMAP John Champaign, Jie Zhang, Robin Cohen
2011	—	`conf`	Design of a Reputation System Based on Dynamic Coalition Formation. SocInfo Yuan Liu, Jie Zhang, Quanyan Zhu
2011	C	`conf`	Design of a multiagent-based e-marketplace to secure service trading on the internet. ICEC Qin Li, Keith M. Martin, Jie Zhang
2011	J	`jnl`	Dirichlet-Based Trust Management for Effective Collaborative Intrusion Detection Networks. IEEE Trans. Netw. Serv. Manag. Carol J. Fung, Jie Zhang, Issam Aib, Raouf Boutaba
2011	—	`conf`	Handling Subjective User Feedback for Reputation Computation in Virtual Reality. UMAP Workshops Hui Fang, Murat Sensoy, Jie Zhang, Nadia Magnenat-Thalmann
2011	—	`conf`	Improving PGP Web of Trust through the Expansion of Trusted Neighborhood. Web Intelligence Guibing Guo, Jie Zhang, Julita Vassileva
2011	C	`conf`	Improving the use of advisor networks for multi-agent trust modelling. PST Joshua Gorner, Jie Zhang, Robin Cohen
2011	B	`conf`	IntRank: Interaction Ranking-Based Trustworthy Friend Recommendation. TrustCom Lizi Zhang, Hui Fang, Wee Keong Ng, Jie Zhang
2011	Misc	`conf`	Multiobjective optimization by decomposition with Pareto-adaptive weight vectors. ICNC Siwei Jiang, Zhihua Cai, Jie Zhang, Yew-Soon Ong
2011	—	`conf`	The Influence of Interaction Attributes on Trust in Virtual Communities. UMAP Workshops Lizi Zhang, Cheun Pin Tan, Siyi Li, Hui Fang, Pramodh Rai, Yao Chen, Rohit Luthra, Wee Keong Ng, Jie Zhang
2011	C	`conf`	The Validation of an Annotations Approach to Peer Tutoring Through Simulation Incorporating the Modeling of Reputation. ICCE John Champaign, Robin Cohen, Jie Zhang
2011	J	`jnl`	Trust Management and Admission Control for Host-Based Collaborative Intrusion Detection. J. Netw. Syst. Manag. Carol J. Fung, Jie Zhang, Issam Aib, Raouf Boutaba
2011	—	`conf`	Trust, Reputation and User Modeling. UMAP Workshops Julita Vassileva, Jie Zhang
2011	A	`conf`	iCLUB: an integrated clustering-based approach to improve the robustness of reputation systems. AAMAS Siyuan Liu, Jie Zhang, Chunyan Miao, Yin Leng Theng, Alex C. Kot
2010	C	`conf`	A Framework of User-Driven Data Analytics in the Cloud for Course Management. ICCE Jie Zhang, William-Chandra Tjhi, Bu-Sung Lee, Gary Kee Khoon Lee, Julita Vassileva, Chee-Kit Looi
2010	—	`conf`	A Review Selection Approach for Accurate Feature Rating Estimation. COLING (Posters) Chong Long, Jie Zhang, Xiaoyan Zhu
2010	J	`jnl`	A Scalable and Effective Trust-Based Framework for Vehicular Ad-Hoc Networks. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. Jie Zhang, Chen Chen, Robin Cohen
2010	A	`conf`	Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media. UMAP Aaditeshwar Seth, Jie Zhang, Robin Cohen
2010	—	`conf`	Effective Web Service Selection via Communities Formed by Super-Agents. Web Intelligence Yao Wang, Jie Zhang, Julita Vassileva
2010	B	`conf`	Effective acquaintance management for Collaborative Intrusion Detection Networks. CNSM Carol J. Fung, Jie Zhang, Raouf Boutaba
2010	—	`conf`	Intelligent Agents in Mobile Vehicular Ad-Hoc Networks: Leveraging Trust Modeling Based on Direct Experience with Incentives for Honesty. IAT Umar Farooq Minhas, Jie Zhang, Thomas T. Tran, Robin Cohen
2010	—	`conf`	Leveraging a Social Network of Trust for Promoting Honesty in E-Marketplaces. IFIPTM Jie Zhang, Robin Cohen, Kate Larson
2010	C	`conf`	Mechanism Design on Coursework Grading to Create Incentives for Student Learning. ICCE Julita Vassileva, Detersa Deters, Jie Zhang
2010	—	`conf`	Secure and Efficient Trust Opinion Aggregation for Vehicular Ad-Hoc Networks. VTC Fall Chen Chen, Jie Zhang, Robin Cohen, Pin-Han Ho
2010	Misc	`conf`	Towards Effective Recommendation of Social Data across Social Networking Sites. AIMSA Yuan Wang, Jie Zhang, Julita Vassileva
2010	—	`conf`	Web Service Selection for Multiple Agents with Incomplete Preferences. Web Intelligence HongBing Wang, Jie Zhang, Cheng Wan, Shizhi Shao, Robin Cohen, Junjie Xu, Peicheng Li
2009	J	`jnl`	POYRAZ: Context-Aware Service Selection under Deception. Comput. Intell. Murat Sensoy, Jie Zhang, Pinar Yolum, Robin Cohen
2009	—	`conf`	Robust and scalable trust management for collaborative intrusion detection. Integrated Network Management Carol J. Fung, Jie Zhang, Issam Aib, Raouf Boutaba
2009	—	`conf`	Specialized Review Selection for Feature Rating Estimation. Web Intelligence Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, Ming Li, Bin Ma
2008	C	`conf`	A Detailed Comparison of Probabilistic Approaches for Coping with Unfair Ratings in Trust and Reputation Systems. PST Jie Zhang, Murat Sensoy, Robin Cohen
2008	A	`conf`	A Social Network Based Approach to Personalized Recommendation of Participatory Media Content. ICWSM Aaditeshwar Seth, Jie Zhang
2008	—	`conf`	A Trust-Based Incentive Mechanism for E-Marketplaces. AAMAS-TRUST Jie Zhang, Robin Cohen, Kate Larson
2008	J	`jnl`	Evaluating the trustworthiness of advice about seller agents in e-marketplaces: A personalized approach. Electron. Commer. Res. Appl. Jie Zhang, Robin Cohen
2008	—	`conf`	Seller Bidding in a Trust-Based Incentive Mechanism for Dynamic E-Marketplaces. Canadian AI Jie Zhang, Robin Cohen
2008	—	`conf`	Trust Management for Host-Based Collaborative Intrusion Detection. DSOM Carol J. Fung, Olga Baysal, Jie Zhang, Issam Aib, Raouf Boutaba
2007	J	`jnl`	A Comprehensive Approach for Sharing Semantic Web Trust Ratings. Comput. Intell. Jie Zhang, Robin Cohen
2007	J	`jnl`	A familiarity-based trust model for effective selection of sellers in multiagent e-commerce systems. Int. J. Inf. Sec. Jie Zhang, Ali A. Ghorbani, Robin Cohen
2007	A	`conf`	An incentive mechanism for eliciting fair ratings of sellers in e-marketplaces. AAMAS Jie Zhang, Robin Cohen
2007	A*	`conf`	Design of a Mechanism for Promoting Honesty in E-Marketplaces. AAAI Jie Zhang, Robin Cohen
2007	—	`conf`	Engendering Trust in Buying and Selling Agents by Discouraging the Reporting of Unfair Ratings. AAAI Spring Symposium: Interaction Challenges for Intelligent Assistants Jie Zhang, Robin Cohen
2007	—	`conf`	Engendering Trust in Buying and Selling Agents by Discouraging the Reporting of Unfair Ratings. Interaction Challenges for Intelligent Assistants Jie Zhang, Robin Cohen
2007	—	`conf`	GUMSAWS: A Generic User Modeling Server for Adaptive Web Systems. CNSR Jie Zhang, Ali A. Ghorbani
2006	—	`conf`	A Trust Model for Sharing Ratings of Information Providers on the Semantic Web. CSWWS Jie Zhang, Robin Cohen
2006	C	`conf`	An improved familiarity measurement for formalization of trust in e-commerce based multiagent systems. PST Jie Zhang, Ali A. Ghorbani, Robin Cohen
2006	C	`conf`	Trusting advice from other buyers in e-marketplaces: the problem of unfair ratings. ICEC Jie Zhang, Robin Cohen
2005	—	`conf`	PENS: A Personalized Electronic News System. CNSR Mehran Nadjarbashi-Noghani, Jie Zhang, Hossein Sadat, Ali A. Ghorbani
2005	A*	`conf`	Value-Centric Trust Model with Improved Familiarity Measurement. IJCAI Jie Zhang, Ali A. Ghorbani
2004	C	`conf`	Familiarity and Trust: Measuring Familiarity with a Web Site. PST Jie Zhang, Ali A. Ghorbani
2004	—	`conf`	The Reconstruction of User Sessions from a Server Log Using Improved Time-Oriented Heuristics. CNSR Jie Zhang, Ali A. Ghorbani