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ORCIDJie Zhang 0002
Person information
- affiliation: Nanyang Technological University, School of Computer Engineering, Singapore
- affiliation (PhD 2009): University of Waterloo, Cheriton School of Computer Science, ON, Canada
Other persons with the same name
- Jie Zhang — disambiguation page
- Jie Jennifer Zhang
![[0000-0002-8471-2384]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8471-2384")
(aka: Jie Zhang 0001) — University of Texas at Arlington (and 1 more) - Jie Zhang 0003 — Ranplan, Cambridge, UK (and 3 more)
- Jie Zhang 0004 — State Key Laboratory of Networking and Switching Technology, BUPT
- Jie Zhang 0005 — University of Newcastle, UK
- Jie Zhang 0006 — Beijing University of Posts and Telecommunication, State Key Laboratory of Information Photonics and Optical Communications, China
- Jie Zhang 0007 (aka: Jie (Jerry) Zhang) — Google (and 1 more)
- Jie Zhang 0008 — University of Bath, Department of Computer Science, UK (and 4 more)
- Jie Zhang 0009 — University of British Columbia (and 1 more)
- Jie Zhang 0010 — Indiana University, Indianapolis, IN, USA (and 1 more)
- Jie Zhang 0011 — Institute for Infocomm Research
- Jie Zhang 0012 — Fudan University, Centre for Computational Systems Biology, Shanghai, China
- Jie Zhang 0013 — University of Maryland, Department of Geographical Sciences (and 1 more)
- Jie Zhang 0014 — North China University of Technology
- Jie Zhang 0015 — Magister Solutions (and 1 more)
- Jie Zhang 0016 — Sichuan Electric Power Research Institute, State Grid Corporation of China, Chengdu, China (and 1 more)
- Jie Zhang 0018 — University of Maryland, School of Business
- Jie Zhang 0019 — Harbin Institute of Technology, School of Electronics and Information Engineering, China (and 1 more)
- Jie Zhang 0020 — Beijing Institute of Electronic System Engineering, China
- Jie Zhang 0021 — Southeast University, Nanjing
- Jie Zhang 0022 — Nanjing University, School of Geographic and Oceanographic Sciences
- Jie Zhang 0023 — Midwestern State University, Wichita Falls, TX, USA (and 1 more)
- Jie Zhang 0024 — University of Technology, Sydney
- Jie Zhang 0025 — Oracle (and 1 more)
- Jie Zhang 0026 — Apple, CA, USA (and 2 more)
- Jie Zhang 0027 — University of South Florida Tampa, Department of Civil & Environmental Engineering, FL, USA
- Jie Zhang 0028 — Northwest University, School of Information Science and Technology, Xi'an, China
- Jie Zhang 0029 — Hohai University, Department of IoT Engineering, Changzhou, China (and 1 more)
- Jie Zhang 0030 — Xi'an Jiaotong-Liverpool University, Department of Computer Science and Software Engineering, Suzhou, China (and 1 more)
- Jie Zhang 0031 — Xidian University, Key Laboratory of Electronic Equipment Structure Design, Xi'an, China
- Jie Zhang 0032 — University of Bristol, Department of Mechanical Engineering, UK
- Jie Zhang 0033 — Chinese Academy of Sciences, Institute of Intelligent Machines, Hefei, China
- Jie Zhang 0034 — Nanjing University of Science and Technology, School of Automation, China (and 1 more)
- Jie Zhang 0035 — Clemson University, Department of Physics, Computational Biophysics and Bioinformatics / Computer Science, SC, USA
- Jie Zhang 0036 — Wuhan University of Technology, School of Computer Science & Technology, China
- Jie Zhang 0038 — Chinese Academy of Sciences, Institute of Geodesy and Geophysics, Wuhan, China
- Jie Zhang 0039 — Xi'an Jiaotong University, School of Microelectronics, China
- Jie Zhang 0040 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
- Jie Zhang 0041 — Donghua University, College of Mechanical Engineering, Shanghai, China (and 2 more)
- Jie Zhang 0042 — University of Science and Technology of China, NEL-SLIP, Hefei, China (and 3 more)
- Jie Zhang 0043 — Hunan University, College of Computer Science and Electronics Engineering, Changsha, China
- Jie Zhang 0044 — Shengyao Intelligence Technology Co. Ltd., China (and 1 more)
- Jie Zhang 0045 — Ohio State University, Department of Computer Science and Engineering, Columbus, OH, USA
- Jie Zhang 0046 — Chinese University of Hong Kong, Department of Computer Science and Engineering, CUhk REliable Computing Laboratory, Hong Kong
- Jie Zhang 0047 — City University London, UK
- Jie Zhang 0048 — School of Computer Science, Peking University, China (and 3 more)
- Jie Zhang 0049 — Adobe Systems, San Jose, CA, USA (and 1 more)
- Jie Zhang 0050 (aka: Jie M. Zhang) — King's College London, Uk (and 2 more)
- Jie Zhang 0051 — Beihang University, School of Instrumentation Science and Opto-electronics Engineering, Beijing, China (and 1 more)
- Jie Zhang 0052 — Xidian University, School of Cyber Engineering, Xi'an, China
- Jie Zhang 0053 — Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China
- Jie Zhang 0054 — University of Texas at Dallas, Department of Mechanical Engineering, Dallas, TX, USA (and 1 more)
- Jie Zhang 0055 — Dongguan University of Technology, School of Computer Science and Network Security, Dongguan, China
- Jie Zhang 0056 — Liaoning Normal University, School of Mathematics, Dalian, China (and 1 more)
- Jie Zhang 0057 — Southwest University, School of Electronic and Information Engineering, Chongqing, China
- Jie Zhang 0058 — Jiangnan University, School of Digital Media, Wuxi, China
- Jie Zhang 0059 — Peking University, School of Electronics Engineering and Computer Science, Beijing, China (and 1 more)
- Jie Zhang 0060 — Ant Financial Services Group, Hangzhou, China
- Jie Zhang 0061 — Beijing Institute of Technology, School of Computer Science, China
- Jie Zhang 0062 — Nanjing University of Aeronautics and Astronautics, College of Economics and Management, China (and 1 more)
- Jie Zhang 0063 — Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, Cambridge, MA, USA (and 1 more)
- Jie Zhang 0064 — University of Science and Technology of China, School of Earth and Space Sciences, Hefei, China
- Jie Zhang 0065 — Shandong Normal University, School of Information Science and Engineering, Jinan, China
- Jie Zhang 0066 — Zhengzhou University of Light Industry, College of Electric and Information Engineering, China
- Jie Zhang 0067 — Air Force Engineering University, Air and Missile Defense College, Xian, Shanxi, China
- Jie Zhang 0068 — University of Electronic Science and Technology of China, State Key Laboratory of Electronic Thin Films and Integrated Devices, Chengdu, China
- Jie Zhang 0069 — Xi'an Jiaotong University, State Key Laboratory for Strength and Vibration of Mechanical Structures, Shaanxi, China (and 1 more)
- Jie Zhang 0070 — Taiyuan University of Science and Technology, School of Electronics Information Engineering, China (and 2 more)
- Jie Zhang 0071 — Chinese Academy of Sciences, Key Lab of Intelligent Information Processing, Beijing, China
- Jie Zhang 0072 — Yulin Normal University, School of Computer Science and Engineering, China
- Jie Zhang 0073 — University of Science and Technology of China, School of Cyber Science and Security, Hefei, China
- Jie Zhang 0074 — University of Chemical Technology, College of Information Science and Technology, Beijing, China
- Jie Zhang 0075 — Harbin Engineering University, College of Information and Communication Engineering, China
- Jie Zhang 0076 — Hong Kong Polytechnic University, Department of Computing, Hong Kong (and 1 more)
- Jie Zhang 0077 — Beijing Jiaotong University, School of Electronic and Information Engineering, China
- Jie Zhang 0078 — Tsinghua University, Department of Computer Science, Beijing, China
- Jie Zhang 0079 — Institute for Infocomm Research, Singapore (and 1 more)
- Jie Zhang 0080 — Beijing Normal University, Department of Mathematics, China
- Jie Zhang 0081 — Zhejiang University, School of Software Technology, Collaborative Innovation Center of Artificial Intelligence, Hangzhou, China (and 1 more)
- Jie Zhang 0082 — Hefei University of Technology, School of Electrical and Automation Engineering, China
- Jie Zhang 0083 — Xi'an Jiaotong-Liverpool University, International Business School Suzhou, China (and 1 more)
- Jie Zhang 0084 — Xidian University, School of Computer Science and Technology, Xi'an, China
- Jie Zhang 0085 — Dalian University of Technology, School of Software Technology, Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, China
- Jie Zhang 0086 — University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China
- Jie Zhang 0087 — Huazhong University of Science and Technology, School of Physics, Wuhan, China (and 1 more)
- Jie Zhang 0088 — Liaoning Normal University, School of Mathematics, Dalian, China (and 1 more)
- Jie Zhang 0089 — Guangdong Laboratory Animals Monitoring Institute, Guangzhou, China
- Jie Zhang 0090 — Hong Kong Polytechnic University, School of Design, Hong Kong
- Jie Zhang 0091 — Xidian University, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xi'an, China
- Jie Zhang 0092 — University of Kentucky, Department of Radiology, Lexington, KY, USA
- Jie Zhang 0093 — Northwestern Polytechnical University, Ministry of Education China, Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Xi'an, China
- Jie Zhang 0094 — Guangxi University, School of Computer, Electronics and Information, Nanning, China
- Jie Zhang 0095 — Changchun University of Technology, School of Mathematics and Statistics, China (and 1 more)
- Jie Zhang 0096 — University of Washington, WA, USA
- Jie Zhang 0097 — Northwest Normal University, College of Physics and Electronic Engineering, Lanzhou, China
- Jie Zhang 0098 — University of Technology Malaysia, Faculty of Social Sciences and Humanities, Kuala Lumpur (and 1 more)
- Jie Zhang 0099 — Sun Yat-Sen University, School of Aeronautics and Astronautics, Shenzhen, China
- Jie Zhang 0100 — Hunan University, State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Changsha, China
- Jie Zhang 0101 — Southwest Jiaotong University, Department of Measuring and Controlling Technology, School of Mechanical Engineering, Chengdu, China
- Jie Zhang 0102 — Northwestern Polytechnical University, Laboratory of Cyber-Physical Interaction, School of Mechanical Engineering, Xi'an, China
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2020 – today
- 2025
[j116]Jing Sun, Shuo Chen, Cong Zhang, Yining Ma, Jie Zhang:
Decision-Making With Speculative Opponent Models. IEEE Trans. Neural Networks Learn. Syst. 36(3): 5304-5318 (2025)- [j115]Qiang He, Li Zhang, Hui Fang, Xing-wei Wang, Lianbo Ma, Keping Yu, Jie Zhang:
Multistage Competitive Opinion Maximization With Q-Learning-Based Method in Social Networks. IEEE Trans. Neural Networks Learn. Syst. 36(4): 7158-7168 (2025) - [j114]Pengfei Ning, Hongwei Wang, Tao Tang, Jie Zhang, Hongyang Du, Dusit Niyato, F. Richard Yu:
Diffusion-Based Deep Reinforcement Learning for Resource Management in Connected Construction Equipment Networks: A Hierarchical Framework. IEEE Trans. Wirel. Commun. 24(4): 2847-2861 (2025) - [c215]Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong:
Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation. AAAI 2025: 11607-11615 - [c214]Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang:
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation. AAAI 2025: 12827-12835 - [c213]Yutong Wu, Jie Zhang, Florian Kerschbaum, Tianwei Zhang:
THEMIS: Regulating Textual Inversion for Personalized Concept Censorship. NDSS 2025 - [c212]Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong:
Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation. WWW 2025: 370-378 - [i59]Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong:
Active Large Language Model-based Knowledge Distillation for Session-based Recommendation. CoRR abs/2502.15685 (2025) - 2024
- [j113]Weiwei Weng, Mahardhika Pratama, Jie Zhang, Chen Chen, Edward Kien Yee Yapp, Ramasamy Savitha:
Cross-domain continual learning via CLAMP. Inf. Sci. 676: 120813 (2024) - [j112]Ziyan Wang, Mohamed Ragab, Wenmian Yang, Min Wu, Sinno Jialin Pan, Jie Zhang, Zhenghua Chen:
Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [j111]Xiao Sha, Zhu Sun, Jie Zhang, Yew-Soon Ong:
Who Wants to Shop With You: Joint Product-Participant Recommendation for Group-Buying Service. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2353-2363 (2024) - [j110]Liwei Huang, Mingsheng Fu, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Chengzhong Xu:
A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4246-4259 (2024) - [j109]Qidong Liu, Cheng Long, Jie Zhang, Mingliang Xu, Dacheng Tao:
Aspect-Aware Graph Attention Network for Heterogeneous Information Networks. IEEE Trans. Neural Networks Learn. Syst. 35(5): 7259-7266 (2024) - [j108]Jingwen Li, Yining Ma, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang, Yeow Meng Chee:
Learning Feature Embedding Refiner for Solving Vehicle Routing Problems. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15279-15291 (2024) - [j107]Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang:
A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals. ACM Trans. Inf. Syst. 42(1): 15:1-15:28 (2024) - [j106]Yuxin Ni, Yunwen Xia, Hui Fang, Chong Long, Xinyu Kong, Daqian Li, Dong Yang, Jie Zhang:
Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System. ACM Trans. Inf. Syst. 42(1): 28:1-28:27 (2024) - [j105]Yu-Chen Fan, Yitong Ji, Jie Zhang, Aixin Sun:
Our Model Achieves Excellent Performance on MovieLens: What Does It Mean? ACM Trans. Inf. Syst. 42(6): 159:1-159:25 (2024) - [c211]Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song, Jie Zhang:
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks. AAAI 2024: 8363-8371 - [c210]Yihao Huang, Felix Juefei-Xu, Qing Guo, Jie Zhang, Yutong Wu, Ming Hu, Tianlin Li, Geguang Pu, Yang Liu:
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models. AAAI 2024: 21169-21178 - [c209]Qidong Liu, Chaoyue Liu, Shaoyao Niu, Cheng Long, Jie Zhang, Mingliang Xu:
2D-Ptr: 2D Array Pointer Network for Solving the Heterogeneous Capacitated Vehicle Routing Problem. AAMAS 2024: 1238-1246 - [c208]Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Haoyan Chua, Edward Kien Yee Yapp:
Towards Cross-Domain Continual Learning. ICDE 2024: 1131-1142 - [c207]Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang:
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling. ICLR 2024 - [c206]Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu:
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts. ICML 2024 - [c205]Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang:
Disentangled Multi-interest Representation Learning for Sequential Recommendation. KDD 2024: 677-688 - [c204]Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong:
Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation. KDD 2024: 2806-2817 - [c203]Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen:
Collaboration! Towards Robust Neural Methods for Routing Problems. NeurIPS 2024 - [c202]Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang:
Learning to Handle Complex Constraints for Vehicle Routing Problems. NeurIPS 2024 - [c201]Haoyan Chua, Yingpeng Du, Zhu Sun, Ziyan Wang, Jie Zhang, Yew-Soon Ong:
Unified Denoising Training for Recommendation. RecSys 2024: 612-621 - [c200]Huizhong Guo, Dongxia Wang, Zhu Sun, Haonan Zhang, Jinfeng Li, Jie Zhang:
Configurable Fairness for New Item Recommendation Considering Entry Time of Items. SIGIR 2024: 437-447 - [i58]Yingpeng Du, Ziyan Wang, Zhu Sun, Haoyan Chua, Hongzhi Liu, Zhonghai Wu, Yining Ma, Jie Zhang, Youchen Sun:
Large Language Model with Graph Convolution for Recommendation. CoRR abs/2402.08859 (2024) - [i57]Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Haoyan Chua, Edward Kien Yee Yapp:
Towards Cross-Domain Continual Learning. CoRR abs/2402.12490 (2024) - [i56]Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang:
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation. CoRR abs/2403.16427 (2024) - [i55]Jianan Zhou, Zhiguang Cao, Yaoxin Wu, Wen Song, Yining Ma, Jie Zhang, Chi Xu:
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts. CoRR abs/2405.01029 (2024) - [i54]Weiwei Weng, Mahardhika Pratama, Jie Zhang, Chen Chen, Edward Kien Yee Yapp, Savitha Ramasamy:
Cross-Domain Continual Learning via CLAMP. CoRR abs/2405.07142 (2024) - [i53]Nhat Minh Chung, Sensen Gao, Tuan-Anh Vu, Jie Zhang, Aishan Liu, Yun Lin, Jin Song Dong, Qing Guo:
Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography. CoRR abs/2405.14169 (2024) - [i52]Ziyan Wang, Mohamed Ragab, Wenmian Yang, Min Wu, Sinno Jialin Pan, Jie Zhang, Zhenghua Chen:
Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis. CoRR abs/2405.17493 (2024) - [i51]Yunwen Xia, Hui Fang, Jie Zhang, Chong Long:
Leveraging Knowledge Graph Embedding for Effective Conversational Recommendation. CoRR abs/2408.01342 (2024) - [i50]Xin Zhou, Aixin Sun, Jie Zhang, Donghui Lin:
The Crowd in MOOCs: A Study of Learning Patterns at Scale. CoRR abs/2408.03025 (2024) - [i49]Enneng Yang, Li Shen, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao:
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. CoRR abs/2408.07666 (2024) - [i48]Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen:
Collaboration! Towards Robust Neural Methods for Routing Problems. CoRR abs/2410.04968 (2024) - [i47]Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao:
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery. CoRR abs/2410.14389 (2024) - [i46]Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang:
Learning to Handle Complex Constraints for Vehicle Routing Problems. CoRR abs/2410.21066 (2024) - [i45]Xin Zhou, Lei Zhang, Honglei Zhang, Yixin Zhang, Xiaoxiong Zhang, Jie Zhang, Zhiqi Shen:
Advancing Sustainability via Recommender Systems: A Survey. CoRR abs/2411.07658 (2024) - [i44]Yue Cao, Yun Xing, Jie Zhang, Di Lin, Tianwei Zhang, Ivor W. Tsang, Yang Liu, Qing Guo:
SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments. CoRR abs/2412.00114 (2024) - [i43]Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang, Yew Soon Ong:
MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation. CoRR abs/2412.07796 (2024) - [i42]Yun Xing, Nhat Chung, Jie Zhang, Yue Cao, Ivor W. Tsang, Yang Liu, Lei Ma, Qing Guo:
MAGIC: Mastering Physical Adversarial Generation in Context through Collaborative LLM Agents. CoRR abs/2412.08014 (2024) - 2023
- [j104]Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang:
Teacher-apprentices RL (TARL): leveraging complex policy distribution through generative adversarial hypernetwork in reinforcement learning. Auton. Agents Multi Agent Syst. 37(2): 25 (2023) - [j103]Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang:
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8206-8226 (2023) - [j102]Yuan Jiang, Zhiguang Cao, Jie Zhang:
Learning to Solve 3-D Bin Packing Problem via Deep Reinforcement Learning and Constraint Programming. IEEE Trans. Cybern. 53(5): 2864-2875 (2023) - [j101]Mingsheng Fu, Liwei Huang, Ananya Rao, Athirai A. Irissappane, Jie Zhang, Hong Qu:
A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations. IEEE Trans. Ind. Informatics 19(2): 2049-2061 (2023) - [j100]Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels:
Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 24(1): 1325-1336 (2023) - [j99]Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang:
Neural Airport Ground Handling. IEEE Trans. Intell. Transp. Syst. 24(12): 15652-15666 (2023) - [j98]Qiang He, Hui Fang, Jie Zhang, Xingwei Wang:
Dynamic Opinion Maximization in Social Networks. IEEE Trans. Knowl. Data Eng. 35(1): 350-361 (2023) - [j97]Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen:
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. IEEE Trans. Knowl. Data Eng. 35(9): 9769-9782 (2023) - [j96]Kaixin Wang, Cheng Long, Darrell Joshua Ong, Jie Zhang, Xue-Ming Yuan:
Single-Site Perishable Inventory Management Under Uncertainties: A Deep Reinforcement Learning Approach. IEEE Trans. Knowl. Data Eng. 35(10): 10807-10813 (2023) - [j95]Lu Zhang, Zhu Sun, Jie Zhang, Yiwen Wu, Yunwen Xia:
Conversation-Based Adaptive Relational Translation Method for Next POI Recommendation With Uncertain Check-Ins. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7810-7823 (2023) - [j94]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
A Critical Study on Data Leakage in Recommender System Offline Evaluation. ACM Trans. Inf. Syst. 41(3): 75:1-75:27 (2023) - [j93]Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao:
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. Trans. Recomm. Syst. 1(2): 1-25 (2023) - [j92]Yuan Liu, Chuang Zhang, Yu Yan, Xin Zhou, Zhihong Tian, Jie Zhang:
A Semi-Centralized Trust Management Model Based on Blockchain for Data Exchange in IoT System. IEEE Trans. Serv. Comput. 16(2): 858-871 (2023) - [c199]Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish:
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. ICDE 2023: 1084-1097 - [c198]Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. ICML 2023: 42769-42789 - [c197]Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang:
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift. NeurIPS 2023 - [c196]Youchen Sun, Zhu Sun, Xiao Sha, Jie Zhang, Yew Soon Ong:
Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction. RecSys 2023: 613-624 - [c195]Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Jie Zhang:
Multi-view graph contrastive learning for solving vehicle routing problems. UAI 2023: 984-994 - [c194]Yong Liu, Hao Zhang, Zhu Sun, Shoujin Wang, Jie Zhang:
WSDM 2023 Workshop on Interactive Recommender Systems. WSDM 2023: 1275-1276 - [e10]Jie Zhang, Li Chen, Shlomo Berkovsky, Min Zhang, Tommaso Di Noia, Justin Basilico, Luiz Pizzato, Yang Song:
Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023. ACM 2023 [contents] - [i41]Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen:
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. CoRR abs/2302.13797 (2023) - [i40]Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang:
Neural Airport Ground Handling. CoRR abs/2303.02442 (2023) - [i39]Yitong Ji, Aixin Sun, Jie Zhang:
Retraining A Graph-based Recommender with Interests Disentanglement. CoRR abs/2305.03624 (2023) - [i38]Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. CoRR abs/2305.19587 (2023) - [i37]Yu-Chen Fan, Yitong Ji, Jie Zhang, Aixin Sun:
Our Model Achieves Excellent Performance on MovieLens: What Does it Mean? CoRR abs/2307.09985 (2023) - [i36]Yingpeng Du, Di Luo, Rui Yan, Hongzhi Liu, Yang Song, Hengshu Zhu, Jie Zhang:
Enhancing Job Recommendation through LLM-based Generative Adversarial Networks. CoRR abs/2307.10747 (2023) - [i35]Yutong Wu, Jie Zhang, Florian Kerschbaum, Tianwei Zhang:
Backdooring Textual Inversion for Concept Censorship. CoRR abs/2308.10718 (2023) - [i34]Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King:
An Augmented Index-based Efficient Community Search for Large Directed Graphs. CoRR abs/2311.06487 (2023) - 2022
- [j91]Hui Fang, Xiaoming Li, Jie Zhang:
Integrating social influence modeling and user modeling for trust prediction in signed networks. Artif. Intell. 302: 103628 (2022) - [j90]Da Xiao, Shuo Chen, Wei Ni, Jie Zhang, Jian (Andrew) Zhang, Ren Ping Liu:
A sub-action aided deep reinforcement learning framework for latency-sensitive network slicing. Comput. Networks 217: 109279 (2022) - [j89]Wen Song, Zhiguang Cao, Jie Zhang, Chi Xu, Andrew Lim:
Learning variable ordering heuristics for solving Constraint Satisfaction Problems. Eng. Appl. Artif. Intell. 109: 104603 (2022) - [j88]Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Edward Kien Yee Yapp:
ACDC: Online unsupervised cross-domain adaptation. Knowl. Based Syst. 253: 109486 (2022) - [j87]Xiao Sha, Zhu Sun, Jie Zhang:
Disentangling Multi-Facet Social Relations for Recommendation. IEEE Trans. Comput. Soc. Syst. 9(3): 867-878 (2022) - [j86]Qidong Liu, Cheng Long, Jie Zhang, Mingliang Xu, Pei Lv:
TriATNE: Tripartite Adversarial Training for Network Embeddings. IEEE Trans. Cybern. 52(9): 9634-9645 (2022) - [j85]Mingsheng Fu, Anubha Agrawal, Athirai A. Irissappane, Jie Zhang, Liwei Huang, Hong Qu:
Deep Reinforcement Learning Framework for Category-Based Item Recommendation. IEEE Trans. Cybern. 52(11): 12028-12041 (2022) - [j84]Jingwen Li, Yining Ma, Ruize Gao, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang:
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem. IEEE Trans. Cybern. 52(12): 13572-13585 (2022) - [j83]Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang:
Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 23(3): 2306-2315 (2022) - [j82]Hongliang Guo, Xuejie Hou, Zhiguang Cao, Jie Zhang:
GP3: Gaussian Process Path Planning for Reliable Shortest Path in Transportation Networks. IEEE Trans. Intell. Transp. Syst. 23(8): 11575-11590 (2022) - [j81]Zhu Sun, Chen Li, Yu Lei, Lu Zhang, Jie Zhang, Shunpan Liang:
Point-of-Interest Recommendation for Users-Businesses With Uncertain Check-ins. IEEE Trans. Knowl. Data Eng. 34(12): 5925-5938 (2022) - [j80]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim:
Learning Improvement Heuristics for Solving Routing Problems. IEEE Trans. Neural Networks Learn. Syst. 33(9): 5057-5069 (2022) - [j79]Yuan Liu, Zehui Xiong, Qin Hu, Dusit Niyato, Jie Zhang, Chunyan Miao, Cyril Leung, Zhihong Tian:
VRepChain: A Decentralized and Privacy-Preserving Reputation System for Social Internet of Vehicles Based on Blockchain. IEEE Trans. Veh. Technol. 71(12): 13242-13253 (2022) - [c193]Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang:
Learning to Solve Routing Problems via Distributionally Robust Optimization. AAAI 2022: 9786-9794 - [c192]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs. ICLR 2022 - [c191]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
Do Loyal Users Enjoy Better Recommendations?: Understanding Recommender Accuracy from a Time Perspective. ICTIR 2022: 92-97 - [c190]Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu:
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences. IJCAI 2022: 3751-3757 - [c189]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin:
Graph Learning Assisted Multi-Objective Integer Programming. NeurIPS 2022 - [c188]Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Yajuan Sun:
Class-Incremental Learning via Knowledge Amalgamation. ECML/PKDD (3) 2022: 36-50 - [c187]Shen Xin, Yuhang Jiao, Cheng Long, Yuguang Wang, Xiaowei Wang, Sen Yang, Ji Liu, Jie Zhang:
Prototype Feature Extraction for Multi-task Learning. WWW 2022: 2472-2481 - [i33]Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang:
Learning to Solve Routing Problems via Distributionally Robust Optimization. CoRR abs/2202.07241 (2022) - [i32]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
Recommender May Not Favor Loyal Users. CoRR abs/2204.05927 (2022) - [i31]Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang:
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. CoRR abs/2206.10848 (2022) - [i30]Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang:
A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals. CoRR abs/2209.00472 (2022) - [i29]Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Yajuan Sun:
Class-Incremental Learning via Knowledge Amalgamation. CoRR abs/2209.02112 (2022) - [i28]Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels:
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning. CoRR abs/2209.06094 (2022) - [i27]Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish:
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. CoRR abs/2211.06793 (2022) - [i26]Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu:
Learning to Search for Job Shop Scheduling via Deep Reinforcement Learning. CoRR abs/2211.10936 (2022) - [i25]Jing Sun, Shuo Chen, Cong Zhang, Jie Zhang:
Decision-making with Imaginary Opponent Models. CoRR abs/2211.11940 (2022) - 2021
- [j78]Xiao Sha, Zhu Sun, Jie Zhang:
Hierarchical attentive knowledge graph embedding for personalized recommendation. Electron. Commer. Res. Appl. 48: 101071 (2021) - [j77]Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang:
Step-Wise Deep Learning Models for Solving Routing Problems. IEEE Trans. Ind. Informatics 17(7): 4861-4871 (2021) - [j76]Rémi Badonnel, Carol J. Fung, Sandra Scott-Hayward, Qi Li, Jie Zhang, Cristian Hesselman:
Guest Editors' Introduction: Special Issue on Latest Developments for Security Management of Networks and Services. IEEE Trans. Netw. Serv. Manag. 18(2): 1120-1124 (2021) - [c186]Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang:
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. AAAI 2021: 12042-12049 - [c185]Danni Peng, Xiaobo Hu, Anxiang Zeng, Jie Zhang:
Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract). AAAI 2021: 15863-15864 - [c184]Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang:
Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork. AAMAS 2021: 1308-1316 - [c183]Yuan Jiang, Zhiguang Cao, Jie Zhang:
Solving 3D Bin Packing Problem via Multimodal Deep Reinforcement Learning. AAMAS 2021: 1548-1550 - [c182]Leonid Zeynalvand, Tie Luo, Ewa Andrejczuk, Dusit Niyato, Sin G. Teo, Jie Zhang:
A Blockchain-Enabled Quantitative Approach to Trust and Reputation Management with Sparse Evidence. AAMAS 2021: 1707-1708 - [c181]Shen Xin, Zhao Li, Pengcheng Zou, Cheng Long, Jie Zhang, Jiajun Bu, Jingren Zhou:
ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce. ICDE 2021: 2499-2510 - [c180]Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang:
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem. NeurIPS 2021: 7472-7483 - [c179]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Learning Large Neighborhood Search Policy for Integer Programming. NeurIPS 2021: 30075-30087 - [c178]Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng:
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. RecSys 2021: 411-421 - [c177]Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu:
Adaptive Holding for Online Bottleneck Matching with Delays. SDM 2021: 235-243 - [c176]Jie Zhang:
Exploiting Human Trust to Improve Recommender Systems. UMAP (Adjunct Publication) 2021: 181 - [e9]Dongxia Wang, Rino Falcone, Jie Zhang:
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. CEUR Workshop Proceedings 3022, CEUR-WS.org 2021 [contents] - [i24]Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao:
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. CoRR abs/2107.03019 (2021) - [i23]Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Edward Kien Yee Yapp:
ACDC: Online Unsupervised Cross-Domain Adaptation. CoRR abs/2110.01326 (2021) - [i22]Jingwen Li, Yining Ma, Ruize Gao, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang:
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem. CoRR abs/2110.02629 (2021) - [i21]Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang:
Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning. CoRR abs/2110.02634 (2021) - [i20]Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang:
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem. CoRR abs/2110.07983 (2021) - [i19]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Learning Large Neighborhood Search Policy for Integer Programming. CoRR abs/2111.03466 (2021) - [i18]Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng:
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. CoRR abs/2111.04282 (2021) - 2020
- [j75]Hui Fang, Jie Zhang, Murat Sensoy:
A 2020 perspective on "A generalized stereotype learning approach and its instantiation in trust modeling". Electron. Commer. Res. Appl. 40: 100955 (2020) - [j74]Lu Zhang, Zhu Sun, Jie Zhang, Horst Kloeden, Felix Klanner:
Modeling hierarchical category transition for next POI recommendation with uncertain check-ins. Inf. Sci. 515: 169-190 (2020) - [j73]Chao Ma, Zhenbing Liu, Zhiguang Cao, Wen Song, Jie Zhang, Weiliang Zeng:
Cost-sensitive deep forest for price prediction. Pattern Recognit. 107: 107499 (2020) - [j72]Qidong Liu, Xin Zhou, Cheng Long, Jie Zhang, Mingliang Xu:
Learning Network Representations With Different Order Structural Information. IEEE Trans. Comput. Soc. Syst. 7(4): 907-914 (2020) - [j71]Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu:
Information Theoretical Analysis of Unfair Rating Attacks Under Subjectivity. IEEE Trans. Inf. Forensics Secur. 15: 816-828 (2020) - [c175]Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng:
An Attentional Recurrent Neural Network for Personalized Next Location Recommendation. AAAI 2020: 83-90 - [c174]Monidipa Das, Mahardhika Pratama, Jie Zhang, Yew-Soon Ong:
A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario. AAAI 2020: 3717-3724 - [c173]Shuo Chen, Ewa Andrejczuk, Zhiguang Cao, Jie Zhang:
AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism. AAAI 2020: 7095-7102 - [c172]Leonid Zeynalvand, Tie Luo, Jie Zhang:
COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment. AAAI 2020: 7317-7324 - [c171]Shen Xin, Yizhou Ye, Martin Ester, Cheng Long, Jie Zhang, Zhao Li, Kaiying Yuan, Yanghua Li:
Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion. CIKM 2020: 2845-2852 - [c170]Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King:
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. IJCAI 2020: 3544-3550 - [c169]Lu Zhang, Zhu Sun, Jie Zhang, Yu Lei, Chen Li, Ziqing Wu, Horst Kloeden, Felix Klanner:
An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins. IJCAI 2020: 3551-3557 - [c168]Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu:
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning. NeurIPS 2020 - [c167]Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, Cong Geng:
Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. RecSys 2020: 23-32 - [c166]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
A Re-visit of the Popularity Baseline in Recommender Systems. SIGIR 2020: 1749-1752 - [i17]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
A Re-visit of the Popularity Baseline in Recommender Systems. CoRR abs/2005.13829 (2020) - [i16]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
On Offline Evaluation of Recommender Systems. CoRR abs/2010.11060 (2020) - [i15]Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu:
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning. CoRR abs/2010.12367 (2020) - [i14]Yanshi Wang, Jie Zhang, Qing Da, Anxiang Zeng:
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction. CoRR abs/2011.11826 (2020) - [i13]Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang:
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. CoRR abs/2012.10638 (2020)
2010 – 2019
- 2019
- [j70]Zining Liu, Chong Long, Xiaolu Lu, Zehong Hu, Jie Zhang, Yafang Wang:
Which Channel to Ask My Question?: Personalized Customer Service Request Stream Routing Using Deep Reinforcement Learning. IEEE Access 7: 107744-107756 (2019) - [j69]Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke:
Research commentary on recommendations with side information: A survey and research directions. Electron. Commer. Res. Appl. 37 (2019) - [j68]Tie Luo, Jianwei Huang, Salil S. Kanhere, Jie Zhang, Sajal K. Das:
Improving IoT Data Quality in Mobile Crowd Sensing: A Cross Validation Approach. IEEE Internet Things J. 6(3): 5651-5664 (2019) - [j67]Wen Song, Donghun Kang, Jie Zhang, Zhiguang Cao, Hui Xi:
A Sampling Approach for Proactive Project Scheduling under Generalized Time-dependent Workability Uncertainty. J. Artif. Intell. Res. 64: 385-427 (2019) - [j66]Guozhu Meng, Matthew Patrick, Yinxing Xue, Yang Liu, Jie Zhang:
Securing Android App Markets via Modeling and Predicting Malware Spread Between Markets. IEEE Trans. Inf. Forensics Secur. 14(7): 1944-1959 (2019) - [j65]Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang:
Exploring Communities in Large Profiled Graphs. IEEE Trans. Knowl. Data Eng. 31(8): 1624-1629 (2019) - [j64]Jie Zhang, Jamal Bentahar, Rino Falcone, Timothy J. Norman, Murat Sensoy:
Introduction to the Special Section on Trust and AI. ACM Trans. Internet Techn. 19(4) (2019) - [c165]Xiaoming Li, Hui Fang, Jie Zhang:
Supervised User Ranking in Signed Social Networks. AAAI 2019: 184-191 - [c164]Zehong Hu, Jie Zhang, Zhao Li:
General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits. AAAI 2019: 6070-6078 - [c163]Zehong Hu, Zhen Wang, Zhao Li, Shichang Hu, Shasha Ruan, Jie Zhang:
Fraud Regulating Policy for E-Commerce via Constrained Contextual Bandits. AAMAS 2019: 1377-1385 - [c162]Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang:
Exploring Communities in Large Profiled Graphs (Extended Abstract). ICDE 2019: 2159-2160 - [c161]Monidipa Das, Mahardhika Pratama, Septiviana Savitri, Jie Zhang:
MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification. ICDM 2019: 110-119 - [c160]Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng:
Modeling Heterogeneous Influences for Point-of-Interest Recommendation in Location-Based Social Networks. ICWE 2019: 72-80 - [c159]Shuo Chen, Ewa Andrejczuk, Athirai Aravazhi Irissappane, Jie Zhang:
ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection. IJCAI 2019: 172-179 - [i12]Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang:
Exploring Communities in Large Profiled Graphs. CoRR abs/1901.05451 (2019) - [i11]Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke:
Research Commentary on Recommendations with Side Information: A Survey and Research Directions. CoRR abs/1909.12807 (2019) - [i10]Xiao Sha, Zhu Sun, Jie Zhang:
Attentive Knowledge Graph Embedding for Personalized Recommendation. CoRR abs/1910.08288 (2019) - [i9]Zining Liu, Chong Long, Xiaolu Lu, Zehong Hu, Jie Zhang, Yafang Wang:
Which Channel to Ask My Question? Personalized Customer Service RequestStream Routing using DeepReinforcement Learning. CoRR abs/1911.10521 (2019) - [i8]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim:
Learning Improvement Heuristics for Solving the Travelling Salesman Problem. CoRR abs/1912.05784 (2019) - [i7]Leonid Zeynalvand, Tie Luo, Jie Zhang:
COBRA: Context-aware Bernoulli Neural Networks for Reputation Assessment. CoRR abs/1912.08446 (2019) - [i6]Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim:
Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems. CoRR abs/1912.10762 (2019) - 2018
- [j63]Hui Fang, Jie Zhang, Murat Sensoy:
A generalized stereotype learning approach and its instantiation in trust modeling. Electron. Commer. Res. Appl. 30: 149-158 (2018) - [j62]Huihuai Qiu, Yun Liu, Guibing Guo, Zhu Sun, Jie Zhang, Hai Thanh Nguyen:
BPRH: Bayesian personalized ranking for heterogeneous implicit feedback. Inf. Sci. 453: 80-98 (2018) - [j61]Jie Zhang, Tanja Mitrovic, David Chin, Li Chen:
ACM UMAP 2018 - User Modeling, Adaptation and Personalization: 8-11 July, 2018 at NTU, Singapore. SIGWEB Newsl. 2018(Winter): 2:1-2:5 (2018) - [j60]Wen Song, Hui Xi, Donghun Kang, Jie Zhang:
An agent-based simulation system for multi-project scheduling under uncertainty. Simul. Model. Pract. Theory 86: 187-203 (2018) - [j59]Zehong Hu, Jie Zhang:
Toward General Robustness Evaluation of Incentive Mechanism Against Bounded Rationality. IEEE Trans. Comput. Soc. Syst. 5(3): 698-712 (2018) - [j58]Noel Sardana, Robin Cohen, Jie Zhang, Shuo Chen:
A Bayesian Multiagent Trust Model for Social Networks. IEEE Trans. Comput. Soc. Syst. 5(4): 995-1008 (2018) - [j57]Zhiguang Cao, Hongliang Guo, Jie Zhang:
A Multiagent-Based Approach for Vehicle Routing by Considering Both Arriving on Time and Total Travel Time. ACM Trans. Intell. Syst. Technol. 9(3): 25:1-25:21 (2018) - [c158]Xiaoming Li, Hui Fang, Jie Zhang:
FILE: A Novel Framework for Predicting Social Status in Signed Networks. AAAI 2018: 330-337 - [c157]Shuo Chen, Athirai Aravazhi Irissappane, Jie Zhang:
POMDP-Based Decision Making for Fast Event Handling in VANETs. AAAI 2018: 4646-4653 - [c156]Wen Song, Donghun Kang, Jie Zhang, Hui Xi:
Risk-Aware Proactive Scheduling via Conditional Value-at-Risk. AAAI 2018: 6278-6285 - [c155]Naitong Yu, Jie Zhang, Minlie Huang, Xiaoyan Zhu:
An Operation Network for Abstractive Sentence Compression. COLING 2018: 1065-1076 - [c154]Leonid Zeynalvand, Jie Zhang, Shuo Chen, Tony T. Luo:
MASA: Multi-Agent Subjectivity Alignment for Trustworthy Internet of Things. FUSION 2018: 2013-2020 - [c153]Zehong Hu, Jie Zhang:
A Novel Strategy for Active Task Assignment in Crowd Labeling. IJCAI 2018: 1538-1545 - [c152]Zehong Hu, Yitao Liang, Jie Zhang, Zhao Li, Yang Liu:
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. NeurIPS 2018: 5512-5522 - [c151]Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Long-Kai Huang, Chi Xu:
Recurrent knowledge graph embedding for effective recommendation. RecSys 2018: 297-305 - [c150]Xiaoming Li, Hui Fang, Qing Yang, Jie Zhang:
Who is Your Best Friend?: Ranking Social Network Friends According to Trust Relationship. UMAP 2018: 301-309 - [e8]Tanja Mitrovic, Jie Zhang, Li Chen, David Chin:
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, UMAP 2018, Singapore, July 08-11, 2018. ACM 2018 [contents] - [e7]Tanja Mitrovic, Jie Zhang, Li Chen, David Chin:
Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization, UMAP 2018, Singapore, July 08-11, 2018. ACM 2018 [contents] - [i5]Zehong Hu, Yitao Liang, Yang Liu, Jie Zhang:
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. CoRR abs/1806.00206 (2018) - 2017
- [j56]Athirai Aravazhi Irissappane, Jie Zhang:
Filtering unfair ratings from dishonest advisors in multi-criteria e-markets: a biclustering-based approach. Auton. Agents Multi Agent Syst. 31(1): 36-65 (2017) - [j55]Wen Song, Donghun Kang, Jie Zhang, Hui Xi:
A multi-unit combinatorial auction based approach for decentralized multi-project scheduling. Auton. Agents Multi Agent Syst. 31(6): 1548-1577 (2017) - [j54]Pradeep Varakantham, Bo An, Bryan Low, Jie Zhang:
Artificial Intelligence Research in Singapore: Assisting the Development of a Smart Nation. AI Mag. 38(3): 102-105 (2017) - [j53]Hongbing Wang, Hualan Wang, Guibing Guo, Yangyu Tang, Jie Zhang:
Measuring similarity of users with qualitative preferences for service selection. Knowl. Inf. Syst. 51(2): 561-594 (2017) - [j52]Guibing Guo, Jie Zhang, Feida Zhu, Xingwei Wang:
Factored similarity models with social trust for top-N item recommendation. Knowl. Based Syst. 122: 17-25 (2017) - [j51]Yuan Liu, Jie Zhang, Quanyan Zhu, Xingwei Wang:
CONGRESS: A Hybrid Reputation System for Coping with Rating Subjectivity. IEEE Trans. Comput. Soc. Syst. 4(3): 163-178 (2017) - [j50]Hongliang Guo, Zhiguang Cao, Madhavan Seshadri, Jie Zhang, Dusit Niyato, Ulrich Fastenrath:
Routing Multiple Vehicles Cooperatively: Minimizing Road Network Breakdown Probability. IEEE Trans. Emerg. Top. Comput. Intell. 1(2): 112-124 (2017) - [j49]Yinxing Xue, Guozhu Meng, Yang Liu, Tian Huat Tan, Hongxu Chen, Jun Sun, Jie Zhang:
Auditing Anti-Malware Tools by Evolving Android Malware and Dynamic Loading Technique. IEEE Trans. Inf. Forensics Secur. 12(7): 1529-1544 (2017) - [j48]Zhiguang Cao, Siwei Jiang, Jie Zhang, Hongliang Guo:
A Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion. IEEE Trans. Intell. Transp. Syst. 18(7): 1958-1973 (2017) - [j47]Hongbing Wang, Bin Zou, Guibing Guo, Danrong Yang, Jie Zhang:
Integrating Trust with User Preference for Effective Web Service Composition. IEEE Trans. Serv. Comput. 10(4): 574-588 (2017) - [j46]Chang Xu, Jie Zhang:
Collusive Opinion Fraud Detection in Online Reviews: A Probabilistic Modeling Approach. ACM Trans. Web 11(4): 25:1-25:28 (2017) - [c149]Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon:
Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation. AAAI 2017: 189-195 - [c148]Zhiguang Cao, Hongliang Guo, Jie Zhang, Frans A. Oliehoek, Ulrich Fastenrath:
Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method. AAAI 2017: 4481-4487 - [c147]Xiaoming Li, Hui Fang, Jie Zhang:
Rethinking the Link Prediction Problem in Signed Social Networks. AAAI 2017: 4955-4956 - [c146]Wen Song, Donghun Kang, Jie Zhang, Hui Xi:
A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty. AAAI 2017: 4985-4986 - [c145]Xiaoming Li, Hui Fang, Jie Zhang:
A Feature-Based Approach for the Redefined Link Prediction Problem in Signed Networks. ADMA 2017: 165-179 - [c144]Wen Song, Donghun Kang, Jie Zhang, Hui Xi:
Proactive Project Scheduling with Time-dependent Workability Uncertainty. AAMAS 2017: 221-229 - [c143]Qikun Xiang, Jie Zhang, Ido Nevat, Pengfei Zhang:
A Trust-based Mixture of Gaussian Processes Model for Robust Participatory Sensing. AAMAS 2017: 1760-1762 - [c142]Donghun Kang, Zhenchao C. Bing, Wen Song, Zehong Hu, Shuo Chen, Jie Zhang, Hui Xi:
Automatic Construction of Agent-based Simulation Using Business Process Diagrams and Ontology-based Models. AAMAS 2017: 1793-1795 - [c141]Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax:
Interacting Attention-gated Recurrent Networks for Recommendation. CIKM 2017: 1459-1468 - [c140]Audun Jøsang, Dongxia Wang, Jie Zhang:
Multi-source fusion in subjective logic. FUSION 2017: 1-8 - [c139]Audun Jøsang, Jie Zhang, Dongxia Wang:
Multi-source trust revision. FUSION 2017: 1-8 - [c138]Shuo Chen, Rongxing Lu, Jie Zhang:
A Flexible Privacy-Preserving Framework for Singular Value Decomposition Under Internet of Things Environment. IFIPTM 2017: 21-37 - [c137]Zehong Hu, Jie Zhang:
Optimal Posted-Price Mechanism in Microtask Crowdsourcing. IJCAI 2017: 228-234 - [c136]Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Yu Chen, Chi Xu:
MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation. IJCAI 2017: 2807-2813 - [c135]Qikun Xiang, Jie Zhang, Ido Nevat, Pengfei Zhang:
A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing. IJCAI 2017: 3866-3872 - [c134]Chang Xu, Jie Zhang, Zhu Sun:
Online Reputation Fraud Campaign Detection in User Ratings. IJCAI 2017: 3873-3879 - [c133]Madhavan Seshadri, Zhiguang Cao, Hongliang Guo, Jie Zhang, Ulrich Fastenrath:
Multiagent-based cooperative vehicle routing using node pressure and auctions. ITSC 2017: 1-7 - [c132]Magdalena Ivanovska, Audun Jøsang, Jie Zhang, Shuo Chen:
Joint Subjective Opinions. MDAI 2017: 220-233 - [c131]Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson:
CitRec 2017: International Workshop on Recommender Systems for Citizens. RecSys 2017: 388-389 - [c130]Zhu Sun, Guibing Guo, Jie Zhang:
Learning hierarchical category influence on both users and items for effective recommendation. SAC 2017: 1679-1684 - [c129]Qing Guo, Zhu Sun, Jie Zhang, Qi Chen, Yin-Leng Theng:
Aspect-aware Point-of-Interest Recommendation with Geo-Social Influence. UMAP (Adjunct Publication) 2017: 17-22 - [c128]Zhu Sun, Guibing Guo, Jie Zhang, Chi Xu:
A Unified Latent Factor Model for Effective Category-Aware Recommendation. UMAP 2017: 389-390 - [e6]Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson:
Proceedings of International Workshop on Citizens for Recommender Systems, CitRec@RecSys 2017, 31 August 2017, Como, Italy. ACM 2017 [contents] - [i4]Shuo Chen, Rongxing Lu, Jie Zhang:
A Flexible Privacy-preserving Framework for Singular Value Decomposition under Internet of Things Environment. CoRR abs/1703.06659 (2017) - [i3]Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax:
Interacting Attention-gated Recurrent Networks for Recommendation. CoRR abs/1709.01532 (2017) - [i2]Shuo Chen, Rongxing Lu, Jie Zhang:
An Efficient Fog-Assisted Unstable Sensor Detection Scheme with Privacy Preserved. CoRR abs/1711.10190 (2017) - 2016
- [j45]Yuan Liu, Jie Zhang, Bo An, Sandip Sen:
A simulation framework for measuring robustness of incentive mechanisms and its implementation in reputation systems. Auton. Agents Multi Agent Syst. 30(4): 581-600 (2016) - [j44]Akin Günay, Yang Liu, Jie Zhang:
ProMoca: Probabilistic Modeling and Analysis of Agents in Commitment Protocols. J. Artif. Intell. Res. 57: 465-508 (2016) - [j43]Robin Cohen, John Finnson, Thomas T. Tran, Jie Zhang:
An ontological representation for trust-based decision making in transportation environments. Multiagent Grid Syst. 12(4): 319-342 (2016) - [j42]Songzheng Song, Jianye Hao, Yang Liu, Jun Sun, Ho-fung Leung, Jie Zhang:
Improved EGT-Based Robustness Analysis of Negotiation Strategies in Multiagent Systems via Model Checking. IEEE Trans. Hum. Mach. Syst. 46(2): 197-208 (2016) - [j41]Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath:
Finding the Shortest Path in Stochastic Vehicle Routing: A Cardinality Minimization Approach. IEEE Trans. Intell. Transp. Syst. 17(6): 1688-1702 (2016) - [j40]Guibing Guo, Jie Zhang, Neil Yorke-Smith:
A Novel Recommendation Model Regularized with User Trust and Item Ratings. IEEE Trans. Knowl. Data Eng. 28(7): 1607-1620 (2016) - [j39]Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath:
Improving the Efficiency of Stochastic Vehicle Routing: A Partial Lagrange Multiplier Method. IEEE Trans. Veh. Technol. 65(6): 3993-4005 (2016) - [j38]Guibing Guo, Jie Zhang, Neil Yorke-Smith:
A Novel Evidence-Based Bayesian Similarity Measure for Recommender Systems. ACM Trans. Web 10(2): 8:1-8:30 (2016) - [c127]Athirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang:
A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs. AAAI 2016: 158-164 - [c126]Zehong Hu, Meng Sha, Moath H. A. Jarrah, Jie Zhang, Hui Xi:
Efficient Computation of Emergent Equilibrium in Agent-Based Simulation. AAAI 2016: 2501-2508 - [c125]Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu:
Is It Harmful When Advisors Only Pretend to Be Honest? AAAI 2016: 2551-2557 - [c124]Zhiguang Cao, Hongliang Guo, Jie Zhang, Ulrich Fastenrath:
Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time. AAAI 2016: 3814-3820 - [c123]Tim Muller, Jie Zhang, Yang Liu:
A Language for Trust Modelling. AAMAS Workshops (Visionary Papers) 2016: 1-12 - [c122]Qikun Xiang, Ido Nevat, Pengfei Zhang, Jie Zhang:
Collusion-resistant Spatial Phenomena Crowdsourcing via Mixture of Gaussian Processes Regression. TRUST@AAMAS 2016: 19-30 - [c121]Tim Muller, Jie Zhang, Yang Liu:
A Language for Trust Modelling. TRUST@AAMAS 2016: 63-70 - [c120]Wen Song, Donghun Kang, Jie Zhang, Hui Xi:
Decentralized Multi-Project Scheduling via Multi-Unit Combinatorial Auction. AAMAS 2016: 836-844 - [c119]Guozhu Meng, Yinxing Xue, Mahinthan Chandramohan, Annamalai Narayanan, Yang Liu, Jie Zhang, Tieming Chen:
Mystique: Evolving Android Malware for Auditing Anti-Malware Tools. AsiaCCS 2016: 365-376 - [c118]Tim Muller, Dongxia Wang, Yang Liu, Jie Zhang:
How to Use Information Theory to Mitigate Unfair Rating Attacks. IFIPTM 2016: 17-32 - [c117]Tim Muller, Yang Liu, Jie Zhang:
Limitations on Robust Ratings and Predictions. IFIPTM 2016: 113-126 - [c116]Hongliang Guo, Jie Zhang:
A Distributed and Scalable Machine Learning Approach for Big Data. IJCAI 2016: 1512-1518 - [c115]Guozhu Meng, Yinxing Xue, Zhengzi Xu, Yang Liu, Jie Zhang, Annamalai Narayanan:
Semantic modelling of Android malware for effective malware comprehension, detection, and classification. ISSTA 2016: 306-317 - [c114]Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang:
Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization. RecSys 2016: 51-58 - [c113]Zhu Sun, Guibing Guo, Jie Zhang:
Effective Recommendation with Category Hierarchy. UMAP 2016: 299-300 - [c112]Hui-Huai Qiu, Guibing Guo, Jie Zhang, Zhu Sun, Hai Thanh Nguyen, Yun Liu:
TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback. UMAP 2016: 305-306 - [e5]Jie Zhang, Zeinab Noorian, Stephen Marsh:
Incentives and Trust in Electronic Communities, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016. AAAI Technical Report WS-16-09, AAAI Press 2016 [contents] - [e4]Jie Zhang, Robin Cohen, Murat Sensoy:
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. CEUR Workshop Proceedings 1578, CEUR-WS.org 2016 [contents] - 2015
- [j37]Guozhu Meng, Yang Liu, Jie Zhang, Alexander Pokluda, Raouf Boutaba:
Collaborative Security: A Survey and Taxonomy. ACM Comput. Surv. 48(1): 1:1-1:42 (2015) - [j36]Hui Fang, Guibing Guo, Jie Zhang:
Multi-faceted trust and distrust prediction for recommender systems. Decis. Support Syst. 71: 37-47 (2015) - [j35]Athirai Aravazhi Irissappane, Jie Zhang:
A Case-Based Reasoning Framework to Choose Trust Models for Different E-Marketplace Environments. J. Artif. Intell. Res. 52: 477-505 (2015) - [j34]Guibing Guo, Jie Zhang, Neil Yorke-Smith:
Leveraging multiviews of trust and similarity to enhance clustering-based recommender systems. Knowl. Based Syst. 74: 14-27 (2015) - [j33]Peng Zhou, Xiaojing Gu, Jie Zhang, Minrui Fei:
A priori trust inference with context-aware stereotypical deep learning. Knowl. Based Syst. 88: 97-106 (2015) - [j32]Siwei Jiang, Jie Zhang, Yew-Soon Ong, Allan N. Zhang, Puay Siew Tan:
A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Cybern. 45(10): 2202-2213 (2015) - [j31]Peng Zhou, Siwei Jiang, Athirai Aravazhi Irissappane, Jie Zhang, Jianying Zhou, Joseph Chee Ming Teo:
Toward Energy-Efficient Trust System Through Watchdog Optimization for WSNs. IEEE Trans. Inf. Forensics Secur. 10(3): 613-625 (2015) - [j30]Timothy J. Norman, K. Suzanne Barber, Rino Falcone, Jie Zhang:
Introduction to Theme Section on Trust in Social Networks and Systems. ACM Trans. Internet Techn. 15(4): 12:1-12:2 (2015) - [j29]Aaditeshwar Seth, Jie Zhang, Robin Cohen:
A personalized credibility model for recommending messages in social participatory media environments. World Wide Web 18(1): 111-137 (2015) - [c111]Siyuan Liu, Chunyan Miao, Yuan Liu, Hui Fang, Han Yu, Jie Zhang, Yueting Chai, Cyril Leung:
A Reputation Revision Mechanism to Mitigate the Negative Effects of Misreported Ratings. ICEC 2015: 7:1-7:8 - [c110]Guibing Guo, Jie Zhang, Neil Yorke-Smith:
TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings. AAAI 2015: 123-129 - [c109]Akin Günay, Songzheng Song, Yang Liu, Jie Zhang:
Automated Analysis of Commitment Protocols Using Probabilistic Model Checking. AAAI 2015: 2060-2066 - [c108]Bin Li, Julia Yu, Jie Zhang, Bin Ke:
Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach. ACML 2015: 173-188 - [c107]Huanhuan Zhang, Jie Zhang, Carol J. Fung, Chang Xu:
Improving Sybil Detection via Graph Pruning and Regularization Techniques. ACML 2015: 189-204 - [c106]Tim Muller, Yang Liu, Jie Zhang:
The Fallacy of Endogenous Discounting of Trust Recommendations. AAMAS 2015: 563-572 - [c105]Dongxia Wang, Tim Muller, Athirai Aravazhi Irissappane, Jie Zhang, Yang Liu:
Using Information Theory to Improve the Robustness of Trust Systems. AAMAS 2015: 791-799 - [c104]Hui Xi, Chi Keong Goh, Partha Sarathi Dutta, Meng Sha, Jie Zhang:
An Agent-based Simulation System for Dynamic Project Scheduling and Online Disruption Resolving. AAMAS 2015: 1759-1760 - [c103]Chang Xu, Jie Zhang:
Towards Collusive Fraud Detection in Online Reviews. ICDM 2015: 1051-1056 - [c102]Hongbing Wang, Bin Zou, Guibing Guo, Jie Zhang, Zhengping Yang:
Optimal and Effective Web Service Composition with Trust and User Preference. ICWS 2015: 329-336 - [c101]Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu:
Quantifying Robustness of Trust Systems against Collusive Unfair Rating Attacks Using Information Theory. IJCAI 2015: 111-117 - [c100]Athirai Aravazhi Irissappane, Jie Zhang, Frans A. Oliehoek, Partha Sarathi Dutta:
Secure Routing in Wireless Sensor Networks via POMDPs. IJCAI 2015: 2617-2623 - [c99]Chang Xu, Jie Zhang:
Combating Product Review Spam Campaigns via Multiple Heterogeneous Pairwise Features. SDM 2015: 172-180 - [c98]Guibing Guo, Jie Zhang, Zhu Sun, Neil Yorke-Smith:
LibRec: A Java Library for Recommender Systems. UMAP Workshops 2015 - [c97]Zhu Sun, Guibing Guo, Jie Zhang:
Exploiting Implicit Item Relationships for Recommender Systems. UMAP 2015: 252-264 - [c96]Siyuan Liu, Chunyan Miao, Yuan Liu, Han Yu, Jie Zhang, Cyril Leung:
An Incentive Mechanism to Elicit Truthful Opinions for Crowdsourced Multiple Choice Consensus Tasks. WI-IAT (2) 2015: 96-103 - [c95]Akin Günay, Yang Liu, Jie Zhang, Partha Sarathi Dutta:
Automated Agent Behavior Construction for Protocol-Based Multiagent Systems. WI-IAT (2) 2015: 300-307 - [e3]Ali A. Ghorbani, Vicenç Torra, Hüseyin Hisil, Ali Miri, Ahmet Koltuksuz, Jie Zhang, Murat Sensoy, Joaquín García-Alfaro, Ibrahim Zincir:
13th Annual Conference on Privacy, Security and Trust, PST 2015, Izmir, Turkey, July 21-23, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-7828-4 [contents] - [i1]Athirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang:
Scaling POMDPs For Selecting Sellers in E-markets-Extended Version. CoRR abs/1511.09147 (2015) - 2014
- [j28]Zeinab Noorian, Jie Zhang, Yuan Liu, Stephen Marsh, Michael W. Fleming:
Trust-oriented buyer strategies for seller reporting and selection in competitive electronic marketplaces. Auton. Agents Multi Agent Syst. 28(6): 896-933 (2014) - [j27]Siyuan Liu, Jie Zhang, Chunyan Miao, Yin-Leng Theng, Alex C. Kot:
An Integrated Clustering-Based Approach to Filtering Unfair Multi-Nominal Testimonies. Comput. Intell. 30(2): 316-341 (2014) - [j26]Yao Wang, Jie Zhang, Julita Vassileva:
A Super-Agent-Based Framework for Reputation Management and Community Formation in Decentralized Systems. Comput. Intell. 30(4): 722-751 (2014) - [j25]Yuan Liu, Jie Zhang:
An incentive mechanism designed for e-marketplaces with limited inventory. Electron. Commer. Res. Appl. 13(2): 110-127 (2014) - [j24]Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann:
Reputation mechanism for e-commerce in virtual reality environments. Electron. Commer. Res. Appl. 13(6): 409-422 (2014) - [j23]Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith:
Leveraging prior ratings for recommender systems in e-commerce. Electron. Commer. Res. Appl. 13(6): 440-455 (2014) - [j22]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
Multiobjective optimization based on reputation. Inf. Sci. 286: 125-146 (2014) - [j21]Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, Ming Li, Bin Ma:
Estimating feature ratings through an effective review selection approach. Knowl. Inf. Syst. 38(2): 419-446 (2014) - [j20]Guibing Guo, Jie Zhang, Daniel Thalmann:
Merging trust in collaborative filtering to alleviate data sparsity and cold start. Knowl. Based Syst. 57: 57-68 (2014) - [j19]Siwei Jiang, Yew-Soon Ong, Jie Zhang, Liang Feng:
Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization. IEEE Trans. Cybern. 44(12): 2391-2404 (2014) - [c94]Yang Bao, Hui Fang, Jie Zhang:
TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation. AAAI 2014: 2-8 - [c93]Hui Fang, Yang Bao, Jie Zhang:
Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation. AAAI 2014: 30-36 - [c92]Yuan Liu, Siyuan Liu, Jie Zhang, Hui Fang, Han Yu, Chunyan Miao:
RepRev: Mitigating the Negative Effects of Misreported Ratings. AAAI 2014: 3124-3125 - [c91]Yuan Liu, Jie Zhang, Han Yu, Chunyan Miao:
Reputation-Aware Continuous Double Auction. AAAI 2014: 3126-3127 - [c90]Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith:
ETAF: An extended trust antecedents framework for trust prediction. ASONAM 2014: 540-547 - [c89]Hui Fang, Jie Zhang, Nadia Magnenat-Thalmann:
Subjectivity grouping: learning from users' rating behavior. AAMAS 2014: 1241-1248 - [c88]Athirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang:
A POMDP based approach to optimally select sellers in electronic marketplaces. AAMAS 2014: 1329-1336 - [c87]Yuan Liu, Jie Zhang, Bo An, Sandip Sen:
A practical robustness measure of incentive mechanisms. AAMAS 2014: 1379-1380 - [c86]Athirai Aravazhi Irissappane, Siwei Jiang, Jie Zhang:
A biclustering-based approach to filter dishonest advisors in multi-criteria e-marketplaces. AAMAS 2014: 1385-1386 - [c85]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
A pheromone-based traffic management model for vehicle re-routing and traffic light control. AAMAS 2014: 1479-1480 - [c84]Athirai Aravazhi Irissappane, Jie Zhang:
A testbed to evaluate the robustness of reputation systems in e-marketplaces. AAMAS 2014: 1629-1630 - [c83]Songzheng Song, Yang Liu, Jie Zhang, Jun Sun:
An extensive model checking framework for multi-agent systems. AAMAS 2014: 1645-1646 - [c82]Tim Muller, Yang Liu, Sjouke Mauw, Jie Zhang:
On Robustness of Trust Systems. IFIPTM 2014: 44-60 - [c81]Huanhuan Zhang, Chang Xu, Jie Zhang:
Exploiting Trust and Distrust Information to Combat Sybil Attack in Online Social Networks. IFIPTM 2014: 77-92 - [c80]Zhiguang Cao, Hongliang Guo, Jie Zhang, Dusit Niyato, Ulrich Fastenrath:
A data-driven method for stochastic shortest path problem. ITSC 2014: 1045-1052 - [c79]Hongliang Guo, Zhiguang Cao, Jie Zhang, Dusit Niyato, Ulrich Fastenrath:
Routing multiple cars in large scale networks: Minimizing road network breakdown probability. ITSC 2014: 2180-2187 - [c78]Guibing Guo, Jie Zhang, Daniel Thalmann, Anirban Basu, Neil Yorke-Smith:
From ratings to trust: an empirical study of implicit trust in recommender systems. SAC 2014: 248-253 - [c77]Anirban Basu, Juan Camilo Corena, Shinsaku Kiyomoto, Stephen Marsh, Jaideep Vaidya, Guibing Guo, Jie Zhang, Yutaka Miyake:
Privacy preserving trusted social feedback. SAC 2014: 1706-1711 - [c76]Zhiguang Cao, Qin Li, Hoon Wei Lim, Jie Zhang:
A multi-hop reputation announcement scheme for VANETs. SOLI 2014: 238-243 - [c75]Dongxia Wang, Tim Muller, Yang Liu, Jie Zhang:
Towards Robust and Effective Trust Management for Security: A Survey. TrustCom 2014: 511-518 - [c74]Zeinab Noorian, Mohsen Mohkami, Yuan Liu, Hui Fang, Julita Vassileva, Jie Zhang:
SocialTrust: Adaptive Trust Oriented Incentive Mechanism for Social Commerce. WI-IAT (1) 2014: 250-257 - [e2]Jianying Zhou, Nurit Gal-Oz, Jie Zhang, Ehud Gudes:
Trust Management VIII - 8th IFIP WG 11.11 International Conference, IFIPTM 2014, Singapore, July 7-10, 2014. Proceedings. IFIP Advances in Information and Communication Technology 430, Springer 2014, ISBN 978-3-662-43812-1 [contents] - 2013
- [j18]Joshua Gorner, Jie Zhang, Robin Cohen:
Improving trust modeling through the limit of advisor network size and use of referrals. Electron. Commer. Res. Appl. 12(2): 112-123 (2013) - [j17]Hui Fang, Jie Zhang, Yang Bao, Qinghua Zhu:
Towards effective online review systems in the Chinese context: A cross-cultural empirical study. Electron. Commer. Res. Appl. 12(3): 208-220 (2013) - [j16]Jie Zhang, Yuan Wang, Julita Vassileva:
SocConnect: A personalized social network aggregator and recommender. Inf. Process. Manag. 49(3): 721-737 (2013) - [j15]Jie Zhang, Chen Chen, Robin Cohen:
Trust modeling for message relay control and local action decision making in VANETs. Secur. Commun. Networks 6(1): 1-14 (2013) - [j14]Jie Zhang, Robin Cohen:
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. 4(2): 24:1-24:22 (2013) - [j13]Hongbing Wang, Jie Zhang, Cheng Wan, Shizhi Shao, Robin Cohen:
Qualitative preference-based service selection for multiple agents. Web Intell. Agent Syst. 11(3): 263-282 (2013) - [c73]Hui Fang, Jie Zhang, Nadia Magnenat-Thalmann:
A trust model stemmed from the diffusion theory for opinion evaluation. AAMAS 2013: 805-812 - [c72]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
An evolutionary model for constructing robust trust networks. AAMAS 2013: 813-820 - [c71]Yuan Liu, Jie Zhang:
Robustness evaluation of incentive mechanisms. AAMAS 2013: 1293-1294 - [c70]Chang Xu, Jie Zhang, Kuiyu Chang, Chong Long:
Uncovering collusive spammers in Chinese review websites. CIKM 2013: 979-988 - [c69]Robin Cohen, Noel Sardana, Kamal Rahim, Disney Yan Lam, M. Li, O. Maccarthy, E. Woo, Jie Zhang, Guibing Guo:
Recommending Messages to Users in Social Networks: A Cross-Site Study. ICMLA (2) 2013: 445-450 - [c68]Athirai Aravazhi Irissappane, Siwei Jiang, Jie Zhang:
A Framework to Choose Trust Models for Different E-Marketplace Environments. IJCAI 2013: 213-219 - [c67]Hui Fang, Yang Bao, Jie Zhang:
Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity. IJCAI 2013: 1983-1989 - [c66]Guibing Guo, Jie Zhang, Neil Yorke-Smith:
A Novel Bayesian Similarity Measure for Recommender Systems. IJCAI 2013: 2619-2625 - [c65]Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith:
Prior ratings: a new information source for recommender systems in e-commerce. RecSys 2013: 383-386 - [e1]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:
Eleventh Annual International Conference on Privacy, Security and Trust, PST 2013, 10-12 July, 2013, Tarragona, Catalonia, Spain, July 10-12, 2013. IEEE Computer Society 2013, ISBN 978-1-4673-5839-2 [contents] - 2012
- [j12]Jie Zhang, Robin Cohen, Kate Larson:
Combining Trust Modeling and Mechanism Design for promoting Honesty in E-Marketplaces. Comput. Intell. 28(4): 549-578 (2012) - [j11]Carol J. Fung, Jie Zhang, Raouf Boutaba:
Effective Acquaintance Management based on Bayesian Learning for Distributed Intrusion Detection Networks. IEEE Trans. Netw. Serv. Manag. 9(3): 320-332 (2012) - [j10]Qin Li, Amizah Malip, Keith M. Martin, Siaw-Lynn Ng, Jie Zhang:
A Reputation-Based Announcement Scheme for VANETs. IEEE Trans. Veh. Technol. 61(9): 4095-4108 (2012) - [c64]Yuan Liu, Jie Zhang, Qin Li:
Design of an incentive mechanism to promote honesty in e-marketplaces with limited inventory. ICEC 2012: 54-61 - [c63]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
A multiagent evolutionary framework based on trust for multiobjective optimization. AAMAS 2012: 299-306 - [c62]Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann:
SARC: subjectivity alignment for reputation computation. AAMAS 2012: 1365-1366 - [c61]Hongbing Wang, Jie Zhang, Wenlong Sun, Hongye Song, Guibing Guo, Xiang Zhou:
WCP-Nets: A Weighted Extension to CP-Nets for Web Service Selection. ICSOC 2012: 298-312 - [c60]Lizi Zhang, Siwei Jiang, Jie Zhang, Wee Keong Ng:
Robustness of Trust Models and Combinations for Handling Unfair Ratings. IFIPTM 2012: 36-51 - [c59]Yuan Liu, Jie Zhang, Qin Li:
An Incentive Mechanism to Promote Honesty in E-marketplaces with Limited Inventory. IFIPTM 2012: 209-216 - [c58]Xin Liu, Anwitaman Datta, Hui Fang, Jie Zhang:
Detecting Imprudence of 'Reliable' Sellers in Online Auction Sites. TrustCom 2012: 246-253 - [c57]Qin Li, Jie Zhang, Keith M. Martin:
Feedback as "Shadow of the Present": An Alternative to Reputation Systems for E-marketplaces. TrustCom 2012: 334-341 - [c56]Zeinab Noorian, Jie Zhang, Michael W. Fleming, Stephen Marsh:
Determining the Optimal Reporting Strategy in Competitive E-marketplaces. TrustCom 2012: 350-357 - [c55]Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann:
A Generalized Stereotypical Trust Model. TrustCom 2012: 698-705 - [c54]John Finnson, Robin Cohen, Jie Zhang, Thomas T. Tran, Umar Farooq Minhas:
Reasoning about user trustworthiness with non-binary advice from peers. UMAP Workshops 2012 - [c53]John Finnson, Jie Zhang, Thomas T. Tran, Umar Farooq Minhas, Robin Cohen:
A Framework for Modeling Trustworthiness of Users in Mobile Vehicular Ad-Hoc Networks and Its Validation through Simulated Traffic Flow. UMAP 2012: 76-87 - [c52]Guibing Guo, Jie Zhang, Daniel Thalmann:
A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems. UMAP 2012: 114-125 - [c51]Athirai Aravazhi Irissappane, Siwei Jiang, Jie Zhang:
Towards a comprehensive testbed to evaluate the robustness of reputation systems against unfair rating attack. UMAP Workshops 2012 - [c50]Cheng Wan, Jie Zhang, Athirai Aravazhi Irissappane:
A Context-Aware Framework for Detecting Unfair Ratings in an Unknown Real Environment. Web Intelligence 2012: 563-567 - [c49]Hongbing Wang, Jie Zhang, Hualan Wang, Yangyu Tang, Guibing Guo:
Service Selection Based on Similarity Measurement for Conditional Qualitative Preference. Web Intelligence 2012: 612-619 - 2011
- [j9]Malek Ben Salem, Bu-Sung Lee, Jie Zhang:
Cloud Computing. J. Internet Serv. Inf. Secur. 1(1): 1-3 (2011) - [j8]Carol J. Fung, Jie Zhang, Issam Aib, Raouf Boutaba:
Trust Management and Admission Control for Host-Based Collaborative Intrusion Detection. J. Netw. Syst. Manag. 19(2): 257-277 (2011) - [j7]Carol J. Fung, Jie Zhang, Issam Aib, Raouf Boutaba:
Dirichlet-Based Trust Management for Effective Collaborative Intrusion Detection Networks. IEEE Trans. Netw. Serv. Manag. 8(2): 79-91 (2011) - [j6]Umar Farooq Minhas, Jie Zhang, Thomas T. Tran, Robin Cohen:
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 41(3): 407-420 (2011) - [c48]Qin Li, Keith M. Martin, Jie Zhang:
Design of a multiagent-based e-marketplace to secure service trading on the internet. ICEC 2011: 1:1-1:9 - [c47]Jie Zhang:
A Survey on Trust Management for VANETs. AINA 2011: 105-112 - [c46]Hui Fang, Qinghua Zhu, Jie Zhang:
An Empirical Analysis of the Impact of Online Reviews on Product Sales in the Chinese Context. AINA 2011: 183-190 - [c45]Siyuan Liu, Jie Zhang, Chunyan Miao, Yin Leng Theng, Alex C. Kot:
iCLUB: an integrated clustering-based approach to improve the robustness of reputation systems. AAMAS 2011: 1151-1152 - [c44]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
Asymmetric Pareto-adaptive Scheme for Multiobjective Optimization. Australasian Conference on Artificial Intelligence 2011: 351-360 - [c43]John Champaign, Robin Cohen, Jie Zhang:
The Validation of an Annotations Approach to Peer Tutoring Through Simulation Incorporating the Modeling of Reputation. ICCE 2011 - [c42]Tuan-Anh Doan, Jie Zhang, William-Chandra Tjhi, Bu-Sung Lee:
Analyzing Students' Usage of E-Learning Systems in the Cloud for Course Management. ICCE 2011 - [c41]Siwei Jiang, Zhihua Cai, Jie Zhang, Yew-Soon Ong:
Multiobjective optimization by decomposition with Pareto-adaptive weight vectors. ICNC 2011: 1260-1264 - [c40]Hongbing Wang, Jie Zhang, Yangyu Tang, Shizhi Shao:
Collaborative Approaches to Complementing Qualitative Preferences of Agents for Effective Service Selection. ICTAI 2011: 51-58 - [c39]Joshua Gorner, Jie Zhang, Robin Cohen:
Improving the use of advisor networks for multi-agent trust modelling. PST 2011: 71-78 - [c38]Yuan Liu, Jie Zhang, Quanyan Zhu:
Design of a Reputation System Based on Dynamic Coalition Formation. SocInfo 2011: 135-144 - [c37]Lizi Zhang, Hui Fang, Wee Keong Ng, Jie Zhang:
IntRank: Interaction Ranking-Based Trustworthy Friend Recommendation. TrustCom 2011: 266-273 - [c36]Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann:
A Reputation Mechanism for Virtual Reality - Five-Sense Oriented Feedback Provision and Subjectivity Alignment. TrustCom 2011: 312-319 - [c35]John Champaign, Jie Zhang, Robin Cohen:
Coping with Poor Advice from Peers in Peer-Based Intelligent Tutoring: The Case of Avoiding Bad Annotations of Learning Objects. UMAP 2011: 38-49 - [c34]Julita Vassileva, Jie Zhang:
Trust, Reputation and User Modeling. UMAP Workshops 2011: 225-229 - [c33]Lizi Zhang, Cheun Pin Tan, Siyi Li, Hui Fang, Pramodh Rai, Yao Chen, Rohit Luthra, Wee Keong Ng, Jie Zhang:
The Influence of Interaction Attributes on Trust in Virtual Communities. UMAP Workshops 2011: 268-279 - [c32]Hui Fang, Murat Sensoy, Jie Zhang, Nadia Magnenat-Thalmann:
Handling Subjective User Feedback for Reputation Computation in Virtual Reality. UMAP Workshops 2011: 292-303 - [c31]Guibing Guo, Jie Zhang, Julita Vassileva:
Improving PGP Web of Trust through the Expansion of Trusted Neighborhood. Web Intelligence 2011: 489-494 - 2010
- [j5]Jie Zhang, Chen Chen, Robin Cohen:
A Scalable and Effective Trust-Based Framework for Vehicular Ad-Hoc Networks. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 1(4): 3-15 (2010) - [c30]Yuan Wang, Jie Zhang, Julita Vassileva:
Towards Effective Recommendation of Social Data across Social Networking Sites. AIMSA 2010: 61-70 - [c29]Carol J. Fung, Jie Zhang, Raouf Boutaba:
Effective acquaintance management for Collaborative Intrusion Detection Networks. CNSM 2010: 158-165 - [c28]Chong Long, Jie Zhang, Xiaoyan Zhu:
A Review Selection Approach for Accurate Feature Rating Estimation. COLING (Posters) 2010: 766-774 - [c27]Umar Farooq Minhas, Jie Zhang, Thomas T. Tran, Robin Cohen:
Intelligent Agents in Mobile Vehicular Ad-Hoc Networks: Leveraging Trust Modeling Based on Direct Experience with Incentives for Honesty. IAT 2010: 243-247 - [c26]Julita Vassileva, Detersa Deters, Jie Zhang:
Mechanism Design on Coursework Grading to Create Incentives for Student Learning. ICCE 2010 - [c25]Jie Zhang, William-Chandra Tjhi, Bu-Sung Lee, Gary Kee Khoon Lee, Julita Vassileva, Chee-Kit Looi:
A Framework of User-Driven Data Analytics in the Cloud for Course Management. ICCE 2010 - [c24]Jie Zhang, Robin Cohen, Kate Larson:
Leveraging a Social Network of Trust for Promoting Honesty in E-Marketplaces. IFIPTM 2010: 216-231 - [c23]Aaditeshwar Seth, Jie Zhang, Robin Cohen:
Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media. UMAP 2010: 279-290 - [c22]Chen Chen, Jie Zhang, Robin Cohen, Pin-Han Ho:
Secure and Efficient Trust Opinion Aggregation for Vehicular Ad-Hoc Networks. VTC Fall 2010: 1-5 - [c21]Yao Wang, Jie Zhang, Julita Vassileva:
Effective Web Service Selection via Communities Formed by Super-Agents. Web Intelligence 2010: 549-556 - [c20]Hongbing Wang, Jie Zhang, Cheng Wan, Shizhi Shao, Robin Cohen, Junjie Xu, Peicheng Li:
Web Service Selection for Multiple Agents with Incomplete Preferences. Web Intelligence 2010: 565-572
2000 – 2009
- 2009
- [j4]Murat Sensoy, Jie Zhang, Pinar Yolum, Robin Cohen:
POYRAZ: Context-Aware Service Selection under Deception. Comput. Intell. 25(4): 335-366 (2009) - [c19]Carol J. Fung, Jie Zhang, Issam Aib, Raouf Boutaba:
Robust and scalable trust management for collaborative intrusion detection. Integrated Network Management 2009: 33-40 - [c18]Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, Ming Li, Bin Ma:
Specialized Review Selection for Feature Rating Estimation. Web Intelligence 2009: 214-221 - 2008
- [j3]Jie Zhang, Robin Cohen:
Evaluating the trustworthiness of advice about seller agents in e-marketplaces: A personalized approach. Electron. Commer. Res. Appl. 7(3): 330-340 (2008) - [c17]Jie Zhang, Robin Cohen:
Seller Bidding in a Trust-Based Incentive Mechanism for Dynamic E-Marketplaces. Canadian AI 2008: 368-379 - [c16]Jie Zhang, Robin Cohen, Kate Larson:
A Trust-Based Incentive Mechanism for E-Marketplaces. AAMAS-TRUST 2008: 135-161 - [c15]Carol J. Fung, Olga Baysal, Jie Zhang, Issam Aib, Raouf Boutaba:
Trust Management for Host-Based Collaborative Intrusion Detection. DSOM 2008: 109-122 - [c14]Aaditeshwar Seth, Jie Zhang:
A Social Network Based Approach to Personalized Recommendation of Participatory Media Content. ICWSM 2008 - [c13]Jie Zhang, Murat Sensoy, Robin Cohen:
A Detailed Comparison of Probabilistic Approaches for Coping with Unfair Ratings in Trust and Reputation Systems. PST 2008: 189-200 - 2007
- [j2]Jie Zhang, Robin Cohen:
A Comprehensive Approach for Sharing Semantic Web Trust Ratings. Comput. Intell. 23(3): 302-319 (2007) - [j1]Jie Zhang, Ali A. Ghorbani, Robin Cohen:
A familiarity-based trust model for effective selection of sellers in multiagent e-commerce systems. Int. J. Inf. Sec. 6(5): 333-344 (2007) - [c12]Jie Zhang, Robin Cohen:
Design of a Mechanism for Promoting Honesty in E-Marketplaces. AAAI 2007: 1495-1500 - [c11]Jie Zhang, Robin Cohen:
Engendering Trust in Buying and Selling Agents by Discouraging the Reporting of Unfair Ratings. AAAI Spring Symposium: Interaction Challenges for Intelligent Assistants 2007: 139- - [c10]Jie Zhang, Robin Cohen:
An incentive mechanism for eliciting fair ratings of sellers in e-marketplaces. AAMAS 2007: 108 - [c9]Jie Zhang, Ali A. Ghorbani:
GUMSAWS: A Generic User Modeling Server for Adaptive Web Systems. CNSR 2007: 117-124 - [c8]Jie Zhang, Robin Cohen:
Engendering Trust in Buying and Selling Agents by Discouraging the Reporting of Unfair Ratings. Interaction Challenges for Intelligent Assistants 2007: 139- - 2006
- [c7]Jie Zhang, Robin Cohen:
Trusting advice from other buyers in e-marketplaces: the problem of unfair ratings. ICEC 2006: 225-234 - [c6]Jie Zhang, Robin Cohen:
A Trust Model for Sharing Ratings of Information Providers on the Semantic Web. CSWWS 2006: 45-61 - [c5]Jie Zhang, Ali A. Ghorbani, Robin Cohen:
An improved familiarity measurement for formalization of trust in e-commerce based multiagent systems. PST 2006: 19 - 2005
- [c4]Mehran Nadjarbashi-Noghani, Jie Zhang, Hossein Sadat, Ali A. Ghorbani:
PENS: A Personalized Electronic News System. CNSR 2005: 31-38 - [c3]Jie Zhang, Ali A. Ghorbani:
Value-Centric Trust Model with Improved Familiarity Measurement. IJCAI 2005: 1670-1671 - 2004
- [c2]Jie Zhang, Ali A. Ghorbani:
The Reconstruction of User Sessions from a Server Log Using Improved Time-Oriented Heuristics. CNSR 2004: 315-322 - [c1]Jie Zhang, Ali A. Ghorbani:
Familiarity and Trust: Measuring Familiarity with a Web Site. PST 2004: 23-28
Coauthor Index
[j108] [c207] [c206] [c203] [c202] [i55] [i48] [i46] [j102] [j100] [j99] [j97] [c198] [c197] [c195] [i41] [i40] [i38] [j89] [j84] [j83] [j82] [j80] [c193] [c192] [c189] [i33] [i28] [i26] [j77] [c186] [c183] [c180] [c179] [i22] [i21] [i20] [i19] [j73] [c173] [c168] [i15] [i13] [j67] [i8] [i6] [j57] [j50] [j48] [c148] [c133] [j41] [j39] [c124] [c80] [c79] [c76]
Athirai Aravazhi Irissappane
aka: Athirai A. Irissappane
aka: Athirai A. Irissappane
Yew-Soon Ong
aka: Yew Soon Ong
aka: Yew Soon Ong
[c215] [c214] [c212] [i59] [j111] [j107] [c205] [c204] [c201] [c200] [i58] [i56] [i43] [j103] [j95] [c196] [c194] [j87] [j81] [c190] [i31] [i30] [j78] [j74] [c175] [c169] [c167] [j69] [c160] [i11] [i10] [j62] [c151] [c149] [c141] [c136] [c134] [c131] [c130] [c129] [c128] [e6] [i3] [c114] [c113] [c112] [c98] [c97]
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