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Jie 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
(aka: Jie Zhang 0001) — University of Texas at Arlington (and 1 more)
- Jie Zhang 0003
- Jie Zhang 0004 — State Key Laboratory of Networking and Switching Technology, BUPT
- Jie Zhang 0005
- Jie Zhang 0006
- Jie Zhang 0007 (aka: Jie (Jerry) Zhang) — Google (and 1 more)
- Jie Zhang 0008
- Jie Zhang 0009 — University of British Columbia (and 1 more)
- Jie Zhang 0010
- Jie Zhang 0011 — Institute for Infocomm Research
- Jie Zhang 0012
- 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
- 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
- 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
- Jie Zhang 0028
- Jie Zhang 0029
- Jie Zhang 0030
- Jie Zhang 0031
- Jie Zhang 0032
- Jie Zhang 0033
- Jie Zhang 0034
- 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
- Jie Zhang 0039
- Jie Zhang 0040
- Jie Zhang 0041
- Jie Zhang 0042
- Jie Zhang 0043 — Hunan University, College of Computer Science and Electronics Engineering, Changsha, China
- Jie Zhang 0044
- 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
- Jie Zhang 0049
- Jie Zhang 0050
- Jie Zhang 0051
- Jie Zhang 0052
- Jie Zhang 0053
- Jie Zhang 0054
- Jie Zhang 0055
- Jie Zhang 0056
- Jie Zhang 0057 — Southwest University, School of Electronic and Information Engineering, Chongqing, China
- Jie Zhang 0058
- Jie Zhang 0059
- Jie Zhang 0060
- Jie Zhang 0061
- Jie Zhang 0062
- Jie Zhang 0063
- Jie Zhang 0064
- Jie Zhang 0065
- Jie Zhang 0066
- Jie Zhang 0067
- Jie Zhang 0068
- Jie Zhang 0069
- Jie Zhang 0070
- Jie Zhang 0071
- Jie Zhang 0072
- Jie Zhang 0073
- Jie Zhang 0074
- Jie Zhang 0075
- Jie Zhang 0076
- Jie Zhang 0077
- Jie Zhang 0078 — Tsinghua University, Department of Computer Science, Beijing, China
- Jie Zhang 0079
- Jie Zhang 0080
- Jie Zhang 0081
- Jie Zhang 0082
- Jie Zhang 0083
- Jie Zhang 0084
- 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
- Jie Zhang 0087
- Jie Zhang 0088
- Jie Zhang 0089
- Jie Zhang 0090
- 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
- Jie Zhang 0094
- Jie Zhang 0095
- Jie Zhang 0096 — University of Washington, WA, USA
- Jie Zhang 0097
- Jie Zhang 0098
- Jie Zhang 0099
- Jie Zhang 0100
- Jie Zhang 0101
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2020 – today
- 2024
- [j110]Weiwei Weng, Mahardhika Pratama
Cross-domain continual learning via CLAMP. Inf. Sci. 676: 120813 (2024) - [j109]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) - [j108]Xiao Sha
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) - [j107]Liwei Huang
A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4246-4259 (2024) - [j106]Qidong Liu
Aspect-Aware Graph Attention Network for Heterogeneous Information Networks. IEEE Trans. Neural Networks Learn. Syst. 35(5): 7259-7266 (2024) - [j105]Zhu Sun
A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals. ACM Trans. Inf. Syst. 42(1): 15:1-15:28 (2024) - [j104]Yuxin Ni
Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System. ACM Trans. Inf. Syst. 42(1): 28:1-28:27 (2024) - [c204]Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks. AAAI 2024: 8363-8371 - [c203]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 - [c202]Marcus de Carvalho, Mahardhika Pratama
Towards Cross-Domain Continual Learning. ICDE 2024: 1131-1142 - [c201]Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang:
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling. ICLR 2024 - [c200]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 - [c199]Yingpeng Du
Disentangled Multi-interest Representation Learning for Sequential Recommendation. KDD 2024: 677-688 - [c198]Youchen Sun
Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation. KDD 2024: 2806-2817 - [c197]Haoyan Chua
Unified Denoising Training for Recommendation. RecSys 2024: 612-621 - [c196]Huizhong Guo
Configurable Fairness for New Item Recommendation Considering Entry Time of Items. SIGIR 2024: 437-447 - [i49]Yingpeng Du, Ziyan Wang, Zhu Sun, Haoyan Chua, Hongzhi Liu
Large Language Model with Graph Convolution for Recommendation. CoRR abs/2402.08859 (2024) - [i48]Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Haoyan Chua, Edward Kien Yee Yapp:
Towards Cross-Domain Continual Learning. CoRR abs/2402.12490 (2024) - [i47]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) - [i46]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) - [i45]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) - [i44]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) - [i43]Yunwen Xia, Hui Fang, Jie Zhang, Chong Long:
Leveraging Knowledge Graph Embedding for Effective Conversational Recommendation. CoRR abs/2408.01342 (2024) - [i42]Xin Zhou, Aixin Sun, Jie Zhang, Donghui Lin:
The Crowd in MOOCs: A Study of Learning Patterns at Scale. CoRR abs/2408.03025 (2024) - [i41]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) - 2023
- [j103]Shi Yuan Tang
Teacher-apprentices RL (TARL): leveraging complex policy distribution through generative adversarial hypernetwork in reinforcement learning. Auton. Agents Multi Agent Syst. 37(2): 25 (2023) - [j102]Zhu Sun
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8206-8226 (2023) - [j101]Yuan Jiang
Learning to Solve 3-D Bin Packing Problem via Deep Reinforcement Learning and Constraint Programming. IEEE Trans. Cybern. 53(5): 2864-2875 (2023) - [j100]Mingsheng Fu
A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations. IEEE Trans. Ind. Informatics 19(2): 2049-2061 (2023) - [j99]Rongkai Zhang
Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 24(1): 1325-1336 (2023) - [j98]Yaoxin Wu, Jianan Zhou
Neural Airport Ground Handling. IEEE Trans. Intell. Transp. Syst. 24(12): 15652-15666 (2023) - [j97]Qiang He
Dynamic Opinion Maximization in Social Networks. IEEE Trans. Knowl. Data Eng. 35(1): 350-361 (2023) - [j96]Jianan Zhou
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. IEEE Trans. Knowl. Data Eng. 35(9): 9769-9782 (2023) - [j95]Kaixin Wang
Single-Site Perishable Inventory Management Under Uncertainties: A Deep Reinforcement Learning Approach. IEEE Trans. Knowl. Data Eng. 35(10): 10807-10813 (2023) - [j94]Lu Zhang
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) - [j93]Yitong Ji
A Critical Study on Data Leakage in Recommender System Offline Evaluation. ACM Trans. Inf. Syst. 41(3): 75:1-75:27 (2023) - [j92]Xin Zhou
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. Trans. Recomm. Syst. 1(2): 1-25 (2023) - [j91]Yuan Liu
A Semi-Centralized Trust Management Model Based on Blockchain for Data Exchange in IoT System. IEEE Trans. Serv. Comput. 16(2): 858-871 (2023) - [c195]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 - [c194]Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. ICML 2023: 42769-42789 - [c193]Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang:
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift. NeurIPS 2023 - [c192]Youchen Sun
Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction. RecSys 2023: 613-624 - [c191]Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Jie Zhang:
Multi-view graph contrastive learning for solving vehicle routing problems. UAI 2023: 984-994 - [c190]Yong Liu
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] - [i40]Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. CoRR abs/2302.13797 (2023) - [i39]Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang:
Neural Airport Ground Handling. CoRR abs/2303.02442 (2023) - [i38]Yitong Ji, Aixin Sun
Retraining A Graph-based Recommender with Interests Disentanglement. CoRR abs/2305.03624 (2023) - [i37]Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. CoRR abs/2305.19587 (2023) - [i36]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) - [i35]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) - [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
- [j90]Hui Fang, Xiaoming Li, Jie Zhang:
Integrating social influence modeling and user modeling for trust prediction in signed networks. Artif. Intell. 302: 103628 (2022) - [j89]Da Xiao
A sub-action aided deep reinforcement learning framework for latency-sensitive network slicing. Comput. Networks 217: 109279 (2022) - [j88]Wen Song
Learning variable ordering heuristics for solving Constraint Satisfaction Problems. Eng. Appl. Artif. Intell. 109: 104603 (2022) - [j87]Marcus de Carvalho, Mahardhika Pratama
ACDC: Online unsupervised cross-domain adaptation. Knowl. Based Syst. 253: 109486 (2022) - [j86]Xiao Sha
Disentangling Multi-Facet Social Relations for Recommendation. IEEE Trans. Comput. Soc. Syst. 9(3): 867-878 (2022) - [j85]Qi-dong Liu
TriATNE: Tripartite Adversarial Training for Network Embeddings. IEEE Trans. Cybern. 52(9): 9634-9645 (2022) - [j84]Mingsheng Fu
Deep Reinforcement Learning Framework for Category-Based Item Recommendation. IEEE Trans. Cybern. 52(11): 12028-12041 (2022) - [j83]Jingwen Li
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem. IEEE Trans. Cybern. 52(12): 13572-13585 (2022) - [j82]Jingwen Li
Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 23(3): 2306-2315 (2022) - [j81]Hongliang Guo
GP3: Gaussian Process Path Planning for Reliable Shortest Path in Transportation Networks. IEEE Trans. Intell. Transp. Syst. 23(8): 11575-11590 (2022) - [j80]Zhu Sun
Point-of-Interest Recommendation for Users-Businesses With Uncertain Check-ins. IEEE Trans. Knowl. Data Eng. 34(12): 5925-5938 (2022) - [j79]Yaoxin Wu
Learning Improvement Heuristics for Solving Routing Problems. IEEE Trans. Neural Networks Learn. Syst. 33(9): 5057-5069 (2022) - [j78]Yuan Liu
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) - [c189]Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang:
Learning to Solve Routing Problems via Distributionally Robust Optimization. AAAI 2022: 9786-9794 - [c188]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs. ICLR 2022 - [c187]Yitong Ji, Aixin Sun
Do Loyal Users Enjoy Better Recommendations?: Understanding Recommender Accuracy from a Time Perspective. ICTIR 2022: 92-97 - [c186]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 - [c185]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin:
Graph Learning Assisted Multi-Objective Integer Programming. NeurIPS 2022 - [c184]Marcus de Carvalho, Mahardhika Pratama
Class-Incremental Learning via Knowledge Amalgamation. ECML/PKDD (3) 2022: 36-50 - [c183]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
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
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
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
- [j77]Xiao Sha
Hierarchical attentive knowledge graph embedding for personalized recommendation. Electron. Commer. Res. Appl. 48: 101071 (2021) - [j76]Liang Xin
Step-Wise Deep Learning Models for Solving Routing Problems. IEEE Trans. Ind. Informatics 17(7): 4861-4871 (2021) - [j75]Rémi Badonnel
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) - [c182]Liang Xin, Wen Song, Zhiguang Cao
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. AAAI 2021: 12042-12049 - [c181]Danni Peng, Xiaobo Hu, Anxiang Zeng, Jie Zhang:
Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract). AAAI 2021: 15863-15864 - [c180]Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang:
Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork. AAMAS 2021: 1308-1316 - [c179]Yuan Jiang, Zhiguang Cao, Jie Zhang:
Solving 3D Bin Packing Problem via Multimodal Deep Reinforcement Learning. AAMAS 2021: 1548-1550 - [c178]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 - [c177]Shen Xin, Zhao Li
ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce. ICDE 2021: 2499-2510 - [c176]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 - [c175]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Learning Large Neighborhood Search Policy for Integer Programming. NeurIPS 2021: 30075-30087 - [c174]Danni Peng
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. RecSys 2021: 411-421 - [c173]Kaixin Wang, Cheng Long, Yongxin Tong, Jie Zhang, Yi Xu:
Adaptive Holding for Online Bottleneck Matching with Delays. SDM 2021: 235-243 - [c172]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
- [j74]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) - [j73]Lu Zhang
Modeling hierarchical category transition for next POI recommendation with uncertain check-ins. Inf. Sci. 515: 169-190 (2020) - [j72]Chao Ma, Zhenbing Liu, Zhiguang Cao
Cost-sensitive deep forest for price prediction. Pattern Recognit. 107: 107499 (2020) - [j71]Qi-dong Liu
Learning Network Representations With Different Order Structural Information. IEEE Trans. Comput. Soc. Syst. 7(4): 907-914 (2020) - [j70]Dongxia Wang
Information Theoretical Analysis of Unfair Rating Attacks Under Subjectivity. IEEE Trans. Inf. Forensics Secur. 15: 816-828 (2020) - [c171]Qing Guo, Zhu Sun
An Attentional Recurrent Neural Network for Personalized Next Location Recommendation. AAAI 2020: 83-90 - [c170]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 - [c169]Shuo Chen, Ewa Andrejczuk, Zhiguang Cao
AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism. AAAI 2020: 7095-7102 - [c168]Leonid Zeynalvand, Tie Luo, Jie Zhang:
COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment. AAAI 2020: 7317-7324 - [c167]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 - [c166]Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. IJCAI 2020: 3544-3550 - [c165]Lu Zhang, Zhu Sun
An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins. IJCAI 2020: 3551-3557 - [c164]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 - [c163]Zhu Sun
Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. RecSys 2020: 23-32 - [c162]Yitong Ji, Aixin Sun
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
- [j69]Zining Liu
Which Channel to Ask My Question?: Personalized Customer Service Request Stream Routing Using Deep Reinforcement Learning. IEEE Access 7: 107744-107756 (2019) - [j68]Zhu Sun
Research commentary on recommendations with side information: A survey and research directions. Electron. Commer. Res. Appl. 37 (2019) - [j67]Tie Luo
Improving IoT Data Quality in Mobile Crowd Sensing: A Cross Validation Approach. IEEE Internet Things J. 6(3): 5651-5664 (2019) - [j66]Wen Song
A Sampling Approach for Proactive Project Scheduling under Generalized Time-dependent Workability Uncertainty. J. Artif. Intell. Res. 64: 385-427 (2019) - [j65]Guozhu Meng
Securing Android App Markets via Modeling and Predicting Malware Spread Between Markets. IEEE Trans. Inf. Forensics Secur. 14(7): 1944-1959 (2019) - [j64]Yankai Chen
Exploring Communities in Large Profiled Graphs. IEEE Trans. Knowl. Data Eng. 31(8): 1624-1629 (2019) - [j63]Jie Zhang, Jamal Bentahar
Introduction to the Special Section on Trust and AI. ACM Trans. Internet Techn. 19(4) (2019) - [c161]Xiaoming Li, Hui Fang, Jie Zhang:
Supervised User Ranking in Signed Social Networks. AAAI 2019: 184-191 - [c160]Zehong Hu, Jie Zhang, Zhao Li:
General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits. AAAI 2019: 6070-6078 - [c159]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 - [c158]Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang:
Exploring Communities in Large Profiled Graphs (Extended Abstract). ICDE 2019: 2159-2160 - [c157]Monidipa Das
MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification. ICDM 2019: 110-119 - [c156]Qing Guo, Zhu Sun
Modeling Heterogeneous Influences for Point-of-Interest Recommendation in Location-Based Social Networks. ICWE 2019: 72-80 - [c155]Shuo Chen, Ewa Andrejczuk, Athirai Aravazhi Irissappane
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
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
- [j62]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) - [j61]Huihuai Qiu, Yun Liu
BPRH: Bayesian personalized ranking for heterogeneous implicit feedback. Inf. Sci. 453: 80-98 (2018) - [j60]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) - [j59]Wen Song
An agent-based simulation system for multi-project scheduling under uncertainty. Simul. Model. Pract. Theory 86: 187-203 (2018) - [j58]Zehong Hu
Toward General Robustness Evaluation of Incentive Mechanism Against Bounded Rationality. IEEE Trans. Comput. Soc. Syst. 5(3): 698-712 (2018) - [j57]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) - [j56]Zhiguang Cao
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) - [c154]Xiaoming Li, Hui Fang, Jie Zhang:
FILE: A Novel Framework for Predicting Social Status in Signed Networks. AAAI 2018: 330-337 - [c153]Shuo Chen, Athirai Aravazhi Irissappane, Jie Zhang:
POMDP-Based Decision Making for Fast Event Handling in VANETs. AAAI 2018: 4646-4653 - [c152]Wen Song, Donghun Kang, Jie Zhang, Hui Xi:
Risk-Aware Proactive Scheduling via Conditional Value-at-Risk. AAAI 2018: 6278-6285 - [c151]Naitong Yu, Jie Zhang, Minlie Huang, Xiaoyan Zhu:
An Operation Network for Abstractive Sentence Compression. COLING 2018: 1065-1076 - [c150]Leonid Zeynalvand, Jie Zhang, Shuo Chen, Tony T. Luo
MASA: Multi-Agent Subjectivity Alignment for Trustworthy Internet of Things. FUSION 2018: 2013-2020 - [c149]Zehong Hu, Jie Zhang:
A Novel Strategy for Active Task Assignment in Crowd Labeling. IJCAI 2018: 1538-1545 - [c148]Zehong Hu, Yitao Liang, Jie Zhang, Zhao Li, Yang Liu:
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. NeurIPS 2018: 5512-5522 - [c147]Zhu Sun
Recurrent knowledge graph embedding for effective recommendation. RecSys 2018: 297-305 - [c146]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
- [j55]Athirai Aravazhi Irissappane
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) - [j54]Wen Song
A multi-unit combinatorial auction based approach for decentralized multi-project scheduling. Auton. Agents Multi Agent Syst. 31(6): 1548-1577 (2017) - [j53]Pradeep Varakantham
Artificial Intelligence Research in Singapore: Assisting the Development of a Smart Nation. AI Mag. 38(3): 102-105 (2017) - [j52]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) - [j51]Guibing Guo, Jie Zhang, Feida Zhu
Factored similarity models with social trust for top-N item recommendation. Knowl. Based Syst. 122: 17-25 (2017) - [j50]Yuan Liu
CONGRESS: A Hybrid Reputation System for Coping with Rating Subjectivity. IEEE Trans. Comput. Soc. Syst. 4(3): 163-178 (2017) - [j49]Hongliang Guo, Zhiguang Cao
Routing Multiple Vehicles Cooperatively: Minimizing Road Network Breakdown Probability. IEEE Trans. Emerg. Top. Comput. Intell. 1(2): 112-124 (2017) - [j48]Yinxing Xue, Guozhu Meng
Auditing Anti-Malware Tools by Evolving Android Malware and Dynamic Loading Technique. IEEE Trans. Inf. Forensics Secur. 12(7): 1529-1544 (2017) - [j47]Zhiguang Cao
A Unified Framework for Vehicle Rerouting and Traffic Light Control to Reduce Traffic Congestion. IEEE Trans. Intell. Transp. Syst. 18(7): 1958-1973 (2017) - [j46]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) - [j45]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) - [c145]Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon:
Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation. AAAI 2017: 189-195 - [c144]Zhiguang Cao
Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method. AAAI 2017: 4481-4487 - [c143]Xiaoming Li, Hui Fang, Jie Zhang:
Rethinking the Link Prediction Problem in Signed Social Networks. AAAI 2017: 4955-4956 - [c142]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 - [c141]Xiaoming Li, Hui Fang, Jie Zhang:
A Feature-Based Approach for the Redefined Link Prediction Problem in Signed Networks. ADMA 2017: 165-179 - [c140]Wen Song, Donghun Kang, Jie Zhang, Hui Xi:
Proactive Project Scheduling with Time-dependent Workability Uncertainty. AAMAS 2017: 221-229 - [c139]Qikun Xiang, Jie Zhang, Ido Nevat, Pengfei Zhang:
A Trust-based Mixture of Gaussian Processes Model for Robust Participatory Sensing. AAMAS 2017: 1760-1762 - [c138]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 - [c137]Wenjie Pei, Jie Yang
Interacting Attention-gated Recurrent Networks for Recommendation. CIKM 2017: 1459-1468 - [c136]Audun Jøsang
Multi-source fusion in subjective logic. FUSION 2017: 1-8 - [c135]Audun Jøsang
Multi-source trust revision. FUSION 2017: 1-8 - [c134]Shuo Chen, Rongxing Lu, Jie Zhang:
A Flexible Privacy-Preserving Framework for Singular Value Decomposition Under Internet of Things Environment. IFIPTM 2017: 21-37 - [c133]Zehong Hu, Jie Zhang:
Optimal Posted-Price Mechanism in Microtask Crowdsourcing. IJCAI 2017: 228-234 - [c132]Zhu Sun
MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation. IJCAI 2017: 2807-2813 - [c131]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 - [c130]Chang Xu, Jie Zhang, Zhu Sun
Online Reputation Fraud Campaign Detection in User Ratings. IJCAI 2017: 3873-3879 - [c129]Madhavan Seshadri, Zhiguang Cao
Multiagent-based cooperative vehicle routing using node pressure and auctions. ITSC 2017: 1-7 - [c128]Magdalena Ivanovska, Audun Jøsang
Joint Subjective Opinions. MDAI 2017: 220-233 - [c127]Jie Yang
CitRec 2017: International Workshop on Recommender Systems for Citizens. RecSys 2017: 388-389 - [c126]Zhu Sun
Learning hierarchical category influence on both users and items for effective recommendation. SAC 2017: 1679-1684 - [c125]Qing Guo, Zhu Sun
Aspect-aware Point-of-Interest Recommendation with Geo-Social Influence. UMAP (Adjunct Publication) 2017: 17-22 - [c124]Zhu Sun
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
- [j44]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) - [j43]Akin Günay, Yang Liu
ProMoca: Probabilistic Modeling and Analysis of Agents in Commitment Protocols. J. Artif. Intell. Res. 57: 465-508 (2016) - [j42]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) - [j41]Songzheng Song, Jianye Hao, Yang Liu
Improved EGT-Based Robustness Analysis of Negotiation Strategies in Multiagent Systems via Model Checking. IEEE Trans. Hum. Mach. Syst. 46(2): 197-208 (2016) - [j40]Zhiguang Cao
Finding the Shortest Path in Stochastic Vehicle Routing: A Cardinality Minimization Approach. IEEE Trans. Intell. Transp. Syst. 17(6): 1688-1702 (2016) - [j39]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) - [j38]Zhiguang Cao
Improving the Efficiency of Stochastic Vehicle Routing: A Partial Lagrange Multiplier Method. IEEE Trans. Veh. Technol. 65(6): 3993-4005 (2016) - [j37]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) - [c123]Athirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang:
A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs. AAAI 2016: 158-164 - [c122]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 - [c121]Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu:
Is It Harmful When Advisors Only Pretend to Be Honest? AAAI 2016: 2551-2557 - [c120]Zhiguang Cao
Multiagent-Based Route Guidance for Increasing the Chance of Arrival on Time. AAAI 2016: 3814-3820 - [c119]Tim Muller, Jie Zhang, Yang Liu
A Language for Trust Modelling. AAMAS Workshops (Visionary Papers) 2016: 1-12 - [c118]Qikun Xiang, Ido Nevat, Pengfei Zhang, Jie Zhang:
Collusion-resistant Spatial Phenomena Crowdsourcing via Mixture of Gaussian Processes Regression. TRUST@AAMAS 2016: 19-30 - [c117]Tim Muller, Jie Zhang, Yang Liu:
A Language for Trust Modelling. TRUST@AAMAS 2016: 63-70 - [c116]Wen Song, Donghun Kang, Jie Zhang, Hui Xi:
Decentralized Multi-Project Scheduling via Multi-Unit Combinatorial Auction. AAMAS 2016: 836-844 - [c115]Guozhu Meng, Yinxing Xue, Mahinthan Chandramohan, Annamalai Narayanan, Yang Liu
Mystique: Evolving Android Malware for Auditing Anti-Malware Tools. AsiaCCS 2016: 365-376 - [c114]Tim Muller, Dongxia Wang, Yang Liu
How to Use Information Theory to Mitigate Unfair Rating Attacks. IFIPTM 2016: 17-32 - [c113]Tim Muller, Yang Liu
Limitations on Robust Ratings and Predictions. IFIPTM 2016: 113-126 - [c112]Hongliang Guo, Jie Zhang:
A Distributed and Scalable Machine Learning Approach for Big Data. IJCAI 2016: 1512-1518 - [c111]Guozhu Meng, Yinxing Xue, Zhengzi Xu, Yang Liu
Semantic modelling of Android malware for effective malware comprehension, detection, and classification. ISSTA 2016: 306-317 - [c110]Jie Yang
Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization. RecSys 2016: 51-58 - [c109]Zhu Sun
Effective Recommendation with Category Hierarchy. UMAP 2016: 299-300 - [c108]Hui-Huai Qiu, Guibing Guo, Jie Zhang, Zhu Sun
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
- [j36]Guozhu Meng, Yang Liu
Collaborative Security: A Survey and Taxonomy. ACM Comput. Surv. 48(1): 1:1-1:42 (2015) - [j35]Hui Fang, Guibing Guo, Jie Zhang:
Multi-faceted trust and distrust prediction for recommender systems. Decis. Support Syst. 71: 37-47 (2015) - [j34]Athirai Aravazhi Irissappane
A Case-Based Reasoning Framework to Choose Trust Models for Different E-Marketplace Environments. J. Artif. Intell. Res. 52: 477-505 (2015) - [j33]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) - [j32]Peng Zhou
A priori trust inference with context-aware stereotypical deep learning. Knowl. Based Syst. 88: 97-106 (2015) - [j31]Siwei Jiang, Jie Zhang, Yew-Soon Ong
A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Cybern. 45(10): 2202-2213 (2015) - [j30]Peng Zhou
Toward Energy-Efficient Trust System Through Watchdog Optimization for WSNs. IEEE Trans. Inf. Forensics Secur. 10(3): 613-625 (2015) - [j29]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) - [j28]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) - [c107]Siyuan Liu, Chunyan Miao
A Reputation Revision Mechanism to Mitigate the Negative Effects of Misreported Ratings. ICEC 2015: 7:1-7:8 - [c106]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 - [c105]Akin Günay, Songzheng Song, Yang Liu, Jie Zhang:
Automated Analysis of Commitment Protocols Using Probabilistic Model Checking. AAAI 2015: 2060-2066 - [c104]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 - [c103]Huanhuan Zhang, Jie Zhang, Carol J. Fung, Chang Xu:
Improving Sybil Detection via Graph Pruning and Regularization Techniques. ACML 2015: 189-204 - [c102]Tim Muller, Yang Liu, Jie Zhang:
The Fallacy of Endogenous Discounting of Trust Recommendations. AAMAS 2015: 563-572 - [c101]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 - [c100]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 - [c99]Chang Xu, Jie Zhang:
Towards Collusive Fraud Detection in Online Reviews. ICDM 2015: 1051-1056 - [c98]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 - [c97]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 - [c96]Athirai Aravazhi Irissappane, Jie Zhang, Frans A. Oliehoek, Partha Sarathi Dutta:
Secure Routing in Wireless Sensor Networks via POMDPs. IJCAI 2015: 2617-2623 - [c95]Chang Xu, Jie Zhang:
Combating Product Review Spam Campaigns via Multiple Heterogeneous Pairwise Features. SDM 2015: 172-180 - [c94]Guibing Guo, Jie Zhang, Zhu Sun, Neil Yorke-Smith:
LibRec: A Java Library for Recommender Systems. UMAP Workshops 2015 - [c93]Zhu Sun
Exploiting Implicit Item Relationships for Recommender Systems. UMAP 2015: 252-264 - [c92]Siyuan Liu, Chunyan Miao
An Incentive Mechanism to Elicit Truthful Opinions for Crowdsourced Multiple Choice Consensus Tasks. WI-IAT (2) 2015: 96-103 - [c91]Akin Günay, Yang Liu
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
- [j27]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) - [j26]Siyuan Liu, Jie Zhang, Chunyan Miao
An Integrated Clustering-Based Approach to Filtering Unfair Multi-Nominal Testimonies. Comput. Intell. 30(2): 316-341 (2014) - [j25]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) - [j24]Yuan Liu, Jie Zhang:
An incentive mechanism designed for e-marketplaces with limited inventory. Electron. Commer. Res. Appl. 13(2): 110-127 (2014) - [j23]Hui Fang, Jie Zhang, Murat Sensoy
Reputation mechanism for e-commerce in virtual reality environments. Electron. Commer. Res. Appl. 13(6): 409-422 (2014) - [j22]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) - [j21]Siwei Jiang, Jie Zhang, Yew-Soon Ong
Multiobjective optimization based on reputation. Inf. Sci. 286: 125-146 (2014) - [j20]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) - [j19]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) - [j18]Siwei Jiang, Yew-Soon Ong
Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization. IEEE Trans. Cybern. 44(12): 2391-2404 (2014) - [c90]Yang Bao, Hui Fang, Jie Zhang:
TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation. AAAI 2014: 2-8 - [c89]Hui Fang, Yang Bao, Jie Zhang:
Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation. AAAI 2014: 30-36 - [c88]Yuan Liu, Siyuan Liu, Jie Zhang, Hui Fang, Han Yu, Chunyan Miao:
RepRev: Mitigating the Negative Effects of Misreported Ratings. AAAI 2014: 3124-3125 - [c87]Yuan Liu, Jie Zhang, Han Yu, Chunyan Miao:
Reputation-Aware Continuous Double Auction. AAAI 2014: 3126-3127 - [c86]Guibing Guo, Jie Zhang, Daniel Thalmann, Neil Yorke-Smith:
ETAF: An extended trust antecedents framework for trust prediction. ASONAM 2014: 540-547 - [c85]Hui Fang, Jie Zhang, Nadia Magnenat-Thalmann:
Subjectivity grouping: learning from users' rating behavior. AAMAS 2014: 1241-1248 - [c84]Athirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang:
A POMDP based approach to optimally select sellers in electronic marketplaces. AAMAS 2014: 1329-1336 - [c83]Yuan Liu, Jie Zhang, Bo An, Sandip Sen:
A practical robustness measure of incentive mechanisms. AAMAS 2014: 1379-1380 - [c82]Athirai Aravazhi Irissappane, Siwei Jiang, Jie Zhang:
A biclustering-based approach to filter dishonest advisors in multi-criteria e-marketplaces. AAMAS 2014: 1385-1386 - [c81]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 - [c80]Athirai Aravazhi Irissappane, Jie Zhang:
A testbed to evaluate the robustness of reputation systems in e-marketplaces. AAMAS 2014: 1629-1630 - [c79]Songzheng Song, Yang Liu, Jie Zhang, Jun Sun:
An extensive model checking framework for multi-agent systems. AAMAS 2014: 1645-1646 - [c78]Tim Muller, Yang Liu
On Robustness of Trust Systems. IFIPTM 2014: 44-60 - [c77]Huanhuan Zhang, Chang Xu, Jie Zhang:
Exploiting Trust and Distrust Information to Combat Sybil Attack in Online Social Networks. IFIPTM 2014: 77-92 - [c76]Zhiguang Cao
A data-driven method for stochastic shortest path problem. ITSC 2014: 1045-1052 - [c75]Hongliang Guo, Zhiguang Cao
Routing multiple cars in large scale networks: Minimizing road network breakdown probability. ITSC 2014: 2180-2187 - [c74]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 - [c73]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 - [c72]Zhiguang Cao
A multi-hop reputation announcement scheme for VANETs. SOLI 2014: 238-243 - [c71]Dongxia Wang, Tim Muller, Yang Liu
Towards Robust and Effective Trust Management for Security: A Survey. TrustCom 2014: 511-518 - [c70]Zeinab Noorian, Mohsen Mohkami, Yuan Liu, Hui Fang, Julita Vassileva
SocialTrust: Adaptive Trust Oriented Incentive Mechanism for Social Commerce. WI-IAT (1) 2014: 250-257 - [e2]Jianying Zhou, Nurit Gal-Oz
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
- [j17]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) - [j16]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) - [j15]Jie Zhang, Yuan Wang, Julita Vassileva:
SocConnect: A personalized social network aggregator and recommender. Inf. Process. Manag. 49(3): 721-737 (2013) - [j14]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) - [j13]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) - [j12]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) - [c69]Hui Fang, Jie Zhang, Nadia Magnenat-Thalmann:
A trust model stemmed from the diffusion theory for opinion evaluation. AAMAS 2013: 805-812 - [c68]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
An evolutionary model for constructing robust trust networks. AAMAS 2013: 813-820 - [c67]Yuan Liu, Jie Zhang:
Robustness evaluation of incentive mechanisms. AAMAS 2013: 1293-1294 - [c66]Chang Xu, Jie Zhang, Kuiyu Chang, Chong Long:
Uncovering collusive spammers in Chinese review websites. CIKM 2013: 979-988 - [c65]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 - [c64]Athirai Aravazhi Irissappane, Siwei Jiang, Jie Zhang:
A Framework to Choose Trust Models for Different E-Marketplace Environments. IJCAI 2013: 213-219 - [c63]Hui Fang, Yang Bao, Jie Zhang:
Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity. IJCAI 2013: 1983-1989 - [c62]Guibing Guo, Jie Zhang, Neil Yorke-Smith:
A Novel Bayesian Similarity Measure for Recommender Systems. IJCAI 2013: 2619-2625 - [c61]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
- [j11]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) - [j10]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) - [j9]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) - [c60]Yuan Liu, Jie Zhang, Qin Li:
Design of an incentive mechanism to promote honesty in e-marketplaces with limited inventory. ICEC 2012: 54-61 - [c59]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
A multiagent evolutionary framework based on trust for multiobjective optimization. AAMAS 2012: 299-306 - [c58]Hui Fang, Jie Zhang, Murat Sensoy, Nadia Magnenat-Thalmann:
SARC: subjectivity alignment for reputation computation. AAMAS 2012: 1365-1366 - [c57]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 - [c56]Lizi Zhang, Siwei Jiang, Jie Zhang, Wee Keong Ng
Robustness of Trust Models and Combinations for Handling Unfair Ratings. IFIPTM 2012: 36-51 - [c55]Yuan Liu, Jie Zhang, Qin Li:
An Incentive Mechanism to Promote Honesty in E-marketplaces with Limited Inventory. IFIPTM 2012: 209-216 - [c54]Xin Liu, Anwitaman Datta
Detecting Imprudence of 'Reliable' Sellers in Online Auction Sites. TrustCom 2012: 246-253 - [c53]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 - [c52]Zeinab Noorian, Jie Zhang, Michael W. Fleming, Stephen Marsh:
Determining the Optimal Reporting Strategy in Competitive E-marketplaces. TrustCom 2012: 350-357 - [c51]Hui Fang, Jie Zhang, Murat Sensoy
A Generalized Stereotypical Trust Model. TrustCom 2012: 698-705 - [c50]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 - [c49]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 - [c48]Guibing Guo, Jie Zhang, Daniel Thalmann:
A Simple But Effective Method to Incorporate Trusted Neighbors in Recommender Systems. UMAP 2012: 114-125 - [c47]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 - [c46]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 - [c45]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
- [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) - [c44]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 - [c43]Jie Zhang:
A Survey on Trust Management for VANETs. AINA 2011: 105-112 - [c42]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 - [c41]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 - [c40]Siwei Jiang, Jie Zhang, Yew-Soon Ong
Asymmetric Pareto-adaptive Scheme for Multiobjective Optimization. Australasian Conference on Artificial Intelligence 2011: 351-360 - [c39]Siwei Jiang, Zhihua Cai, Jie Zhang, Yew-Soon Ong
Multiobjective optimization by decomposition with Pareto-adaptive weight vectors. ICNC 2011: 1260-1264 - [c38]Hongbing Wang, Jie Zhang, Yangyu Tang, Shizhi Shao:
Collaborative Approaches to Complementing Qualitative Preferences of Agents for Effective Service Selection. ICTAI 2011: 51-58 - [c37]Joshua Gorner, Jie Zhang, Robin Cohen:
Improving the use of advisor networks for multi-agent trust modelling. PST 2011: 71-78 - [c36]Yuan Liu, Jie Zhang, Quanyan Zhu:
Design of a Reputation System Based on Dynamic Coalition Formation. SocInfo 2011: 135-144 - [c35]Lizi Zhang, Hui Fang, Wee Keong Ng
IntRank: Interaction Ranking-Based Trustworthy Friend Recommendation. TrustCom 2011: 266-273 - [c34]Hui Fang, Jie Zhang, Murat Sensoy
A Reputation Mechanism for Virtual Reality - Five-Sense Oriented Feedback Provision and Subjectivity Alignment. TrustCom 2011: 312-319 - [c33]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 - [c32]Julita Vassileva
Trust, Reputation and User Modeling. UMAP Workshops 2011: 225-229 - [c31]Lizi Zhang, Cheun Pin Tan, Siyi Li, Hui Fang, Pramodh Rai, Yao Chen, Rohit Luthra, Wee Keong Ng
The Influence of Interaction Attributes on Trust in Virtual Communities. UMAP Workshops 2011: 268-279 - [c30]Hui Fang, Murat Sensoy
Handling Subjective User Feedback for Reputation Computation in Virtual Reality. UMAP Workshops 2011: 292-303 - [c29]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) - [c28]Yuan Wang, Jie Zhang, Julita Vassileva
Towards Effective Recommendation of Social Data across Social Networking Sites. AIMSA 2010: 61-70 - [c27]Carol J. Fung, Jie Zhang, Raouf Boutaba:
Effective acquaintance management for Collaborative Intrusion Detection Networks. CNSM 2010: 158-165 - [c26]Chong Long, Jie Zhang, Xiaoyan Zhu:
A Review Selection Approach for Accurate Feature Rating Estimation. COLING (Posters) 2010: 766-774 - [c25]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 - [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
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
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
[c201] [c200] [i46] [j101] [j99] [j98] [j96] [c194] [c193] [c191] [i40] [i39] [i37] [j88] [j83] [j82] [j81] [j79] [c189] [c188] [c185] [i33] [i28] [i26] [j76] [c182] [c179] [c176] [c175] [i22] [i21] [i20] [i19] [j72] [c169] [c164] [i15] [i13] [j66] [i8] [i6] [j56] [j49] [j47] [c144] [c129] [j40] [j38] [c120] [c76] [c75] [c72]
Athirai Aravazhi Irissappane
aka: Athirai A. Irissappane
aka: Athirai A. Irissappane
Yew-Soon Ong
aka: Yew Soon Ong
aka: Yew Soon Ong
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