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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 — 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 — University of Science and Technology Beijing, School of Automation and Electrical Engineering, China (and 1 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
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2020 – today
- 2024
- [j109]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) - [j108]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) - [j107]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) - [j106]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) - [j105]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) - [j104]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) - [c202]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 - [c201]Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Haoyan Chua, Edward Kien Yee Yapp:
Towards Cross-Domain Continual Learning. ICDE 2024: 1131-1142 - [c200]Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang:
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling. ICLR 2024 - [c199]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 - [c198]Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang:
Disentangled Multi-interest Representation Learning for Sequential Recommendation. KDD 2024: 677-688 - [c197]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 - [c196]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 - [i48]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) - [i47]Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Haoyan Chua, Edward Kien Yee Yapp:
Towards Cross-Domain Continual Learning. CoRR abs/2402.12490 (2024) - [i46]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) - [i45]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) - [i44]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) - [i43]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) - [i42]Yunwen Xia, Hui Fang, Jie Zhang, Chong Long:
Leveraging Knowledge Graph Embedding for Effective Conversational Recommendation. CoRR abs/2408.01342 (2024) - [i41]Xin Zhou, Aixin Sun, Jie Zhang, Donghui Lin:
The Crowd in MOOCs: A Study of Learning Patterns at Scale. CoRR abs/2408.03025 (2024) - 2023
- [j103]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) - [j102]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) - [j101]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) - [j100]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) - [j99]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) - [j98]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) - [j97]Qiang He, Hui Fang, Jie Zhang, Xingwei Wang:
Dynamic Opinion Maximization in Social Networks. IEEE Trans. Knowl. Data Eng. 35(1): 350-361 (2023) - [j96]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) - [j95]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) - [j94]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) - [j93]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) - [j92]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) - [j91]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) - [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, 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 - [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, 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] - [i40]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) - [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, Jie Zhang:
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, 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) - [j88]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) - [j87]Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Edward Kien Yee Yapp:
ACDC: Online unsupervised cross-domain adaptation. Knowl. Based Syst. 253: 109486 (2022) - [j86]Xiao Sha, Zhu Sun, Jie Zhang:
Disentangling Multi-Facet Social Relations for Recommendation. IEEE Trans. Comput. Soc. Syst. 9(3): 867-878 (2022) - [j85]Qi-dong Liu, Cheng Long, Jie Zhang, Mingliang Xu, Pei Lv:
TriATNE: Tripartite Adversarial Training for Network Embeddings. IEEE Trans. Cybern. 52(9): 9634-9645 (2022) - [j84]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) - [j83]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) - [j82]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) - [j81]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) - [j80]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) - [j79]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) - [j78]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) - [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, Jie Zhang, Chenliang Li:
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, Jie Zhang, Yajuan Sun:
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, 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
- [j77]Xiao Sha, Zhu Sun, Jie Zhang:
Hierarchical attentive knowledge graph embedding for personalized recommendation. Electron. Commer. Res. Appl. 48: 101071 (2021) - [j76]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) - [j75]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) - [c182]Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang:
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, 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 - [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, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng:
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, 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) - [j72]Chao Ma, Zhenbing Liu, Zhiguang Cao, Wen Song, Jie Zhang, Weiliang Zeng:
Cost-sensitive deep forest for price prediction. Pattern Recognit. 107: 107499 (2020) - [j71]Qi-dong 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) - [j70]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) - [c171]Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng:
An Attentional Recurrent Neural Network for Personalized Next Location Recommendation. AAAI 2020: 83-90