


Остановите войну!
for scientists:


default search action
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, 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
- 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 0037
— Xi'an Jiaotong-Liverpool University, China (and 1 more)
- 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
— Korea Advanced Institute of Science and Technology, Computer Architecture and Memory System Lab, Daejeon, South Korea (and 2 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)
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
- [j98]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) - [j97]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) - [j96]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) - [j95]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) - [j94]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) - [j93]Qiang He
, Hui Fang
, Jie Zhang, Xingwei Wang
:
Dynamic Opinion Maximization in Social Networks. IEEE Trans. Knowl. Data Eng. 35(1): 350-361 (2023) - [j92]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) - [j91]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) - [j90]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) - [c193]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 - [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] - [i38]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) - [i37]Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang:
Neural Airport Ground Handling. CoRR abs/2303.02442 (2023) - [i36]Yitong Ji, Aixin Sun, Jie Zhang:
Retraining A Graph-based Recommender with Interests Disentanglement. CoRR abs/2305.03624 (2023) - [i35]Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang:
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems. CoRR abs/2305.19587 (2023) - [i34]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) - 2022
- [j89]Hui Fang, Xiaoming Li, Jie Zhang:
Integrating social influence modeling and user modeling for trust prediction in signed networks. Artif. Intell. 302: 103628 (2022) - [j88]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) - [j87]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) - [j86]Marcus de Carvalho, Mahardhika Pratama
, Jie Zhang, Edward Kien Yee Yapp
:
ACDC: Online unsupervised cross-domain adaptation. Knowl. Based Syst. 253: 109486 (2022) - [j85]Xiao Sha
, Zhu Sun
, Jie Zhang:
Disentangling Multi-Facet Social Relations for Recommendation. IEEE Trans. Comput. Soc. Syst. 9(3): 867-878 (2022) - [j84]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) - [j83]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) - [j82]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) - [j81]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) - [j80]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) - [j79]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) - [j78]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) - [j77]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 San:
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
- [j76]Xiao Sha, Zhu Sun
, Jie Zhang:
Hierarchical attentive knowledge graph embedding for personalized recommendation. Electron. Commer. Res. Appl. 48: 101071 (2021) - [j75]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) - [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 - [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, Jie Zhang:
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
, Irwin King:
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. IJCAI 2020: 3544-3550 - [c165]Lu Zhang, Zhu Sun
, Jie Zhang, Yu Lei
, Chen Li
, Ziqing Wu, Horst Kloeden, Felix Klanner:
An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins. IJCAI 2020: 3551-3557 - [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
, Di Yu, Hui Fang, Jie Yang
, Xinghua Qu, Jie Zhang, Cong Geng:
Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. RecSys 2020: 23-32 - [c162]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
A Re-visit of the Popularity Baseline in Recommender Systems. SIGIR 2020: 1749-1752 - [i17]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
A Re-visit of the Popularity Baseline in Recommender Systems. CoRR abs/2005.13829 (2020) - [i16]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
On Offline Evaluation of Recommender Systems. CoRR abs/2010.11060 (2020) - [i15]Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu:
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning. CoRR abs/2010.12367 (2020) - [i14]Yanshi Wang, Jie Zhang, Qing Da, Anxiang Zeng:
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction. CoRR abs/2011.11826 (2020) - [i13]Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang:
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. CoRR abs/2012.10638 (2020)
2010 – 2019
- 2019
- [j69]Zining Liu
, Chong Long, Xiaolu Lu, Zehong Hu, Jie Zhang, Yafang Wang:
Which Channel to Ask My Question?: Personalized Customer Service Request Stream Routing Using Deep Reinforcement Learning. IEEE Access 7: 107744-107756 (2019) - [j68]Zhu Sun
, Qing Guo, Jie Yang
, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke
:
Research commentary on recommendations with side information: A survey and research directions. Electron. Commer. Res. Appl. 37 (2019) - [j67]Tie Luo
, Jianwei Huang
, Salil S. Kanhere
, Jie Zhang, Sajal K. Das
:
Improving IoT Data Quality in Mobile Crowd Sensing: A Cross Validation Approach. IEEE Internet Things J. 6(3): 5651-5664 (2019) - [j66]Wen Song, Donghun Kang, Jie Zhang, Zhiguang Cao
, Hui Xi:
A Sampling Approach for Proactive Project Scheduling under Generalized Time-dependent Workability Uncertainty. J. Artif. Intell. Res. 64: 385-427 (2019) - [j65]Guozhu Meng
, Matthew Patrick, Yinxing Xue
, Yang Liu
, Jie Zhang:
Securing Android App Markets via Modeling and Predicting Malware Spread Between Markets. IEEE Trans. Inf. Forensics Secur. 14(7): 1944-1959 (2019) - [j64]Yankai Chen
, Yixiang Fang
, Reynold Cheng, Yun Li
, Xiaojun Chen
, Jie Zhang:
Exploring Communities in Large Profiled Graphs. IEEE Trans. Knowl. Data Eng. 31(8): 1624-1629 (2019) - [j63]Jie Zhang, Jamal Bentahar, Rino Falcone, Timothy J. Norman, Murat Sensoy:
Introduction to the Special Section on Trust and AI. ACM Trans. Internet Techn. 19(4) (2019) - [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
, Mahardhika Pratama
, Septiviana Savitri, Jie Zhang:
MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification. ICDM 2019: 110-119 - [c156]Qing Guo, Zhu Sun
, Jie Zhang, Yin-Leng Theng:
Modeling Heterogeneous Influences for Point-of-Interest Recommendation in Location-Based Social Networks. ICWE 2019: 72-80 - [c155]Shuo Chen, Ewa Andrejczuk, Athirai Aravazhi Irissappane
, Jie Zhang:
ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection. IJCAI 2019: 172-179 - [i12]Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang:
Exploring Communities in Large Profiled Graphs. CoRR abs/1901.05451 (2019) - [i11]Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke:
Research Commentary on Recommendations with Side Information: A Survey and Research Directions. CoRR abs/1909.12807 (2019) - [i10]Xiao Sha, Zhu Sun, Jie Zhang:
Attentive Knowledge Graph Embedding for Personalized Recommendation. CoRR abs/1910.08288 (2019) - [i9]Zining Liu, Chong Long, Xiaolu Lu, Zehong Hu, Jie Zhang, Yafang Wang:
Which Channel to Ask My Question? Personalized Customer Service RequestStream Routing using DeepReinforcement Learning. CoRR abs/1911.10521 (2019) - [i8]Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim:
Learning Improvement Heuristics for Solving the Travelling Salesman Problem. CoRR abs/1912.05784 (2019) - [i7]Leonid Zeynalvand, Tie Luo
, Jie Zhang:
COBRA: Context-aware Bernoulli Neural Networks for Reputation Assessment. CoRR abs/1912.08446 (2019) - [i6]Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim:
Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems. CoRR abs/1912.10762 (2019) - 2018
- [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
, Guibing Guo, Zhu Sun
, Jie Zhang, Hai Thanh Nguyen:
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]