Jie Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 164

Top Venues

Publications

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 (2024)
Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang
Disentangled Multi-interest Representation Learning for Sequential Recommendation. KDD (2024)
Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling. ICLR (2024)
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) (2024)
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) (2024)
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) (2024)
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) (2024)
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)
Weiwei Weng, Mahardhika Pratama, Jie Zhang, Chen Chen, Edward Kien Yee Yapp, Savitha Ramasamy
Cross-Domain Continual Learning via CLAMP. CoRR (2024)
Weiwei Weng, Mahardhika Pratama, Jie Zhang, Chen Chen, Edward Kien Yee Yapp, Ramasamy Savitha
Cross-domain continual learning via CLAMP. Inf. Sci. 676 (2024)
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)
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)
Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Haoyan Chua, Edward Kien Yee Yapp
Towards Cross-Domain Continual Learning. CoRR (2024)
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 (2024)
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 (2024)
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) (2024)
Yitong Ji, Aixin Sun, Jie Zhang
Retraining A Graph-based Recommender with Interests Disentanglement. CoRR (2023)
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) (2023)
Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Jie Zhang
Multi-view graph contrastive learning for solving vehicle routing problems. UAI (2023)
Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. Trans. Recomm. Syst. 1 (2) (2023)
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) (2023)
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) (2023)
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)
Yu-chen Fan, Yitong Ji, Jie Zhang, Aixin Sun
Our Model Achieves Excellent Performance on MovieLens: What Does it Mean? CoRR (2023)
Yaoxin Wu, Jianan Zhou, Yunwen Xia, Xianli Zhang, Zhiguang Cao, Jie Zhang
Neural Airport Ground Handling. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
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)
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) (2023)
Yong Liu, Hao Zhang, Zhu Sun, Shoujin Wang, Jie Zhang
WSDM 2023 Workshop on Interactive Recommender Systems. WSDM (2023)
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) (2023)
Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhenghua Chen
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling. CoRR (2023)
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) (2022)
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) (2022)
Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Yajuan San
Class-Incremental Learning via Knowledge Amalgamation. CoRR (2022)
Hui Fang, Xiaoming Li, Jie Zhang
Integrating social influence modeling and user modeling for trust prediction in signed networks. Artif. Intell. 302 (2022)
Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Yajuan Sun
Class-Incremental Learning via Knowledge Amalgamation. ECML/PKDD (3) (2022)
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 (2022)
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs. ICLR (2022)
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) (2022)
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) (2022)
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) (2022)
Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Edward Kien Yee Yapp
ACDC: Online unsupervised cross-domain adaptation. Knowl. Based Syst. 253 (2022)
Wen Song, Zhiguang Cao, Jie Zhang, Chi Xu, Andrew Lim
Learning variable ordering heuristics for solving Constraint Satisfaction Problems. Eng. Appl. Artif. Intell. 109 (2022)
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 (2022)
Xiao Sha, Zhu Sun, Jie Zhang
Disentangling Multi-Facet Social Relations for Recommendation. IEEE Trans. Comput. Soc. Syst. 9 (3) (2022)
Jie Zhang, Lunke Fei, Yun Li, Fangqi Nie, Qiaoxian Jiang, Libing Liang, Pengcheng Yan
Instance-level Weighted Graph Learning for Incomplete Multi-view Clustering. ICCPR (2022)
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin
Graph Learning Assisted Multi-Objective Integer Programming. NeurIPS (2022)
Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang
Learning to Solve Routing Problems via Distributionally Robust Optimization. AAAI (2022)
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)
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) (2022)
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 (2022)
Jing Sun, Shuo Chen, Cong Zhang, Jie Zhang
Decision-making with Imaginary Opponent Models. CoRR (2022)
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)
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)
Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang
Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork. AAMAS (2021)
Xiao Sha, Zhu Sun, Jie Zhang
Hierarchical attentive knowledge graph embedding for personalized recommendation. Electron. Commer. Res. Appl. 48 (2021)
Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. AAAI (2021)
Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
Step-Wise Deep Learning Models for Solving Routing Problems. IEEE Trans. Ind. Informatics 17 (7) (2021)
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 (2021)
Yuan Jiang, Zhiguang Cao, Jie Zhang
Solving 3D Bin Packing Problem via Multimodal Deep Reinforcement Learning. AAMAS (2021)
Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Edward Kien Yee Yapp
ACDC: Online Unsupervised Cross-Domain Adaptation. CoRR (2021)
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang
Learning Large Neighborhood Search Policy for Integer Programming. NeurIPS (2021)
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)
Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. CoRR (2020)
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)
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 (2020)
Chao Ma, Zhenbing Liu, Zhiguang Cao, Wen Song, Jie Zhang, Weiliang Zeng
Cost-sensitive deep forest for price prediction. Pattern Recognit. 107 (2020)
Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng
An Attentional Recurrent Neural Network for Personalized Next Location Recommendation. AAAI (2020)
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)
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)
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 (2020)
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 (2020)
Shuo Chen, Ewa Andrejczuk, Zhiguang Cao, Jie Zhang
AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism. AAAI (2020)
Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu
Information Theoretical Analysis of Unfair Rating Attacks Under Subjectivity. IEEE Trans. Inf. Forensics Secur. 15 (2020)
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)
Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
Exploring Communities in Large Profiled Graphs. CoRR (2019)
Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
Exploring Communities in Large Profiled Graphs (Extended Abstract). ICDE (2019)
Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim
Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems. CoRR (2019)
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) (2019)
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 (2019)
Xiaoming Li, Hui Fang, Jie Zhang
Supervised User Ranking in Signed Social Networks. AAAI (2019)
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 (2019)
Xiao Sha, Zhu Sun, Jie Zhang
Attentive Knowledge Graph Embedding for Personalized Recommendation. CoRR (2019)
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim
Learning Improvement Heuristics for Solving the Travelling Salesman Problem. CoRR (2019)
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) (2019)
Zehong Hu, Zhen Wang, Zhao Li, Shichang Hu, Shasha Ruan, Jie Zhang
Fraud Regulating Policy for E-Commerce via Constrained Contextual Bandits. AAMAS (2019)
Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng
Modeling Heterogeneous Influences for Point-of-Interest Recommendation in Location-Based Social Networks. ICWE (2019)
Shuo Chen, Ewa Andrejczuk, Athirai Aravazhi Irissappane, Jie Zhang
ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection. IJCAI (2019)
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)
Zehong Hu, Jie Zhang, Zhao Li
General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits. AAAI (2019)
Monidipa Das, Mahardhika Pratama, Septiviana Savitri, Jie Zhang
MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification. ICDM (2019)
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 (2019)
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 (2019)
Xiaoming Li, Hui Fang, Qing Yang, Jie Zhang
Who is Your Best Friend?: Ranking Social Network Friends According to Trust Relationship. UMAP (2018)
Xiaoming Li, Hui Fang, Jie Zhang
FILE: A Novel Framework for Predicting Social Status in Signed Networks. AAAI (2018)
Noel Sardana, Robin Cohen, Jie Zhang, Shuo Chen
A Bayesian Multiagent Trust Model for Social Networks. IEEE Trans. Comput. Soc. Syst. 5 (4) (2018)
Hui Fang, Jie Zhang, Murat Sensoy
A generalized stereotype learning approach and its instantiation in trust modeling. Electron. Commer. Res. Appl. 30 (2018)
Huihuai Qiu, Yun Liu, Guibing Guo, Zhu Sun, Jie Zhang, Hai Thanh Nguyen
BPRH: Bayesian personalized ranking for heterogeneous implicit feedback. Inf. Sci. 453 (2018)
Zehong Hu, Yitao Liang, Yang Liu, Jie Zhang
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. CoRR (2018)
Wen Song, Hui Xi, Donghun Kang, Jie Zhang
An agent-based simulation system for multi-project scheduling under uncertainty. Simul. Model. Pract. Theory 86 (2018)
Naitong Yu, Jie Zhang, Minlie Huang, Xiaoyan Zhu
An Operation Network for Abstractive Sentence Compression. COLING (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jie Zhang