Jie Zhang

Jie Zhang

Nanyang Technological University

H-index: 62

Asia-Singapore

About Jie Zhang

Jie Zhang, With an exceptional h-index of 62 and a recent h-index of 46 (since 2020), a distinguished researcher at Nanyang Technological University, specializes in the field of Artificial Intelligence, Machine Learning, User Modeling, Learning to Optimize.

His recent articles reflect a diverse array of research interests and contributions to the field:

Decision-Making With Speculative Opponent Models

Enhancing job recommendation through llm-based generative adversarial networks

Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction

Single-Site Perishable Inventory Management Under Uncertainties: A Deep Reinforcement Learning Approach

Learning Feature Embedding Refiner for Solving Vehicle Routing Problems

Selfcf: A simple framework for self-supervised collaborative filtering

Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling

Voronoi treemap in Manhattan distance and Chebyshev distance

Jie Zhang Information

University

Position

Associate Professor Computer Science and Engineering

Citations(all)

13073

Citations(since 2020)

7954

Cited By

8082

hIndex(all)

62

hIndex(since 2020)

46

i10Index(all)

201

i10Index(since 2020)

135

Email

University Profile Page

Nanyang Technological University

Google Scholar

View Google Scholar Profile

Jie Zhang Skills & Research Interests

Artificial Intelligence

Machine Learning

User Modeling

Learning to Optimize

Top articles of Jie Zhang

Title

Journal

Author(s)

Publication Date

Decision-Making With Speculative Opponent Models

The IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Jing Sun

Shuo Chen

Cong Zhang

Yining Ma

Jie Zhang

2024/3

Enhancing job recommendation through llm-based generative adversarial networks

Proceedings of the AAAI Conference on Artificial Intelligence

Yingpeng Du

Di Luo

Rui Yan

Xiaopei Wang

Hongzhi Liu

...

2024/3/24

Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction

Youchen Sun

Zhu Sun

Xiao Sha

Jie Zhang

Yew Soon Ong

2023/9/14

Single-Site Perishable Inventory Management Under Uncertainties: A Deep Reinforcement Learning Approach

IEEE Transactions on Knowledge and Data Engineering

Kaixin Wang

Cheng Long

Darrell Joshua Ong

Jie Zhang

Xue-Ming Yuan

2023/2/28

Learning Feature Embedding Refiner for Solving Vehicle Routing Problems

IEEE Transactions on Neural Networks and Learning Systems

Jingwen Li

Yining Ma

Zhiguang Cao

Yaoxin Wu

Wen Song

...

2023/6/23

Selfcf: A simple framework for self-supervised collaborative filtering

ACM Transactions on Recommender Systems

Xin Zhou

Aixin Sun

Yong Liu

Jie Zhang

Chunyan Miao

2023/6/12

Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling

IEEE Transactions on Knowledge and Data Engineering

Jianan Zhou

Yaoxin Wu

Zhiguang Cao

Wen Song

Jie Zhang

...

2023/2/27

Voronoi treemap in Manhattan distance and Chebyshev distance

Information Visualization

Yan Chao Wang

Yidan Xing

Jie Zhang

2023/4/20

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems

Jianan Zhou

Yaoxin Wu

Wen Song

Zhiguang Cao

Jie Zhang

2023/7/3

Reinforcement learning enhanced weighted sampling for accurate subgraph counting on fully dynamic graph streams

2023 IEEE 39th International Conference on Data Engineering (ICDE)

Kaixin Wang

Cheng Long

Da Yan

Jie Zhang

HV Jagadish

2023/5

Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift

Advances in Neural Information Processing Systems

Yuan Jiang

Zhiguang Cao

Yaoxin Wu

Wen Song

Jie Zhang

2024/2/13

Sampling efficient deep reinforcement learning through preference-guided stochastic exploration

IEEE Transactions on Neural Networks and Learning Systems

Wenhui Huang

Cong Zhang

Jingda Wu

Xiangkun He

Jie Zhang

...

2023/10/3

Neural Airport Ground Handling

IEEE Transactions on Intelligent Transportation Systems

Yaoxin Wu

Jianan Zhou

Yunwen Xia

Xianli Zhang

Zhiguang Cao

...

2023/3/16

Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System

ACM Transactions on Information Systems

Yuxin Ni

Yunwen Xia

Hui Fang

Chong Long

Xinyu Kong

...

2023/8/18

Teacher-apprentices RL (TARL): leveraging complex policy distribution through generative adversarial hypernetwork in reinforcement learning

Autonomous Agents and Multi-Agent Systems

Shi Yuan Tang

Athirai A Irissappane

Frans A Oliehoek

Jie Zhang

2023/12

Multi-View Graph Contrastive Learning for Solving Vehicle Routing Problems

Yuan Jiang

Zhiguang Cao

Yaoxin Wu

2023

A review on learning to solve combinatorial optimisation problems in manufacturing

Cong Zhang

Yaoxin Wu

Yining Ma

Wen Song

Zhang Le

...

2023/3

Prototype Feature Extraction for Multi-task Learning

Shen Xin

Yuhang Jiao

Cheng Long

Yuguang Wang

Xiaowei Wang

...

2022/4/25

Class-Incremental Learning via Knowledge Amalgamation

Marcus de Carvalho

Mahardhika Pratama

Jie Zhang

Yajuan Sun

2022/9/19

A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals

ACM Transactions on Information Systems

Zhu Sun

Yu Lei

Lu Zhang

Chen Li

Yew-Soon Ong

...

2023

See List of Professors in Jie Zhang University(Nanyang Technological University)

Co-Authors

H-index: 97
Nadia Magnenat Thalmann/ Nadia Thalmann

Nadia Magnenat Thalmann/ Nadia Thalmann

Université de Genève

H-index: 94
Daniel Thalmann

Daniel Thalmann

École Polytechnique Fédérale de Lausanne

H-index: 74
Yang Liu

Yang Liu

Nanyang Technological University

H-index: 57
Julita Vassileva

Julita Vassileva

University of Saskatchewan

H-index: 34
Neil Yorke-Smith

Neil Yorke-Smith

Technische Universiteit Delft

H-index: 30
Guibing Guo

Guibing Guo

Northeastern University, China

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