Xin Li

Xin Li

Beijing Institute of Technology

H-index: 22

Asia-China

About Xin Li

Xin Li, With an exceptional h-index of 22 and a recent h-index of 20 (since 2020), a distinguished researcher at Beijing Institute of Technology, specializes in the field of Representation Learning, (Deep) (Reinforcement) Learning.

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

MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components

Improving GNN Calibration with Discriminative Ability: Insights and Strategies

Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning

Graph-based Covert Transaction Detection and Protection in Blockchain

Wl-align: Weisfeiler-lehman relabeling for aligning users across networks via regularized representation learning

Context-aware safe medication recommendations with molecular graph and DDI graph embedding

Relation-aware graph convolutional networks for multi-relational network alignment

WaveForM: Graph enhanced wavelet learning for long sequence forecasting of multivariate time series

Xin Li Information

University

Position

___

Citations(all)

2045

Citations(since 2020)

1629

Cited By

1009

hIndex(all)

22

hIndex(since 2020)

20

i10Index(all)

35

i10Index(since 2020)

25

Email

University Profile Page

Beijing Institute of Technology

Google Scholar

View Google Scholar Profile

Xin Li Skills & Research Interests

Representation Learning

(Deep) (Reinforcement) Learning

Top articles of Xin Li

Title

Journal

Author(s)

Publication Date

MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components

Proceedings of the AAAI Conference on Artificial Intelligence

Min Wang

Xin Li

Leiji Zhang

Mingzhong Wang

2024/3/24

Improving GNN Calibration with Discriminative Ability: Insights and Strategies

Proceedings of the AAAI Conference on Artificial Intelligence

Yujie Fang

Xin Li

Qianyu Chen

Mingzhong Wang

2024/3/24

Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning

Advances in Neural Information Processing Systems

Hongyu Zang

Xin Li

Leiji Zhang

Yang Liu

Baigui Sun

...

2024/2/13

Graph-based Covert Transaction Detection and Protection in Blockchain

IEEE Transactions on Information Forensics and Security

Zhenyu Guo

Xin Li

Jiamou Liu

Zijian Zhang

Meng Li

...

2023/12/28

Wl-align: Weisfeiler-lehman relabeling for aligning users across networks via regularized representation learning

IEEE Transactions on Knowledge and Data Engineering

Li Liu

Penggang Chen

Xin Li

William K Cheung

Youmin Zhang

...

2023/5/22

Context-aware safe medication recommendations with molecular graph and DDI graph embedding

Proceedings of the AAAI Conference on Artificial Intelligence

Qianyu Chen

Xin Li

Kunnan Geng

Mingzhong Wang

2023/6/26

Relation-aware graph convolutional networks for multi-relational network alignment

ACM Transactions on Intelligent Systems and Technology

Yujie Fang

Xin Li

Rui Ye

Xiaoyan Tan

Peiyao Zhao

...

2023/2

WaveForM: Graph enhanced wavelet learning for long sequence forecasting of multivariate time series

Proceedings of the AAAI Conference on Artificial Intelligence

Fuhao Yang

Xin Li

Min Wang

Hongyu Zang

Wei Pang

...

2023/6/26

Coarse-to-Fine Contrastive Learning on Graphs

IEEE Transactions on Neural Networks and Learning Systems

Peiyao Zhao

Yuangang Pan

Xin Li

Xu Chen

Ivor W Tsang

...

2023/1/11

Principled offline RL in the presence of rich exogenous information

Riashat Islam

Manan Tomar

Alex Lamb

Yonathan Efroni

Hongyu Zang

...

2023/6/15

Differentiable Logic Policy for Interpretable Deep Reinforcement Learning: A Study from an Optimization Perspective

IEEE Transactions on Pattern Analysis and Machine Intelligence

Xin Li

Haojie Lei

Li Zhang

Mingzhong Wang

2023/6/13

Simsr: Simple distance-based state representations for deep reinforcement learning

Proceedings of the AAAI Conference on Artificial Intelligence

Hongyu Zang

Xin Li

Mingzhong Wang

2022/6/28

Representation learning in deep rl via discrete information bottleneck

The 25th International Conference on Artificial Intelligence and Statistics (AISTATS)

Riashat Islam

Hongyu Zang

Manan Tomar

Aniket Didolkar

Md Mofijul Islam

...

2023

Behavior prior representation learning for offline reinforcement learning

arXiv preprint arXiv:2211.00863

Hongyu Zang

Xin Li

Jie Yu

Chen Liu

Riashat Islam

...

2022/11/2

Multi-relational EHR representation learning with infusing information of Diagnosis and Medication

Yu Shi

Yuhang Guo

Hao Wu

Jingxiu Li

Xin Li

2021/7/12

Towards improving embedding based models of social network alignment via pseudo anchors

IEEE Transactions on Knowledge and Data Engineering

Zihan Yan

Li Liu

Xin Li

William K Cheung

Youmin Zhang

...

2021/11/12

Off-policy differentiable logic reinforcement learning

Li Zhang

Xin Li

Mingzhong Wang

Andong Tian

2021/9/13

Cha: Categorical hierarchy-based attention for next poi recommendation

ACM Transactions on Information Systems (TOIS)

Hongyu Zang

Dongcheng Han

Xin Li

Zhifeng Wan

Mingzhong Wang

2021/9/7

On improving knowledge graph facilitated simple question answering system

Xin Li

Hongyu Zang

Xiaoyun Yu

Hao Wu

Zijian Zhang

...

2021/8

Shared-latent Variable Network Alignment

Degen Zhang

Xin Li

Linjing Lai

2021/7/12

See List of Professors in Xin Li University(Beijing Institute of Technology)