Liwei Wang

Liwei Wang

Peking University

H-index: 62

Asia-China

About Liwei Wang

Liwei Wang, With an exceptional h-index of 62 and a recent h-index of 58 (since 2020), a distinguished researcher at Peking University, specializes in the field of machine learning.

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

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

A reduction-based framework for sequential decision making with delayed feedback

DOF: Accelerating High-order Differential Operators with Forward Propagation

Towards revealing the mystery behind chain of thought: a theoretical perspective

A computational framework for neural network-based variational Monte Carlo with Forward Laplacian

Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness

PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds

DPO Meets PPO: Reinforced Token Optimization for RLHF

Liwei Wang Information

University

Position

___

Citations(all)

17479

Citations(since 2020)

15270

Cited By

5703

hIndex(all)

62

hIndex(since 2020)

58

i10Index(all)

168

i10Index(since 2020)

147

Email

University Profile Page

Peking University

Google Scholar

View Google Scholar Profile

Liwei Wang Skills & Research Interests

machine learning

Top articles of Liwei Wang

Title

Journal

Author(s)

Publication Date

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

arXiv preprint arXiv:2404.02905

Keyu Tian

Yi Jiang

Zehuan Yuan

Bingyue Peng

Liwei Wang

2024/4/3

A reduction-based framework for sequential decision making with delayed feedback

Advances in Neural Information Processing Systems

Yunchang Yang

Han Zhong

Tianhao Wu

Bin Liu

Liwei Wang

...

2024/2/13

DOF: Accelerating High-order Differential Operators with Forward Propagation

arXiv preprint arXiv:2402.09730

Ruichen Li

Chuwei Wang

Haotian Ye

Di He

Liwei Wang

2024/2/15

Towards revealing the mystery behind chain of thought: a theoretical perspective

Advances in Neural Information Processing Systems

Guhao Feng

Bohang Zhang

Yuntian Gu

Haotian Ye

Di He

...

2024/2/13

A computational framework for neural network-based variational Monte Carlo with Forward Laplacian

Nature Machine Intelligence

Ruichen Li

Haotian Ye

Du Jiang

Xuelan Wen

Chuwei Wang

...

2024/2/13

Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness

arXiv preprint arXiv:2401.08514

Bohang Zhang

Jingchu Gai

Yiheng Du

Qiwei Ye

Di He

...

2024/1/16

PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds

Advances in Neural Information Processing Systems

Hao Yang

Haiyang Wang

Di Dai

Liwei Wang

2024/2/13

DPO Meets PPO: Reinforced Token Optimization for RLHF

arXiv preprint arXiv:2404.18922

Han Zhong

Guhao Feng

Wei Xiong

Li Zhao

Di He

...

2024/4/29

Tackling heavy-tailed rewards in reinforcement learning with function approximation: Minimax optimal and instance-dependent regret bounds

Advances in Neural Information Processing Systems

Jiayi Huang

Han Zhong

Liwei Wang

Lin Yang

2024/2/13

Horizon-free and instance-dependent regret bounds for reinforcement learning with general function approximation

Jiayi Huang

Han Zhong

Liwei Wang

Lin Yang

2024/4/18

Dsvt: Dynamic sparse voxel transformer with rotated sets

Haiyang Wang

Chen Shi

Shaoshuai Shi

Meng Lei

Sen Wang

...

2023

Offline meta reinforcement learning with in-distribution online adaptation

Jianhao Wang

Jin Zhang

Haozhe Jiang

Junyu Zhang

Liwei Wang

...

2023/7/3

Provably efficient exploration in quantum reinforcement learning with logarithmic worst-case regret

arXiv preprint arXiv:2302.10796

Han Zhong

Jiachen Hu

Yecheng Xue

Tongyang Li

Liwei Wang

2023/2/21

A complete expressiveness hierarchy for subgraph gnns via subgraph weisfeiler-lehman tests

Bohang Zhang

Guhao Feng

Yiheng Du

Di He

Liwei Wang

2023/7/3

Rethinking the expressive power of gnns via graph biconnectivity

arXiv preprint arXiv:2301.09505

Bohang Zhang

Shengjie Luo

Liwei Wang

Di He

2023/1/23

On the power of pre-training for generalization in RL: provable benefits and hardness

Haotian Ye

Xiaoyu Chen

Liwei Wang

Simon Shaolei Du

2023/7/3

Designing bert for convolutional networks: Sparse and hierarchical masked modeling

arXiv preprint arXiv:2301.03580

Keyu Tian

Yi Jiang

Qishuai Diao

Chen Lin

Liwei Wang

...

2023/1/9

UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation

Haiyang Wang

Hao Tang

Shaoshuai Shi

Aoxue Li

Zhenguo Li

...

2023

Learning physics-informed neural networks without stacked back-propagation

Di He

Shanda Li

Wenlei Shi

Xiaotian Gao

Jia Zhang

...

2023/4/11

Core: Common random reconstruction for distributed optimization with provable low communication complexity

arXiv preprint arXiv:2309.13307

Pengyun Yue

Hanzhen Zhao

Cong Fang

Di He

Liwei Wang

...

2023/9/23

See List of Professors in Liwei Wang University(Peking University)

Co-Authors

H-index: 97
Tao Xiang

Tao Xiang

University of Surrey

H-index: 85
John Hopcroft

John Hopcroft

Cornell University

H-index: 77
Ji-Rong Wen

Ji-Rong Wen

Renmin University of China

H-index: 57
Jason D. Lee

Jason D. Lee

Princeton University

H-index: 45
Simon Shaolei Du

Simon Shaolei Du

University of Washington

H-index: 32
Zhiwu Lu

Zhiwu Lu

Renmin University of China

academic-engine