Wei Zhan

Wei Zhan

University of California, Berkeley

H-index: 31

North America-United States

About Wei Zhan

Wei Zhan, With an exceptional h-index of 31 and a recent h-index of 30 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of autonomous driving.

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

Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving

PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models

Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration

Efficient Reinforcement Learning of Task Planners for Robotic Palletization through Iterative Action Masking Learning

Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving

Q-SLAM: Quadric Representations for Monocular SLAM

BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay

DrPlanner: Diagnosis and Repair of Motion Planners Using Large Language Models

Wei Zhan Information

University

Position

Ph.D.

Citations(all)

4356

Citations(since 2020)

4223

Cited By

889

hIndex(all)

31

hIndex(since 2020)

30

i10Index(all)

68

i10Index(since 2020)

66

Email

University Profile Page

University of California, Berkeley

Google Scholar

View Google Scholar Profile

Wei Zhan Skills & Research Interests

autonomous driving

Top articles of Wei Zhan

Title

Journal

Author(s)

Publication Date

Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving

arXiv preprint arXiv:2401.15315

Zhiyu Huang

Chen Tang

Chen Lv

Masayoshi Tomizuka

Wei Zhan

2024/1/27

PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models

arXiv preprint arXiv:2402.16836

Dingkun Guo

Yuqi Xiang

Shuqi Zhao

Xinghao Zhu

Masayoshi Tomizuka

...

2024/2/26

Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration

arXiv preprint arXiv:2309.09408

Jinning Li

Xinyi Liu

Banghua Zhu

Jiantao Jiao

Masayoshi Tomizuka

...

2023/9/18

Efficient Reinforcement Learning of Task Planners for Robotic Palletization through Iterative Action Masking Learning

arXiv preprint arXiv:2404.04772

Zheng Wu

Yichuan Li

Wei Zhan

Changliu Liu

Yun-Hui Liu

...

2024/4/7

Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving

arXiv preprint arXiv:2402.15583

Yichen Xie

Hongge Chen

Gregory P Meyer

Yong Jae Lee

Eric M Wolff

...

2024/2/23

Q-SLAM: Quadric Representations for Monocular SLAM

arXiv preprint arXiv:2403.08125

Chensheng Peng

Chenfeng Xu

Yue Wang

Mingyu Ding

Heng Yang

...

2024/3/12

BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay

arXiv preprint arXiv:2402.14194

Catherine Weaver

Chen Tang

Ce Hao

Kenta Kawamoto

Masayoshi Tomizuka

...

2024/2/22

DrPlanner: Diagnosis and Repair of Motion Planners Using Large Language Models

arXiv preprint arXiv:2403.07470

Yuanfei Lin

Chenran Li

Mingyu Ding

Masayoshi Tomizuka

Wei Zhan

...

2024/3/12

Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning

IEEE Robotics and Automation Letters

Ce Hao

Catherine Weaver

Chen Tang

Kenta Kawamoto

Masayoshi Tomizuka

...

2024/2/21

Pessimistic offline reinforcement learning system and method

2024/2/1

Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach

arXiv preprint arXiv:2403.06086

Juanwu Lu

Wei Zhan

Masayoshi Tomizuka

Yeping Hu

2024/4/18

Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Jinhyung Park

Chenfeng Xu

Shijia Yang

Kurt Keutzer

Kris Kitani

...

2023

SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection

Yichen Xie

Chenfeng Xu

Marie-Julie Rakotosaona

Patrick Rim

Federico Tombari

...

2023

Controllable Clothoid Path Generation for Autonomous Vehicles

IEEE Robotics and Automation Letters

Songyi Zhang

Runsheng Wang

Zhiqiang Jian

Wei Zhan

Nanning Zheng

...

2023/6/22

Clothoid-Based Reference Path Reconstruction for HD Map Generation

IEEE Transactions on Intelligent Transportation Systems

Songyi Zhang

Runsheng Wang

Zhiqiang Jian

Wei Zhan

Nanning Zheng

...

2023/8/24

Human-oriented Representation Learning for Robotic Manipulation

arXiv preprint arXiv:2310.03023

Mingxiao Huo

Mingyu Ding

Chenfeng Xu

Thomas Tian

Xinghao Zhu

...

2023/10/4

Long-Term Dynamic Window Approach for Kinodynamic Local Planning in Static and Crowd Environments

IEEE Robotics and Automation Letters

Zhiqiang Jian

Songyi Zhang

Lingfeng Sun

Wei Zhan

Nanning Zheng

...

2023/4/12

Residual Q-Learning: Offline and Online Policy Customization without Value

Advances in Neural Information Processing Systems

Chenran Li

Chen Tang

Haruki Nishimura

Jean Mercat

Masayoshi Tomizuka

...

2024/2/13

DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds

Chensheng Peng

Guangming Wang

Xian Wan Lo

Xinrui Wu

Chenfeng Xu

...

2023

LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

arXiv preprint arXiv:2310.03026

Hao Sha

Yao Mu

Yuxuan Jiang

Li Chen

Chenfeng Xu

...

2023/10/4

See List of Professors in Wei Zhan University(University of California, Berkeley)