Shengbo Eben Li(李升波)

Shengbo Eben Li(李升波)

Tsinghua University

H-index: 67

Asia-China

About Shengbo Eben Li(李升波)

Shengbo Eben Li(李升波), With an exceptional h-index of 67 and a recent h-index of 62 (since 2020), a distinguished researcher at Tsinghua University, specializes in the field of Automotive and energy control systems, Optimal control, Reinforcement learning.

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

On the Stability of Datatic Control Systems

Quantifying the Individual Differences of Drivers’ Risk Perception via Potential Damage Risk Model

Safe offline reinforcement learning with feasibility-guided diffusion model

BAT: Behavior-aware human-like trajectory prediction for autonomous driving

A Transformation-Aggregation Framework for State Representation of Autonomous Driving Systems

Policy Bifurcation in Safe Reinforcement Learning

Low-rank Tensor Autoregressive Predictor for Third-Order Time-Series Forecasting

Advance-FL: A3C-based Adaptive Asynchronous Online Federated Learning for Vehicular Edge Cloud Computing Networks

Shengbo Eben Li(李升波) Information

University

Position

Professor at

Citations(all)

17798

Citations(since 2020)

13784

Cited By

8718

hIndex(all)

67

hIndex(since 2020)

62

i10Index(all)

172

i10Index(since 2020)

165

Email

University Profile Page

Tsinghua University

Google Scholar

View Google Scholar Profile

Shengbo Eben Li(李升波) Skills & Research Interests

Automotive and energy control systems

Optimal control

Reinforcement learning

Top articles of Shengbo Eben Li(李升波)

Title

Journal

Author(s)

Publication Date

On the Stability of Datatic Control Systems

arXiv preprint arXiv:2401.16793

Yujie Yang

Zhilong Zheng

Shengbo Eben Li

2024/1/30

Quantifying the Individual Differences of Drivers’ Risk Perception via Potential Damage Risk Model

IEEE Transactions on Intelligent Transportation Systems

Chen Chen

Zhiqian Lan

Guojian Zhan

Yao Lyu

Bingbing Nie

...

2024/4/4

Safe offline reinforcement learning with feasibility-guided diffusion model

arXiv preprint arXiv:2401.10700

Yinan Zheng

Jianxiong Li

Dongjie Yu

Yujie Yang

Shengbo Eben Li

...

2024/1/19

BAT: Behavior-aware human-like trajectory prediction for autonomous driving

Proceedings of the AAAI Conference on Artificial Intelligence

Haicheng Liao

Zhenning Li

Huanming Shen

Wenxuan Zeng

Dongping Liao

...

2024/3/24

A Transformation-Aggregation Framework for State Representation of Autonomous Driving Systems

IEEE Transactions on Intelligent Transportation Systems

Guojian Zhan

Yuxuan Jiang

Shengbo Eben Li

Yao Lyu

Xiangteng Zhang

...

2024/1/16

Policy Bifurcation in Safe Reinforcement Learning

arXiv preprint arXiv:2403.12847

Wenjun Zou

Yao Lv

Jie Li

Yujie Yang

Shengbo Eben Li

...

2024/3/19

Low-rank Tensor Autoregressive Predictor for Third-Order Time-Series Forecasting

arXiv preprint arXiv:2403.02835

Haoning Wang

Liping Zhang

Shengbo Eben Li

2024/3/5

Advance-FL: A3C-based Adaptive Asynchronous Online Federated Learning for Vehicular Edge Cloud Computing Networks

IEEE Transactions on Intelligent Vehicles

Guifu Ma

Yougang Bian

Hongmao Qin

Chenlong Yin

Chaoyi Chen

...

2024/4/22

Canonical Form of Datatic Description in Control Systems

arXiv preprint arXiv:2403.01768

Guojian Zhan

Ziang Zheng

Shengbo Eben Li

2024/3/4

Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-Lane Scenarios

arXiv preprint arXiv:2109.05540

Jingliang Duan

Yangang Ren

Fawang Zhang

Yang Guan

Dongjie Yu

...

2021/9/12

Model-free safe reinforcement learning through neural barrier certificate

IEEE Robotics and Automation Letters

Yujie Yang

Yuxuan Jiang

Yichen Liu

Jianyu Chen

Shengbo Eben Li

2023/1/20

Feasible policy iteration

arXiv preprint arXiv:2304.08845

Yujie Yang

Zhilong Zheng

Shengbo Eben Li

Jingliang Duan

Jingjing Liu

...

2023/4/18

Continuous-Time Policy Optimization

Guojian Zhan

Yuxuan Jiang

Jingliang Duan

Shengbo Eben Li

Bo Cheng

...

2023/5/31

Synthesizing Control Barrier Functions With Feasible Region Iteration for Safe Reinforcement Learning

IEEE Transactions on Automatic Control

Yujie Yang

Yuhang Zhang

Wenjun Zou

Jianyu Chen

Yuming Yin

...

2023/11/23

Learning optimal robust control of connected vehicles in mixed traffic flow

Jie Li

Jiawei Wang

Shengbo Eben Li

Keqiang Li

2023/12/13

Bridging the Gap between Newton-Raphson Method and Regularized Policy Iteration

arXiv preprint arXiv:2310.07211

Zeyang Li

Chuxiong Hu

Yunan Wang

Guojian Zhan

Jie Li

...

2023/10/11

Optimization Landscape of Policy Gradient Methods for Discrete-Time Static Output Feedback

IEEE Transactions on Cybernetics

Jingliang Duan

Jie Li

Xuyang Chen

Kai Zhao

Shengbo Eben Li

...

2023/10/26

Relaxed Policy Iteration Algorithm for Nonlinear Zero-Sum Games with Application to H-infinity Control

IEEE Transactions on Automatic Control

Jie Li

Shengbo Eben Li

Jingliang Duan

Yao Lyu

Wenjun Zou

...

2023/4/11

LipsNet: a smooth and robust neural network with adaptive Lipschitz constant for high accuracy optimal control

Xujie Song

Jingliang Duan

Wenxuan Wang

Shengbo Eben Li

Chen Chen

...

2023/7/3

Generalized moving horizon estimation for nonlinear systems with robustness to measurement outliers

Wenhan Cao

Chang Liu

Zhiqian Lan

Yingxi Piao

Shengbo Eben Li

2023/5/31

See List of Professors in Shengbo Eben Li(李升波) University(Tsinghua University)