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Shengbo Eben Li

Shengbo Eben Li

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
70
Citations
19785
World Ranking
915
National Ranking
158

Overview

Shengbo Eben Li is affiliated with Tsinghua University in China and has a research focus within engineering and computer science. Their work predominantly contributes to the fields of control and systems engineering, automotive engineering, and artificial intelligence, with significant emphasis on electrical and electronic engineering and mechanical engineering as well.

The core topics in their research include autonomous vehicle technology and safety, reinforcement learning in robotics, and traffic control and management. Their contributions also extend to advanced control systems optimization, adaptive dynamic programming control, vehicle dynamics and control systems, and electric and hybrid vehicle technologies.

Among their recent publications are:

  • Interpretable End-to-End Urban Autonomous Driving With Latent Deep Reinforcement Learning, 2021, IEEE Transactions on Intelligent Transportation Systems
  • Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness, 2021, Transportation Research Part C Emerging Technologies
  • A survey of powertrain configuration studies on hybrid electric vehicles, 2020, Applied Energy
  • Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Hierarchical reinforcement learning for self-driving decision-making without reliance on labelled driving data, 2020, IET Intelligent Transport Systems

Their frequent co-authors include Jingliang Duan, Yuming Yin, Yang Guan, Guojian Zhan, and Qi Sun. Collaboration with these co-authors shows a sustained engagement with peers specialized in related research areas over multiple projects.

Shengbo Eben Li's work has been published repeatedly in high-impact venues such as arXiv (Cornell University), IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles, IEEE Transactions on Neural Networks and Learning Systems, and Transportation Research Part C Emerging Technologies.

Their publication record encompasses a wide array of studies within these domains, reflecting ongoing research activity and contribution to emerging technologies in autonomous systems and control.

Best Publications

  • A comparative study of equivalent circuit models for Li-ion batteries

    Xiaosong Hu;Xiaosong Hu;Shengbo Li;Huei Peng

  • Distributed Model Predictive Control for Heterogeneous Vehicle Platoons Under Unidirectional Topologies

    Yang Zheng;Shengbo Eben Li;Keqiang Li;Francesco Borrelli

  • Stability and Scalability of Homogeneous Vehicular Platoon: Study on the Influence of Information Flow Topologies

    Yang Zheng;Shengbo Eben Li;Jianqiang Wang;Dongpu Cao

  • Combined State of Charge and State of Health estimation over lithium-ion battery cell cycle lifespan for electric vehicles

    Yuan Zou;Xiaosong Hu;Hongmin Ma;Shengbo Eben Li

  • Model Predictive Multi-Objective Vehicular Adaptive Cruise Control

    Shengbo Li;Keqiang Li;R Rajamani;Jianqiang Wang

  • String stability for vehicular platoon control: Definitions and analysis methods

    Shuo Feng;Yi Zhang;Shengbo Eben Li;Zhong Cao

  • Dynamical Modeling and Distributed Control of Connected and Automated Vehicles: Challenges and Opportunities

    Shengbo Eben Li;Yang Zheng;Keqiang Li;Yujia Wu

  • Reinforcement Learning Optimized Look-Ahead Energy Management of a Parallel Hybrid Electric Vehicle

    Teng Liu;Xiaosong Hu;Shengbo Eben Li;Dongpu Cao

  • Advanced Machine Learning Approach for Lithium-Ion Battery State Estimation in Electric Vehicles

    Xiaosong Hu;Shengbo Eben Li;Yalian Yang

  • A Survey on Cooperative Longitudinal Motion Control of Multiple Connected and Automated Vehicles

    Ziran Wang;Yougang Bian;Steven E. Shladover;Guoyuan Wu

  • Interpretable End-to-End Urban Autonomous Driving With Latent Deep Reinforcement Learning

    Jianyu Chen;Shengbo Eben Li;Masayoshi Tomizuka

  • Stability Margin Improvement of Vehicular Platoon Considering Undirected Topology and Asymmetric Control

    Yang Zheng;Shengbo Eben Li;Keqiang Li;Le-Yi Wang

  • Cooperative Method of Traffic Signal Optimization and Speed Control of Connected Vehicles at Isolated Intersections

    Biao Xu;Xuegang Jeff Ban;Yougang Bian;Wan Li

  • Reducing time headway for platooning of connected vehicles via V2V communication

    Yougang Bian;Yang Zheng;Yang Zheng;Wei Ren;Shengbo Eben Li

  • Robust control of heterogeneous vehicular platoon with uncertain dynamics and communication delay

    Feng Gao;Shengbo Eben Li;Yang Zheng;Dongsuk Kum

  • Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness

    Guofa Li;Yifan Yang;Shen Li;Xingda Qu

  • An overview of vehicular platoon control under the four-component framework

    Shengbo Eben Li;Yang Zheng;Keqiang Li;Jianqiang Wang

  • Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors.

    Jingliang Duan;Yang Guan;Shengbo Eben Li;Yangang Ren

  • Estimation of driving style in naturalistic highway traffic using maneuver transition probabilities

    Guofa Li;Shengbo Eben Li;Bo Cheng;Paul Green

  • Platooning of Connected Vehicles With Undirected Topologies: Robustness Analysis and Distributed H-infinity Controller Synthesis

    Yang Zheng;Shengbo Eben Li;Keqiang Li;Wei Ren

  • A survey of powertrain configuration studies on hybrid electric vehicles

    Weichao Zhuang;Shengbo Li;Xiaowu Zhang;Dongsuk Kum

  • Fractional-order modeling and parameter identification for lithium-ion batteries

    Baojin Wang;Baojin Wang;Shengbo Eben Li;Shengbo Eben Li;Huei Peng;Zhiyuan Liu

  • Robustness analysis of State-of-Charge estimation methods for two types of Li-ion batteries

    Xiaosong Hu;Xiaosong Hu;Shengbo Li;Shengbo Li;Huei Peng;Fengchun Sun

Frequent Co-Authors

Keqiang Li
Keqiang Li Tsinghua University
Huei Peng
Huei Peng University of Michigan–Ann Arbor
Xiaosong Hu
Xiaosong Hu Chongqing University
Le Yi Wang
Le Yi Wang Wayne State University
Dongsuk Kum
Dongsuk Kum Korea Advanced Institute of Science and Technology
Wei Ren
Wei Ren University of California, Riverside
Etienne Burdet
Etienne Burdet Imperial College London
Masayoshi Tomizuka
Masayoshi Tomizuka University of California, Berkeley
George Yin
George Yin University of Connecticut
Francesco Borrelli
Francesco Borrelli University of California, Berkeley

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