Sicun Gao

Sicun Gao

University of California, San Diego

H-index: 22

North America-United States

About Sicun Gao

Sicun Gao, With an exceptional h-index of 22 and a recent h-index of 21 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of Reasoning, Optimization, Automation.

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

Fractal Landscapes in Policy Optimization

Iterative Reachability Estimation for Safe Reinforcement Learning

Sample-and-Bound for Non-Convex Optimization

Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller

Everyone’s preference changes differently: A weighted multi-interest model for retrieval

Safe control with learned certificates: A survey of neural lyapunov, barrier, and contraction methods for robotics and control

Scale: Online self-supervised lifelong learning without prior knowledge

Learning Stabilization Control from Observations by Learning Lyapunov-like Proxy Models

Sicun Gao Information

University

Position

___

Citations(all)

2844

Citations(since 2020)

1839

Cited By

1638

hIndex(all)

22

hIndex(since 2020)

21

i10Index(all)

42

i10Index(since 2020)

33

Email

University Profile Page

Google Scholar

Sicun Gao Skills & Research Interests

Reasoning

Optimization

Automation

Top articles of Sicun Gao

Title

Journal

Author(s)

Publication Date

Fractal Landscapes in Policy Optimization

Advances in Neural Information Processing Systems

Tao Wang

Sylvia Herbert

Sicun Gao

2024/2/13

Iterative Reachability Estimation for Safe Reinforcement Learning

Advances in Neural Information Processing Systems

Milan Ganai

Zheng Gong

Chenning Yu

Sylvia Herbert

Sicun Gao

2024/2/13

Sample-and-Bound for Non-Convex Optimization

Yaoguang Zhai

Zhizhen Qin

Sicun Gao

2024/1/9

Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller

arXiv preprint arXiv:2404.01184

Mingxin Yu

Chenning Yu

M Naddaf-Sh

Devesh Upadhyay

Sicun Gao

...

2024/4/1

Everyone’s preference changes differently: A weighted multi-interest model for retrieval

Hui Shi

Yupeng Gu

Yitong Zhou

Bo Zhao

Sicun Gao

...

2023/7/3

Safe control with learned certificates: A survey of neural lyapunov, barrier, and contraction methods for robotics and control

IEEE Transactions on Robotics

Charles Dawson

Sicun Gao

Chuchu Fan

2023/1/11

Scale: Online self-supervised lifelong learning without prior knowledge

Xiaofan Yu

Yunhui Guo

Sicun Gao

Tajana Rosing

2023

Learning Stabilization Control from Observations by Learning Lyapunov-like Proxy Models

Milan Ganai

Chiaki Hirayama

Ya-Chien Chang

Sicun Gao

2023/5/29

Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality

Chenning Yu

Qingbiao Li

Sicun Gao

Amanda Prorok

2023/5/29

Tactics of Robust Deep Reinforcement Learning with Randomized Smoothing

Chung-En Sun

Sicun Gao

Tsui-Wei Weng

2023/10/13

Patching neural barrier functions using hamilton-jacobi reachability

arXiv preprint arXiv:2304.09850

Sander Tonkens

Alex Toofanian

Zhizhen Qin

Sicun Gao

Sylvia Herbert

2023/4/19

Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance

Hongzhan Yu

Chiaki Hirayama

Chenning Yu

Sylvia Herbert

Sicun Gao

2023/10/1

Learning control admissibility models with graph neural networks for multi-agent navigation

Chenning Yu

Hongzhan Yu

Sicun Gao

2023/3/6

Policy optimization with advantage regularization for long-term fairness in decision systems

arXiv preprint arXiv:2210.12546

Eric Yang Yu

Zhizhen Qin

Min Kyung Lee

Sicun Gao

2022/10/22

Safe nonlinear control using robust neural lyapunov-barrier functions

Charles Dawson

Zengyi Qin

Sicun Gao

Chuchu Fan

2022/1/11

Everyone's Preference Changes Differently: Weighted Multi-Interest Retrieval Model

arXiv preprint arXiv:2207.06652

Hui Shi

Yupeng Gu

Yitong Zhou

Bo Zhao

Sicun Gao

...

2022/7/14

Lyapunov Regularized Forecaster

Machine Learning and the Physical Sciences workshop, NeurIPS

Rong Zheng

Sicun Gao

Rose Yu

2022

Learning bounded context-free-grammar via LSTM and the transformer: difference and the explanations

Proceedings of the AAAI conference on artificial intelligence

Hui Shi

Sicun Gao

Yuandong Tian

Xinyun Chen

Jishen Zhao

2022/6/28

Monte Carlo Tree Descent for Black-Box Optimization

Advances in Neural Information Processing Systems

Yaoguang Zhai

Sicun Gao

2022/12/6

Learning-based motion planning in dynamic environments using gnns and temporal encoding

Advances in Neural Information Processing Systems

Ruipeng Zhang

Chenning Yu

Jingkai Chen

Chuchu Fan

Sicun Gao

2022/12/6

See List of Professors in Sicun Gao University(University of California, San Diego)