Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
Yunyue Wei, Vincent Zhuang, Saraswati Soedarmadji, Yanan Sui
Neural Information Processing Systems (NeurIPS), 2024
Yanan Sui
Associate Professor
National Engineering Research Center of Neuromodulation
School of Aerospace Engineering
Tsinghua University
Research Areas
Learning to Move
for better Understanding and Restoration of Human Motor Functions
Machine Learning for Control and Dynamical Systems
Optimization and Reinforcement learning
with Safety Constraints, Preference Feedback, and Structured Decision Spaces
Neural Engineering and Robotics
Neuro-Musculo-Skeletal Modeling
Neuromodulation and Robotics for Movement Disorders
Bio
Yanan Sui is an associate professor at Tsinghua University working on Machine Learning for Control and Dynamical Systems, Neural Engineering, and Robotics. He received undergraduate degree from Tsinghua and Ph.D. degree from Caltech, working with Profs. Mu-ming Poo, Joel Burdick, and Yisong Yue. He was a postdoc with Prof. Fei-Fei Li at Stanford before joining Tsinghua.
Yanan was listed as one of the MIT TR35 (Innovator Under 35) in China by MIT TechReview in 2020. His work on Safe Optimization has been regularly taught in CS and Aero/Astro courses at multiple universities. His work on Preference Optimization has been applied to clinical treatments, and led to a best paper award at ICRA’20.
Teaching
Human Factors and Artificial Intelligence
人因工程与人工智能
Undergrads may contact me through email
if interested in research programs below:
SRT @ Tsinghua
SURF @ Caltech
UGVR @ Stanford
Previous Teaching/Mentoring:
Instructor
CS 337, AI-Assisted Health Care @Stanford, 2018 - 2019
Teaching Assistant
Contemporary Methods in System Neuroscience Research @Tsinghua, 2009
Mentoring Research Projects
Computation and Mathematical Sciences @Caltech, 2015 - 2018
Computer Science @Stanford, 2018 - 2019
AI Innovation and Entrepreneurship Course Project
Publications
2024
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems
Yunyue Wei, Zeji Yi, Hongda Li, Saraswati Soedarmadji, Yanan Sui
Conference on Robot Learning (CoRL), 2024
Distributionally Robust Constrained Reinforcement Learning under Strong Duality
Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue
Reinforcement Learning Conference (RLC), 2024
FaceMotionPreserve: a generative approach for facial de-identification and medical information preservation
Bingquan Zhu, Chen Zhang, Yanan Sui, Luming Li
Scientific Reports
DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems
Kaibo He, Chenhui Zuo, Chengtian Ma, Yanan Sui
International Conference on Machine Learning (ICML), 2024
A Survey of Constraint Formulations in Safe Reinforcement Learning
Akifumi Wachi, Xun Shen, Yanan Sui
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Improving Sample Efficiency of High-Dimensional Bayesian Optimization with MCMC
Zeji Yi, Yunyue Wei, Chu Xin Cheng, Kaibo He, Yanan Sui
Learning for Dynamics & Control Conference (L4DC), 2024
An Invariant Information Geometric Method for High-Dimensional Online Optimization
Zhengfei Zhang, Yunyue Wei, Yanan Sui
Learning for Dynamics & Control Conference (L4DC), 2024
Self Model for Embodied Intelligence: Modeling Full-Body Human Musculoskeletal System and Locomotion Control with Hierarchical Low-Dimensional Representation
Kaibo He, Chenhui Zuo, Jing Shao, Yanan Sui
International Conference on Robotics and Automation (ICRA), 2024
2023
Adaptive Learning based Upper-Limb Rehabilitation Training System with Collaborative Robot
Jun Hong Lim, Kaibo He, Zeji Yi, Chen Hou, Chen Zhang, Yanan Sui, Luming Li
International Conference of Engineering in Medicine and Biology Society (EMBC), 2023
Automatic Sleep Stage Classification with Cross-modal Self-supervised Features from Deep Brain Signals
Chen Gong, Yue Chen, Yanan Sui, Luming Li
International IEEE/EMBS Conference on Neural Engineering (NER), 2023
2022
Deep brain–machine interfaces: sensing and modulating the human deep brain
Yanan Sui, Huiling Yu, Chen Zhang, Yue Chen, Changqing Jiang, Luming Li
National Science Review
{Issue Cover}
2021
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality
Songyuan Zhang, Zhangjie Cao, Dorsa Sadigh, Yanan Sui
Neural Information Processing Systems (NeurIPS), 2021
Safe Policy Optimization with Local Generalized Linear Function Approximations
Akifumi Wachi, Yunyue Wei, Yanan Sui
Neural Information Processing Systems (NeurIPS), 2021
Imitation with Neural Density Models
Kuno Kim, Akshat Jindal, Yang Song, Jiaming Song, Yanan Sui, Stefano Ermon
Neural Information Processing Systems (NeurIPS), 2021
Interactive Video Acquisition and Learning System for Motor Assessment of Parkinson’s Disease
Yunyue Wei, Bingquan Zhu, Chen Hou, Chen Zhang, Yanan Sui
International Joint Conference on Artificial Intelligence (IJCAI), 2021
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes
Kejun Li, Maegan Tucker, Erdem Bıyık, Ellen Novoseller, Joel W Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames
International Conference on Robotics and Automation (ICRA), 2021
No-Regret Reinforcement Learning with Heavy-Tailed Rewards
Vincent Zhuang, Yanan Sui
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Deep Brain Stimulation Initiative: Towards Innovative Technology, New Disease Indications, and Approaches to Current and Future Clinical Challenges in Neuromodulation Therapy
Yanan Sui, Tian Ye, Wai Kin Daniel Ko, Zhiyan Wang, Fumin Jia, Andreas Horn, Dirk De Ridder, Ki Sueng Choi, Ausaf A Bari, Shouyan Wang, Clement Hamani, Kenneth Baker, Andre Machado, Tipu Z Aziz, Erich Talamoni Fonoff, Andrea A Kühn, Hagai Bergman, Terence David Sanger, Hesheng Liu, Suzanne Haber, Luming Li
Frontiers in Neurology, 2021
2020
Parkinsonian Chinese Speech Analysis towards Automatic Classification of Parkinson's Disease
Hao Fang, Chen Gong, Chen Zhang, Yanan Sui, Luming Li
Machine Learning for Health, 2020
Chronically monitoring the deep brain rhythms: latest clinical progress
Yue Chen, Yanan Sui, Chen Gong, Bozhi Ma, Hongwei Hao, Luming Li
Science Bulletin, 2020
Safe Reinforcement Learning in Constrained Markov Decision Processes
Akifumi Wachi, Yanan Sui
International Conference on Machine Learning (ICML), 2020
Dueling Posterior Sampling for Preference-Based Reinforcement Learning
Ellen Novoseller, Yibing Wei, Yanan Sui, Yisong Yue, Joel Burdick
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
Preference-Based Learning for Exoskeleton Gait Optimization
Maegan Tucker, Ellen Novoseller, Claudia Kann, Yanan Sui, Yisong Yue, Joel Burdick, Aaron D. Ames
International Conference on Robotics and Automation (ICRA), 2020
{Best Conference Paper Award}
{Best Paper Award on Human-Robot Interaction}
Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation
Bingquan Zhu, Hao Fang, Yanan Sui, Luming Li
AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2020
2019
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation
Chien-Yi Chang, De-An Huang, Yanan Sui, Li Fei-Fei, Juan Carlos Niebles
IEEE Computer Vision and Pattern Recognition (CVPR), 2019
Motor Control after Human SCI through Activation of Muscle Synergies under Spinal Cord Stimulation
Richard Cheng, Yanan Sui, Dimitry Sayenko, Joel Burdick
IEEE Trans on Neural Systems and Rehabilitation Engineering, 2019
Automatic Sleep Stage Classification Based on Subthalamic Local Field Potentials
Yue Chen, Chen Gong, Hongwei Hao, Yi Guo, Shujun Xu, Yuhuan Zhang, Guoping Yin, Xin Cao, Anchao Yang, Fangang Meng, Jingying Ye, Hesheng Liu, Jianguo Zhang, Yanan Sui, Luming Li
IEEE Trans on Neural Systems and Rehabilitation Engineering, 2019
2018
On Muscle Activation for Improving Robotic Rehabilitation after Spinal Cord Injury
Richard Cheng, Yanan Sui, Dimitry Sayenko, Joel Burdick
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
Stagewise Safe Bayesian Optimization with Gaussian Processes
Yanan Sui, Vincent Zhuang, Joel Burdick, Yisong Yue
International Conference on Machine Learning (ICML), 2018
Advancements in Dueling Bandits
Yanan Sui, Masrour Zoghi, Katja Hofmann, Yisong Yue
International Joint Conference on Artificial Intelligence (IJCAI), 2018
Safe Exploration and Optimization of Constrained MDPs using Gaussian Processes
Akifumi Wachi, Yanan Sui, Yisong Yue, Masahiro Ono
AAAI Conference on Artificial Intelligence (AAAI), 2018
2017 & earlier
Quantifying performance of bipedal standing with multi-channel EMG
Yanan Sui, Kun ho Kim, Joel Burdick
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
Correlational dueling bandits with application to clinical treatment in large decision spaces
Yanan Sui, Yisong Yue, Joel Burdick
International Joint Conference on Artificial Intelligence (IJCAI), 2017
Multi-dueling bandits with dependent arms
Yanan Sui, Vincent Zhuang, Joel Burdick, Yisong Yue
Conference on Uncertainty in Artificial Intelligence (UAI), 2017
Safe Exploration for Optimization with Gaussian Processes
Yanan Sui, Alkis Gotovos, Joel Burdick, Andreas Krause
International Conference on Machine Learning (ICML), 2015
* Book chapter of Algorithms for Optimization, kindly provided by Prof. Mykel Kochenderfer @Stanford.
Clinical online recommendation with subgroup rank feedback
Yanan Sui, Joel Burdick
ACM Conference on Recommender Systems (RecSys), 2014
Tonotopic reorganization and spontaneous firing in inferior colliculus during both short and long recovery periods after noise overexposure
Feng Wang, Li Zuo, Bo Hong, Dongyi Han, Ethan M Range, Lingyun Zhao, Yanan Sui, Weiwei Guo and Liangfa Liu
Journal of Biomedical Science 2013, 20:91
Axon position within the corpus callosum determines contralateral cortical projection
Jing Zhou, Yunqing Wen, Liang She, Yanan Sui, Lu Liu, Linda J. Richards, and Mu-ming Poo
Proceedings of the National Academy of Sciences (PNAS) 110.29 (2013): E2714-E2723
Forward transport of proteins in the plasma membrane of migrating cerebellar granule cells
Dong Wang, Liang She, Yanan Sui, Xiao-bing Yuan, Yunqing Wen and Mu-ming Poo
Proceedings of the National Academy of Sciences (PNAS) 109.51 (2012): E3558-E3567
Contact
Yanan Sui
ysui [AT] tsinghua.edu.cn
MengMinWei Sci.&Tech. Building North Wing, Room N-623
School of Aerospace Engineering
Tsinghua University
Beijing, China 100084
LNS Group
Learning & Neural Systems Group
lnsgroup [AT] tsinghua.edu.cn
MengMinWei Sci.&Tech. Building North Wing, Room N-702B
School of Aerospace Engineering
Tsinghua University
Beijing, China 100084
National Engineering Research Center of Neuromodulation
neln [AT] tsinghua.edu.cn
+86 10 6279 4952
MengMinWei Sci.&Tech. Building North Wing, Room N-204B
School of Aerospace Engineering
Tsinghua University
Beijing, China 100084