Yueh-Hua Wu

About Me

I am a Ph.D. student advised by Xiaolong Wang at UC San Diego in the CSE department. I received my M.S. degree in Computer Science and Information Engineering at National Taiwan University. In the past, I've worked with Hao Su at UCSD and Masashi Sugiyama at RIKEN-AIP. I received my B.S. in Electrical Engineering from National Taiwan University. My research interest lies in exploring machine learning, reinforcement learning and robotics for real-world decision-making problems such as object manipulation by considering the imperfectness of data and costly sampling conditions. Please see my CV for more information. If you would like to know more about my research, please contact me via email, kriswu8021 [at] gmail.com.

Education

2020/09 - Present

Ph.D. in Computer Science and Engineering, University of California San Diego, USA

2017/09 - 2020/05

M.S. in Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan

2013/09 - 2017/06

B.S. in Electrical Engineering, National Taiwan University, Taipei, Taiwan

Publications

Learning Generalizable Dexterous Manipulation from Human Grasp Affordance [website]
Yueh-Hua Wu*, Jiashun Wang*, and Xiaolong Wang
In Proceedings of the Conference on Robotic Learning (CoRL), 2022
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos [website]
Yuzhe Qin*, Yueh-Hua Wu*, Shaowei Liu, Hanwen Jiang, Ruihan Yang, Yang Fu, and Xiaolong Wang
In Proceedings of the European Conference on Computer Vision (ECCV), 2022
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh, Yueh-Hua Wu (corresponding author), Ping-Yang Chen, and Jun-Wei Hsieh
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Workshops), 2020
Model Imitation for Model-Based Reinforcement Learning
Yueh-Hua Wu*, Ting-Han Fan*, Peter J. Ramadge, and Hao Su
ICLR 2020 Submission (Scores: 6, 6, 6)
Preprint arXiv:1909.11821, 2019
Imitation Learning from Imperfect Demonstration (Oral) [code] [slides] [poster]
Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao, Voot Tangkaratt, and Masashi Sugiyama
In Proceedings of the 36th International Conference on Machine Learning (ICML), 2019
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning
Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, and Shou-De Lin
In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019
A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents (Oral) [code]
Yueh-Hua Wu and Shou-De Lin
In Proceedings of the 32nd AAAI conference on Artificial Intelligence (AAAI), 2018
Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping (Oral)
Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, and Shou-De Lin
In Proceedings of the 1st AAAI/ACM conference on Artificial Intelligence, Ethics, and Society (AIES), 2018

Work Experiences

2023/09 -

Research Intern at NVIDIA

2022/12 - 2023/03

Research Intern at OMRON SINIC X Corporation

2022/06 - 2022/09

Research Intern at Sony

2020/01 - 2020/06

AI Consultant at Elan Corporation

2019/07 - 2020/06

Research Assistant at Academia Sinica (advised by Mark Liao)

2019/07 - 2019/10

Visiting Graduate at UC San Diego (advised by Hao Su)

2019/02 - 2019/06

Research Intern at DeepHow

2018/07 - 2019/01

Research Intern at RIKEN Center for Advanced Intelligence Project (advised by Masashi Sugiyama)

2016/04 - 2017/12

Data Scientist Intern at Groundhog Technologies Inc.

2015/04 - 2016/04

Research Assistant at the Ministry of Science and Technology

Awards

J. Yang Scholarship, UC San Diego Institute of Engineering in Medicine, 2020 - 2021
Graduate Student Scholarship, the Ministry of Education, 2017 - 2019
Winner, ACM WSDM Cup 2016, 2016