Visiting Scholar @ IBM Research • Previously: NTHU / MediaTek / Logitech
About me: I am a research assistant working with Prof. Tsung-Yi Ho at National Tsing Hua University (NTHU). Currently, I visit IBM Thomas J. Watson Research Center in New York and do machine learning research with Dr. Pin-Yu Chen. Previously, I completed my MSc in Computer Science at NTHU in 2022; I also got my BSc in Mathematics and Computer Science from NTHU in 2020. I had also spent time at MediaTek (2021/22) and Logitech (2020).
Research interests: I’m broadly interested in all aspects of machine learning, and particularly in Deep Learning and Human-centered AI (e.g., robustness, fairness, visualization, healthcare, robotics, etc.) I want to develop robust machine-learning applications that can reliably interact with the dynamic world and keep environment and humanity at its core. This goal can be approached from different angles, including ways to make decision-making in AI systems more transparent, methods to quantify uncertainty and improve robustness, innovations to reduce power consumption, and user studies to understand human behavior, trust and acceptance.
|02/2023||My first paper accepted to CVPR 2023 (acceptance rate = 2360/9155 = 25.78%)|
|12/2022||Accepted ICML 2023 reviewer invitation|
|11/2022||Presenting “CARBEN: Composite Adversarial Robustness Benchmark” for two sessions at NeurIPS 2022 IBM Research booth|
|11/2022||One paper accepted to NeurIPS 2022 Workshop on ML for Systems|
|10/2022||One paper accepted to AAAI 2023 demo track|
|10/2022||Beginning my visit to IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA|
|09/2022||Give an oral presentation for our paper at AutomotiveUI 2022|
|07/2022||Give an oral presentation/demonstration for our paper at IJCAI 2022|
|06/2022||Accepted KDD 2022 Workshop on Adversarial Learning Methods for Machine Learning and Data Mining PC invitation|
|06/2022||Selected as a Honorary Member of The Phi Tau Phi Scholastic Honor Society of R.O.C.|
|06/2022||Accepted ICML 2022 Workshop on Adversarial Machine Learning Frontiers PC invitation|
|04/2022||One paper accepted to IJCAI 2022 demo track|