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General Information
| Full Name | Jinghan Jia |
| Date of Birth | 27th July 1997 |
| Languages | English, Mandarin |
Education
- 2021-Now
Ph.D. student in Computer Science
Michigan State University, Lansing, United States
- Trustworthy Machine Learning
- Robustness
- Explanability
- Privacy
- Scalable Machine Learning
- Efficient Algorithm
- Efficient Model
- Efficient Data
- Trustworthy Machine Learning
- 2019-2021
M.S. degree in Electrical and Computer Engineering
University of Florida, Gainesville, United States
- 2015-2019
B.E. degree in Computer Science
University of Science and Technology of China, Hefei, China
Internship Experience
- 2017-2018
Machine learning engineer
Zoom
Professional Services
- Conference Reviewer: ICASSP’22, ICML’22, ICLR’22, NeurIPS’22, CVPR.
- Code demo for NeurIPS'22 Tutorial (Foundational Robustness of Foundation Models).
- Chair of ICML’22 Workshop AdvML (AdvML Frontiers 2022).
- TPC of KDD’22 Workshop 4th Workshop on Adversarial Learning Methods for Machine Learning and Data Mining.
Talk
- How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective at trustworthy machine learning initiative.