Scholar
Shiwei Zeng
Google Scholar ID: gnNGU4UAAAAJ
Assistant Professor, Augusta University
Citations & Impact
Citations
33
H-index
3
i10-index
2
Publications
6
Co-authors
1
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- - Publications:
- * Attribute-Efficient PAC Learning of Sparse Halfspaces with Constant Malicious Noise Rate. [arxiv]
- * Attribute-efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise, ICML 2023. [arxiv] [link]
- * Semi-verified PAC Learning from the Crowd, AISTATS 2023. [arxiv] [link]
- * List-Decodable Sparse Mean Estimation, NeurIPS 2022. [arxiv] [link]
- * Efficient PAC Learning from the Crowd with Pairwise Comparison, ICML 2022. [arxiv] [link]
- - Doctoral Thesis: Data-Efficiency and Robustness in Machine Learning [link]
- - Academic Services: Conference Reviewer for multiple international conferences, such as IJCAI2021, IJCAI2022, ICML2022, ISIT2022, NeurIPS2022, ACML2022, AAAI2023, AISTATS2023, IJCAI2023, ICML2023, NeurIPS2023, AAAI2024, ICLR2024, AISTATS2024, IJCAI2024, ICML2024, NeurIPS2024, ACML2024, AAAI2025, ICLR2025, AISTATS2025, ICML2025, NeurIPS2025
- - Awards:
- * May 2024 - Excellence in Graduate Research Award (Class of 2024)
- * May 2023 - Selected for the Stevens Excellence Doctoral Fellowship for the 2023-24 academic year
- * February 2022 - Early-career AMS-NSF-Simons-ICM Travel Grant to participate in ICM2022 in Saint Petersburg (ICM went virtual)
Research Experience
- - Tenure-track Assistant Professor at SCCS Augusta University, GA, starting August 2024
- - Research Group Members: Doctoral: Rita Adhikari (exp: Fall 2025 -), Undergrads: Adam Reynolds (Spring 2025)
- - Teaching Experience: DASC 4850A - Machine Learning (Fall 2025), CSCI 3430A - Artificial Intelligence (Spring 2025)
Education
- - Ph.D. in CS at Stevens Institute of Technology in 2024, advised by Professor Jie Shen
- - Bachelor's degrees from Sun Yat-sen University and Hong Kong Polytechnic University in 2015
Background
- - Research Interests: Machine Learning Theory and Algorithmic Robustness, including modern challenges such as malicious adversaries, data deficiency, and unreliable human feedbacks
- - Other Research Interests: Data Privacy, Algorithmic Fairness, and Algorithmic Game Theory
- - Recently Concerned About: Multiclass Learning Problems
Miscellany
- - Hobbies: Dancing, active in Hong Kong and New York City from 2013 to 2020
- - Sports: Ultimate Frisbee
