Zhenyi Wang
Postdoctoral Associate at University of Maryland, College Park
Brendan Iribe Center for Computer Science and Engineering
8125 Paint Branch Drive
College Park, Maryland
I’m Zhenyi Wang, currently a Postdoctoral Associate at University of Maryland, College Park, working with Prof. Heng Huang. Previously, I received my PhD from Department of Computer Science and Engineering at University at Buffalo in 2023, working with Prof. Mingchen Gao.
Research Summary: My long-term research goal is to develop artificial general intelligence (AGI) that is data-efficient, capable of continual learning, responsible, secure, and able to reuse and assemble knowledge. Specifically, I have developed algorithms across the following research areas: (1) Continual learning. (2) AI safety for responsible AGI, focusing on protecting model intellectual property and ensuring appropriate usage through applicability authorization mechanisms. (3) Knowledge reuse and reassembly from existing pre-trained models. (4) Data-efficient learning.
Specifically:
- Continual Learning: (1) Memorization and Generalization Trade-Off [ICML2022], (2) Generalized Distributionally Robust Memory Evolution [TPAMI2023], (3) Low-Rank Memory Parameterization [NeurIPS2023], (4) Remember and Forget Trade-Off [ICLR2024], (5) Old Task and New Task Trade-Off [NeurIPS2024]
- AI Safety and Trustworthy AI:, Deep Model Intellectual Property Protection: (1) Model Extraction Aggregation [ICML2023], (2) Sparse Model Inversion [ICML2024], (3) Applicability/Usage Authorization [ICLR2024], (4) Efficient Model Extraction Defense [NeurIPS2023, ICML2024]
- Model Merge and Reuse: (1) Adaptive Model Merging [ICLR2024], (2) Representation Surgery [ICML2024], (3) Model Grouping [ICML2024]
- Data Efficient Learning: (1) Bayesian Meta Sampling for Few-Shot Learning Uncertainty Adaptation [ICLR2020], (2) Neural Tangent Kernel for Inner-Loop-Free Few-Shot Learning [ICLR2021], (3) Few-Shot Learning in Evolving Domains [ICCV2021, CVPR2022]
Please refer to Google Scholar for more papers
I am on the academic job market. Feel free to reach out if interested.
News
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November 2024 One paper has been accepted by TPAMI.
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September 2024 One paper has been accepted by NeurIPS 2024.
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September 2024 One paper has been accepted by TPAMI.
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July 2024 Two papers accepted at ECCV 2024.
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May 2024 Four papers accepted at ICML 2024.
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February 2024 One paper accepted at CVPR 2024.
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January 2024 Three papers accepted at ICLR 2024.
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September 2023 Two papers has been accepted by NeurIPS 2023.
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September 2023 One paper has been accepted by TPAMI.