Zhuangdi Zhu

Assistant Professor, George Mason University

Joined

September 2020

Names

Zhuangdi Zhu (Preferred)

Emails

****@msu.edu (Confirmed)

****@gmu.edu (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Assistant Professor

George Mason University (gmu.edu)

2024 – Present

PhD student

Michigan State University (msu.edu)

2017 – 2022

Advisors, Relations & Conflicts

PhD Advisor

Jiayu Zhou

2017 – Present

Expertise

Meta Learning

2020 – Present

Reinforcement Learning

2019 – Present

Machine Learning

2017 – Present

Publications

LLM Unlearning via Calibrated and Tokenized Negative Preference Alignment
Zhengbang Yang, Yisheng Zhong, Junyuan Hong, Zhuangdi Zhu
- ResponsibleFM @ NeurIPS 2025
- Readers: Everyone
Web Intellectual Property at Risk: Preventing Unauthorized Real-Time Retrieval by Large Language Models
Yisheng Zhong, Yizhu Wen, Junfeng Guo, Mehran Kafai, Heng Huang, Hanqing Guo, Zhuangdi Zhu
- EMNLP 2025
- Readers: Everyone
DUET: Distilled LLM Unlearning from an Efficiently Contextualized Teacher
Yisheng Zhong, Zhengbang Yang, Zhuangdi Zhu
- ICLR 2026 Poster
- Readers: Everyone
LLM Unlearning via Calibrated and Tokenized Negative Preference Alignment
Zhengbang Yang, Yisheng Zhong, Junyuan Hong, Zhuangdi Zhu
- Submitted to ICLR 2026
- Readers: Everyone
ChatWise: A Strategy-Guided Chatbot for Enhancing Cognitive Support in Older Adults
Zhengbang Yang, Junyuan Hong, Yijiang Pang, Jiayu Zhou, Zhuangdi Zhu
- KDD 2025 Workshop SciSocLLM
- Readers: Everyone
DEFENDING BACKDOOR ATTACKS VIA ROBUSTNESS AGAINST NOISY LABEL
Boyang Liu, Zhuangdi Zhu, Yijiang Pang, Pang-Ning Tan, Jiayu Zhou
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Defending Backdoor Data Poisoning Attacks by Using Noisy Label Defense Algorithm
Boyang Liu, Zhuangdi Zhu, Pang-Ning Tan, Jiayu Zhou
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
Off-Policy Imitation Learning from Observations
Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou
- 2020 (modified: 05 Nov 2022)
- NeurIPS 2020
- Readers: Everyone
Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations
Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou
- 2020 (modified: 05 Nov 2022)
- CoRR 2020
- Readers: Everyone
Transfer Learning in Deep Reinforcement Learning: A Survey
Zhuangdi Zhu, Kaixiang Lin, Jiayu Zhou
- 2020 (modified: 05 Nov 2022)
- CoRR 2020
- Readers: Everyone

View all 14 publications

Co-Authors

View all 30 co-authors