Zhuohang Li

Research Scientist, Google DeepMind

Joined

November 2022

Names

Zhuohang Li (Preferred)

Emails

****@vols.utk.edu (Confirmed)

****@vanderbilt.edu (Confirmed)

****@nec-labs.com

****@merl.com

****@amazom.com

****@google.com (Confirmed)

Personal Links

Career & Education History

Research Scientist

Google DeepMind (google.com)

Present

Advisors, Relations & Conflicts

PhD Advisor

Bradley Malin

Present

Expertise

privacy

safety

and reliability in machine learning

Present

Publications

Judging with Confidence: Calibrating Autoraters to Preference Distributions
Zhuohang Li, Xiaowei Li, Chengyu Huang, Guowang Li, Katayoon Goshvadi, Bo Dai, Dale Schuurmans, Xin Zhou, Hamid Palangi, Yiwen Song, Palash Goyal, Murat Kantarcioglu, Bradley A. Malin, Yuan Xue
- Submitted to ICLR 2026
- Readers: Everyone
What Really is a Member? Discrediting Membership Inference via Poisoning
Neal Mangaokar, Ashish Hooda, Zhuohang Li, Bradley A. Malin, Kassem Fawaz, Somesh Jha, Atul Prakash, Amrita Roy Chowdhury
- NeurIPS 2025 poster
- Readers: Everyone
PhaseEvo: Towards Unified Long-Context Prompt Optimization for Large Language Models
Wendi Cui, Jiaxin Zhang, Zhuohang Li, Hao Sun, Damien Lopez, Kamalika Das, Bradley A. Malin, Sricharan Kumar
- LCFM 2024
- Readers: Everyone
Exploring User-level Gradient Inversion with a Diffusion Prior
Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Bradley Malin, Kieran Parsons, Ye Wang
- CoRR 2024
- Readers: Everyone
Transferable Learned Image Compression-Resistant Adversarial Perturbations
Yang Sui, Zhuohang Li, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Zhenzhong Chen
- CoRR 2024
- Readers: Everyone
Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?
Andrew Lowy, Zhuohang Li, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang
- CoRR 2024
- Readers: Everyone
Analyzing Inference Privacy Risks Through Gradients in Machine Learning
Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Bradley Malin, Ye Wang
- CoRR 2024
- Readers: Everyone
DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models
Wendi Cui, Jiaxin Zhang, Zhuohang Li, Damien Lopez, Kamalika Das, Bradley A. Malin, Kumar Sricharan
- CoRR 2024
- Readers: Everyone
PhaseEvo: Towards Unified In-Context Prompt Optimization for Large Language Models
Wendi Cui, Jiaxin Zhang, Zhuohang Li, Hao Sun, Damien Lopez, Kamalika Das, Bradley A. Malin, Kumar Sricharan
- CoRR 2024
- Readers: Everyone

View all 34 publications

Co-Authors

View all 56 co-authors