Xuandong Zhao

E-mail: csxuandongzhao at gmail
Address: Goleta, CA 93106, USA

GitHub  /  LinkedIn  /  Twitter  /  Google Scholar


I am a final-year CS Ph.D. student at UC Santa Barbara, advised by Prof. Yu-Xiang Wang and Prof. Lei Li. Previously, I graduated from the Department of Computer Science, Zhejiang University. During my undergrad, I was fortunate to work with Prof. Xi Li, Quanzheng Li, and Xiang Li. I also did internships in Alibaba DAMO Academy, Microsoft MSAI and Google Privacy Research. Currently, I am interested in Machine Learning and Natural Language Processing, with a particular focus on Responsible and Trustworthy Generative AI.

I am always open to collaborations. If you share similar interests or see potential synergies, please feel free to email me.

I am on the job market this year. I would be happy to discuss any opportunities that may be a good fit.


Watermarking for Large Language Model
Xuandong Zhao, Yu-Xiang Wang, Lei Li
Tutorials of ACL 2024

Invisible Image Watermarks Are Provably Removable Using Generative AI
Xuandong Zhao*, Kexun Zhang*, Zihao Su, Saastha Vasan, Ilya Grishchenko, Christopher Kruegel, Giovanni Vigna, Yu-Xiang Wang, Lei Li
ICML 2023 Workshop on Challenges in Deploying Generative AI
[Paper] [Code] [Video] [Media]

Provable Robust Watermarking for AI-Generated Text
Xuandong Zhao, Prabhanjan Ananth, Lei Li, Yu-Xiang Wang
ICML 2023 Workshop on Challenges in Deploying Generative AI
[Paper] [Code] [Video] [Demo]

A Survey on Detection of LLMs-Generated Content
Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda Petzold, William Yang Wang, Wei Cheng
arXiv, 2023
[Paper] [Code]

Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Renyi Filter
Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang
Proceedings of UAI 2023, Spotlight
[Paper] [Code]

Protecting Language Generation Models via Invisible Watermarking
Xuandong Zhao, Yu-Xiang Wang, Lei Li
Proceedings of ICML 2023
[Paper] [Code]

Pre-trained Language Models Can be Fully Zero-Shot Learners
Xuandong Zhao, Siqi Ouyang, Zhiguo Yu, Ming Wu, Lei Li
Proceedings of ACL 2023, Oral
[Paper] [Code] [Video] [Slides]

Distillation-Resistant Watermarking for Model Protection in NLP
Xuandong Zhao, Lei Li, Yu-Xiang Wang
Findings of EMNLP 2022
[Paper] [Code] [Video] [Blog]

Provably Confidential Language Modelling
Xuandong Zhao, Lei Li, Yu-Xiang Wang
Proceedings of NAACL 2022, Oral
[Paper] [Code] [Video]

Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation
Xuandong Zhao, Zhiguo Yu, Ming Wu, Lei Li
Findings of ACL 2022
[Paper] [Code] [Video] [Poster]

An Optimal Reduction of TV-Denoising to Adaptive Online Learning
Dheeraj Baby, Xuandong Zhao, Yu-Xiang Wang
Proceedings of AISTATS 2021
[Paper] [Code]

A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning
Xuandong Zhao, Jinbao Xue, Jin Yu, Xi Li, Hongxia Yang
arXiv, 2020
[Paper] [Code]

Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging
Jiaming Guo*, Wei Qiu*, Xiang Li*, Xuandong Zhao, Ning Guo, Quanzheng Li
Proceedings of Big Data 2019
[Paper] [Code]

Multi-size Computer-aided Diagnosis of Positron Emission Tomography Images Using Graph Convolutional Networks
Xuandong Zhao*, Xiang Li*, Ning Guo, Zhiling Zhou, Xiaxia Meng, Quanzheng Li
Proceedings of ISBI 2019
[Paper] [Code]


UC Santa Barbara, USA

Ph.D. student in Computer Science • Sept. 2019 - now

Zhejiang University, China

B.E. in Computer Science • Sept. 2015 - June 2019, GPA: 3.96/4.00

Selected Honors & Awards

Chancellor's Fellowship, UC Santa Barbara, 2019, 2021, 2023

He Zhijun Scholarship (Highest honor in ZJU CS department), 2019

Alibaba-Zhejiang News Scholarship, 2018

National Scholarship (Top 0.2% Nationwide), 2016

First Prize in Chinese Physics Olympiad (CPhO; Top 0.1% in Shanxi Province, China), 2014

Selected Recent Talks

Last update: Dec 2023