Xuandong Zhao

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

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I am a 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 and Microsoft Search, Assistant and Intelligence.

Now, I am interested in Machine Learning and Natural Language Processing.


Provable Robust Watermarking for AI-Generated Text
Xuandong Zhao, Prabhanjan Ananth, Lei Li, Yu-Xiang Wang
In Submission

Generative Autoencoders as Watermark Attackers: Analyses of Vulnerabilities and Threats
Xuandong Zhao*, Kexun Zhang*, Yu-Xiang Wang, Lei Li
In Submission

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, Oral

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

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]

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

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

Last update: May 2023