Xuandong Zhao
E-mail: csxuandongzhao at gmail
Address: Goleta, CA 93106, USA
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Xuandong Zhao |
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E-mail: csxuandongzhao at gmail |
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| GitHub / LinkedIn / Twitter / Google Scholar |
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.
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Provable Robust Watermarking for AI-Generated Text Xuandong Zhao, Prabhanjan Ananth, Lei Li, Yu-Xiang Wang In Submission |
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Generative Autoencoders as Watermark Attackers: Analyses of Vulnerabilities and Threats Xuandong Zhao*, Kexun Zhang*, Yu-Xiang Wang, Lei Li In Submission |
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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 [Paper] |
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Protecting Language Generation Models via Invisible Watermarking Xuandong Zhao, Yu-Xiang Wang, Lei Li Proceedings of ICML 2023 [Paper] |
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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] |
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Distillation-Resistant Watermarking for Model Protection in NLP Xuandong Zhao, Lei Li, Yu-Xiang Wang Findings of EMNLP 2022 [Paper] [Code] [Video] [Blog] |
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Provably Confidential Language Modelling Xuandong Zhao, Lei Li, Yu-Xiang Wang Proceedings of NAACL 2022, Oral [Paper] [Code] [Video] |
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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] |
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An Optimal Reduction of TV-Denoising to Adaptive Online Learning Dheeraj baby, Xuandong Zhao, Yu-Xiang Wang Proceedings of AISTATS 2021 [Paper] [Code] |
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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] |
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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] |
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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] |
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UC Santa Barbara, USA Ph.D. student in Computer Science • Sept. 2019 - now |
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Zhejiang University, China B.E. in Computer Science • Sept. 2015 - June 2019, GPA: 3.96/4.00 |
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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