Hi!

I am Zihao Xu (徐 子昊), a fourth-year PhD candidate in the Computer Science program at Rutgers University. My advisor is Professor Hao Wang, and my research focuses on Bayesian Deep Learning and Domain Adaptation. Recently, I focus on the model generalization for Large Language Models (LLM). I received my undergraduate degree in Computer Science from Shanghai Jiaotong University, a top-ranked university in China. During my time there, I was also a member of the ACM Honors Class, a prestigious program for the top 5% of Computer Science students at the university. Notable alumni of the program include Tianqi Chen (Assistant Professor at Carnegie Mellon University), Mu Li (former Senior Principal Scientist at Amazon), and Bo Li (Assistant Professor at Harvard Medical School).

News


Selected Publications

“*” indicates equal contribution.

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Towards a Generalized Bayesian Model of Reconstructive Memory: A Generalized Model of Reconstructive Memory

Zihao Xu, Pernille Hemmer, Qiong Zhang
Computational Brain & Behavior
[paper] [slides]

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Taxonomy-Structured Domain Adaptation

Tianyi Liu* , Zihao Xu*, Hao He, Guang-Yuan Hao, Hao Wang
International Conference on Machine Learning (ICML) 2023
[paper] [code (and data)] [talk] [slides]

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Domain-Indexing Variational Bayes for Domain Adaptation

Zihao Xu* , Guang-Yuan Hao*, Hao He, Hao Wang.
(Spotlight) International Conference on Learning Representations (ICLR) 2023
[paper] [code (and data)] [talk] [slides]

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Graph-Relational Domain Adaptation

Zihao Xu, Hao he, Guang-He Lee, Yuyang Wang, Hao Wang
International Conference on Learning Representations (ICLR) 2022
[paper] [code (and data)] [talk] [slides] [website]