Hi!
I am Zihao Xu (徐子昊), an Applied Scientist at Amazon Web Services (AWS) in San Jose. I received my Ph.D. in Computer Science from Rutgers University, where I was advised by Professor Hao Wang. Currently, I work on code migration using Large Language Models (LLMs) and agentic workflows. My broader research interests span LLMs, domain adaptation, recommendation systems, and Bayesian deep learning. 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
- Jul. 9, 2026: Our paper, Probabilistic Residual Learning for Online Recommendations, is accepted by RecSys 2026.
- May 10, 2026: Our paper, Domain Indexing Collaborative Filtering for Recommender Systems, is accepted by TMLR.
- May 8, 2025: Our survey, Continual Learning of Large Language Models: A Comprehensive Survey, is accepted by ACM Computing Surveys.
- Jan. 22, 2025: Our papers Implicit In-context Learning (code) and GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs are accepted by ICLR 2025.
- Jan. 6, 2025: Our paper, Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation, is accepted by ISBI 2025.
- Nov. 11, 2024: Our paper, Knowledge Graph-Enhanced Retrieval Augmented Generation for E-Commerce, is published at the RAGE-KG workshop at ISWC 2024.
- Sep. 27, 2024: Our paper, Towards a Generalized Bayesian Model of Reconstructive Memory: A Generalized Model of Reconstructive Memory, is published in Computational Brain & Behavior.
- Jun. 30, 2023: Our paper, Taxonomy-Structured Domain Adaptation, is accepted by ICML 2023. Code is released.
- Jan. 21, 2023: Our paper, Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation, is accepted by ICLR 2023 (spotlight). See our code and OpenReview page for more details.
- Feb. 8, 2022: Our paper, Graph-Relational Domain Adaptation, is accepted by ICLR 2022. Code is released here.
Selected Publications
“*” indicates equal contribution.
Probabilistic Residual Learning for Online Recommendations
Wenyuan Wang, Yusong Zhao, Zihao Xu, Hengyi Wang, Qi Xu, Zhigang Hua, Yan Xie, Yi Wang, Zihao Zhao, Bo Long, Chengzhi Mao, Shuang Yang, Hengguan Huang, Hao Wang
ACM Conference on Recommender Systems (RecSys) 2026
Domain Indexing Collaborative Filtering for Recommender Systems
Rohit Amarnath*, Zihao Xu*, Qi Xu, Zhigang Hua, Yan Xie, Shuang Yang, Bo Long, Hao Wang
Transactions on Machine Learning Research (TMLR), 2026
[paper]
Implicit In-context Learning
Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas
International Conference on Learning Representations (ICLR) 2025
[paper] [code (and data)]
GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs
Kalliopi Basioti, Pritish Sahu, Tony Qingze Liu, Zihao Xu, Hao Wang, Vladimir Pavlovic
International Conference on Learning Representations (ICLR) 2025
[paper]
Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation
Xiaoxiao He, Haizhou Shi, Ligong Han, Chaowei Tan, Bo Liu, Zihao Xu, Meng Ye, Leon Axel, Kang Li, Dimitris Metaxas
International Symposium on Biomedical Imaging (ISBI) 2025
[paper]
Continual Learning of Large Language Models: A Comprehensive Survey
Haizhou Shi, Zihao Xu, Hengyi Wang, Weiyi Qin, Wenyuan Wang, Yibin Wang, Hao Wang
ACM Computing Surveys, 2024
[paper]
Knowledge Graph-Enhanced Retrieval Augmented Generation for E-Commerce
Zihao Xu, Petar Ristoski, Qunzhi Zhou
RAGE-KG Workshop at the 23rd International Semantic Web Conference (ISWC) 2024
[paper]
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]
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]
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]