News
2 Jan 2025
Thrilled to get the Amazon Machine Learning System Fellowship !
1 Sept 2024
Thrilled to start Ph.D journal at UMN !
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Xinnan Zhang
Department of Electrical and Computer Engineering
117 Pleasant St. S.E. Minneapolis MN 55455
Email: zhan9359@umn.edu
[CV] [Github] [Google Scholar]
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I am a first-year Ph.D. student @ University of Minnesota, Twin Cities since Sep 2024, supervised by Prof. Mingyi Hong.
I obtained B.Eng in Artificial Intelligence and Electronic and Information Engineering in the University of Science and Technology of China.
I was affiliated with the School of the Gifted Young, which originates from the first undegraduate program for special young talents in China.
My research interests include RLHF and Large Language Models (LLM). Previously I actively researched in the field of parameter estimation in signal processing.
Publications
AI4S stands for AI for Science. LLM stands for Large Language Model. SP stands for Signal Processing.
* indicates equal contributions
| LLM | Aligning Frozen LLMs by Reinforcement Learning: An Iterative Reweight-then-Optimize Approach
Xinnan Zhang, Chenliang Li, Siliang Zeng, Jiaxiang Li, Zhongruo Wang, Kaixiang Lin, Songtao Lu, Alfredo Garcia, Mingyi Hong In submission |
| LLM | Reinforcement Learning in Inference Time: A Perspective from Successive Policy Iterations
Xinnan Zhang, Chenliang Li, Siliang Zeng, Jiaxiang Li, Zhongruo Wang, Songtao Lu, Alfredo Garcia, Mingyi Hong Workshop on Reasoning and Planning for Large Language Models at ICLR 2025 |
| LLM | Llm alignment through successive policy re-weighting
Xinnan Zhang, Siliang Zeng, Jiaxiang Li, Kaixiang Lin, Mingyi Hong NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning: Principles and Scalability |
| The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs
Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang KDD-24 |
| AI4S | Benchmark on Drug Target Interaction Modeling from a Structure Perspective
Xinnan Zhang, Jialin Wu, Junyi Xie, Tianlong Chen, Kaixiong Zhou Preprint |
| SP | CRB analysis for mixed-ADC based DOA estimation
Xinnan Zhang, Yuanbo Cheng, Xiaolei Shang, Jun Liu IEEE Transactions on Signal Processing (TSP) |
| SP | A Novel Mixed-ADC Architecture for DOA Estimation
Xinnan Zhang, Yuanbo Cheng, Hing Cheung So, Jian Li IEEE Signal Processing Letters (SPL) |
| SP | Mixed-Precision Arrangement via CRB for DOA Estimation Using SLA
Xinnan Zhang, Yuanbo Cheng, Xiaolei Shang, Jun Liu 2023 31st European Signal Processing Conference (EUSIPCO-23) |
| SP | Optimal Mixed-ADC arrangement for DOA Estimation via CRB using ULA
Xinnan Zhang, Yuanbo Cheng, Xiaolei Shang, Jun Liu IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-23) |
Presentation
| Mixed-Precision Arrangement via CRB for DOA Estimation Using SLA - EUSIPCO 2023 (Oral) |
| Optimal Mixed-ADC arrangement for DOA Estimation via CRB using ULA - ICASSP 2023 (Poster) |
Education
| The University of Minnesota, Twin Cities Ph.D student in Electronic Engineering Sep 2024 - Minnesota, USA Advisor: Prof. Mingyi Hong |
| University of Science and Technology of China Master student in Electronic Engineering Sep 2021 - June 2024, Hefei, Anhui, China |
| University of Science and Technology of China B.Eng. in Electronic & Information Engineering and Artificial Intelligence Sep 2017 - June 2021, Hefei, Anhui, China |
Selected Awards
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Amazon Machine Learning System Fellowship, 2025 Neural Network Intelligence (NNI) by MSRA, Outstanding Project 2020 |
Activities
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Teaching Assistant • Signals and System 2021 @USTC • Numerical Methods B 2020 @USTC • Mathematical equation B 2019 @USTC |