I am a second-year Ph.D. student major in Computer Engineering at the University of Southern California (USC), advised by Prof. Paul Bogdan. I received my B.E. in Communications from the School of Electronic Information and Communications, Huazhong University of Science and Technology (HUST), in 2024.
My research interest lies in the intersection of Machine Learning, Systems, and Large Language Models. Specifically, I aim to improve the reliability and efficiency of intelligent systems by leveraging graph-based learning, physics-informed modeling, and scalable algorithm design. I am always open to potential collaborations, please feel free to reach out.
📚 Educations
2024.08 - current Ph.D in Computer Engineering, University of Southern California.
2020.08 - 2024.06 B.E. in Communications from the School of Electronic Information and Communications, Huazhong University of Science and Technology (HUST).
💻 Experiences
- 2025.08 - current, Research Assistant, University of Southern California.
- 2023.05 - 2024.01, Machine Learning Research Intern at Baidu Research, Beijing, China
- 2023.01 - 2024.02, Visiting Student, Tsinghua University.
📑 Publications
A structure-aware framework for learning device placements on computation graphs, Shukai Duan*, Heng Ping*, Nikos Kanakaris*, Xiongye Xiao*, Panagiotis Kyriakis*, Nesreen K Ahmed, Peiyu Zhang, Guixiang Ma, Mihai Capotă, Shahin Nazarian, Theodore L Willke, Paul Bogdan Advances in Neural Information Processing Systems (NeurIPS 2024), pp. 81748–81772.
Hdlcore: A training-free framework for mitigating hallucinations in LLM-generated HDL, Heng Ping*, Shixuan Li*, Peiyu Zhang*, Anzhe Cheng*, Shukai Duan*, Nikos Kanakaris, Xiongye Xiao, Wei Yang, Shahin Nazarian, Andrei Irimia, Paul Bogdan, IEEE LAD 2025.
Topology-aware Tensor Decomposition for Meta-graph Learning, Hansi Yang, Peiyu Zhang, Quanming Yao, arXiv preprint arXiv:2101.01078, 2023.
Climatellm: Efficient weather forecasting via frequency-aware large language models, Shixuan Li*, Wei Yang*, Peiyu Zhang, Xiongye Xiao, Defu Cao, Yuehan Qin, Xiaole Zhang, Yue Zhao, Paul Bogdan, arXiv preprint arXiv:2502.11059, 2025. (under review)
H²GFM: Towards unifying Homogeneity and Heterogeneity on Text-Attributed Graphs, Trung-Kien Nguyen, Heng Ping, Shixuan Li, Peiyu Zhang, Nikos Kanakaris, Nicholas Kotov, Paul Bogdan, arXiv preprint arXiv:2506.08298, 2025. (under review)
End-to-End Learning Framework for Solving Non-Markovian Optimal Control, Xiaole Zhang*, Peiyu Zhang*, Xiongye Xiao*, Shixuan Li, Vasileios Tzoumas, Vijay Gupta, Paul Bogdan, ICML 2025.
😊 Honors and Awards
- Annenberg Graduate Fellowship, 2024
- Outstanding Undergraduate Graduates, 2024