Chunyu Hu

Norfolk, VA, USA

chu034@odu.edu

I am currently pursuing my Ph.D. in Computer Science at Old Dominion University. My academic journey began at Harbin University of Science and Technology, where I earned my Bachelor’s degree in 2017, followed by a Master’s degree in 2021.

My research interests lie at the intersection of AI for Science, particularly in physics, and the exploration of Large Language Models (LLMs) integrated with symbolic regression. Under the guidance of Dr. Yaohang Li, I am dedicated to tackling the challenges and developing innovative solutions that leverage AI to advance scientific discovery and problem-solving in physics and beyond.

Previously, my research focused on security and robustness of efficient AI models, including adversarial attacks, backdoor attacks, and weight-perturbation attacks on neural networks.

Outside of research, I am a Broadway musical enthusiast — I enjoy catching shows both on campus and in New York City. I also love fitness training and outdoor activities.

news

Mar 01, 2026	Served as a Computer Science Judge at the Tidewater Science and Engineering Fair (TSEF) 2026.
Jan 01, 2026	Serving as a Reviewer for the International Conference on Networking and Computing (ICNC) 2026.
Oct 01, 2025	Paper accepted at IEEE MILCOM 2025: “Contrastive Multi-Hop Semantic Communication” presented in Los Angeles, CA.
Sep 01, 2025	Joined Dr. Yaohang Li’s research group to work on AI for Science, focusing on symbolic regression for scientific discovery.

selected publications

MILCOM

Contrastive Multi-Hop Semantic Communication

Yao Wang, Chunyu Hu, Jian Li, and 3 more authors

In MILCOM 2025 – 2025 IEEE Military Communications Conference (MILCOM), 2025

DOI Bib

@inproceedings{wang2025contrastive,
  title = {Contrastive Multi-Hop Semantic Communication},
  author = {Wang, Yao and Hu, Chunyu and Li, Jian and Ning, Rui and Li, Lusi and Takabi, Daniel},
  booktitle = {MILCOM 2025 -- 2025 IEEE Military Communications Conference (MILCOM)},
  pages = {1353--1358},
  year = {2025},
  doi = {10.1109/MILCOM64451.2025.11310730},
  keywords = {Visualization, Accuracy, Noise, Spread spectrum communication, Contrastive learning, Semantic communication, Distortion, Data augmentation, Robustness, Image reconstruction, Multi-hop semantic communication, accumulated noise, dual-level contrastive learning, semantic consistency enforcement},
}

OET

Airplane Detection in Remote Sensing Image Based on Convolutional Neural Network

Yide Zhang, Changyu Hu, and Chunyu Hu

Optoelectronic Technology, 2017

Bib

@article{zhang2017airplane,
  title = {Airplane Detection in Remote Sensing Image Based on Convolutional Neural Network},
  author = {Zhang, Yide and Hu, Changyu and Hu, Chunyu},
  journal = {Optoelectronic Technology},
  volume = {37},
  pages = {66--71},
  year = {2017},
}