Biography

I am currently a Ph.D. student supervised by Prof. Dapeng Oliver Wu in City University of Hong Kong. I obtained my Master degree in Electrical and Computer Engineering from the University of Florida, advised by Prof. Dapeng Oliver Wu and Prof. Ruogu Fang. I obtained my Bachelor Degree in Computer Science from Shanghai Jiao Tong University.

My resume is avaliable at here

Research Interests

Model Compression, Efficient On-device ML, Federated Learning, Deep Learning

Publications

• Hong Huang, Dapeng Wu “Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis.” The Annual Meeting of the Association for Computational Linguistics (ACL), 2025.
• Hong Huang, Weiming Zhuang, Chen Chen, and Lingjuan Lyu. “FedMef: Towards Memory-efficient Federated Dynamic Pruning.” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
• Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, and Dapeng Wu. “Distributed Pruning Towards Tiny Neural Networks in Federated Learning.” IEEE 43rd International Conference on Distributed Computing Systems (ICDCS), 2023.