Ph.D. Student
School of Computer Science and Technology
Huazhong University of Science and Technology
Wuhan, China
Email: deadfffool@hust.edu.cn
GitHub | Google Scholar | DBLP | ORCID
Huazhong University of Science and Technology, Wuhan, China
Ph.D. in Computer Science and Technology, 2025 – Present
Research interests: AI infrastructure, Storage for AI.
Huazhong University of Science and Technology, Wuhan, China
B.S. in Computer Science and Technology, 2021 – 2025
Chenxuan Yao, F. Liu, Y. Hu, Z. Liu, X. Zheng, W. Zhou.
LowDiff: Efficient Frequent Checkpointing via Low-Cost Differential for High-Performance Distributed Training Systems.
SC, 2025.
L. Wang, Y. Hu, Z. Duan, M. Li, Chenxuan Yao, et al.
SpotCC: Facilitating Coded Computation for Prediction Serving Systems on Spot Instances.
HPCA, 2026.
F. Liu, Y. Hu, M. Li, L. Wang, Chenxuan Yao, Z. Yu, D. Feng.
Erasure-Coded Prefix KV Cache for Optimizing Load Balancing in Large Language Model Serving.
DAC, 2026.
M. Li, Y. Hu, L. Wang, Chenxuan Yao, P. C. Lee, D. Feng.
COAR: Computation-Aware Erasure-Coded Repair in Storage Clusters for Distributed Data Analytics.
ICDCS, 2026.
X. Zheng, Y. Hu, Z. Ming, Chenxuan Yao, W. Zhou, et al.
Saving Memory via Residual Reduction for DNN Training with Compressed Communication.
Euro-Par, 2025.
Z. Ming, Y. Hu, W. Zhou, X. Zheng, Chenxuan Yao, D. Feng.
ADTopk: All-Dimension Top-k Compression for High-Performance Data-Parallel DNN Training.
HPDC, 2024.
X. Han, A. Liu, Chenxuan Yao, Y. Fan, K. He.
Sampling-based fast gradient rescaling method for highly transferable adversarial attacks.
arXiv, 2023.