Ph.D student
Department of Computer Science and Technology, Tsinghua University
lrw21 [AT] tsinghua [DOT] edu [DOT] cn
I am currently a third-year Ph.D's student in the Department of Computer Science and Technology at Tsinghua University, advised by Prof. Zhi Wang. My research interests are to accelerating machine learning training from communication and computation.
I was a research intern in the System and Networking Research Group at Microsoft Research Asia. I have served as a reviewer for ACM Multimedia, and NeurIPS.
[2024/11] One paper got accepted to IEEE TMC.
[2023/04] One paper got accepted to INFOCOM 2023.
Data-Aware Gradient Compression for FL in Communication-Constrained Mobile Computing
Rongwei Lu,Yutong Jiang, Yinan Mao, Chen Tang, Bin Chen, Laizhong Cui and Zhi Wang
[IEEE TMC] IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2024.3504284
[DOI]
[Code]
RFQuant: Retraining-free Model Quantization via One-Shot Weight-Coupling Learning
Chen Tang*, Yuan Meng*, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu
Zhu
[CVPR'24] IEEE Conference on Computer Vision and Pattern Recognition, 2024
[PDF]
[Supp]
[Poster]
[Code]
DAGC: Data-aware Adaptive Gradient Compression
Rongwei Lu, Jiajun Song, Bin Chen, Laizhong Cui and Zhi Wang
[INFOCOM'23] IEEE International Conference on Computer Communications, New York City, NY, USA, 2023, doi: 10.1109/INFOCOM53939.2023.10229053.
[DOI]
First Prize of Faculty General Excellence Scholarship At SIGS, Tsinghua University, 2023
Star of Tomorrow Excellent Internship Award, Microsoft Research Asia, 2023
Code from Han Hu