Yuchu Fang

According to our database, Yuchu Fang authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CrowdNet: Adaptive Collaborative Inference for Dynamic Mobile Intelligent Service.

Gong Chen, Wenzhong Li, Yuchu Fang, Yi Zhang, Sanglu Lu

IEEE Trans. Mob. Comput., December, 2025

ElasWave: An Elastic-Native System for Scalable Hybrid-Parallel Training.

Xueze Kang, Guangyu Xiang, Yuxin Wang, Hao Zhang, Yuchu Fang, Yuhang Zhou, Zhenheng Tang, Youhui Lv, Eliran Maman, Mark Wasserman, Alon Zameret, Zhipeng Bian, Shushu Chen, Zhiyou Yu, Jin Wang, Xiaoyu Wu, Yang Zheng, Chen Tian, Xiaowen Chu

CoRR, October, 2025

Pushing to the Limit: An Attention-Based Dual-Prune Approach for Highly-Compacted CNN Filter Pruning.

Yuchu Fang, Wenzhong Li, Yao Zeng, Qingning Lu, Sanglu Lu

J. Comput. Sci. Technol., May, 2025

BurstGPT: A Real-World Workload Dataset to Optimize LLM Serving Systems.

Yuxin Wang, Yuhan Chen, Zeyu Li, Xueze Kang, Yuchu Fang, Yeju Zhou, Yang Zheng, Zhenheng Tang, Xin He, Rui Guo, Xin Wang, Qiang Wang, Amelie Chi Zhou, Xiaowen Chu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2023

PatchNAS: Repairing DNNs in Deployment with Patched Network Architecture Search.

Yuchu Fang, Wenzhong Li, Yao Zeng, Yang Zheng, Zheng Hu, Sanglu Lu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Iterative Deep Model Compression and Acceleration in the Frequency Domain.

Yao Zeng, Xusheng Liu, Lintan Sun, Wenzhong Li, Yuchu Fang, Sanglu Lu

Proceedings of the Asian Conference on Machine Learning, 2021

2020

FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression.

Yuchu Fang, Wenzhong Li, Yao Zeng, Sanglu Lu

Proceedings of The 12th Asian Conference on Machine Learning, 2020