Yuxin Wang

According to our database, Yuxin Wang authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference.

Xin He, Shunkang Zhang, Yuxin Wang, Haiyan Yin, Zihao Zeng, Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Ivor W. Tsang, Yew-Soon Ong

CoRR, 2024

FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression.

Zhenheng Tang, Xueze Kang, Yiming Yin, Xinglin Pan, Yuxin Wang, Xin He, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Amelie Chi Zhou, Bo Li, Bingsheng He, Xiaowen Chu

CoRR, 2024

Towards Efficient and Reliable LLM Serving: A Real-World Workload Study.

Yuxin Wang, Yuhan Chen, Zeyu Li, Zhenheng Tang, Rui Guo, Xin Wang, Qiang Wang, Amelie Chi Zhou, Xiaowen Chu

CoRR, 2024

Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning.

Zichen Tang, Junlin Huang, Rudan Yan, Yuxin Wang, Zhenheng Tang, Shaohuai Shi, Amelie Chi Zhou, Xiaowen Chu

Proceedings of the 53rd International Conference on Parallel Processing, 2024

2023

Reliable and Efficient In-Memory Fault Tolerance of Large Language Model Pretraining.

Yuxin Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Xinglin Pan, Yang Zheng, Xiaoyu Wu, Amelie Chi Zhou, Bingsheng He, Xiaowen Chu

CoRR, 2023

FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs.

Zhenheng Tang, Yuxin Wang, Xin He, Longteng Zhang, Xinglin Pan, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Bingsheng He, Xiaowen Chu

CoRR, 2023

FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training.

Zhenheng Tang, Xiaowen Chu, Ryan Yide Ran, Sunwoo Lee, Shaohuai Shi, Yonggang Zhang, Yuxin Wang, Alex Qiaozhong Liang, Salman Avestimehr, Chaoyang He

CoRR, 2023

NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension.

Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu

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

2022

Energy-Efficient Online Scheduling of Transformer Inference Services on GPU Servers.

Yuxin Wang, Qiang Wang, Xiaowen Chu

IEEE Trans. Green Commun. Netw., 2022

2020

A Survey of Deep Learning Techniques for Neural Machine Translation.

Shuoheng Yang, Yuxin Wang, Xiaowen Chu

CoRR, 2020

Energy-efficient Inference Service of Transformer-based Deep Learning Models on GPUs.

Yuxin Wang, Qiang Wang, Xiaowen Chu

Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training.

Yuxin Wang, Qiang Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Kaiyong Zhao, Xiaowen Chu

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019

A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks.

Shaohuai Shi, Qiang Wang, Kaiyong Zhao, Zhenheng Tang, Yuxin Wang, Xiang Huang, Xiaowen Chu

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

The Impact of GPU DVFS on the Energy and Performance of Deep Learning: an Empirical Study.

Zhenheng Tang, Yuxin Wang, Qiang Wang, Xiaowen Chu

Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models.

Xin He, Xiaoming Liu, Zhili Wu, Wu Yu, Xiaowen Chu, Shihao Wang, Shaohuai Shi, Zhenheng Tang, Yuxin Wang, Zhihao Zhao, Jing Dai, Ronghao Ni, Xiaofeng Zhang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019