Yuxin Wang

According to our database, Yuxin Wang authored at least 24 papers between 2019 and 2025.

Collaborative distances:

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

2025

Reasoning Language Model Inference Serving Unveiled: An Empirical Study.

Qi Li, Junpan Wu, Xiang Liu, Yuxin Wang, Zeyu Li, Zhenheng Tang, Yuhan Chen, Shaohuai Shi, Xiaowen Chu

CoRR, October, 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

DreamDDP: Accelerating Data Parallel Distributed LLM Training with Layer-wise Scheduled Partial Synchronization.

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

CoRR, February, 2025

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

Peering the Edge: Enabling Low-Latency Interdomain Edge Communication via Collaborative Transmission.

Yuxin Wang, Haoyu Liu, Haohao Song, Siyong Huang, Shaoxiang Qin, Yutong Liu, Qiao Xiang, Linghe Kong, Geng Li, Jiwu Shu, Xue Liu

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 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

Beyond a Centralized Verifier: Scaling Data Plane Checking via Distributed, On-Device Verification.

Qiao Xiang, Chenyang Huang, Ridi Wen, Yuxin Wang, Xiwen Fan, Zaoxing Liu, Linghe Kong, Dennis Duan, Franck Le, Wei Sun

Proceedings of the ACM SIGCOMM 2023 Conference, 2023

More Than Capacity: Performance-oriented Evolution of Pangu in Alibaba.

Qiang Li, Qiao Xiang, Yuxin Wang, Haohao Song, Ridi Wen, Wenhui Yao, Yuanyuan Dong, Shuqi Zhao, Shuo Huang, Zhaosheng Zhu, Huayong Wang, Shanyang Liu, Lulu Chen, Zhiwu Wu, Haonan Qiu, Derui Liu, Gexiao Tian, Chao Han, Shaozong Liu, Yaohui Wu, Zicheng Luo, Yuchao Shao, Junping Wu, Zheng Cao, Zhongjie Wu, Jiaji Zhu, Jinbo Wu, Jiwu Shu, Jiesheng Wu

Proceedings of the 21st USENIX Conference on File and Storage Technologies, 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

Lamda: The Last Mile of the Datacenter Network Does matter.

Qiang Li, Qiao Xiang, Derui Liu, Yuxin Wang, Haonan Qiu, Gexiao Tian, Xiaoliang Wang, Lulu Chen, Ridi Wen, Jianbo Dong, Yuanyuan Gong, Yixiao Gao, Haohao Song, Zhiwu Wu, Shaozong Liu, Zicheng Luo, Yuchao Shao, Yaohui Wu, Chao Han, Chen Tian, Zhongjie Wu, Zheng Cao, Jinbo Wu, Jiwu Shu, Jiesheng Wu

CoRR, 2022

Toward low-latency end-to-end communication in 5G using interdomain edge peering.

Yuxin Wang, Qiao Xiang, Jiwu Shu, Geng Li, Linghe Kong

Proceedings of the NAI '22: Proceedings of the ACM SIGCOMM Workshop on Network-Application Integration, 2022

Network can check itself: scaling data plane checking via distributed, on-device verification.

Qiao Xiang, Ridi Wen, Chenyang Huang, Yuxin Wang, Franck Le

Proceedings of the 21st ACM Workshop on Hot Topics in Networks, 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