Wenxiang Lin

According to our database, Wenxiang Lin authored at least 19 papers between 2020 and 2026.

Collaborative distances:

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

2026

AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs.

Wenxiang Lin, Juntao Huang, Luhan Zhang, Laili Li, Xiang Bao, Mengyang Zhang, Bing Wang, Shaohuai Shi

CoRR, May, 2026

ZipCCL: Efficient Lossless Data Compression of Communication Collectives for Accelerating LLM Training.

Wenxiang Lin, Xinglin Pan, Ruibo Fan, Shaohuai Shi, Xiaowen Chu

CoRR, April, 2026

K-TCDP: A Temporal Correlated DP Mechanism for LoRA Supervised Fine-Tuning.

Kai Zhang, Wenxiang Lin, Yuxuan Xu, Pei-Wei Tsai, Chaoqun Hong, Xin Yuan, Minhui Xue

IEEE Trans. Inf. Forensics Secur., 2026

CoLOR-DP: Conjugate Low-Rank Differential Privacy for Structure-Aware LoRA Fine-Tuning.

Kai Zhang, Yuxuan Xu, Wenxiang Lin, Chaoqun Hong, Pei-Wei Tsai, Xin Yuan, Minhui Xue

Proceedings of the ACM Web Conference 2026, 2026

2025

Efficient MoE Inference with Fine-Grained Scheduling of Disaggregated Expert Parallelism.

Xinglin Pan, Shaohuai Shi, Wenxiang Lin, Yuxin Wang, Zhenheng Tang, Wei Wang, Xiaowen Chu

CoRR, December, 2025

HierMoE: Accelerating MoE Training with Hierarchical Token Deduplication and Expert Swap.

Wenxiang Lin, Xinglin Pan, Lin Zhang, Shaohuai Shi, Xuan Wang, Xiaowen Chu

CoRR, August, 2025

SP-MoE: Expediting Mixture-of-Experts Training with Optimized Pipelining Planning.

Ne Wang, Wenxiang Lin, Lin Zhang, Shaohuai Shi, Ruiting Zhou, Bo Li

Proceedings of the IEEE INFOCOM 2025, 2025

Mitigating Contention in Stream Multiprocessors for Pipelined Mixture of Experts: An SM-Aware Scheduling Approach.

Xinglin Pan, Rui Wang, Wenxiang Lin, Shaohuai Shi, Xiaowen Chu

Proceedings of the 45th IEEE International Conference on Distributed Computing Systems, 2025

Mast: Efficient Training of Mixture-of-Experts Transformers with Task Pipelining and Ordering.

Wenxiang Lin, Xinglin Pan, Shaohuai Shi, Xuan Wang, Bo Li, Xiaowen Chu

Proceedings of the 45th IEEE International Conference on Distributed Computing Systems, 2025

ScheInfer: Efficient Inference of Large Language Models with Task Scheduling on Moderate GPUs.

Wenxiang Lin, Xinglin Pan, Shaohuai Shi, Xuan Wang, Xiaowen Chu

Proceedings of the Euro-Par 2025: Parallel Processing, 2025

FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models.

Xinglin Pan, Wenxiang Lin, Lin Zhang, Shaohuai Shi, Zhenheng Tang, Rui Wang, Bo Li, Xiaowen Chu

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

Task Scheduling for Efficient Inference of Large Language Models on Single Moderate GPU Systems.

Wenxiang Lin, Xinglin Pan, Shaohuai Shi, Xuan Wang, Xiaowen Chu

CoRR, 2024

Parm: Efficient Training of Large Sparsely-Activated Models with Dedicated Schedules.

Xinglin Pan, Wenxiang Lin, Shaohuai Shi, Xiaowen Chu, Weinong Sun, Bo Li

Proceedings of the IEEE INFOCOM 2024, 2024

2022

SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object Tracking.

Jiaxin Li, Yan Ding, Hua-Liang Wei, Yutong Zhang, Wenxiang Lin

Sensors, 2022

AFINet: Attentive Feature Integration Networks for image classification.

Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Hongguang Fu, Zenglin Xu

Neural Networks, 2022

2021

AFINet: Attentive Feature Integration Networks for Image Classification.

Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Zenglin Xu

CoRR, 2021

ECascade-RCNN: Enhanced Cascade RCNN for Multi-scale Object Detection in UAV Images.

Qizhang Lin, Yan Ding, Hong Xu, Wenxiang Lin, Jiaxin Li, Xiaoxiao Xie

Proceedings of the 7th International Conference on Automation, Robotics and Applications, 2021

2020

LdsConv: Learned Depthwise Separable Convolutions by Group Pruning.

Wenxiang Lin, Yan Ding, Hua-Liang Wei, Xinglin Pan, Yutong Zhang

Sensors, 2020

VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results.

Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joo Chan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020