VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. - Dawei Du; Longyin Wen; Pengfei Zhu 001; Heng Fan 001; Qinghua Hu; Haibin Ling; Mubarak Shah; Junwen Pan; Apostolos Axenopoulos; Arne Schumann; Athanasios Psaltis; Ayush Jain; et al. (ECCV Workshops (4), 2020)

LdsConv: Learned Depthwise Separable Convolutions by Group Pruning. - Wenxiang Lin; Yan Ding 003; Hua-Liang Wei; Xinglin Pan; Yutong Zhang (Sensors, 2020)

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 (ICARA, 2021)

AFINet: Attentive Feature Integration Networks for Image Classification. - Xinglin Pan; Jing Xu; Yu Pan 005; Liangjian Wen; Wenxiang Lin; Kun Bai; Zenglin Xu (CoRR, 2021)

AFINet: Attentive Feature Integration Networks for image classification. - Xinglin Pan; Jing Xu; Yu Pan 005; Liangjian Wen; Wenxiang Lin; Kun Bai; Hongguang Fu; Zenglin Xu (Neural Networks, 2022)

SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object Tracking. - Jiaxin Li; Yan Ding 003; Hua-Liang Wei; Yutong Zhang; Wenxiang Lin (Sensors, 2022)

Parm: Efficient Training of Large Sparsely-Activated Models with Dedicated Schedules. - Xinglin Pan; Wenxiang Lin; Shaohuai Shi; Xiaowen Chu 001; Weinong Sun; Bo Li 001 (INFOCOM, 2024)

Task Scheduling for Efficient Inference of Large Language Models on Single Moderate GPU Systems. - Wenxiang Lin; Xinglin Pan; Shaohuai Shi; Xuan Wang 002; Xiaowen Chu 001 (CoRR, 2024)

FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models. - Xinglin Pan; Wenxiang Lin; Lin Zhang 059; Shaohuai Shi; Zhenheng Tang; Rui Wang; Bo Li 001; Xiaowen Chu 001 (ASPLOS (1), 2025)

ScheInfer: Efficient Inference of Large Language Models with Task Scheduling on Moderate GPUs. - Wenxiang Lin; Xinglin Pan; Shaohuai Shi; Xuan Wang 002; Xiaowen Chu 001 (Euro-Par (3), 2025)

Mast: Efficient Training of Mixture-of-Experts Transformers with Task Pipelining and Ordering. - Wenxiang Lin; Xinglin Pan; Shaohuai Shi; Xuan Wang 002; Bo Li 001; Xiaowen Chu 001 (ICDCS, 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 001 (ICDCS, 2025)

SP-MoE: Expediting Mixture-of-Experts Training with Optimized Pipelining Planning. - Ne Wang; Wenxiang Lin; Lin Zhang 059; Shaohuai Shi; Ruiting Zhou; Bo Li 001 (INFOCOM, 2025)

HierMoE: Accelerating MoE Training with Hierarchical Token Deduplication and Expert Swap. - Wenxiang Lin; Xinglin Pan; Lin Zhang 059; Shaohuai Shi; Xuan Wang 002; Xiaowen Chu 001 (CoRR, 2025)