MobiPose: real-time multi-person pose estimation on mobile devices. - Jinrui Zhang; Deyu Zhang; Xiaohui Xu; Fucheng Jia; Yunxin Liu 001; Xuanzhe Liu; Ju Ren 001; Yaoxue Zhang (SenSys, 2020)

CoDL: efficient CPU-GPU co-execution for deep learning inference on mobile devices. - Fucheng Jia; Deyu Zhang; Ting Cao; Shiqi Jiang; Yunxin Liu 001; Ju Ren 001; Yaoxue Zhang (MobiSys, 2022)

Deep action: A mobile action recognition framework using edge offloading. - Deyu Zhang; Heguo Zhang; Sijing Duan; Yunzhen Luo; Fucheng Jia; Feng Liu (Peer-to-Peer Netw. Appl., 2022)

Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations. - Fucheng Jia; Shiqi Jiang; Ting Cao; Wei Cui; Tianrui Xia; Xu Cao; Yuanchun Li; Deyu Zhang; Ju Ren 001; Yunxin Liu 001; Lili Qiu; Mao Yang 004 (CoRR, 2023)

MVPose: Realtime Multi-Person Pose Estimation Using Motion Vector on Mobile Devices. - Jinrui Zhang; Deyu Zhang; Huan Yang; Yunxin Liu 001; Ju Ren 001; Xiaohui Xu; Fucheng Jia; Yaoxue Zhang (IEEE Trans. Mob. Comput., 2023)

Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization. - Fucheng Jia; Shiqi Jiang; Ting Cao; Wei Cui; Tianrui Xia; Xu Cao; Yuanchun Li; Qipeng Wang; Deyu Zhang; Ju Ren 001; Yunxin Liu 001; Lili Qiu; et al. (MobiSys, 2024)

Scaling Up On-Device LLMs via Active-Weight Swapping Between DRAM and Flash. - Fucheng Jia; Zewen Wu; Shiqi Jiang; Huiqiang Jiang; Qianxi Zhang; Yuqing Yang 001; Yunxin Liu 001; Ju Ren 001; Deyu Zhang; Ting Cao (CoRR, 2025)