Heterogeneity-Aware Federated Learning. - Chengxu Yang; Qipeng Wang 001; Mengwei Xu 001; Shangguang Wang; Kaigui Bian; Xuanzhe Liu (CoRR, 2020)

Towards Ubiquitous Learning: A First Measurement of On-Device Training Performance. - Dongqi Cai 001; Qipeng Wang 001; Yuanqiang Liu; Yunxin Liu 001; Shangguang Wang; Mengwei Xu 001 (EMDL@MobiSys, 2021)

Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data. - Chengxu Yang; Qipeng Wang 001; Mengwei Xu 001; Zhenpeng Chen 001; Kaigui Bian; Yunxin Liu 001; Xuanzhe Liu (WWW, 2021)

Mandheling: mixed-precision on-device DNN training with DSP offloading. - Daliang Xu; Mengwei Xu 001; Qipeng Wang 001; Shangguang Wang; Yun Ma 002; Kang Huang; Gang Huang 001; Xin Jin 008; Xuanzhe Liu (MobiCom, 2022)

Melon: breaking the memory wall for resource-efficient on-device machine learning. - Qipeng Wang 001; Mengwei Xu 001; Chao Jin 007; Xinran Dong; Jinliang Yuan; Xin Jin 008; Gang Huang 001; Yunxin Liu 001; Xuanzhe Liu (MobiSys, 2022)

Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading. - Daliang Xu; Mengwei Xu 001; Qipeng Wang 001; Shangguang Wang; Yun Ma 002; Kang Huang; Guang Huang; Xin Jin 008; Xuanzhe Liu (CoRR, 2022)

Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization. - Fucheng Jia; Shiqi Jiang 002; Ting Cao 003; Wei Cui; Tianrui Xia; Xu Cao; Yuanchun Li 003; Qipeng Wang 001; Deyu Zhang; Ju Ren 001; Yunxin Liu 001; Lili Qiu; et al. (MobiSys, 2024)

A Survey of Resource-efficient LLM and Multimodal Foundation Models. - Mengwei Xu 001; Wangsong Yin; Dongqi Cai 001; Rongjie Yi; Daliang Xu; Qipeng Wang 001; Bingyang Wu; Yihao Zhao; Chen Yang; Shihe Wang; Qiyang Zhang 001; Zhenyan Lu; et al. (CoRR, 2024)

Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance. - Qipeng Wang 001; Shiqi Jiang 002; Zhenpeng Chen 001; Xu Cao; Yuanchun Li 003; Aoyu Li; Ying Zhang 012; Yun Ma 002; Ting Cao 003; Xuanzhe Liu (CoRR, 2024)

FLASH: Heterogeneity-Aware Federated Learning at Scale. - Chengxu Yang; Mengwei Xu 001; Qipeng Wang 001; Zhenpeng Chen 001; Kang Huang; Yun Ma 002; Kaigui Bian; Gang Huang 001; Yunxin Liu 001; Xin Jin 008; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2024)

Anatomizing Deep Learning Inference in Web Browsers. - Qipeng Wang 001; Shiqi Jiang 002; Zhenpeng Chen 001; Xu Cao; Yuanchun Li 003; Aoyu Li; Yun Ma 002; Ting Cao 003; Xuanzhe Liu (ACM Trans. Softw. Eng. Methodol., 2025)

Efficient and Adaptive Diffusion Model Inference Through Lookup Table on Mobile Devices. - Qipeng Wang 001; Shiqi Jiang 002; Yifan Yang 004; Ruiqi Liu 001; Yuanchun Li 003; Ting Cao 003; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2025)