Qipeng Wang

According to our database, Qipeng Wang authored at least 12 papers between 2020 and 2025.

Collaborative distances:

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

2025

Efficient and Adaptive Diffusion Model Inference Through Lookup Table on Mobile Devices.

Qipeng Wang, Shiqi Jiang, Yifan Yang, Ruiqi Liu, Yuanchun Li, Ting Cao, Xuanzhe Liu

IEEE Trans. Mob. Comput., September, 2025

Anatomizing Deep Learning Inference in Web Browsers.

Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Yun Ma, Ting Cao, Xuanzhe Liu

ACM Trans. Softw. Eng. Methodol., February, 2025

2024

FLASH: Heterogeneity-Aware Federated Learning at Scale.

Chengxu Yang, Mengwei Xu, Qipeng Wang, Zhenpeng Chen, Kang Huang, Yun Ma, Kaigui Bian, Gang Huang, Yunxin Liu, Xin Jin, Xuanzhe Liu

IEEE Trans. Mob. Comput., January, 2024

Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance.

Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Ying Zhang, Yun Ma, Ting Cao, Xuanzhe Liu

CoRR, 2024

A Survey of Resource-efficient LLM and Multimodal Foundation Models.

Mengwei Xu, Wangsong Yin, Dongqi Cai, Rongjie Yi, Daliang Xu, Qipeng Wang, Bingyang Wu, Yihao Zhao, Chen Yang, Shihe Wang, Qiyang Zhang, Zhenyan Lu, Li Zhang, Shangguang Wang, Yuanchun Li, Yunxin Liu, Xin Jin, Xuanzhe Liu

CoRR, 2024

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, Yunxin Liu, Lili Qiu, Mao Yang

Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

2022

Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading.

Daliang Xu, Mengwei Xu, Qipeng Wang, Shangguang Wang, Yun Ma, Kang Huang, Guang Huang, Xin Jin, Xuanzhe Liu

CoRR, 2022

Melon: breaking the memory wall for resource-efficient on-device machine learning.

Qipeng Wang, Mengwei Xu, Chao Jin, Xinran Dong, Jinliang Yuan, Xin Jin, Gang Huang, Yunxin Liu, Xuanzhe Liu

Proceedings of the MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services, Portland, Oregon, 27 June 2022, 2022

Mandheling: mixed-precision on-device DNN training with DSP offloading.

Daliang Xu, Mengwei Xu, Qipeng Wang, Shangguang Wang, Yun Ma, Kang Huang, Gang Huang, Xin Jin, Xuanzhe Liu

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

2021

Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data.

Chengxu Yang, Qipeng Wang, Mengwei Xu, Zhenpeng Chen, Kaigui Bian, Yunxin Liu, Xuanzhe Liu

Proceedings of the WWW '21: The Web Conference 2021, 2021

Towards Ubiquitous Learning: A First Measurement of On-Device Training Performance.

Dongqi Cai, Qipeng Wang, Yuanqiang Liu, Yunxin Liu, Shangguang Wang, Mengwei Xu

Proceedings of the EMDL@MobiSys 2021: Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning, 2021

2020

Heterogeneity-Aware Federated Learning.

Chengxu Yang, Qipeng Wang, Mengwei Xu, Shangguang Wang, Kaigui Bian, Xuanzhe Liu

CoRR, 2020