I am Qipeng Wang(王 启鹏), a 4th-year Ph.D. candidate at School of Computer Science, Peking University. I am currently advised by Prof. Gang Huang and Prof. Xuanzhe Liu, and work close with Prof. Mengwei Xu. Previously, I received my B.S. in Software Engineer from Beihang University.

My current research mainly focuses on systems for machine learning, especially the edge ML system.

I am currently on the industrial job market. This is my CV.

Connect: wangqipeng [AT] stu [DOT] pku [DOT] edu [DOT] cn

Publications

• [MobiSys’22] 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

  [pdf], [slides], [code]

• [arXiv] 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.

• [WWW’21] 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.

  [pdf], [code]

• [TMC’22] 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.

  [pdf], [code]

• [EMDL@Mobisys’21] Towards ubiquitous learning: A first measurement of on-device training performance

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

  [pdf], [slides], [video], [code]

• [MobiCom’22] 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

  [pdf], [slides], [code]

• [arXiv] 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.

  [Paper List]

Experience

• April 2022 ~ July 2023: Research Intern @ Microsoft Research Asia, HEX Group
  • Mentored by Shiqi Jiang and Ting Cao
  • Honored with Star of Tomorrow (Award of Excellent Intern)

Teaching

• Teaching Assistant, Introduction to C++ Programming Language (120 Undergraduate student), Peking University (Fall 2020, Fall 2021, Fall 2022, Fall 2023)