Dongqi Cai (蔡栋琪)

I’m a 4th-year PhD student in Beijing University of Posts and Telecommunications (BUPT), co-advised by Prof. Mengwei Xu and Prof. Shangguang Wang. Currently, I am visiting the University of Cambridge under the supervision of Prof. Nicholas D. Lane. Additionally, I feel fortunate to receive remote guidance from Prof. Felix Xiaozhu Lin in the development of efficient mobile systems. Here is my Curriculum Vitae.

Email: cdq AT bupt DOT edu DOT cn

Selected Publications (*=Co-first/Corr. Author)

[arXiv] Small Language Models: Survey, Measurements, and Insights [pdf] [leader board]

Zhenyan Lu, Xiang Li, Dongqi Cai, Rongjie Yi, Fangming Liu, Xiwen Zhang, Nicholas D. Lane, Mengwei Xu
[arXiv] Recall: Empowering Multimodal Embedding for Edge Devices [pdf]

Dongqi Cai, Shangguang Wang, Chen Peng, Zeling Zhang, Mengwei Xu
[ACM Computing Surveys] Resource-efficient Algorithms and Systems of Foundation Models: A Survey [pdf] [paper list]

Mengwei Xu*, Dongqi Cai*, Wangsong Yin*, Shangguang Wang, Xin Jin, Xuanzhe Liu
[NeurIPS’24] SILENCE: Protecting Privacy in Offloaded Speech Understanding on Resource-constrained Devices [pdf]

Dongqi Cai, Shangguang Wang, Zeling Zhang, Felix Xiaozhu Lin, Mengwei Xu

[USENIX ATC’24] FwdLLM: Efficient Federated Finetuning of Large Language Models with Perturbed Inferences [pdf] [code] [slides]

Mengwei Xu, Dongqi Cai*, Yaozong Wu, Xiang Li, Shangguang Wang
[MobiCom’24] Mobile Foundation Model as Firmware [pdf] [code] [slides]

Jinliang Yuan*, Chen Yang*, Dongqi Cai*, Shihe Wang, Xin Yuan, Zeling Zhang, Xiang Li, Dingge Zhang, Hanzi Mei, Xianqing Jia, Shangguang Wang, Mengwei Xu
[MobiCom’23] Federated Few-shot Learning for Mobile NLP [pdf] [slides] [code]

Dongqi Cai, Shangguang Wang, Yaozong Wu, Felix Xiaozhu Lin, Mengwei Xu
[MobiCom’23] Efficient Federated Learning for Modern NLP [pdf] [poster] [slides] [code]

Dongqi Cai, Yaozong Wu, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu
[IEEE TBD’22] Accelerating Vertical Federated Learning [pdf]

Dongqi Cai, Tao Fan, Yan Kang, Lixin Fan, Mengwei XU, Shangguang Wang, Qiang Yang

[University of Cambridge] 09/2024 - 09/2025, Visiting PhD Student.

Advisor: Prof. Nicholas D. Lane
[WeBank] 07/2021 - 12/2021, AI Researcher on Federated Learning.

Mentor: Dr. Lixin Fan

Teaching Assistant, Principles of Machine Learning Systems, Cambridge (Autumn 2024)

[National Scholarship] 2024, Ministry of Education
[Scholar Award] 2024, NeurIPS
[CSC Scholarship] 2024, China Scholarship Council
[Travel Grant] 2024, EuroSys/MobiSys/ATC
[National Scholarship] 2023, Ministry of Education
[Outstanding Graduate Student] 2023, BUPT
[Excellent Ph.D. Students Foundation] 2023, BUPT
[Outstanding Graduate Student] 2022/2023, State Key Laboratory of Networking and Switching Technology
[First-class academic scholarship] 2022, BUPT