About Me

Yingwei Ma (马迎伟) is now pursuing his master degree in College of Computer Science and Techenology, NUDT. He is supervised by Prof. Shanshan Li in Leopard Lab. His research interests include code intelligence, software engineering and NLP.

News

• [2023.05] One paper has been accepted by Internetware’23.
• [2023.03] I won the IEEE TCSE Distinguished Paper Award.
• [2023.03] Two papers have been accepted by SANER’23.
• [2022.09] I won the Outstanding Students of the School of Computer Science, National University of Defense Technology.

Publication

Conferences:

• [Internetware] Xiangbing Huang, Yingwei Ma, Haifang Zhou, Zhijie Jiang, Yuanliang Zhang, Teng Wang, Shanshan Li, Towards Better Multilingual Code Search through Cross-Lingual Contrastive Learning. 14th Asia-Pacific Symposium on Internetware (Internetware), Hang Zhou, China, August 4st-6th, 2023. (Co-first author, X.Huang is the Collaborative Advisor) [paper]

• [SANER] Yingwei Ma, Yue Yu, Shanshan Li, Zhouyang Jia, Jun Ma, Rulin Xu, Wei Dong and Xiangke Liao: MulCS: Towards a Unified Code Representation for Multilingual Code Search. 30th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), Macao SAR, China, March 21st-24th, 2023.(IEEE TCSE Distinguished Paper Award) [paper]

• [SANER] Zhijie Jiang, Haixu Xiong, Yingwei Ma, Yao Zhang, Yan Ding, Yun Xiong and Shanshan Li: Code Comments Generation Based on Heterogeneous Graph Structure. 30th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) Macao SAR, China, March 21st-24th, 2023.[paper]

Under Review:

• [Under Review] Yingwei Ma, Yue Liu, Yue Yu, Yu Jiang, Changjian Wang, Shanshan Li, At Which Training Stage Does Code Data Help LLM Reasoning?, 2023.

Journals:

Coming soon…

Open Source

• MulCS: Towards a Unified Code Representation for Multilingual Code Search. [Github]
• LAMCode: Towards Better Multilingual Code Search through Cross-Lingual Contrastive Learning. [Github]

Intern Experience

• [2023.4-now] Pengcheng Lab Supervised by Prof. Yue Yu.

  Research Intern, Pre-training Group. Be responsible for code data collection and cleaning required for pre-training language models and then pre-training, instruction-tuning and testing code models.

• [2020.8-2021.6] SPEED BOT
• 3D Vision Algorithm Engineer [Github]. Be responsible to calibrate about 60 industrial CCD cameras with OpenMVG and measure the large-scale car battery box.

Education

• [2021.9-now]

  M.E. in National University of Defense Technology (NUDT).

  Supervisor: Prof. Shanshan Li

• [2017.9-2021.6]

  B.E. in Yanshan University(YSU) at Qinhuangdao, Hebei Province.

  Supervisor: A.P. Fengda Zhao

Academic Service

Coming soon…

Award

• [2021] Scholarship, NUDT.
• [2021] Excellent Graduated Graduate Student of Hebei Province.
• [2020] Recommendation for admission to NUDT.
• [2019-2020] National Scholarship, Ministry of Education of the People’s Republic of China.
• [2018-2019] National Scholarship, Ministry of Education of the People’s Republic of China.
• [2020] First Class Prize, The 13th China Undergraduate Computer Design Competition.
• [2020] First Class Prize, Algorithm Group, RoboMaster University Championship(RMUC).
• [2020] National University Student Innovation and Entrepreneurship Annual Conference.
• [2019] Second Class Prize, ASC19 Student Supercomputer Challenge.