丁 姝 Shu Ding (S. Ding) M.Sc. Student, LAMDA Group Department of Computer Science and Technology National Key Laboratory for Novel Software Technology Nanjing University, Nanjing 210023, China Supervisor: Professor Wei Wang Email: dings@lamda.nju.edu.cn Laboratory: Computer Science Building, Xianlin Campus of Nanjing University

Biography

Currently I am a Ph.D. student at the School of Artificial Intelligence in Nanjing University and a member of LAMDA Group(LAMDA Publications), led by professor Zhi-Hua Zhou.

I received my B.Sc. degree in Information and Computing Science in June 2020 from Department of Mathematics, Nanjing University. In the same year, I was admitted to pursue for a M.Sc. degree in Nanjing University without entrance examination. I received my M.Sc. degree in Computer Technology in June 2023 from Department of Computer Science and Technology, Nanjing University.

Research Interests

My research interests include topics in Machine Learning and Data Mining. Specifically, I am focusing on Federated Learning and Collaborative Learning. With the growing prevalence of edge devices, massive amounts of data are naturally dispersed over numerous clients. Federtaed learning has emerged as a promising paradigm that allows to learn models by leveraging these dispersed data.

Publications

• Collaborative Learning by Detecting Collaboration Partners.
  Shu Ding and Wei Wang.
  In: Advances in Neural Information Processing Systems (NeurIPS 2022), New Orleans, Louisiana, 2022. (Spotlight Presentation)

Patents

• A method for identifying collaborative relationships among medical institutions for medical image processing(一种面向医疗图像处理的医疗机构协作关系识别方法). CN115714005A.

Teaching Assistant

• Neural Networks. (With Prof. Furao Shen and Baile Xu; For Undergraduate Students, Spring, 2024)
• Digital Image Processing. (With Prof. Wei Wang; For Undergraduate Students, Fall, 2021)
• LAMDA Machine Learning Summer Seminar. (For New Students in LAMDA, Summer, 2021)

Academic Service

• Reviewer for Conferences: ICML (2022).

• Volunteer for Organizations: MLA (2020).

Awards & Honors

• Postgraduate Outstanding Graduate, Nanjing University, 2023.

• Excellent Master Dissertation Award, Nanjing University, 2023.

• Excellent Graduate Student, Nanjing University, 2022.

• Tencent Scholarship, Nanjing University, 2022.

• Academic Scholarship for Master Students, Nanjing University, 2020, 2021, 2022.

• Outstanding Graduate, Nanjing University, 2020.

• Training Plan of the National Basic Subject Top-notch Talent Scholarship, 2017, 2018, 2019, 2020.

• People's Scholarship, Nanjng University, 2018, 2019.

• Excellent Undergraduate Student Model, Nanjng University, 2018.

• Excellent Undergraduate Student, Nanjng University, 2018.

• Nanjing (H.K.) Association Elite Scholarship, Nanjing University, 2017.

• Outstanding Freshman Scholarship, Nanjing University, 2016.

Correspondence

Email: dings@lamda.nju.edu.cn or dings@smail.nju.edu.cn

Office: Room 912, Computer Science Building, Xianlin Campus of Nanjing University

Address: National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(南京市栖霞区仙林大道163号, 南京大学仙林校区603信箱, 软件新技术国家重点实验室, 210023)