Bingqing Song

Applied Scientist, Amazon

Joined

December 2020

Names

Bingqing Song (Preferred)

Emails

****@umn.edu (Confirmed)

,

****@amazon.com (Confirmed)

Personal Links

Semantic Scholar

Career & Education History

Applied Scientist

Amazon (amazon.com)

2025 – Present

PhD student

University of Minnesota, Minneapolis (umn.edu)

2020 – 2025

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Effectively Steer LLM To Follow Preference via Building Confident Directions
Bingqing Song, Boran Han, Shuai Zhang, Hao Wang, Haoyang Fang, Bonan Min, Bernie Wang, Mingyi Hong
- Submitted to ICLR 2025
- Readers: Everyone
Unraveling the Gradient Descent Dynamics of Transformers
Bingqing Song, Boran Han, Shuai Zhang, Jie Ding, Mingyi Hong
- NeurIPS 2024 poster
- Readers: Everyone
FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks
Bingqing Song, Prashant Khanduri, Xinwei Zhang, Jinfeng Yi, Mingyi Hong
- ICML 2023 Poster
- Readers: Everyone
Building Large Machine Learning Models from Small Distributed Models: A Layer Matching Approach
Xinwei Zhang, Bingqing Song, Mehrdad Honarkhah, Jie Ding, Mingyi Hong
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- FL-NeurIPS 2022 Poster
- Readers: Everyone
FedAvg Converges to Zero Training Loss Linearly: The Power of Overparameterized Multi-Layer Neural Networks
Bingqing Song, Prashant Khanduri, Xinwei Zhang, Jinfeng Yi, Mingyi Hong
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity
Bingqing Song, Ioannis Tsaknakis, Chung-Yiu Yau, Hoi To Wai, Mingyi Hong
- Published: 31 Oct 2022, Last Modified: 15 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone

Co-Authors