Low-Rank Matrix Completion for Distributed Ambient Noise Imaging Systems. - Danye Xu; Bingqing Song; Yao Xie 002; Sin-Mei Wu; Fan-Chi Lin; WenZhan Song 001 (ACSSC, 2019)

To Supervise or Not to Supervise: How to Effectively Learn Wireless Interference Management Models? - Bingqing Song; Haoran Sun; Wenqiang Pu; Sijia Liu 001; Mingyi Hong 001 (SPAWC, 2021)

To Supervise or Not: How to Effectively Learn Wireless Interference Management Models? - Bingqing Song; Haoran Sun; Wenqiang Pu; Sijia Liu 001; Mingyi Hong 001 (CoRR, 2021)

Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity. - Bingqing Song; Ioannis C. Tsaknakis; Chung-Yiu Yau; Hoi-To Wai; Mingyi Hong 001 (NeurIPS, 2022)

FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks. - Bingqing Song; Prashant Khanduri; Xinwei Zhang 001; Jinfeng Yi; Mingyi Hong 001 (ICML, 2023)

Transformer Based Approach for Wireless Resource Allocation Problems Involving Mixed Discrete and Continuous Variables. - Bingqing Song; Zhicheng Zhou; Chenliang Li; Dongning Guo; Xiao Fu 001; Mingyi Hong 001 (SPAWC, 2023)

Building Large Models from Small Distributed Models: A Layer Matching Approach. - Xinwei Zhang 001; Bingqing Song; Mehrdad Honarkhah; Jie Ding 002; Mingyi Hong 001 (SAM, 2024)

Unraveling the Gradient Descent Dynamics of Transformers. - Bingqing Song; Boran Han; Shuai Zhang 007; Jie Ding 002; Mingyi Hong 001 (NeurIPS, 2024)

Local social network structure and promotion effectiveness in social commerce. - Huasi Xu; Yidi Liu; Bingqing Song; Xueyan Yin; Xin Li 004 (Inf. Technol. People, 2024)

Effectively Steer LLM To Follow Preference via Building Confident Directions. - Bingqing Song; Boran Han; Shuai Zhang 007; Hao Wang 014; Haoyang Fang; Bonan Min; Yuyang Wang 001; Mingyi Hong 001 (CoRR, 2025)