Stein Neural Sampler. - Tianyang Hu; Zixiang Chen; Hanxi Sun; Jincheng Bai; Mao Ye; Guang Cheng (CoRR, 2018)

Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee. - Jincheng Bai; Qifan Song; Guang Cheng 003 (NeurIPS, 2020)

Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors. - Jincheng Bai; Qifan Song; Guang Cheng 003 (CoRR, 2020)

Deep-Learning Recognition of Scanning Transmission Electron Microscopy: Quantifying and Mitigating the Influence of Gaussian Noises. - Hanlei Zhang; Jincheng Bai; Xiabo Chen; Can Li; Chuanjian Zhong; Jiye Fang; Guangwen Zhou (CoRR, 2024)

DetailPoint: detailed feature learning on point clouds with attention mechanism. - Ying Li; Jincheng Bai; Huankun Sheng (Mach. Vis. Appl., 2024)

Insight Agents: An LLM-Based Multi-Agent System for Data Insights. - Jincheng Bai; Zhenyu Zhang; Jennifer Zhang; Jason Zhu (SIGIR, 2025)