PCA-based structure refinement for reconstruction of urban scene. - Qinxun Bai; Yihong Wu 002; Lixin Fan (ICIP, 2010)

Randomized Ensemble Tracking. - Qinxun Bai; Zheng Wu 003; Stan Sclaroff; Margrit Betke; Camille Monnier (ICCV, 2013)

A Bayesian Framework for Online Classifier Ensemble. - Qinxun Bai; Henry Lam; Stan Sclaroff (ICML, 2014)

A Bayesian Approach for Online Classifier Ensemble. - Qinxun Bai; Henry Lam; Stan Sclaroff (CoRR, 2015)

A Differential Geometric Approach to Classification. - Qinxun Bai; Steven Rosenberg; Stan Sclaroff (CoRR, 2015)

Differential Geometric Regularization for Supervised Learning of Classifiers. - Qinxun Bai; Steven Rosenberg; Zheng Wu 003; Stan Sclaroff (ICML, 2016)

The differential geometric structure in supervised learning of classifiers - Qinxun Bai (2017)

TopoReg: A Topological Regularizer for Classifiers. - Chao Chen 012; Xiuyan Ni; Qinxun Bai; Yusu Wang 001 (CoRR, 2018)

A Topological Regularizer for Classifiers via Persistent Homology. - Chao Chen 012; Xiuyan Ni; Qinxun Bai; Yusu Wang 001 (AISTATS, 2019)

Moment Matching for Multi-Source Domain Adaptation. - Xingchao Peng; Qinxun Bai; Xide Xia; Zijun Huang; Kate Saenko; Bo Wang 044 (ICCV, 2019)

Tell Me What to Track. - Qi Feng 004; Vitaly Ablavsky; Qinxun Bai; Guorong Li; Stan Sclaroff (CoRR, 2019)

Robust Visual Object Tracking with Natural Language Region Proposal Network. - Qi Feng 004; Vitaly Ablavsky; Qinxun Bai; Stan Sclaroff (CoRR, 2019)

Implicit Generative Modeling for Efficient Exploration. - Neale Ratzlaff; Qinxun Bai; Fuxin Li; Wei Xu 017 (ICML, 2020)

Real-time Visual Object Tracking with Natural Language Description. - Qi Feng 004; Vitaly Ablavsky; Qinxun Bai; Guorong Li; Stan Sclaroff (WACV, 2020)

Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning. - Zhengqing Zhou; Qinxun Bai; Zhengyuan Zhou; Linhai Qiu; Jose H. Blanchet; Peter W. Glynn (AISTATS, 2021)

Siamese Natural Language Tracker: Tracking by Natural Language Descriptions With Siamese Trackers. - Qi Feng 004; Vitaly Ablavsky; Qinxun Bai; Stan Sclaroff (CVPR, 2021)

Generative Particle Variational Inference via Estimation of Functional Gradients. - Neale Ratzlaff; Qinxun Bai; Fuxin Li; Wei Xu 017 (ICML, 2021)

Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction. - Jiachen Li; Shuo Cheng; Zhenyu Liao; Huayan Wang; William Yang Wang; Qinxun Bai (CoRR, 2021)

Distributionally Robust Q-Learning. - Zijian Liu 003; Qinxun Bai; Jose H. Blanchet; Perry Dong; Wei Xu 017; Zhengqing Zhou; Zhengyuan Zhou (ICML, 2022)

Society of Agents: Regret Bounds of Concurrent Thompson Sampling. - Yan Chen; Perry Dong; Qinxun Bai; Maria Dimakopoulou; Wei Xu 017; Zhengyuan Zhou (NeurIPS, 2022)

Understanding Natural Gradient in Sobolev Spaces. - Qinxun Bai; Steven Rosenberg; Wei Xu 017 (CoRR, 2022)

Offline Reinforcement Learning with Closed-Form Policy Improvement Operators. - Jiachen Li; Edwin Zhang; Ming Yin 003; Qinxun Bai; Yu-Xiang Wang 003; William Yang Wang (ICML, 2023)

Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA. - David Smerkous; Qinxun Bai; Fuxin Li (NeurIPS, 2024)

Large Legislative Models: Towards Efficient AI Policymaking in Economic Simulations. - Henry Gasztowtt; Benjamin Smith; Vincent Zhu; Qinxun Bai; Edwin Zhang (CoRR, 2024)

Generalized Tangent Kernel: A Unified Geometric Foundation for Natural Gradient and Standard Gradient. - Qinxun Bai; Steven Rosenberg; Wei Xu 017 (Trans. Mach. Learn. Res., 2025)

SLIM: Sim-to-Real Legged Instructive Manipulation via Long-Horizon Visuomotor Learning. - Haichao Zhang 001; Haonan Yu; Le Zhao; Andrew Choi; Qinxun Bai; Break Yang; Wei Xu 017 (CoRR, 2025)

Concurrent Learning with Aggregated States via Randomized Least Squares Value Iteration. - Yan Chen; Qinxun Bai; Yiteng Zhang; Shi Dong; Maria Dimakopoulou; Qi Sun; Zhengyuan Zhou (CoRR, 2025)