| Moment matching for multi-source domain adaptation X Peng, Q Bai, X Xia, Z Huang, K Saenko, B Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 1946 | 2019 |
| A topological regularizer for classifiers via persistent homology C Chen, X Ni, Q Bai, Y Wang The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 134 | 2019 |
| Randomized ensemble tracking Q Bai, Z Wu, S Sclaroff, M Betke, C Monnier Proceedings of the IEEE International Conference on Computer Vision, 2040-2047, 2013 | 123 | 2013 |
| Face shape recovery from a single image using cca mapping between tensor spaces Z Lei, Q Bai, R He, SZ Li 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-7, 2008 | 82 | 2008 |
| Finite-sample regret bound for distributionally robust offline tabular reinforcement learning Z Zhou, Z Zhou, Q Bai, L Qiu, J Blanchet, P Glynn International Conference on Artificial Intelligence and Statistics, 3331-3339, 2021 | 79 | 2021 |
| Siamese natural language tracker: Tracking by natural language descriptions with siamese trackers Q Feng, V Ablavsky, Q Bai, S Sclaroff Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 58 | 2021 |
| Real-time visual object tracking with natural language description Q Feng, V Ablavsky, Q Bai, G Li, S Sclaroff Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 52 | 2020 |
| Distributionally Robust -Learning Z Liu, Q Bai, J Blanchet, P Dong, W Xu, Z Zhou, Z Zhou International Conference on Machine Learning, 13623-13643, 2022 | 41 | 2022 |
| Robust visual object tracking with natural language region proposal network Q Feng, V Ablavsky, Q Bai, S Sclaroff arXiv preprint arXiv:1912.02048 1 (7), 8, 2019 | 17 | 2019 |
| Implicit generative modeling for efficient exploration N Ratzlaff, Q Bai, L Fuxin, W Xu International Conference on Machine Learning, 7985-7995, 2020 | 14 | 2020 |
| A Bayesian framework for online classifier ensemble Q Bai, H Lam, S Sclaroff International conference on machine learning, 1584-1592, 2014 | 13 | 2014 |
| Offline reinforcement learning with closed-form policy improvement operators J Li, E Zhang, M Yin, Q Bai, YX Wang, WY Wang International Conference on Machine Learning, 20485-20528, 2023 | 9 | 2023 |
| TopoReg: A topological regularizer for classifiers C Chen, X Ni, Q Bai, Y Wang Proc. 22nd Int. Conf. Artif. Intell. Statist 89, 2573-2582, 2019 | 8 | 2019 |
| Society of agents: Regret bounds of concurrent Thompson sampling Y Chen, P Dong, Q Bai, M Dimakopoulou, W Xu, Z Zhou Advances in neural information processing systems 35, 7587-7598, 2022 | 4 | 2022 |
| Differential geometric regularization for supervised learning of classifiers Q Bai, S Rosenberg, Z Wu, S Sclaroff International Conference on Machine Learning, 1879-1888, 2016 | 3 | 2016 |
| A Geometric Understanding of Natural Gradient Q Bai, S Rosenberg, W Xu arXiv preprint arXiv:2202.06232, 2022 | 1 | 2022 |
| Generative Particle Variational Inference via Estimation of Functional Gradients N Ratzlaff, Q Bai, L Fuxin, W Xu International Conference on Machine Learning, 8869-8879, 2021 | 1 | 2021 |
| Understanding Natural Gradient in Sobolev Spaces. Q Bai, S Rosenberg, W Xu CoRR, 2022 | | 2022 |
| Tell Me What to Track Q Feng, V Ablavsky, G Li, S Sclaroff, Q Bai CoRR, 2019 | | 2019 |
| An Informal Introduction to the Maths Behind Wasserstein GAN Q Bai | | 2017 |
