| MMD GAN: Towards deeper understanding of moment matching network CL Li, WC Chang, Y Cheng, Y Yang, B Póczos Advances in Neural Information Processing Systems, 2203-2213, 2017 | 346 | 2017 |
| One Network to Solve Them All--Solving Linear Inverse Problems Using Deep Projection Models JH Rick Chang, CL Li, B Poczos, BVK Vijaya Kumar, ... Proceedings of the IEEE International Conference on Computer Vision, 5888-5897, 2017 | 221 | 2017 |
| Fixmatch: Simplifying semi-supervised learning with consistency and confidence K Sohn, D Berthelot, CL Li, Z Zhang, N Carlini, ED Cubuk, A Kurakin, ... arXiv preprint arXiv:2001.07685, 2020 | 156 | 2020 |
| CMU DeepLens: deep learning for automatic image-based galaxy–galaxy strong lens finding F Lanusse, Q Ma, N Li, TE Collett, CL Li, S Ravanbakhsh, R Mandelbaum, ... Monthly Notices of the Royal Astronomical Society 473 (3), 3895-3906, 2018 | 90 | 2018 |
| Point cloud gan CL Li, M Zaheer, Y Zhang, B Poczos, R Salakhutdinov arXiv preprint arXiv:1810.05795, 2018 | 68 | 2018 |
| Sobolev gan Y Mroueh, CL Li, T Sercu, A Raj, Y Cheng ICLR, 2018 | 62 | 2018 |
| A linear ensemble of individual and blended models for music rating prediction PL Chen, CT Tsai, YN Chen, KC Chou, CL Li, CH Tsai, KW Wu, YC Chou, ... Proceedings of KDD Cup 2011, 21-60, 2012 | 62 | 2012 |
| High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models CL Li, K Kandasamy, B Póczos, J Schneider Proceedings of the 19th International Conference on Artificial Intelligence …, 2016 | 47 | 2016 |
| Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer HTD Liu, M Tao, CL Li, D Nowrouzezahrai, A Jacobson | 45* | 2019 |
| Pedestrian-synthesis-gan: Generating pedestrian data in real scene and beyond X Ouyang, Y Cheng, Y Jiang, CL Li, P Zhou arXiv preprint arXiv:1804.02047, 2018 | 39 | 2018 |
| Condensed filter tree for cost-sensitive multi-label classification CL Li, HT Lin International Conference on Machine Learning, 423-431, 2014 | 35 | 2014 |
| Effective string processing and matching for author disambiguation WS Chin, YC Juan, Y Zhuang, F Wu, HY Tung, T Yu, JP Wang, CX Chang, ... Proceedings of the 2013 KDD Cup 2013 workshop, 1-9, 2013 | 35 | 2013 |
| Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013 CL Li, YC Su, TW Lin, CH Tsai, WC Chang, KH Huang, TM Kuo, SW Lin, ... Journal of Machine Learning Research 16, 2921-2947, 2015 | 28* | 2015 |
| The strong gravitational lens finding challenge RB Metcalf, M Meneghetti, C Avestruz, F Bellagamba, CR Bom, E Bertin, ... Astronomy & Astrophysics 625, A119, 2019 | 27 | 2019 |
| Classifier Two-Sample Test for Video Anomaly Detections Y Liu, CL Li, B Póczos | 24 | 2018 |
| Nonparametric density estimation under adversarial losses S Singh, A Uppal, B Li, CL Li, M Zaheer, B Póczos arXiv preprint arXiv:1805.08836, 2018 | 23* | 2018 |
| Kernel change-point detection with auxiliary deep generative models WC Chang, CL Li, Y Yang, B Póczos arXiv preprint arXiv:1901.06077, 2019 | 21 | 2019 |
| Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA CL Li, HT Lin, CJ Lu Proceedings of the 19th International Conference on Artificial Intelligence …, 2016 | 20 | 2016 |
| Active Learning Using Hint Information CL Li, CS Ferng, HT Lin Neural Computation 27 (8), 1738-1765, 2015 | 17 | 2015 |
| LBS autoencoder: Self-supervised fitting of articulated meshes to point clouds CL Li, T Simon, J Saragih, B Póczos, Y Sheikh Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 16 | 2019 |
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityEmail verificata su cs.cmu.edu
