| Pd-sparse: A primal and dual sparse approach to extreme multiclass and multilabel classification IEH Yen, X Huang, P Ravikumar, K Zhong, I Dhillon International conference on machine learning, 3069-3077, 2016 | 208 | 2016 |
| Ppdsparse: A parallel primal-dual sparse method for extreme classification IEH Yen, X Huang, W Dai, P Ravikumar, I Dhillon, E Xing Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 148 | 2017 |
| Applying deep learning to the cache replacement problem Z Shi, X Huang, A Jain, C Lin Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019 | 114 | 2019 |
| Learning transformation synchronization X Huang, Z Liang, X Zhou, Y Xie, LJ Guibas, Q Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 48 | 2019 |
| Translation synchronization via truncated least squares X Huang, Z Liang, C Bajaj, Q Huang Advances in neural information processing systems 30, 2017 | 28 | 2017 |
| Arapreg: An as-rigid-as possible regularization loss for learning deformable shape generators Q Huang, X Huang, B Sun, Z Zhang, J Jiang, C Bajaj Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 18 | 2021 |
| Joint map and symmetry synchronization Y Sun, Z Liang, X Huang, Q Huang Proceedings of the European Conference on Computer Vision (ECCV), 251-264, 2018 | 14 | 2018 |
| Dual decomposed learning with factorwise oracle for structural svm of large output domain IEH Yen, X Huang, K Zhong, R Zhang, PK Ravikumar, IS Dhillon Advances in neural information processing systems 29, 2016 | 10 | 2016 |
| Greedy direction method of multiplier for MAP inference of large output domain X Huang, IEH Yen, R Zhang, Q Huang, P Ravikumar, I Dhillon Artificial Intelligence and Statistics, 1550-1559, 2017 | 7 | 2017 |
| Trial and error in influential social networks X Bei, N Chen, L Dou, X Huang, R Qiang Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 7 | 2013 |
| Uncertainty quantification for multi-scan registration X Huang, Z Liang, Q Huang ACM Transactions on Graphics (TOG) 39 (4), 130: 1-130: 24, 2020 | 6 | 2020 |
| Joint Learning of Neural Networks via Iterative Reweighted Least Squares. Z Zhang, X Huang, Q Huang, X Zhang, Y Li Cvpr workshops, 18-26, 2019 | 5 | 2019 |
| Dense correspondences between human bodies via learning transformation synchronization on graphs X Huang, H Yang, E Vouga, Q Huang Advances in Neural Information Processing Systems 33, 17489-17501, 2020 | 4 | 2020 |
| Big Data M Zhang, Y Lin, Z Song, I Dhillon, H Yu, C Hsieh, Q Lei, I Yen, C Wu, ... Machine Learning at American Airlines Tech. Ops. Proceedings of Agifors …, 2018 | 4 | 2018 |
| LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation H Yang, Z Zhang, X Huang, M Bai, C Song, B Sun, LE Li, Q Huang arXiv preprint arXiv:2304.01519, 2023 | 1 | 2023 |
| GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models H Yang, X Huang, B Sun, C Bajaj, Q Huang arXiv preprint arXiv:2304.10523, 2023 | | 2023 |
| Representation Learning for Object Detection from Unlabeled Point Cloud Sequences X Huang, Y Wang, V Guizilini, R Ambrus, A Gaidon, J Solomon Conference on Robot Learning, 2022 | | 2022 |
| PPDsparse IEH Yen, X Huang, W Dai, P Ravikumar, I Dhillon, E Xing Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | | 2017 |
| “Uncertainty quantification for multi-scan registration” by Huang, Liang and Huang X Huang | | |
| Supplementary Materials for ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators Q Huang, X Huang, B Sun, Z Zhang, J Jiang, C Bajaj | | |
Qixing HuangAssociate Professor of Computer Science, UT AustinVerified email at cs.utexas.edu
