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 | 228 | 2016 |
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 | 165 | 2019 |
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 | 165 | 2017 |
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 | 64 | 2019 |
Translation synchronization via truncated least squares X Huang, Z Liang, C Bajaj, Q Huang Advances in neural information processing systems 30, 2017 | 40 | 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 | 33 | 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 |
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 | 8 | 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 | 7 | 2020 |
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 |
Big Data D Zhang, MHJ Sidik Artificial Intelligence, and Financial Literacy: Exploring their Combined …, 2024 | 6 | 2024 |
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 | 6 | 2019 |
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 | 5 | 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 | 5 | 2022 |
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 | 5 | 2020 |
Representation learning for object detection from unlabeled point cloud sequences X Huang, Y Wang, V Guizilini, RA Ambrus, AD Gaidon, J Solomon US Patent App. 17/859,945, 2024 | 2 | 2024 |
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 | 2 | 2023 |
Instance-aware 3D Semantic Segmentation powered by Shape Generators and Classifiers B Sun, Q Huang, X Huang arXiv preprint arXiv:2311.12291, 2023 | | 2023 |
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 |