Xiangru Huang
Cited by
Cited by
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
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
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
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
Translation synchronization via truncated least squares
X Huang, Z Liang, C Bajaj, Q Huang
Advances in neural information processing systems 30, 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
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
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
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
Uncertainty quantification for multi-scan registration
X Huang, Z Liang, Q Huang
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
Big Data
D Zhang, MHJ Sidik
Artificial Intelligence, and Financial Literacy: Exploring their Combined …, 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
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
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
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
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
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
Instance-aware 3D Semantic Segmentation powered by Shape Generators and Classifiers
B Sun, Q Huang, X Huang
arXiv preprint arXiv:2311.12291, 2023
Surface Representation in LiDAR Scenes
H Ran, X Huang, VC Guizilini, Y Wang
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