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2020 – today
- 2024
[c14]Haitao Yang, Xiangru Huang, Bo Sun, Chandrajit L. Bajaj, Qixing Huang:
GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models. ICLR 2024- 2023
- [i6]Haitao Yang, Zaiwei Zhang, Xiangru Huang, Min Bai, Chen Song, Bo Sun, Li Erran Li, Qixing Huang:
LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation. CoRR abs/2304.01519 (2023) - [i5]Haitao Yang, Xiangru Huang, Bo Sun, Chandrajit Bajaj, Qixing Huang:
GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models. CoRR abs/2304.10523 (2023) - [i4]Bo Sun, Qixing Huang, Xiangru Huang:
Instance-aware 3D Semantic Segmentation powered by Shape Generators and Classifiers. CoRR abs/2311.12291 (2023) - 2022
- [c13]Xiangru Huang, Yue Wang, Vitor Campanholo Guizilini, Rares Andrei Ambrus, Adrien Gaidon, Justin M. Solomon:
Representation Learning for Object Detection from Unlabeled Point Cloud Sequences. CoRL 2022: 1277-1288 - 2021
- [c12]Qixing Huang, Xiangru Huang, Bo Sun, Zaiwei Zhang, Junfeng Jiang, Chandrajit Bajaj:
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators. ICCV 2021: 5795-5805 - [i3]Qixing Huang, Xiangru Huang, Bo Sun, Zaiwei Zhang, Junfeng Jiang, Chandrajit Bajaj:
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators. CoRR abs/2108.09432 (2021) - 2020
- [j1]Xiangru Huang, Zhenxiao Liang, Qixing Huang:
Uncertainty quantification for multi-scan registration. ACM Trans. Graph. 39(4): 130 (2020) - [c11]Xiangru Huang, Haitao Yang, Etienne Vouga, Qixing Huang:
Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs. NeurIPS 2020
2010 – 2019
- 2019
- [c10]Zaiwei Zhang, Xiangru Huang, Qixing Huang, Xiao Zhang, Yuan Li:
Joint Learning of Neural Networks via Iterative Reweighted Least Squares. CVPR Workshops 2019: 18-26 - [c9]Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas J. Guibas, Qixing Huang:
Learning Transformation Synchronization. CVPR 2019: 8082-8091 - [c8]Zhan Shi, Xiangru Huang, Akanksha Jain, Calvin Lin:
Applying Deep Learning to the Cache Replacement Problem. MICRO 2019: 413-425 - [i2]Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas J. Guibas, Qixing Huang:
Learning Transformation Synchronization. CoRR abs/1901.09458 (2019) - [i1]Zaiwei Zhang, Xiangru Huang, Qixing Huang, Xiao Zhang, Yuan Li:
Joint Learning of Neural Networks via Iterative Reweighted Least Squares. CoRR abs/1905.06526 (2019) - 2018
- [c7]Yifan Sun, Zhenxiao Liang, Xiangru Huang, Qixing Huang:
Joint Map and Symmetry Synchronization. ECCV (5) 2018: 257-275 - 2017
- [c6]Xiangru Huang, Ian En-Hsu Yen, Ruohan Zhang, Qixing Huang, Pradeep Ravikumar, Inderjit S. Dhillon:
Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain. AISTATS 2017: 1550-1559 - [c5]Ian En-Hsu Yen, Xiangru Huang, Wei Dai, Pradeep Ravikumar, Inderjit S. Dhillon, Eric P. Xing:
PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme Classification. KDD 2017: 545-553 - [c4]Xiangru Huang, Zhenxiao Liang, Chandrajit Bajaj, Qixing Huang:
Translation Synchronization via Truncated Least Squares. NIPS 2017: 1459-1468 - 2016
- [c3]Ian En-Hsu Yen, Xiangru Huang, Pradeep Ravikumar, Kai Zhong, Inderjit S. Dhillon:
PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification. ICML 2016: 3069-3077 - [c2]Ian En-Hsu Yen, Xiangru Huang, Kai Zhong, Ruohan Zhang, Pradeep Ravikumar, Inderjit S. Dhillon:
Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain. NIPS 2016: 5024-5032 - 2013
- [c1]Xiaohui Bei
, Ning Chen, Liyu Dou, Xiangru Huang, Ruixin Qiang:
Trial and error in influential social networks. KDD 2013: 1016-1024
Coauthor Index
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