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ORCIDXiang Gao 0014
Person information
- affiliation: Peking University, Wangxuan Institute of Computer Technology, Beijing, China
Other persons with the same name
- Xiang Gao — disambiguation page
- Xiang Gao 0001
![[0000-0002-5410-4388]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-5410-4388")
— Lund University, Department of Electrical and Information Technology, Sweden - Xiang Gao 0002 — Marvell, Santa Clara, CA, USA (and 1 more)
- Xiang Gao 0003 — Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
- Xiang Gao 0004 — Missouri University of Science and Technology, Department of Electrical and Computer Engineering, Rolla, MO, USA
- Xiang Gao 0005 — University of Kiel, Chair of Power Electronics, Germany
- Xiang Gao 0006 — Technical University of Munich, Department of Informatics, Computer Vision Group, Munich, Germany
- Xiang Gao 0007 — Tianjin University, School of Microelectronics, Tianjin, China
- Xiang Gao 0008 — Nanyang Technological University, School of Biological Sciences, Singapore
- Xiang Gao 0009 — Ocean University of China, College of Engineering, Qingdao, China (and 1 more)
- Xiang Gao 0010 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing, China
- Xiang Gao 0011 — Microsoft Corporation, Redmond, WA, USA
- Xiang Gao 0012 — Beihang University, Beijing, China (and 1 more)
- Xiang Gao 0013 — Beijing Institute of Technology, School of Cyberspace Science and Technology, Beijing, China (and 1 more)
- Xiang Gao 0015 — Jihua Laboratory, Intelligent Robot Research Center, Foshan, China (and 1 more)
- Xiang Gao 0016 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- Xiang Gao 0017 — DataGrand Information Technology (Shanghai) Co., Ltd, Shanghai, China
- Xiang Gao 0018 — Beijing Institute of Technology, School of Mechatronical Engineering, National Key Laboratory of Mechatronic Engineering and Control, Beijing, China
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2020 – today
- 2024
[j4]Xiang Gao, Wei Hu, Guo-Jun Qi:
Self-supervised Multi-view Learning via Auto-encoding 3D Transformations. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 19:1-19:23 (2024)- [c10]Xiang Gao, Zhengbo Xu, Junhan Zhao, Jiaying Liu:
Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation. AAAI 2024: 1824-1832 - [c9]Zhimin Zhang, Xiang Gao, Wei Hu:
InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization. ICASSP 2024: 7420-7424 - [c8]Xiang Gao, Jiaying Liu:
FBSDiff: Plug-and-Play Frequency Band Substitution of Diffusion Features for Highly Controllable Text-Driven Image Translation. ACM Multimedia 2024: 4101-4109 - [i15]Zhimin Zhang, Xiang Gao, Wei Hu:
InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization. CoRR abs/2401.03765 (2024) - [i14]Bi'an Du, Xiang Gao, Wei Hu, Renjie Liao:
Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing. CoRR abs/2402.17464 (2024) - [i13]Xiang Gao, Zhengbo Xu, Junhan Zhao, Jiaying Liu:
Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation. CoRR abs/2407.03006 (2024) - [i12]Xiang Gao, Jiaying Liu:
FBSDiff: Plug-and-Play Frequency Band Substitution of Diffusion Features for Highly Controllable Text-Driven Image Translation. CoRR abs/2408.00998 (2024) - 2023
- [j3]Xiang Gao, Wei Hu, Guo-Jun Qi:
Self-Supervised Graph Representation Learning via Topology Transformations. IEEE Trans. Knowl. Data Eng. 35(4): 4202-4215 (2023) - [c7]Pufan Li, Xiang Gao, Qianjiang Hu, Wei Hu:
Robust Graph-Based Segmentation of Noisy Point Clouds. ICIP 2023: 3090-3094 - 2022
- [i11]Xiang Gao, Wei Hu, Renjie Liao:
Learning Latent Part-Whole Hierarchies for Point Clouds. CoRR abs/2211.07082 (2022) - 2021
- [j2]Wei Hu, Qianjiang Hu, Zehua Wang, Xiang Gao:
Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance. IEEE Trans. Image Process. 30: 6168-6183 (2021) - [c6]Jiaxiang Tang, Xiang Gao, Wei Hu:
RGLN: Robust Residual Graph Learning Networks via Similarity-Preserving Mapping on Graphs. ICASSP 2021: 2940-2944 - [c5]Haolan Chen, Shitong Luo, Xiang Gao, Wei Hu:
Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds. ICCVW 2021: 893-903 - [c4]Bi'an Du, Xiang Gao, Wei Hu, Xin Li:
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning. ACM Multimedia 2021: 3133-3142 - [i10]Xiang Gao, Wei Hu, Guo-Jun Qi:
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations. CoRR abs/2103.00787 (2021) - [i9]Xiang Gao, Wei Hu, Guo-Jun Qi:
Self-Supervised Graph Representation Learning via Topology Transformations. CoRR abs/2105.11689 (2021) - [i8]Bi'an Du, Xiang Gao, Wei Hu, Xin Li:
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning. CoRR abs/2107.01886 (2021) - 2020
- [j1]Wei Hu, Xiang Gao, Gene Cheung, Zongming Guo:
Feature Graph Learning for 3D Point Cloud Denoising. IEEE Trans. Signal Process. 68: 2841-2856 (2020) - [c3]Xiang Gao, Wei Hu, Guo-Jun Qi:
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations. CVPR 2020: 7161-7170 - [c2]Xiang Gao, Wei Hu, Zongming Guo:
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification. ICME 2020: 1-6 - [i7]Wei Hu, Qianjiang Hu, Zehua Wang, Xiang Gao:
3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning. CoRR abs/2003.08355 (2020)
2010 – 2019
- 2019
- [c1]Xiang Gao, Wei Hu, Jiaxiang Tang, Jiaying Liu, Zongming Guo:
Optimized Skeleton-based Action Recognition via Sparsified Graph Regression. ACM Multimedia 2019: 601-610 - [i6]Xiang Gao, Wei Hu, Zongming Guo:
Exploring Graph Learning for Semi-Supervised Classification Beyond Euclidean Data. CoRR abs/1904.10146 (2019) - [i5]Qianjiang Hu, Zehua Wang, Wei Hu, Xiang Gao, Zongming Guo:
3D Dynamic Point Cloud Denoising via Spatio-temporal Graph Modeling. CoRR abs/1904.12284 (2019) - [i4]Wei Hu, Xiang Gao, Gene Cheung, Zongming Guo:
Feature Graph Learning for 3D Point Cloud Denoising. CoRR abs/1907.09138 (2019) - [i3]Jiaxiang Tang, Wei Hu, Xiang Gao, Zongming Guo:
Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural Networks. CoRR abs/1909.04931 (2019) - [i2]Xiang Gao, Wei Hu, Guo-Jun Qi:
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations. CoRR abs/1911.08142 (2019) - 2018
- [i1]Xiang Gao, Wei Hu, Jiaxiang Tang, Pan Pan, Jiaying Liu, Zongming Guo:
Generalized Graph Convolutional Networks for Skeleton-based Action Recognition. CoRR abs/1811.12013 (2018)
Coauthor Index
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