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Ronghang Zhu
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2020 – today
- 2024
- [j5]Daniel Petti, Ronghang Zhu, Sheng Li, Changying Li:
Graph Neural Networks for lightweight plant organ tracking. Comput. Electron. Agric. 225: 109294 (2024) - [j4]Ronghang Zhu
, Dongliang Guo
, Daiqing Qi
, Zhixuan Chu
, Xiang Yu
, Sheng Li
:
A Survey of Trustworthy Representation Learning Across Domains. ACM Trans. Knowl. Discov. Data 18(7): 173 (2024) - [c15]Yu Wang, Ronghang Zhu, Pengsheng Ji, Sheng Li:
Open-Set Graph Domain Adaptation via Separate Domain Alignment. AAAI 2024: 9142-9150 - 2023
- [j3]Xiaodong Jiang, Ronghang Zhu
, Pengsheng Ji
, Sheng Li
:
Co-Embedding of Nodes and Edges With Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7075-7086 (2023) - [j2]Ronghang Zhu, Xiang Yu, Sheng Li:
Semi-Supervised Single Domain Generalization with Label-Free Adversarial Data Augmentation. Trans. Mach. Learn. Res. 2023 (2023) - [j1]Ronghang Zhu
, Xiaodong Jiang, Jiasen Lu, Sheng Li
:
Cross-Domain Graph Convolutions for Adversarial Unsupervised Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3847-3858 (2023) - [c14]Ronghang Zhu, Xiang Yu, Sheng Li:
Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer. ICLR 2023 - [c13]Saed Rezayi, Handong Zhao, Ronghang Zhu, Sheng Li:
XDC: Adaptive Cross Domain Short Text Clustering. SDM 2023: 927-935 - [i4]Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li:
Trustworthy Representation Learning Across Domains. CoRR abs/2308.12315 (2023) - 2022
- [c12]Ronghang Zhu, Sheng Li:
CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization. ICLR 2022 - [c11]Weili Shi, Ronghang Zhu, Sheng Li:
Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation. KDD 2022: 1598-1606 - [c10]Ronghang Zhu, Sheng Li:
Self-supervision based Semantic Alignment for Unsupervised Domain Adaptation. SDM 2022: 1-9 - 2021
- [c9]Ronghang Zhu
, Sheng Li
:
Self-supervised Universal Domain Adaptation with Adaptive Memory Separation. ICDM 2021: 1547-1552 - [c8]Ronghang Zhu
, Xiaodong Jiang, Jiasen Lu, Sheng Li
:
Transferable Feature Learning on Graphs Across Visual Domains. ICME 2021: 1-6 - [c7]Ronghang Zhu
, Zhiqiang Tao, Yaliang Li, Sheng Li:
Automated Graph Learning via Population Based Self-Tuning GCN. SIGIR 2021: 2096-2100 - [i3]Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li:
Automated Graph Learning via Population Based Self-Tuning GCN. CoRR abs/2107.04713 (2021) - 2020
- [i2]Xiaodong Jiang, Ronghang Zhu, Pengsheng Ji, Sheng Li:
Co-embedding of Nodes and Edges with Graph Neural Networks. CoRR abs/2010.13242 (2020)
2010 – 2019
- 2018
- [c6]Feng Liu, Ronghang Zhu, Dan Zeng
, Qijun Zhao, Xiaoming Liu:
Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition. CVPR 2018: 5216-5225 - [i1]Feng Liu, Ronghang Zhu, Dan Zeng, Qijun Zhao, Xiaoming Liu:
Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition. CoRR abs/1803.11366 (2018) - 2016
- [c5]Li Shao, Ronghang Zhu, Qijun Zhao:
Glasses Detection Using Convolutional Neural Networks. CCBR 2016: 711-719 - [c4]Ronghang Zhu, Gaoli Sang, Qijun Zhao:
Discriminative Feature Adaptation for cross-domain facial expression recognition. ICB 2016: 1-7 - 2015
- [c3]Ronghang Zhu, Tingting Zhang, Qijun Zhao, Zhihong Wu:
A transfer learning approach to cross-database facial expression recognition. ICB 2015: 293-298 - 2014
- [c2]Ronghang Zhu, Gaoli Sang, Wei Gao, Qijun Zhao:
A Novel Iterative Approach to Pupil Localization. CCBR 2014: 155-162 - 2013
- [c1]Ronghang Zhu, Gaoli Sang, Ying Cai, Jian You, Qijun Zhao:
Head Pose Estimation with Improved Random Regression Forests. CCBR 2013: 457-465
Coauthor Index
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last updated on 2024-08-29 20:59 CEST by the dblp team
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