Ronghang Zhu

According to our database, Ronghang Zhu authored at least 18 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Open-Set Graph Domain Adaptation via Separate Domain Alignment.

Yu Wang, Ronghang Zhu, Pengsheng Ji, Sheng Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Cross-Domain Graph Convolutions for Adversarial Unsupervised Domain Adaptation.

Ronghang Zhu, Xiaodong Jiang, Jiasen Lu, Sheng Li

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Co-Embedding of Nodes and Edges With Graph Neural Networks.

Xiaodong Jiang, Ronghang Zhu, Pengsheng Ji, Sheng Li

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Trustworthy Representation Learning Across Domains.

Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li

CoRR, 2023

XDC: Adaptive Cross Domain Short Text Clustering.

Saed Rezayi, Handong Zhao, Ronghang Zhu, Sheng Li

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer.

Ronghang Zhu, Xiang Yu, Sheng Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Self-supervision based Semantic Alignment for Unsupervised Domain Adaptation.

Ronghang Zhu, Sheng Li

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation.

Weili Shi, Ronghang Zhu, Sheng Li

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization.

Ronghang Zhu, Sheng Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Automated Graph Learning via Population Based Self-Tuning GCN.

Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Transferable Feature Learning on Graphs Across Visual Domains.

Ronghang Zhu, Xiaodong Jiang, Jiasen Lu, Sheng Li

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Self-supervised Universal Domain Adaptation with Adaptive Memory Separation.

Ronghang Zhu, Sheng Li

Proceedings of the IEEE International Conference on Data Mining, 2021

2018

Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition.

Feng Liu, Ronghang Zhu, Dan Zeng, Qijun Zhao, Xiaoming Liu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Discriminative Feature Adaptation for cross-domain facial expression recognition.

Ronghang Zhu, Gaoli Sang, Qijun Zhao

Proceedings of the International Conference on Biometrics, 2016

Glasses Detection Using Convolutional Neural Networks.

Li Shao, Ronghang Zhu, Qijun Zhao

Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

2015

A transfer learning approach to cross-database facial expression recognition.

Ronghang Zhu, Tingting Zhang, Qijun Zhao, Zhihong Wu

Proceedings of the International Conference on Biometrics, 2015

2014

A Novel Iterative Approach to Pupil Localization.

Ronghang Zhu, Gaoli Sang, Wei Gao, Qijun Zhao

Proceedings of the Biometric Recognition - 9th Chinese Conference, 2014

2013

Head Pose Estimation with Improved Random Regression Forests.

Ronghang Zhu, Gaoli Sang, Ying Cai, Jian You, Qijun Zhao

Proceedings of the Biometric Recognition - 8th Chinese Conference, 2013