| Disentangling features in 3D face shapes for joint face reconstruction and recognition F Liu, R Zhu, D Zeng, Q Zhao, X Liu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 121 | 2018 |
| Co-embedding of Nodes and Edges with Graph Neural Networks X Jiang, R Zhu, S Li, P Ji IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 60 | 2020 |
| Discriminative feature adaptation for cross-domain facial expression recognition R Zhu, G Sang, Q Zhao 2016 International Conference on Biometrics (ICB), 1-7, 2016 | 38 | 2016 |
| CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization R Zhu, S Li International Conference on Learning Representations, 2022 | 32 | 2022 |
| Cross-Domain Graph Convolutions for Adversarial Unsupervised Domain Adaptation R Zhu, X Jiang, J Lu, S Li IEEE Transactions on Neural Networks and Learning Systems, 2021 | 23 | 2021 |
| A transfer learning approach to cross-database facial expression recognition R Zhu, T Zhang, Q Zhao, Z Wu 2015 International Conference on Biometrics (ICB), 293-298, 2015 | 21 | 2015 |
| Automated Graph Learning via Population Based Self-Tuning GCN R Zhu, Z Tao, Y Li, S Li Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 20 | 2021 |
| Self-supervised Universal Domain Adaptation with Adaptive Memory Separation R Zhu, S Li 2021 IEEE International Conference on Data Mining (ICDM), 1547-1552, 2021 | 17 | 2021 |
| Transferable Feature Learning on Graphs Across Visual Domains R Zhu, X Jiang, J Lu, S Li 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 14 | 2021 |
| Head pose estimation with improved random regression forests R Zhu, G Sang, Y Cai, J You, Q Zhao Chinese conference on biometric recognition, 457-465, 2013 | 14 | 2013 |
| Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation W Shi, R Zhu, S Li Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 12 | 2022 |
| Application of Artificial Intelligence to the Monitoring of Medication Adherence for Tuberculosis Treatment in Africa: Algorithm Development and Validation JN Sekandi, W Shi, R Zhu, P Kaggwa, E Mwebaze, S Li JMIR AI 2 (1), e40167, 2023 | 6 | 2023 |
| Self-supervision based Semantic Alignment for Unsupervised Domain Adaptation R Zhu, S Li Proceedings of the 2022 SIAM International Conference on Data Mining (SDM), 1-9, 2022 | 6 | 2022 |
| Glasses detection using convolutional neural networks L Shao, R Zhu, Q Zhao Chinese Conference on Biometric Recognition, 711-719, 2016 | 6 | 2016 |
| Trustworthy Representation Learning Across Domains R Zhu, D Guo, D Qi, Z Chu, X Yu, S Li arXiv preprint arXiv:2308.12315, 2023 | 5 | 2023 |
| Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer R Zhu, X Yu, S Li International Conference on Learning Representations, 0 | 5* | |
| XDC: Adaptive Cross Domain Short Text Clustering S Rezayi, H Zhao, R Zhu, S Li Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 3 | 2023 |
| Semi-Supervised Single Domain Generalization with Label-Free Adversarial Data Augmentation Z Ronghang, Y Xiang, L Sheng Transactions on Machine Learning Research, 2023 | 2 | 2023 |
| Open-Set Graph Domain Adaptation via Separate Domain Alignment Y Wang, R Zhu, P Ji, S Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9142-9150, 2024 | 1 | 2024 |
| A Novel Iterative Approach to Pupil Localization R Zhu, G Sang, W Gao, Q Zhao Chinese Conference on Biometric Recognition, 155-162, 2014 | | 2014 |
Sheng LiQuantitative Foundation Associate Professor of Data Science, University of VirginiaVerified email at virginia.edu
