| Multi-view discriminant transfer learning PY YANG, W Gao AAAI Press, 2013 | 71 | 2013 |
| MVANet: Multi-task guided multi-view attention network for Chinese food recognition H Liang, G Wen, Y Hu, M Luo, P Yang, Y Xu IEEE Transactions on Multimedia 23, 3551-3561, 2020 | 32 | 2020 |
| Information-theoretic multi-view domain adaptation: A theoretical and empirical study P Yang, W Gao Journal of Artificial Intelligence Research 49, 501-525, 2014 | 30 | 2014 |
| A link-bridged topic model for cross-domain document classification P Yang, W Gao, Q Tan, KF Wong Information processing & management 49 (6), 1181-1193, 2013 | 26 | 2013 |
| Bayesian task-level transfer learning for non-linear regression P Yang, Q Tan, Y Ding 2008 International Conference on Computer Science and Software Engineering 1 …, 2008 | 26 | 2008 |
| Fully-channel regional attention network for disease-location recognition with tongue images Y Hu, G Wen, M Luo, P Yang, D Dai, Z Yu, C Wang, W Hall Artificial Intelligence in Medicine 118, 102110, 2021 | 24 | 2021 |
| Graph-based visual-semantic entanglement network for zero-shot image recognition Y Hu, G Wen, A Chapman, P Yang, M Luo, Y Xu, D Dai, W Hall IEEE Transactions on Multimedia 24, 2473-2487, 2021 | 22 | 2021 |
| Democracy is good for ranking: Towards multi-view rank learning and adaptation in web search W Gao, P Yang Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 21 | 2014 |
| Model multiple heterogeneity via hierarchical multi-latent space learning P Yang, J He Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 15 | 2015 |
| Information-theoretic multi-view domain adaptation P Yang, W Gao, Q Tan, KF Wong Association for Computational Linguistics, 2012 | 15 | 2012 |
| Jointly modeling label and feature heterogeneity in medical informatics P Yang, H Yang, H Fu, D Zhou, J Ye, T Lappas, J He ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (4), 1-25, 2016 | 12 | 2016 |
| Personalized intelligent syndrome differentiation guided by TCM consultation philosophy M Li, G Wen, J Zhong, P Yang Journal of Healthcare Engineering 2022 (1), 6553017, 2022 | 11 | 2022 |
| Heterogeneous representation learning with structured sparsity regularization P Yang, J He 2016 IEEE 16th International Conference on Data Mining (ICDM), 539-548, 2016 | 9 | 2016 |
| Learning from label and feature heterogeneity P Yang, J He, H Yang, H Fu 2014 IEEE International Conference on Data Mining, 1079-1084, 2014 | 9 | 2014 |
| Deep non-negative tensor factorization with multi-way EMG data Q Tan, P Yang, G Wen Neural Computing and Applications 34 (2), 1307-1317, 2022 | 8 | 2022 |
| Semantic graph-enhanced visual network for zero-shot learning Y Hu, G Wen, A Chapman, P Yang, M Luo, Y Xu, D Dai, W Hall arXiv preprint arXiv:2006.04648 4648 (2020), 1-10, 2020 | 8 | 2020 |
| Deep multi-task learning with adversarial-and-cooperative nets P Yang, Q Tan, J Ye, H Tong, J He IJCAI, 2019 | 8 | 2019 |
| Learning complex rare categories with dual heterogeneity P Yang, J He, JY Pan Proceedings of the 2015 SIAM International Conference on Data Mining, 523-531, 2015 | 8 | 2015 |
| Feature co-shrinking for co-clustering Q Tan, P Yang, J He Pattern Recognition 77, 12-19, 2018 | 7 | 2018 |
| Kernel mean matching with a large margin Q Tan, H Deng, P Yang Advanced Data Mining and Applications: 8th International Conference, ADMA …, 2012 | 7 | 2012 |
Jingrui HeUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
