| Adaptive deep models for incremental learning: Considering capacity scalability and sustainability Y Yang, DW Zhou, DC Zhan, H Xiong, Y Jiang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 68 | 2019 |
| Deep learning for fixed model reuse Y Yang, DC Zhan, Y Fan, Y Jiang, ZH Zhou Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 58 | 2017 |
| Complex object classification: A multi-modal multi-instance multi-label deep network with optimal transport Y Yang, YF Wu, DC Zhan, ZB Liu, Y Jiang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 52 | 2018 |
| Learning to classify with incremental new class DW Zhou, Y Yang, DC Zhan IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2429-2443, 2021 | 41 | 2021 |
| Sequential modeling of hierarchical user intention and preference for next-item recommendation N Zhu, J Cao, Y Liu, Y Yang, H Ying, H Xiong Proceedings of the 13th international conference on web search and data …, 2020 | 37 | 2020 |
| Semi-supervised multi-modal multi-instance multi-label deep network with optimal transport Y Yang, ZY Fu, DC Zhan, ZB Liu, Y Jiang IEEE Transactions on Knowledge and Data Engineering 33 (2), 696-709, 2019 | 36 | 2019 |
| Learning Semantic Features for Software Defect Prediction by Code Comments Embedding DCZ Xuan Huo, Yang Yang, Ming Li IEEE International Conference on Data Mining, 1049-1054, 2018 | 36* | 2018 |
| Semi-Supervised Multi-Modal Learning with Incomplete Modalities. Y Yang, DC Zhan, XR Sheng, Y Jiang IJCAI, 2998-3004, 2018 | 35 | 2018 |
| Semi-supervised multi-modal clustering and classification with incomplete modalities Y Yang, DC Zhan, YF Wu, ZB Liu, H Xiong, Y Jiang IEEE Transactions on Knowledge and Data Engineering 33 (2), 682-695, 2019 | 31 | 2019 |
| Auxiliary information regularized machine for multiple modality feature learning Y Yang, HJ Ye, DC Zhan, Y Jiang Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 27 | 2015 |
| Learning adaptive embedding considering incremental class Y Yang, ZQ Sun, H Zhu, Y Fu, Y Zhou, H Xiong, J Yang IEEE Transactions on Knowledge and Data Engineering 35 (3), 2736-2749, 2021 | 25 | 2021 |
| Comprehensive Semi-Supervised Multi-Modal Learning. Y Yang, KT Wang, DC Zhan, H Xiong, Y Jiang IJCAI, 4092-4098, 2019 | 23 | 2019 |
| Not all parameters should be treated equally: Deep safe semi-supervised learning under class distribution mismatch R He, Z Han, Y Yang, Y Yin Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6874-6883, 2022 | 22 | 2022 |
| Cost-effective incremental deep model: Matching model capacity with the least sampling Y Yang, DW Zhou, DC Zhan, H Xiong, Y Jiang, J Yang IEEE Transactions on Knowledge and Data Engineering 35 (4), 3575-3588, 2021 | 16 | 2021 |
| Corporate relative valuation using heterogeneous multi-modal graph neural network Y Yang, JQ Yang, R Bao, DC Zhan, H Zhu, XR Gao, H Xiong, J Yang IEEE Transactions on Knowledge and Data Engineering 35 (1), 211-224, 2021 | 15 | 2021 |
| Incremental spatio-temporal graph learning for online query-poi matching Z Yuan, H Liu, J Liu, Y Liu, Y Yang, R Hu, H Xiong Proceedings of the Web Conference 2021, 1586-1597, 2021 | 14 | 2021 |
| Which one will be next? An analysis of talent demission Y Yang, DC Zhan, Y Jiang The 1st International Workshop on Organizational Behavior and Talent …, 2018 | 14 | 2018 |
| Reliable multi-modal learning: A survey 杨杨， 詹德川， 姜远， 熊辉 Journal of Software 32 (4), 1067-1081, 2020 | 13 | 2020 |
| Rethinking Label-Wise Cross-Modal Retrieval from A Semantic Sharing Perspective. Y Yang, C Zhang, YC Xu, D Yu, DC Zhan, J Yang IJCAI, 3300-3306, 2021 | 12 | 2021 |
| Deep robust unsupervised multi-modal network Y Yang, YF Wu, DC Zhan, ZB Liu, Y Jiang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5652-5659, 2019 | 12 | 2019 |
De-Chuan ZhanNanjing University, ChinaAdresse e-mail validée de nju.edu.cn
