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 | 93 | 2019 |
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 | 64 | 2018 |
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 | 59 | 2017 |
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 | 53 | 2019 |
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 | 52 | 2021 |
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 | 48 | 2019 |
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 | 46 | 2020 |
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 | 42 | 2021 |
Semi-Supervised Multi-Modal Learning with Incomplete Modalities. Y Yang, DC Zhan, XR Sheng, Y Jiang IJCAI, 2998-3004, 2018 | 40 | 2018 |
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 | 40* | 2018 |
Comprehensive Semi-Supervised Multi-Modal Learning. Y Yang, KT Wang, DC Zhan, H Xiong, Y Jiang IJCAI, 4092-4098, 2019 | 37 | 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 | 32 | 2015 |
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 | 30 | 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 | 29 | 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 | 28 | 2021 |
DOMFN: A divergence-orientated multi-modal fusion network for resume assessment Y Yang, J Zhang, F Gao, X Gao, H Zhu Proceedings of the 30th ACM International Conference on Multimedia, 1612-1620, 2022 | 26 | 2022 |
Exploiting cross-modal prediction and relation consistency for semisupervised image captioning Y Yang, H Wei, H Zhu, D Yu, H Xiong, J Yang IEEE Transactions on Cybernetics 54 (2), 890-902, 2022 | 24 | 2022 |
S2OSC: A holistic semi-supervised approach for open set classification Y Yang, H Wei, ZQ Sun, GY Li, Y Zhou, H Xiong, J Yang ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (2), 1-27, 2021 | 22 | 2021 |
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 | 21 | 2021 |
Contextualized knowledge graph embedding for explainable talent training course recommendation Y Yang, C Zhang, X Song, Z Dong, H Zhu, W Li ACM Transactions on Information Systems 42 (2), 1-27, 2023 | 19 | 2023 |