| 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 | 72 | 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 | 55 | 2019 |
| 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 | 19 | 2019 |
| A semi-supervised attention model for identifying authentic sneakers Y Yang, N Zhu, Y Wu, J Cao, D Zhan, H Xiong Big Data Mining and Analytics 3 (1), 29-40, 2019 | 8 | 2019 |
| Multi-network user identification via graph-aware embedding Y Yang, DC Zhan, YF Wu, Y Jiang Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 7 | 2018 |
| Dmtmv: a unified learning framework for deep multi-task multi-view learning YF Wu, DC Zhan, Y Jiang 2018 IEEE international conference on big knowledge (ICBK), 49-56, 2018 | 6 | 2018 |
| Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees S Chen, Y Wang, YF Wu, QG Chen, Z Xu, W Luo, K Zhang, L Zhang arXiv preprint arXiv:2406.07115, 2024 | 5 | 2024 |
| Deep Multi-modal Learning with Cascade Consensus Y Yang, YF Wu, DC Zhan, Y Jiang PRICAI 2018: Trends in Artificial Intelligence: 15th Pacific Rim …, 2018 | 1 | 2018 |
| 基于多种深度学习构件的同源及异源多模态数据利用 吴逸峰 南京大学, 2019 | | 2019 |
De-Chuan ZhanNanjing University, ChinaZweryfikowany adres z nju.edu.cn