| Adarnn: Adaptive learning and forecasting of time series Y Du, J Wang, W Feng, S Pan, T Qin, R Xu, C Wang Proceedings of the 30th ACM international conference on information …, 2021 | 169 | 2021 |
| Adversarial separation network for cross-network node classification X Zhang, Y Du, R Xie, C Wang Proceedings of the 30th ACM international conference on information …, 2021 | 29 | 2021 |
| Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation Y Du, H Yang, M Chen, H Luo, J Jiang, Y Xin, C Wang Machine Learning, 1-21, 2023 | 25 | 2023 |
| Semi-supervised learning with multi-head co-training M Chen, Y Du, Y Zhang, S Qian, C Wang Proceedings of the AAAI conference on artificial intelligence 36 (6), 6278-6286, 2022 | 23 | 2022 |
| Dual adversarial domain adaptation Y Du, Z Tan, Q Chen, X Zhang, Y Yao, C Wang arXiv preprint arXiv:2001.00153, 2020 | 18 | 2020 |
| Two wrongs don’t make a right: Combating confirmation bias in learning with label noise M Chen, H Cheng, Y Du, M Xu, W Jiang, C Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14765 …, 2023 | 14 | 2023 |
| Homogeneous online transfer learning with online distribution discrepancy minimization Y Du, Z Tan, Q Chen, Y Zhang, C Wang arXiv preprint arXiv:1912.13226, 2019 | 12 | 2019 |
| Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey Y Xin, S Luo, H Zhou, J Du, X Liu, Y Fan, Q Li, Y Du arXiv preprint arXiv:2402.02242, 2024 | 9 | 2024 |
| Cross-domain error minimization for unsupervised domain adaptation Y Du, Y Chen, F Cui, X Zhang, C Wang Database Systems for Advanced Applications: 26th International Conference …, 2021 | 8 | 2021 |
| Feature-grouping-based two steps feature selection algorithm in software defect prediction Y Du, L Zhang, J Shi, J Tang, Y Yin Proceedings of the 2nd International Conference on Advances in Image …, 2018 | 7 | 2018 |
| Learning transferable and discriminative features for unsupervised domain adaptation Y Du, R Zhang, X Zhang, Y Yao, H Lu, C Wang Intelligent data analysis 26 (2), 407-425, 2022 | 5 | 2022 |
| Heteotl: An algorithm for heterogeneous online transfer learning Q Chen, Y Du, M Xu, C Wang 2018 IEEE 30th International Conference on Tools with Artificial …, 2018 | 5 | 2018 |
| CLOVA: A closed-loop visual assistant with tool usage and update Z Gao, Y Du, X Zhang, X Ma, W Han, SC Zhu, Q Li arXiv preprint arXiv:2312.10908, 2023 | 4 | 2023 |
| Self-Training with Label-Feature-Consistency for Domain Adaptation Y Xin, S Luo, P Jin, Y Du, C Wang International Conference on Database Systems for Advanced Applications, 84-99, 2023 | 4 | 2023 |
| Spatial-temporal graph convolutional gated recurrent network for traffic forecasting L Zhao, M Chen, Y Du, H Yang, C Wang arXiv preprint arXiv:2210.02737, 2022 | 4 | 2022 |
| SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings HY Lu, Y Zhang, Y Du Data Technologies and Applications 55 (5), 643-660, 2021 | 4 | 2021 |
| Unsupervised domain adaptation with unified joint distribution alignment Y Du, Z Tan, X Zhang, Y Yao, H Yu, C Wang Database Systems for Advanced Applications: 26th International Conference …, 2021 | 4 | 2021 |
| Unsupervised domain adaptation with joint domain-adversarial reconstruction networks Q Chen, Y Du, Z Tan, Y Zhang, C Wang Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 4 | 2021 |
| Online single homogeneous source transfer learning based on AdaBoost Y Du, C Qian, H Lu, C Wang 2018 IEEE 30th International Conference on Tools with Artificial …, 2018 | 3 | 2018 |
| Joint feature and labeling function adaptation for unsupervised domain adaptation F Cui, Y Chen, Y Du, Y Cao, C Wang Pacific-Asia Conference on Knowledge Discovery and Data Mining, 432-446, 2022 | 2 | 2022 |
Chongjun WangNanjing UniversityZweryfikowany adres z nju.edu.cn
