| Fast gradient attack on network embedding J Chen, Y Wu, X Xu, Y Chen, H Zheng, Q Xuan arXiv preprint arXiv:1809.02797, 2018 | 189 | 2018 |
| Generative semi-supervised learning for multivariate time series imputation X Miao, Y Wu, J Wang, Y Gao, X Mao, J Yin Proceedings of the AAAI conference on artificial intelligence 35 (10), 8983-8991, 2021 | 164 | 2021 |
| An experimental survey of missing data imputation algorithms X Miao, Y Wu, L Chen, Y Gao, J Yin IEEE Transactions on Knowledge and Data Engineering 35 (7), 6630-6650, 2022 | 65 | 2022 |
| A novel image segmentation method based on fast density clustering algorithm J Chen, H Zheng, X Lin, Y Wu, M Su Engineering Applications of Artificial Intelligence 73, 92-110, 2018 | 48 | 2018 |
| Customizable text generation via conditional text generative adversarial network J Chen, Y Wu, C Jia, H Zheng, G Huang Neurocomputing 416, 125-135, 2020 | 37 | 2020 |
| N2VSCDNNR: A local recommender system based on node2vec and rich information network J Chen, Y Wu, L Fan, X Lin, H Zheng, S Yu, Q Xuan IEEE Transactions on Computational Social Systems 6 (3), 456-466, 2019 | 35 | 2019 |
| Smoothing adversarial training for GNN J Chen, X Lin, H Xiong, Y Wu, H Zheng, Q Xuan IEEE Transactions on Computational Social Systems 8 (3), 618-629, 2020 | 31 | 2020 |
| Efficient and effective data imputation with influence functions X Miao, Y Wu, L Chen, Y Gao, J Wang, J Yin Proceedings of the VLDB Endowment 15 (3), 624-632, 2021 | 24 | 2021 |
| Generative dynamic link prediction J Chen, X Lin, C Jia, Y Li, Y Wu, H Zheng, Y Liu Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (12), 2019 | 23 | 2019 |
| Prediction of maximum absorption wavelength using deep neural networks J Shao, Y Liu, J Yan, ZY Yan, Y Wu, Z Ru, JY Liao, X Miao, L Qian Journal of Chemical Information and Modeling 62 (6), 1368-1375, 2022 | 19 | 2022 |
| Differentiable and scalable generative adversarial models for data imputation Y Wu, J Wang, X Miao, W Wang, J Yin IEEE Transactions on Knowledge and Data Engineering 36 (2), 490-503, 2023 | 14 | 2023 |
| PSO-ANE: Adaptive network embedding with particle swarm optimization J Chen, Y Wu, X Xu, H Zheng, Z Ruan, Q Xuan IEEE Transactions on Computational Social Systems 6 (4), 649-659, 2019 | 14 | 2019 |
| Double layered recommendation algorithm based on fast density clustering: Case study on Yelp social networks dataset J Chen, X Lin, Y Wu, Y Chen, H Zheng, M Su, S Yu, Z Ruan 2017 International Workshop on Complex Systems and Networks (IWCSN), 242-252, 2017 | 12 | 2017 |
| Improved spectral clustering collaborative filtering with Node2vec technology J Chen, Y Wu, L Fan, X Lin, H Zheng, S Yu, Q Xuan 2017 International Workshop on Complex Systems and Networks (IWCSN), 330-334, 2017 | 10 | 2017 |
| DGEPN-GCEN2V: a new framework for mining GGI and its application in biomarker detection J Chen, H Zheng, H Xiong, Y Wu, X Lin, S Ying, Q Xuan Science China. Information Sciences 62 (9), 199104, 2019 | 9 | 2019 |
| Jointly imputing multi-view data with optimal transport Y Wu, X Miao, X Huang, J Yin Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4747-4755, 2023 | 8 | 2023 |
| DOE-AND-SCA: a novel SCA based on DNN with optimal eigenvectors and automatic cluster number determination J Chen, Y Wu, X Lin, Q Xuan IEEE Access 6, 20764-20778, 2018 | 7 | 2018 |
| IterClean: An Iterative Data Cleaning Framework with Large Language Models W Ni, K Zhang, X Miao, X Zhao, Y Wu, J Yin Proceedings of the ACM Turing Award Celebration Conference-China 2024, 100-105, 2024 | 6 | 2024 |
| Automatic data repair: Are we ready to deploy? W Ni, X Miao, X Zhao, Y Wu, J Yin arXiv preprint arXiv:2310.00711, 2023 | 5 | 2023 |
| A dual-modal graph learning framework for identifying interaction events among chemical and biotech drugs Z Ru, Y Wu, J Shao, J Yin, L Qian, X Miao Briefings in Bioinformatics 24 (5), bbad271, 2023 | 3 | 2023 |
Jianwei YinProfessor of Computer Science and Technology, Zhejiang UniversityPatvirtintas el. paštas zju.edu.cn