| A survey and taxonomy of adversarial neural networks for text‐to‐image synthesis J Agnese, J Herrera, H Tao, X Zhu Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (4 …, 2020 | 140 | 2020 |
| GLEAM: A graph clustering framework based on potential game optimization for large-scale social networks Z Bu, J Cao, HJ Li, G Gao, H Tao Knowledge and Information Systems 55, 741-770, 2018 | 66 | 2018 |
| Weighted modularity optimization for crisp and fuzzy community detection in large-scale networks J Cao, Z Bu, G Gao, H Tao Physica A: Statistical Mechanics and its Applications 462, 386-395, 2016 | 64 | 2016 |
| Fraud prevention in online digital advertising X Zhu, H Tao, Z Wu, J Cao, K Kalish, J Kayne Springer International Publishing, 2017 | 56 | 2017 |
| Attentive multi-task learning for group itinerary recommendation L Chen, J Cao, H Chen, W Liang, H Tao, G Zhu Knowledge and Information Systems 63 (7), 1687-1716, 2021 | 28 | 2021 |
| Compactness preserving community computation via a network generative process J Cao, Y Wang, Z Bu, Y Wang, H Tao, G Zhu IEEE Transactions on Emerging Topics in Computational Intelligence 6 (5 …, 2021 | 22 | 2021 |
| Trip reinforcement recommendation with graph-based representation learning L Chen, J Cao, H Tao, J Wu ACM Transactions on Knowledge Discovery from Data 17 (4), 1-20, 2023 | 21 | 2023 |
| Towards hour-level crime prediction: A neural attentive framework with spatial–temporal-categorical fusion W Liang, Y Wang, H Tao, J Cao Neurocomputing 486, 286-297, 2022 | 20 | 2022 |
| Predicting grain losses and waste rate along the entire chain: A multitask multigated recurrent unit autoencoder based method J Cao, Y Wang, J He, W Liang, H Tao, G Zhu IEEE Transactions on Industrial Informatics 17 (6), 4390-4400, 2020 | 19 | 2020 |
| Reconstruction-based anomaly detection for multivariate time series using contrastive generative adversarial networks J Miao, H Tao, H Xie, J Sun, J Cao Information Processing & Management 61 (1), 103569, 2024 | 18 | 2024 |
| A comparative study of shilling attack detectors for recommender systems Y Wang, L Zhang, H Tao, Z Wu, J Cao 2015 12th International Conference on Service Systems and Service Management …, 2015 | 17 | 2015 |
| Graph convolutional network with multi-similarity attribute matrices fusion for node classification Y Wang, J Cao, H Tao Neural Computing and Applications, 1-11, 2023 | 15 | 2023 |
| Sensor-based human activity recognition using graph LSTM and multi-task classification model J Cao, Y Wang, H Tao, X Guo ACM Transactions on Multimedia Computing, Communications and Applications 18 …, 2022 | 15 | 2022 |
| Intra-and inter-association attention network-enhanced policy learning for social group recommendation Y Wang, Z Dai, J Cao, J Wu, H Tao, G Zhu World Wide Web 26 (1), 71-94, 2023 | 14 | 2023 |
| A novel noise filter based on interesting pattern mining for bag-of-features images Z Wu, J Cao, H Tao, Y Zhuang Expert systems with applications 40 (18), 7555-7561, 2013 | 11 | 2013 |
| Localized sampling for hospital re-admission prediction with imbalanced sample distributions X Zhu, J Hurtado, H Tao 2017 International Joint Conference on Neural Networks (IJCNN), 4571-4578, 2017 | 7 | 2017 |
| Overlapping community extraction: A link hypergraph partitioning based method H Tao, Z Wu, J Shi, J Cao, X Yu 2014 IEEE International Conference on Services Computing, 123-130, 2014 | 7 | 2014 |
| Link communities detection: an embedding method on the line hypergraph H Tao, Z Li, Z Wu, J Cao Neurocomputing 367, 46-54, 2019 | 6 | 2019 |
| Black-box attacks on dynamic graphs via adversarial topology perturbations H Tao, J Cao, L Chen, H Sun, Y Shi, X Zhu Neural Networks 171, 308-319, 2024 | 5 | 2024 |
| Supervised prototypical variational autoencoder for shilling attack detection in recommender systems X Wang, H Zhao, Y Wang, H Tao, J Cao International Conference on Data Mining and Big Data, 231-245, 2022 | 5 | 2022 |
