| Fedsteg: A federated transfer learning framework for secure image steganalysis H Yang, H He, W Zhang, X Cao IEEE Transactions on Network Science and Engineering 8 (2), 1084-1094, 2020 | 99 | 2020 |
| Auction-based cluster federated learning in mobile edge computing systems R Lu, W Zhang, Y Wang, Q Li, X Zhong, H Yang, D Wang IEEE Transactions on Parallel and Distributed Systems 34 (4), 1145-1158, 2023 | 39 | 2023 |
| PDA-GNN: propagation-depth-aware graph neural networks for recommendation X Wu, H He, H Yang, Y Tai, Z Wang, W Zhang World Wide Web 26 (5), 3585-3606, 2023 | 10 | 2023 |
| MTGK: Multi-source cross-network node classification via transferable graph knowledge H Yang, H He, W Zhang, Y Bai Information Sciences 589, 395-415, 2022 | 9 | 2022 |
| Lie group manifold analysis: an unsupervised domain adaptation approach for image classification H Yang, H He, W Zhang, Y Bai, T Li Applied Intelligence 52 (4), 4074-4088, 2022 | 6 | 2022 |
| Multi‐metric domain adaptation for unsupervised transfer learning H Yang, H He, T Li, Y Bai, W Zhang IET Image Processing 14 (12), 2780-2790, 2020 | 5 | 2020 |
| Adaptive asynchronous federated learning R Lu, W Zhang, Q Li, H He, X Zhong, H Yang, D Wang, Z Xu, M Alazab Future Generation Computer Systems 152, 193-206, 2024 | 3 | 2024 |
| MSDS: A novel framework for multi-source data selection based cross-network node classification H He, H Yang, W Zhang, Y Wang, Z Zou, T Li IEEE Transactions on Knowledge and Data Engineering 35 (12), 12799-12813, 2023 | 2 | 2023 |
| Predicting information diffusion using the inter-and intra-path of influence transitivity Y Tai, H He, W Zhang, H Yang, X Wu, Y Wang Information Sciences 651, 119705, 2023 | 1 | 2023 |
| A Representation Learning Link Prediction Approach Using Line Graph Neural Networks Y Tai, H Yang, H He, X Wu, W Zhang Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 195-207, 2023 | 1 | 2023 |
| MHCNC: A novel framework for multi-source heterogeneous cross-network node classification H Yang, H He, W Zhang, T Li 2021 IEEE global communications conference (GLOBECOM), 1-6, 2021 | 1 | 2021 |
| Backdoor Two-Stream Video Models on Federated Learning J Zhao, H Yang, H He, J Peng, W Zhang, J Ni, AK Sangaiah, ... ACM Transactions on Multimedia Computing, Communications and Applications, 2024 | | 2024 |
| Multi-Source and Multi-modal Deep Network Embedding for Cross-Network Node Classification H Yang, H He, W Zhang, Y Wang, L Jing ACM Transactions on Knowledge Discovery from Data 18 (6), 1-26, 2024 | | 2024 |
| How to Bridge Graph and Sequence Patterns in Session-Based Recommendation? A Self-Supervised Method X Wu, H He, Z Wang, Y Tai, S Yin, H Yang, W Zhang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Multi-Attribute Auction-Based Grouped Federated Learning R Lu, H Yang, Y Wang, H He, Q Li, X Zhong, W Zhang IEEE Transactions on Services Computing, 2024 | | 2024 |
| Topic-Aware Masked Attentive Network for Information Cascade Prediction Y Tai, H Yang, H He, X Wu, Y Shao, W Zhang, AK Sangaiah ACM Transactions on Asian and Low-Resource Language Information Processing, 2024 | | 2024 |
| Multi-behavior Enhanced Graph Neural Networks for Social Recommendation X Wu, A Huang, H Yang, H He, Y Tai, W Zhang Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 40-52, 2023 | | 2023 |
| A Diffusion Simulation User Behavior Perception Attention Network for Information Diffusion Prediction Y Shao, H He, Y Tai, X Wu, H Yang Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 182-194, 2023 | | 2023 |
| Multi-modal Graph and Sequence Fusion Learning for Recommendation Z Wang, X Wu, H Yang, H He, Y Tai, W Zhang Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 357-369, 2023 | | 2023 |
