| Fedcdr: federated cross-domain recommendation for privacy-preserving rating prediction W Meihan, L Li, C Tao, E Rigall, W Xiaodong, X Cheng-Zhong Proceedings of the 31st ACM International Conference on Information …, 2022 | 30 | 2022 |
| Vision-language navigation: a survey and taxonomy W Wu, T Chang, X Li, Q Yin, Y Hu Neural Computing and Applications 36 (7), 3291-3316, 2024 | 22 | 2024 |
| UGAN: unified generative adversarial networks for multidirectional text style transfer W Yu, T Chang, X Guo, X Wang, B Liu, Y He IEEE Access 8, 55170-55180, 2020 | 11 | 2020 |
| GraphCS: Graph-based client selection for heterogeneity in federated learning T Chang, L Li, MH Wu, W Yu, X Wang, CZ Xu Journal of Parallel and Distributed Computing 177, 131-143, 2023 | 9 | 2023 |
| An interaction-modeling mechanism for context-dependent Text-to-SQL translation based on heterogeneous graph aggregation W Yu, T Chang, X Guo, M Wang, X Wang Neural Networks 142, 573-582, 2021 | 9 | 2021 |
| PAGroup: Privacy-aware grouping framework for high-performance federated learning T Chang, L Li, MH Wu, W Yu, X Wang, CZ Xu Journal of Parallel and Distributed Computing 175, 37-50, 2023 | 8 | 2023 |
| Similar questions correspond to similar SQL queries: a case-based reasoning approach for text-to-SQL translation W Yu, X Guo, F Chen, T Chang, M Wang, X Wang Case-Based Reasoning Research and Development: 29th International Conference …, 2021 | 6 | 2021 |
| Neural network pruning based on weight similarity H Cong, C Tao, TAN Hu, LV Shaohe, W Xiaodong Journal of Frontiers of Computer Science & Technology 12 (8), 1278, 2018 | 5 | 2018 |
| FedGosp: a novel framework of gossip federated learning for data heterogeneity G Li, Y Hu, M Zhang, L Li, T Chang, Q Yin 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 4 | 2022 |
| Heterogeneity-aware memory efficient federated learning via progressive layer freezing Y Wu, L Li, C Tian, T Chang, C Lin, C Wang, CZ Xu 2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS), 1-10, 2024 | 3 | 2024 |
| Argumentprompt: activating multi-category of information for event argument extraction with automatically generated prompts S Dong, W Yu, H Tu, X Wang, Y Zhou, H Li, J Zhou, T Chang CCF International Conference on Natural Language Processing and Chinese …, 2022 | 3 | 2022 |
| FedEKT: Ensemble Knowledge Transfer for Model-Heterogeneous Federated Learning M Wu, L Li, T Chang, P Qiao, C Miao, J Zhou, J Wang, X Wang 2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS), 1-10, 2024 | 1 | 2024 |
| EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Edge Devices M Wu, T Chang, C Miao, J Zhou, C Li, X Xu, M Li, X Wang arXiv preprint arXiv:2412.00334, 2024 | | 2024 |
| PFed-DBA: Distribution Bias Aware Personalized Federated Learning for Data Heterogeneity M Wu, L Li, T Chang, Z Jie, E Rigall, C Miao, X Wang, C Xu 2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS), 1-6, 2024 | | 2024 |
| FedEAE: Federated Learning Based Privacy-Preserving Event Argument Extraction F Hu, S Dong, T Chang, J Zhou, H Li, J Wang, R Chen, H Liu, X Wang CCF International Conference on Natural Language Processing and Chinese …, 2023 | | 2023 |
| FedHybrid: Hierarchical Hybrid Training for High-Performance Federated Learning T Chang, L Li, M Wu, W Yu, X Wang 2023 20th Annual IEEE International Conference on Sensing, Communication …, 2023 | | 2023 |
| Research on Fine-grained Sentiment Classification W Zhihui, W Xiaodong, C Tao, L Shaohe, G Xiaoting | | |
Li LiUniversity of MacauZweryfikowany adres z um.edu.mo
