| Towards optimal multi-modal federated learning on non-IID data with hierarchical gradient blending S Chen, B Li IEEE INFOCOM 2022-IEEE conference on computer communications, 1469-1478, 2022 | 27 | 2022 |
| Multi-modal dynamic graph transformer for visual grounding S Chen, B Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 14 | 2022 |
| Attention alignment multimodal LSTM for fine-gained common space learning S Chen, B Song, J Guo IEEE access 6, 20195-20208, 2018 | 12 | 2018 |
| Multi-modal data semantic localization with relationship dependencies for efficient signal processing in EH CRNs S Chen, B Song, L Fan, X Du, M Guizani IEEE Transactions on Cognitive Communications and Networking 5 (2), 347-357, 2019 | 5 | 2019 |
| FPAN: fine-grained and progressive attention localization network for data retrieval S Chen, B Song, J Guo, Y Zhang, X Du, M Guizani Computer networks 143, 98-111, 2018 | 3 | 2018 |
| An Unbalanced Data Hybrid-Sampling Algorithm Based on Multi-Information Fusion S Chen, B Song, J Guo, X Du GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-7, 2017 | 2 | 2017 |
| Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models S Chen, B Li, D Niu The International Conference on Learning Representations (ICLR), 2024 | 1 | 2024 |
| Structured bayesian compression for deep models in mobile-enabled devices for connected healthcare S Chen, B Song, X Du, N Guizani IEEE Network 34 (2), 142-149, 2019 | 1 | 2019 |
| Language-Guided Diffusion Model for Visual Grounding S Chen, B Li arXiv preprint arXiv:2308.09599, 2023 | | 2023 |
