MEIT: Multi-modal electrocardiogram instruction tuning on large language models for report generation Z Wan, C Liu, X Wang, C Tao, H Shen, Z Peng, J Fu, R Arcucci, H Yao, ... arXiv preprint arXiv:2403.04945, 2024 | 16 | 2024 |
FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things S Alam, T Zhang, T Feng, H Shen, Z Cao, D Zhao, JG Ko, ... Journal of Data-centric Machine Learning Research (DMLR), 2023 | 10 | 2023 |
Artificial Intelligence of Things: A Survey SI Siam, H Ahn, L Liu, S Alam, H Shen, Z Cao, N Shroff, B Krishnamachari, ... ACM Transactions on Sensor Networks, 2024 | 5 | 2024 |
Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images C Liu, Z Wan, Y Wang, H Shen, H Wang, K Zheng, M Zhang, R Arcucci arXiv preprint arXiv:2406.07146, 2024 | 4 | 2024 |
Autoregressive Models in Vision: A Survey J Xiong, G Liu, L Huang, C Wu, T Wu, Y Mu, Y Yao, H Shen, Z Wan, ... arXiv preprint arXiv:2411.05902, 2024 | 1 | 2024 |
MTL-SVD: Minimizing Singular Value Truncation Loss for Large Language Model Compression X Wang, S Alam, Z Wan, H Shen, M Zhang NAACL 2025, 2025 | | 2025 |
Attention Entropy-Guided Dynamic Cache Allocation for Efficient Multimodal Long-Context Inference Z Wan, H Shen, X Wang, C Liu, Z Mai, M Zhang NAACL 2025, 2025 | | 2025 |
Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion H Shen, Z Wan, X Wang, M Zhang ECCV 2024 Workshop on Computational Aspects of Deep Learning (Best Paper Award), 2024 | | 2024 |