| An Interpretable CNN for the Segmentation of the Left Ventricle in Cardiac MRI by Real-Time Visualization. J Liu, G Yuan, C Yang, H Song, L Luo CMES-Computer Modeling in Engineering & Sciences 135 (2), 2023 | 6 | 2023 |
| Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge C Yang, P Zhao, Y Li, W Niu, J Guan, H Tang, M Qin, B Ren, X Lin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| An efficient CNN for radiogenomic classification of low-grade gliomas on MRI in a small dataset J Liu, F Deng, G Yuan, C Yang, H Song, L Luo Wireless Communications and Mobile Computing 2022, 2022 | 4 | 2022 |
| Towards real-time segmentation on the edge Y Li*, C Yang*, P Zhao*, G Yuan, W Niu, J Guan, H Tang, M Qin, Q Jin, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1468-1476, 2023 | 2 | 2023 |
| DiffClass: Diffusion-Based Class Incremental Learning Z Meng, J Zhang, C Yang, Z Zhan, P Zhao, Y WAng arXiv preprint arXiv:2403.05016, 2024 | 1 | 2024 |
| Efficient Pruning of Large Language Model with Adaptive Estimation Fusion J Liu, C Wu, C Yang, H Tang, H Dong, Z Kong, G Yuan, W Niu, D Huang, ... arXiv preprint arXiv:2403.10799, 2024 | | 2024 |
| InstructGIE: Towards Generalizable Image Editing Z Meng, C Yang, J Liu, H Tang, P Zhao, Y Wang arXiv preprint arXiv:2403.05018, 2024 | | 2024 |
| EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge X Shen, Z Kong, C Yang, Z Han, L Lu, P Dong, C Lyu, C Li, X Guo, Z Shu, ... arXiv preprint arXiv:2402.10787, 2024 | | 2024 |
| Fast and Fair Medical AI on the Edge through Neural Architecture Search for Hybrid Vision Models C Yang, Y Sheng, P Dong, Z Kong, Y Li, P Yu, L Yang, X Lin, Y Wang Proceedings of the 42nd IEEE/ACM International Conference on Computer-Aided …, 2023 | | 2023 |
| Late Breaking Results: Fast Fair Medical Applications? Hybrid Vision Models Achieve the Fairness on the Edge C Yang, Y Sheng, P Dong, Z Kong, Y Li, P Yu, L Yang, X Lin Proceedings of the 60th ACM/IEEE Design Automation Conference (DAC), 2023 | | 2023 |
Yanzhi WangNortheastern UniversityVerified email at northeastern.edu
