Masked Generative Distillation Z Yang, Z Li, M Shao, D Shi, Z Yuan, C Yuan European Conference on Computer Vision (ECCV), 2022, 2022 | 213 | 2022 |
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers D Shi, C Tao, Y Jin, Z Yang, C Yuan, J Wang International Conference on Machine Learning (ICML), 2023, 2023 | 36 | 2023 |
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers D Shi, C Tao, A Rao, Z Yang, C Yuan, J Wang International Conference on Machine Learning (ICML), 2024, 2023 | 11 | 2023 |
Multi-Encoder Parse-Decoder Network for Sequential Medical Image Segmentation D Shi, R Liu, L Tao, Z He, L Huo International Conference on Image Processing (ICIP), 2021, 2021 | 7 | 2021 |
PTeacher: a Computer-Aided Personalized Pronunciation Training System with Exaggerated Audio-Visual Corrective Feedback Y Bu, T Ma, W Li, H Zhou, J Jia, S Chen, K Xu, D Shi, H Wu, Z Yang, K Li, ... The ACM Conference on Human Factors in Computing Systems (CHI), 2021, 2021 | 7 | 2021 |
Supervised Fine-tuning in turn Improves Visual Foundation Models X Jiang, Y Ge, Y Ge, D Shi, C Yuan, Y Shan arXiv preprint arXiv:2401.10222, 2024 | 5 | 2024 |
Heuristic Dropout: An Efficient Regularization Method for Medical Image Segmentation Models D Shi, R Liu, L Tao, C Yuan International Conference on Acoustics, Speech, and Signal Processing (ICASSP …, 2022 | 3 | 2022 |
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment Y Fu, Z Yu, J Li, J Qian, Y Zhang, X Yuan, D Shi, R Yakunin, YC Lin Neural Information Processing Systems (NeurIPS), 2024, 2024 | 1 | 2024 |