| A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT C Zhou*, Q Li*, C Li*, J Yu*, Y Liu*, G Wang, K Zhang, C Ji, Q Yan, L He, ... arXiv preprint arXiv:2302.09419, 2023 | 460 | 2023 |
| BiomedGPT: a unified and generalist biomedical generative pre-trained transformer for vision, language, and multimodal tasks K Zhang, J Yu, Z Yan, Y Liu, E Adhikarla, S Fu, X Chen, C Chen, Y Zhou, ... arXiv preprint arXiv:2305.17100, 2023 | 82 | 2023 |
| Multi-task MIML learning for pre-course student performance prediction Y Ma, C Cui, J Yu, J Guo, G Yang, Y Yin 2020 Frontiers of Computer Science 14, 1-10, 2020 | 20 | 2020 |
| A comparison of image denoising methods Z Kong, F Deng, H Zhuang, J Yu, L He, X Yang arXiv preprint arXiv:2304.08990, 2023 | 19* | 2023 |
| Towards unified aesthetics and emotion prediction in images J Yu, C Cui, LL Geng, Y Ma, Y Yin 2019 IEEE international conference on image processing (ICIP), 2526-2530, 2019 | 11 | 2019 |
| A generalist vision–language foundation model for diverse biomedical tasks K Zhang, R Zhou, E Adhikarla, Z Yan, Y Liu, J Yu, Z Liu, X Chen, ... Nature Medicine, 1-13, 2024 | 4 | 2024 |
| Learning Multi-Scale Attentive Features for Series Photo Selection J Huang, C Cui, C Zhang, Z Shen, J Yu, Y Yin 2020 IEEE International Conference on Acoustics, Speech and Signal …, 2020 | 4 | 2020 |
| Structure-Preserving Graph Kernel for Brain Network Classification J Yu, Z Kong, A Kendre, H Peng, C Yang, L Sun, A Leow, L He 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 3 | 2022 |
| Robust computer vision in an ever-changing world: A survey of techniques for tackling distribution shifts E Adhikarla, K Zhang, J Yu, L Sun, J Nicholson, BD Davison arXiv preprint arXiv:2312.01540, 2023 | 2 | 2023 |
| Tensor-based multi-modal multi-target regression for alzheimer’s disease prediction J Yu, B Zalatan, Y Chen, L Shen, L He 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 2 | 2022 |
| Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras J Yu, Y Dai, X Liu, J Huang, Y Shen, K Zhang, R Zhou, E Adhikarla, W Ye, ... arXiv preprint arXiv:2404.18961, 2024 | 1 | 2024 |
| Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis J Yu, Z Kong, L Zhan, L Shen, L He 2022 Computer science & information technology (CS & IT) 12, 123-134, 2022 | 1 | 2022 |
| A Multilinear Least-Squares Formulation for Sparse Tensor Canonical Correlation Analysis J Yu, Z Kong, K Chen, X Zhang, Y Chen, L He 2024 Transactions on Machine Learning Research (TMLR), 2024 | | 2024 |
| 基于深度多任务学习的图像美感与情感联合预测研究 申朕， 崔超然， 董桂鑫， 余俊， 黄瑾， 尹义龙 2023 软件学报 34 (5), 2494-2506, 2023 | | 2023 |
| 基于深度多任务学习的图像美感和情感联合感知研究（硕士毕业论文） 余俊 Research on Unified Aesthetics and Emotion Perception in Images Based on …, 2020 | | 2020 |
Lifang HeAssistant Professor of Computer Science, Lehigh UniversityBestätigte E-Mail-Adresse bei lehigh.edu