| Improving fast segmentation with teacher-student learning J Xie, B Shuai, JF Hu, J Lin, WS Zheng arXiv preprint arXiv:1810.08476, 2018 | 107 | 2018 |
| Video understanding with large language models: A survey Y Tang, J Bi, S Xu, L Song, S Liang, T Wang, D Zhang, J An, J Lin, R Zhu, ... arXiv preprint arXiv:2312.17432, 2023 | 60 | 2023 |
| Videoxum: Cross-modal visual and textural summarization of videos J Lin, H Hua, M Chen, Y Li, J Hsiao, C Ho, J Luo IEEE Transactions on Multimedia, 2023 | 21 | 2023 |
| Fine-grained image-text alignment in medical imaging enables explainable cyclic image-report generation W Chen, L Shen, J Lin, J Luo, X Li, Y Yuan Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 19* | 2024 |
| A low rank promoting prior for unsupervised contrastive learning Y Wang, J Lin, Q Cai, Y Pan, T Yao, H Chao, T Mei IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 2667-2681, 2022 | 18 | 2022 |
| Improving self-supervised learning with automated unsupervised outlier arbitration Y Wang, J Lin, J Zou, Y Pan, T Yao, T Mei Advances in Neural Information Processing Systems 34, 27617-27630, 2021 | 13 | 2021 |
| Systematic evaluation of llm-as-a-judge in llm alignment tasks: Explainable metrics and diverse prompt templates H Wei, S He, T Xia, A Wong, J Lin, M Han arXiv preprint arXiv:2408.13006, 2024 | 9 | 2024 |
| Out-of-distribution detection via conditional kernel independence model Y Wang, J Zou, J Lin, Q Ling, Y Pan, T Yao, T Mei Advances in Neural Information Processing Systems 35, 36411-36425, 2022 | 8 | 2022 |
| CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios J Lin, Y Xia, J Zhang, K Yan, L Lu, J Luo, L Zhang arXiv preprint arXiv:2404.15272, 2024 | 5 | 2024 |
| Core-text: Improving scene text detection with contrastive relational reasoning J Lin, Y Pan, R Lai, X Yang, H Chao, T Yao 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 5 | 2021 |
| Out-of-distribution detection with hilbert-schmidt independence optimization J Lin, Y Wang, Q Cai, Y Pan, T Yao, H Chao, T Mei arXiv preprint arXiv:2209.12807, 2022 | 4 | 2022 |
| Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning J Lin, J Chen, H Lyu, I Khodak, D Chhabra, CLD Richardson, I Prelipcean, ... 2023 IEEE International Conference on Digital Health (ICDH), 263-265, 2023 | 1 | 2023 |
| Grounding Partially-Defined Events in Multimodal Data K Sanders, R Kriz, D Etter, H Recknor, A Martin, C Carpenter, J Lin, ... arXiv preprint arXiv:2410.05267, 2024 | | 2024 |
| Kernel Masked Image Modeling Through the Lens of Theoretical Understanding Y Qian, Y Wang, J Zou, J Lin, Y Pan, T Yao, Q Sun, T Mei IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
Ting YaoHiDream.ai, previously JD.com and Microsoft ResearchVerified email at hidream.ai