| Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm R Duan, MR Boland, Z Liu, Y Liu, HH Chang, H Xu, H Chu, CH Schmid, ... Journal of the American Medical Informatics Association 27 (3), 376-385, 2020 | 84 | 2020 |
| Longitudinal self-supervised learning Q Zhao, Z Liu, E Adeli, KM Pohl Medical image analysis 71, 102051, 2021 | 43 | 2021 |
| Dawson: A domain adaptive few shot generation framework W Liang, Z Liu, C Liu arXiv preprint arXiv:2001.00576, 2020 | 41 | 2020 |
| Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, and Baobao Chang. Mmicl: Empowering vision-language model with multi-modal in-context learning H Zhao, Z Cai arXiv preprint arXiv:2309.07915 3 (6), 2023 | 37 | 2023 |
| GraghVQA: Language-guided graph neural networks for graph-based visual question answering W Liang, Y Jiang, Z Liu arXiv preprint arXiv:2104.10283, 2021 | 36 | 2021 |
| Gradient-based bi-level optimization for deep learning: A survey C Chen, X Chen, C Ma, Z Liu, X Liu arXiv preprint arXiv:2207.11719, 2022 | 35 | 2022 |
| Brain-aware replacements for supervised contrastive learning in detection of Alzheimer’s disease MS Seyfioğlu, Z Liu, P Kamath, S Gangolli, S Wang, T Grabowski, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 13 | 2022 |
| Mmicl: Empowering vision-language model with multi-modal in-context learning H Zhao, Z Cai, S Si, X Ma, K An, L Chen, Z Liu, S Wang, W Han, B Chang arXiv preprint arXiv:2309.07915, 2023 | 8 | 2023 |
| Going beyond saliency maps: Training deep models to interpret deep models Z Liu, E Adeli, KM Pohl, Q Zhao Information Processing in Medical Imaging: 27th International Conference …, 2021 | 8 | 2021 |
| Textomics: a dataset for genomics data summary generation MC Wang, Z Liu, S Wang Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 7 | 2022 |
| Importance-aware co-teaching for offline model-based optimization Y Yuan, CS Chen, Z Liu, W Neiswanger, XS Liu Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| LSSL: Longitudinal self-supervised learning Q Zhao, Z Liu, E Adeli, KM Pohl arXiv preprint arXiv:2006.06930, 2020 | 4 | 2020 |
| Parallel-mentoring for offline model-based optimization CS Chen, C Beckham, Z Liu, XS Liu, C Pal Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| ChiMera: Learning with noisy labels by contrasting mixed-up augmentations Z Liu, X Zhang, J He, D Fu, D Samaras, R Tan, X Wang, S Wang arXiv preprint arXiv:2310.05183, 2023 | 1 | 2023 |
| Pisces: A cross-modal contrastive learning approach to synergistic drug combination prediction J Lin, H Xu, A Woicik, J Ma, S Wang bioRxiv, 2022.11. 21.517439, 2022 | 1 | 2022 |
| ForeSeer: Product aspect forecasting using temporal graph embedding Z Liu, G Hiranandani, K Qian, EW Huang, Y Xu, B Zeng, K Subbian, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
