| REALM: RAG-Driven Enhancement of Multimodal Electronic Health Records Analysis via Large Language Models Y Zhu, C Ren, S Xie, S Liu, H Ji, Z Wang, T Sun, L He, Z Li, X Zhu, C Pan arXiv preprint arXiv:2402.07016, 2024 | 23 | 2024 |
| EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling Y Zhu, C Ren, Z Wang, X Zheng, S Xie, J Feng, X Zhu, Z Li, L Ma, C Pan arXiv preprint arXiv:2406.00036, 2024 | 6 | 2024 |
| SpecGaussian with Latent Features: A High-quality Modeling of the View-dependent Appearance for 3D Gaussian Splatting Z Wang, S Xie, C Pan, G Wang Proceedings of the 32nd ACM International Conference on Multimedia, 6270-6278, 2024 | 1 | 2024 |
| EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation Y Zhu, C Ren, Z Wang, X Zheng, S Xie, J Feng, X Zhu, Z Li, L Ma, C Pan Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 1 | 2024 |
| Leveraging Prototype Patient Representations with Feature-Missing-Aware Calibration to Mitigate EHR Data Sparsity Y Zhu, Z Wang, L He, S Xie, Z Chen, J An, L Ma, C Pan arXiv preprint arXiv:2309.04160, 2023 | 1 | 2023 |
| PRISM: Mitigating EHR Data Sparsity via Learning from Missing Feature Calibrated Prototype Patient Representations Y Zhu, Z Wang, L He, S Xie, X Zheng, L Ma, C Pan Proceedings of the 33rd ACM International Conference on Information and …, 2024 | | 2024 |
| SuperGS: Super-Resolution 3D Gaussian Splatting via Latent Feature Field and Gradient-guided Splitting S Xie, Z Wang, Y Zhu, C Pan arXiv preprint arXiv:2410.02571, 2024 | | 2024 |