Renly Xinhai Hou
Xinhai Hou (Renly)
PhD Candidate @ UofM
Email: xinhaih@umich.edu
I am currently a Ph.D. candidate in Bioinformatics and Scientific Computing at the University of Michigan, Ann Arbor, where I am co-advised by Dr. Todd Hollon and Dr. Brian Athey. I hold an M.S. in Bioinformatics from the University of Michigan and a B.S. in Statistics from the Chinese University of Hong Kong, Shenzhen.
My research focuses on self-supervised learning, computer vision, and multimodal machine learning, with a particular emphasis on real-world applications such as AI in healthcare and medicine. Currently, I am working on integrating multimodal data (vision, genomic, language) to improve patient survival prediction models.
Before starting my Ph.D. program, I worked as a machine learning engineer intern at Tencent under the supervision of Dr. Pengfei Xiong, where I contributed to projects involving title generation and video tagging.
News
| Sep 25, 2024 | Our paper Foundation models for fast, label-free detection of glioma infiltration was accepted in Nature 2024. |
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| Feb 27, 2023 | Our paper Hierarchical Discriminative (HiDisc) Learning Improves Visual Representations of Biomedical Microscopy was accepted and got highlight in CVPR 2023. |
| Sep 25, 2022 | Our paper OpenSRH: Optimizing Brain Tumor Surgery Using Intraoperative Stimulated Raman Histology was accepted in NeurIPS 2022 Dataset and Benchmark track. |
Selected Publications
- NeurIPS AIM-FMA self-supervised framework for learning whole slide representationsNeural Information Processing Systems Workshop on Advancements In Medical Foundation Models, 2024