Renly Xinhai Hou

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Xinhai Hou (Renly)

PhD Candidate @ UofM

Email: xinhaih@umich.edu

[Curriculum Vitae]

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 I am glad to be selected as 2024-2025 MICDE fellow.
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

  1. arXiv
    A self-supervised framework for learning whole slide representations
    Xinhai Hou, Cheng Jiang, Akhil Kondepudi, and 4 more authors
    arXiv preprint arXiv:2402.06188, 2024
  2. CVPR
    Hierarchical discriminative learning improves visual representations of biomedical microscopy
    Cheng Jiang*, Xinhai Hou*, Akhil Kondepudi, and 5 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2023
  3. NeurIPS D&B
    OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology
    Cheng Jiang*, Asadur Chowdury*, Xinhai Hou*, and 7 more authors
    Advances in neural information processing systems, 2022