Fan Wang
PhD student
Department of Computer Science
Stony Brook University
Email: fanwang1 [at] cs.stonybrook.edu

I am a PhD stduent working with Prof. Chao Chen at Stony Brook University. Prior to joining Stony Brook University, I obatined my B.S. degree from Lanzhou University and M.Sc from National University of Singapore. I worked at ADSC for 3 years and breifly joined Singapore University of Technology and Design and Vi Dimensions as software engineers.

Research Interests
My research focus on computer vision, deep learning, topological data analysis, and parallel computations with GPU.

[CV] [LinkedIn] [GitHub] [Scholar]

Publications

    GPU Computation of the Euler Characteristic Curve for Imaging Data
    Fan Wang, Hubert Wagner, Chao Chen
    38th International Symposium on Computational Geometry, SoCG 2022
    [Paper] [Code]
    TopoTxR: A topological biomarker for predicting treatment response in breast cancer
    Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, and Chao Chen
    International Conference on Information Processing in Medical Imaging (IPMI), 2021
    [Paper] [Code]
    TopoGAN: A topology-aware generative adversarial network
    Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen
    European Conference on Computer Vision (ECCV), 2020 (Oral, 2.1%)
    [Paper] [Code]
    Hierarchical image link selection scheme for duplicate structure disambiguation
    Fan Wang, Aditi Nayak, Yogesh Agrawal, Roy Shilkrot
    British Machine Vision Conference (BMVC), 2018
    [Paper] [Code]
    CODE: Coherence based decision boundaries for feature correspondence
    Wen-Yan Lin, Fan Wang, Ming-Ming Cheng, Sai-Kit Yeung, Philip H.S. Torr, Minh N. Do, and Jiangbo Lu
    IEEE transactions on pattern analysis and machine intelligence (TPAMI), 40 (1), 34-47
    [Paper] [Code] [Website]
    Hardware Acceleration of Persistent Homology Computation
    Fan Wang, Chunhua Deng, Bo Yuan, and Chen Chao
    Medical Imaging and Computer Assisted Intervention (MICCAI) 2019, Workshop
    [Paper]

Work Experience


    Vi Dimensions, Software Engineer


    Designed and implemented a CUDA accelerated GMM background subtraction system for video surveillance.





    Advanced Digital Sciences Center (ADSC), Software Engineer


    Developed CUDA Affine-SIFT (scale-invariant feature transform) detection module.