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Educational Background

• Ph.D. in Computer Science and Engineering. University of Notre Dame, Notre Dame, IN, USA (2025)
• M.S. in Computer Science. New York University, New York, NY, USA (2018)
• B.Eng. in Software Engineering. Nankai University, Tianjin, China (2016)
• Exchange Student in Computer Science. University of Tsukuba, Tsukuba City, Ibaraki, Japan (Apr 2014 - Mar 2015)

Work and Research Experiences

• Notre Dame Computer Vision Research Lab (CVRL) (Notre Dame, IN, United States)
  • Feb 2020 - Now : Graduate Research Assistant
  • Aug 2019 – Dec 2019: Teaching Assistant, Computer Vision
• W. W. Grainger (Lake Forest, IL, United States)
  • Jun 2024 – Aug 2024: Deep Learning Intern
• Dolby Laboratories (Sunnyvale, CA, United States)
  • Jun 2023 – Sep 2023: Computer Vision Research Intern
• Kitware Inc. (Clifton Park, NY, United States)
  • Jun 2021 – Aug 2021: Computer Vision R&D Intern
• Singularity.AI (Bellevue, WA, United States)
  • Jun 2018 – May 2019: Computer Vision Research Engineer
• New York University Multi-Media and Visual Computing Lab (MMVC) (New York, NY, United States)
  • Jun 2017 – May 2018: Graduate Research Assistant
• Nankai University Data Analysis and Processing Lab (Tianjin, China)
  • Apr 2015 – Jun 2016: Undergraduate Research Assistant

Publications

• Jin Huang and Walter Scheirer. “Evaluating Face Morph Boundary Decisions Across AI Models and Humans: A novel Dataset and Comparative Analysis”. (In preparation. Submitting to IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026)
• Jin Huang, Deeksha Arun, Terrance Boult and Walter Scheirer. “Extreme Value Theory for Modeling Category Decision Boundaries in Visual Recognition” (In preparation. Submitting to Journal of Vision (JoV))
• Sophia Abraham, Jin Huang, Brandon RichardWebster, Michael Milford and Walter Scheirer. “Enhancing ecological monitoring with multi-objective optimization: A novel dataset and methodology for segmentation algorithms.” (Under review for CVPR 2025 workshops.)
• Jin Huang, Subhadra Gopalakrishnan, Trisha Mittal, Jake Zuena and Jaclyn Pytlarz. “A Human Eye Tracking Study on Real and Fake Face Recognition Based on Generative Adversarial Networks.” (Accepted to The 19th IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2025)
• Subhadra Gopalakrishnan, Trisha Mittal, Jin Huang, Jake Zuena and Jaclyn Pytlarz. “Enhancement of Generative Image Models Based on Gaze.” (US Patent No. 63/553,406. Filed by Dolby Laboratories.)
• Derek Prijatelj, Sam Grieggs, Jin Huang, Walter Scheirer. et al. “Human Activity Recognition in an Open World”. Journal of Artificial Intelligence Research (JAIR), 81 (2024) 85-122. ArXiv: https://arxiv.org/abs/2212.12141
• Jin Huang, Derek Prijatelj, Justin Dulay and Walter Schierer. “Measuring Human Perception to Improve Open-Set Recognition. ” Accepted to Transaction of Pattern Analysis and Machine Intelligence (T-PAMI). Arxiv: https://arxiv.org/abs/2209.03519
• Jin Huang. Med-A-Nets: Simultaneous Segmentation of Multiple Organs with Deep Adversarial Networks. Master thesis, New York University, 2018.
• Jin Huang, Zhaoxuan Ji, Wei Yang et. al., “Seats Occupation Detection System Based on Hough Transformation and Connected Components Examination”, 2015 International Conference on Electrical and Electronics: Techniques and Applications.
• Jin Huang. “Analysis of the Application of Artificial Neural Network in Image Processing.” Chinese Institution of Electronics: Electronic Technology and Software Engineering, Sep 2015. (Originally written in Chinese)

Others

• Journal Reviewer: T-IFS, T-PAMI, CVIU
• Conference Reviewer: CVPR 2018, CVPR 2023, CVPR 2024, ECCV 2024, WACV 2023, WACV 2025, FG 2025.
• Talk: “Extreme Value Theory for Modeling Category Decision Boundaries in Visual Recognition”. Vision Science Soceity (VSS) Annual Meeting, May 2025, Florida.
• Invited talk: “Measuring Human Perception to Improve Open Set Recognition”. 2nd MSU-ND Computer Vision and Biometrics Workshop, May 2023, Michigan State University.
• Best Presentation Award for Doctoral Consortium, Tapia 2022
• Invited talk: “Visual Psychophysics for Novelty Detection”. Tapia 2022, Doctoral Consortium, Washington DC
• National Science Foundation (NSF) Scholarship, Tapia Conference 2022
• Travel Grant: CRA Widening Participation 2022. April 2022, New Orleans, LA.
• 2nd place (out of 52 teams) in National University Students’ Finance Challenge, Nov 2015
• Japan Student Services Organization (JASSO) scholarship, Apr 2014 ~ Mar 2015