Publications

  • An Active Texture-based Digital Atlas Enables Automated Mapping of Structures and Markers Across Brains., Yuncong Chen, et al. (manuscript in preparation)
  • The Active Atlas: Combining 3D Anatomical Models with Texture Detectors, Yuncong Chen, Lauren McElvain, Alex Tolpygo, Daniel Ferrante, Harvey Karten, Partha Mitra, David Kleinfeld and Yoav Freund, The 20th International Conference on Medical Image Computing and Computer Assisted Intervention 2017 (MICCAI 2017). (oral presentation, 3% acceptance rate)
  • Unsupervised Synthesis of Multilingual Wikipedia Articles, Yuncong Chen and Pascale Fung, The 23rd International Conference on Computational Linguistics (COLING'10). (oral presentation, 19% acceptance rate)

Reports/Talks

Neuroimage Analysis / Brain Atlas

  • Texture-based Mouse Brain Atlas
    • PhD Thesis Defense slides
    • Neuroscience Meeting 2016, Nov. 2016 poster
    • CSE AI Seminar Oct. 2016
    • Janelia Junior Scientists Workshop on Machine Learning and Computer Vision, Oct. 2016 slides
    • BRAIN Technology Integration Group Webminar, Aug. 2016 slides
    • UCSD NeuroDinner, Jun. 2016 slides
  • Robust Landmark Detection for Alignment of Mouse Brain Section Images arxiv
  • Texture Landmark Detection in Mouse Brain Images Using Significance-based Boosting (PhD. Candidancy Exam, July 2014) slides
  • Registration of High Resolution Mouse Brain Section Images using MapReduce (CSE 291, Big Data Analytics, Mar. 2013)

Robotic Vision / SLAM

  • 3D Thermal/RGB Reconstruction for Firefighting Robots (report, slides) (DRS Student Infrared Imaging Competition, Jun. 2013)
  • Stereo Image-based Stairs Modeling Using Sample Consensus (poster) (UCSD Research Expo, Apr. 2013)
  • Algorithms for Simultaneous Localization and Mapping (report, slides) (CSE Departmental Research Exam, Feb. 2013)
  • The optimization problem underlying SLAM (ECE 271, Convex Optimization, May 2011)
  • Adaptive linear filter for robot velocity based on raw laser range data (CSE 291, Adaptive Filter Theory, June 2011)

General Machine Learning Topics

  • The Information Geometry View of AdaBoost (slides) (Online Learning, Mar. 2014)