Scale Learning in Image Semantics: A 15-Year Review and A Case Study
Invited talk at IEEE CVPR Workshop on Fair, Data Efficient, Trusted Computer Vision
June 2024
Reducing Longform Errors in End2End Speech Recognition
(an overview of my work in Google Cloud Speech)
Invited talk at Rutgers University
April 2022
An extended version
Columbia E6894 (fall 2018)
Deep Learning for Computer Vision, Speech, and Language
Co-taught with Xiaodong Cui and
Kapil Thadani
Columbia E6894 (spring 2017)
Deep Learning for Computer Vision, Speech, and Language
Co-taught with Xiaodong Cui and
Kapil Thadani
Columbia EECS 6894 (spring 2015)
Deep Learning for Computer Vision and Natural Language Processing
Co-taught with James Fan
Columbia EECS 6890 (spring 2014)
Visiual recognition and search
Co-taught with Rogerio Feris and
Jun Wang
Columbia EECS 6890 (spring 2013)
Visiual recognition and search
Co-taught with Rogerio Feris
Tutorial at ICME 2019 (Shanghai, July 8-12)
Visual Search and Question Answering
Co-presented with Lu Jiang and Yannis Kalant
Tutorial at Google AI Winter Camp, Beijing 2019
Convolutional Networks and Their Applications
Tutorial at CVPR 2014:
Learning Visual Semantics: Models, Massive Computation, and Innovative Applications
Co-presented with Shih-Fu Chang, John R. Smith, and Rogerio Feris
Tutorial at ACM Multimedia 2013:
Massive-Scale Multimedia Semantic Modeling
Co-presented with John R. Smith