I am a fifth year CS Ph.D. student at UT Austin, advised by Philipp Krähenbühl.
Prior to UT Austin, I worked with Alex Smola at CMU and received my M.S. in machine learning.
My recent research focuses on video understanding.
My research is supported by Facebook Fellowship.
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Lossless Image Compression through Super-Resolution
Sheng Cao, Chao-Yuan Wu, Philipp Krähenbühl arXiv, 2020 [paper] [code & models] |
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A Multigrid Method for Efficiently Training Video Models
Chao-Yuan Wu, Ross Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl CVPR, 2020 (Oral) [paper] [code & models] |
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Fashion++: Minimal Edits for Outfit Improvement
Wei-Lin Hsiao, Isay Katsman*, Chao-Yuan Wu*, Devi Parikh, Kristen Grauman ICCV, 2019 [paper] [code & models] Media coverage: [Facebook AI Blog] [Vogue] [VentureBeat] [WIRED] [deeplearning.ai] |
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Long-Term Feature Banks for Detailed Video Understanding
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross Girshick CVPR, 2019 (Oral) [paper] [code & models] [CVPR oral talk] |
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Video Compression through Image Interpolation
Chao-Yuan Wu, Nayan Singhal, Philipp Krähenbühl ECCV, 2018 [paper] [details] [code & models] |
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Compressed Video Action Recognition
Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J Smola, Philipp Krähenbühl CVPR, 2018 (Spotlight) [paper] [details] [code] [spotlight talk] |
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Sampling Matters in Deep Embedding Learning
Chao-Yuan Wu, R Manmatha, Alexander J Smola, Philipp Krähenbühl ICCV, 2017 [paper] [details] [code] [code (third-party 1)] [code (third-party 2)] |
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Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization
Qi Lei, Ian En-Hsu Yen, Chao-Yuan Wu, Inderjit S Dhillon, Pradeep Ravikumar ICML, 2017 |
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Recurrent Recommender Networks
Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J Smola, How Jing WSDM, 2017 |
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Predicting Latent Structured Intents from Shopping Queries
Chao-Yuan Wu, Amr Ahmed, Gowtham Ramani Kumar, Ritendra Datta WWW, 2017 |
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Joint Training of Ratings and Reviews with Recurrent Recommender Networks
Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J Smola ICLR, 2017 Workshop |
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Spectral Methods for Nonparametric Models
Hsiao-Yu Fish Tung, Chao-Yuan Wu, Manzil Zaheer, Alexander J Smola arXiv preprint, 2017 |
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Explaining reviews and ratings with PACO: Poisson Additive Co-Clustering
Chao-Yuan Wu, Alex Beutel, Amr Ahmed, Alexander J Smola WWW, 2016 (Poster) |
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Using Navigation to Improve Recommendations in Real-time
Chao-Yuan Wu, Christopher V Alvino, Alexander J Smola, Justin Basilico RecSys, 2016 |
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Jointly Modeling Aspects, Ratings and Sentiments for Movie Recommendation (JMARS)
Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J Smola, Jing Jiang, Chong Wang KDD, 2014 |
| Apr 7, 2020 | MIT Vision Seminar | "On Efficiently Modeling Videos" [video] |
| Jun 18, 2019 | CVPR 2019 (Long Beach) | "Long-Term Feature Banks for Detailed Video Understanding" [video] |
| Jun 20, 2018 | CVPR 2018 (Salt Lake City) | "Compressed Video Action Recognition" [video] |
| May 10, 2017 | Amazon Machine Learning Conference (Seattle) | "Sampling Matters in Deep Embedding Learning" [slides] |
| Apr 5, 2017 | WWW 2017 (Perth) | "Predicting Latent Structured Intents from Shopping Queries" [slides] |
| Feb 8, 2017 | WSDM 2017 (Cambridge, UK) | "Recurrent Recommender Networks" [slides] |
| Sep 18, 2016 | RecSys 2016 (Boston) | "Using Navigation to Improve Recommendations in Real-time" [video] |
| Jul 28, 2015 | Quora Inc. (Mountain View) | "Joint Modeling of Ratings and Reviews" [slides] |
| Oct 17, 2014 | Netflix Inc. (Los Gatos) | "Joint Modeling of Movie Ratings and Reviews & Spectral Methods" [slides] |
| Oct 20, 2014 | Google Inc. (Mountain View) | "Spectral Methods for HDP & Jointly Modeling for Movie Recommendation" [slides] |
| Aug 29, 2014 | UIUC CS591 Seminar (Champaign) | "Jointly Modeling Aspects, Ratings and Sentiments for Recommendation" [slides] |
| Aug 26, 2014 | KDD 2014 (New York) | "Jointly Modeling Aspects, Ratings and Sentiments for Movie Recommendation" [video] |
| May 2018-Aug 2018 | Facebook AI Research (FAIR) | Research Intern | Research in video understanding. |
| Sep 2016-Dec 2017 | Amazon | Applied Scientist Intern | Research in computer vision. |
| May-Aug 2016 | Research Intern | Research in query modeling. | |
| Jan-Aug 2015 | Netflix | Research Intern | Research in recommender systems. |
| 2012-2013 | Taiwan Army | Chief Counselor | |
| Summer 2011 | Yahoo | Software Engineering Intern | |
| Summer 2010 | Telcordia | Software Engineering Intern |
| Facebook Fellowship, 2019-2021 |
| Graduate Dean's Prestigious Fellowship Supplement Fellow, 2019 |
| NVIDIA Graduate Fellowship Finalist, 2019-2020 |
| CVPR Outstanding Reviewer Award, 2019 |
| I co-created CS 342 Neural networks (2019) and the online CS 395T Deep Learning (2019) class with Philipp. |
| Journal Reviewer: TPAMI, TIP, TMM |
| Reviewer: NeurIPS 2019 |
| Reviewer: CVPR 2018, 2019, 2020 |
| Reviewer: ICLR 2019, 2020 |
| Reviewer: ICCV 2019 |
| Reviewer: ECCV 2018, 2020 |
| Reviewer: ACCV 2018 |
| PC member: WWW 2018 |