I am a fourth 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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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] |
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Video Compression through Image Interpolation
Chao-Yuan Wu, Nayan Singhal, Philipp Krähenbühl ECCV 2018 [paper] [details] [code] |
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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] |
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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] |
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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 |
| May 2018-Dec 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 |
| Reviewer: CVPR 2018, 2019 |
| Reviewer: ICLR 2019 |
| Reviewer: ICCV 2019 |
| Reviewer: ECCV 2018 |
| Reviewer: ACCV 2018 |
| PC member: WWW 2018 |