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Tianxiao Shen 沈添笑Paul G. Allen School of Computer Science & EngineeringUniversity of Washington 185 E Stevens Way NE, Seattle, WA 98195 Office: CSE 328 Email: stx [at] cs [dot] washington [dot] edu [Google Scholar] [Github] |
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Tianxiao Shen 沈添笑Paul G. Allen School of Computer Science & EngineeringUniversity of Washington 185 E Stevens Way NE, Seattle, WA 98195 Office: CSE 328 Email: stx [at] cs [dot] washington [dot] edu [Google Scholar] [Github] |
I am a postdoctoral scholar at the University of Washington, working with Yejin Choi and Zaid Harchaoui. Previously, I received my PhD from MIT, advised by Regina Barzilay and Tommi Jaakkola. Before that, I did my undergrad at Tsinghua University, where I was a member of the Yao Class.
I have broad interests in natural language processing and machine learning, with a focus on text generation. My research goal is to advance text generation models and algorithms that can be employed in real-world contexts to facilitate, curate, and inspire human writing.
| (*: Equal contribution) |
| Generating Sequences by Learning to [Self-]Correct |
| Sean Welleck*, Ximing Lu*, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi |
| ICLR 2023 |
| [paper] |
| Controlling Neural Language Generation |
| Tianxiao Shen |
| PhD thesis, MIT 2022 |
| [pdf] |
| Text Style Transfer with Confounders |
| Tianxiao Shen, Regina Barzilay, Tommi Jaakkola |
| Preprint 2022 |
| [paper] [slides] |
| Controlling Directions Orthogonal to a Classifier |
| Yilun Xu, Hao He, Tianxiao Shen, Tommi Jaakkola |
| ICLR 2022 Spotlight |
| [paper] |
| Blank Language Models |
| Tianxiao Shen*, Victor Quach*, Regina Barzilay, Tommi Jaakkola |
| EMNLP 2020 |
| [paper] [slides] [code] [video] |
| Educating Text Autoencoders: Latent Representation Guidance via Denoising |
| Tianxiao Shen, Jonas Mueller, Regina Barzilay, Tommi Jaakkola |
| ICML 2020 |
| [paper] [slides] [code] [video] |
| Learning to Make Generalizable and Diverse Predictions for Retrosynthesis |
| Benson Chen, Tianxiao Shen, Tommi Jaakkola, Regina Barzilay |
| Preprint 2019 |
| [paper] |
| Mixture Models for Diverse Machine Translation: Tricks of the Trade |
| Tianxiao Shen*, Myle Ott*, Michael Auli, Marc'Aurelio Ranzato |
| ICML 2019 Long talk |
| [paper] [slides] [code] [video] |
| Style Transfer from Non-Parallel Text by Cross-Alignment |
| Tianxiao Shen, Tao Lei, Regina Barzilay, Tommi Jaakkola |
| NIPS 2017 Spotlight |
| [paper] [slides] [code] [video] |
| Making Dependency Labeling Simple, Fast and Accurate |
| Tianxiao Shen, Tao Lei, Regina Barzilay |
| NAACL 2016 |
| [paper] [code] |
| Oct 2021 | NetMIT. Text Style Transfer with Confounders |
| Sep 2021 | IBM. Text Style Transfer with Confounders |
| Dec 2020 | AI TIME. Blank Language Models |
| Aug 2020 | Princeton NLP. Blank Language Models |
| Jul 2020 | MIT Computational Psycholinguistics Lab. Blank Language Models |
| Jul 2020 | MIT MLTea. Educating Text Autoencoders: Latent Representation Guidance via Denoising |
| Sep 2019 | AI Research Week, MIT-IBM Watson AI Lab. Mixture Models for Diverse Machine Translation |
| Jul 2019 | IIIS-Haihua Frontier Seminar Series, Tsinghua University. Latent Variable Language Modeling |
| Mar 2018 | Harvard Applied Statistics Seminar. Language Style Transfer |
| Mar 2018 | NetMIT. Language Style Transfer |
| Dec 2017 | Twitter Cambridge. Language Style Transfer |
| Nov 2017 | Harvard NLP. Language Style Transfer |
| Nov 2017 | Guest lecture at MIT 6.864 Advanced Natural Language Processing. Language Style Transfer |
| Oct 2017 | MIT Machine Learning Tea. Language Style Transfer |
| 6/2020 - 9/2020 | Visiting student at Princeton NLP Group |
| 6/2018 - 8/2018 | Research intern at Facebook AI Research |
| 2/2016 - 7/2016 | Research intern at Microsoft Research Asia |
| 6/2014 - 12/2014 | Research intern at Microsoft Research Asia |
| Fall 2022 | Organizer for Diffusion Models Reading Group at UW |
| Spring 2020 | Teaching assistant for 6.883 Modeling with Machine Learning at MIT |
I am widely interested in philosophy. Here are my writing samples: