Bio.

I am a Ph.D. student @ University of California, San Diego, majoring in Cognitive Science.

Now, I am working with Prof. Virginia de Sa.

News

Summer 2018, I am working with Prof. Paul Smolensky on Neurosymbolic Computing.

Aug. 2018, a short paper rejected by Empirical Methods in Natural Language Processing (EMNLP2018). (scores: 2, 3, 3 out of 5)

May 2018, advanced to PhD candidate, committee members: Virginia de Sa, Ben Bergen, Eran Mukamel, Lawrence Saul, Ndapa Nakashole, and Rich Zemel.

May 2018, a long paper with Hailin, Chen, Zhaowen and Virginia, accepted to 3rd Workshop on Representation Learning for NLP. (scores: 3, 4 out of 5)

Apr. 2018, two papers rejected by the annual meeting of Association of Computational Linguisitics (ACL2018). (scores: 4, 4, 4 out of 6, and 4, 4, 4 out of 6)

Jan. 2018, one paper rejected by the International Conference on Learning Representations (ICLR2018). (scores: 3, 6, 7 out of 10)

Nov. 2017, speaking at UCSD AI Seminar about my research on sentence representation learning.

Sept. 2017, one paper rejected by the annual conference on Neural Information Processing Systems (NIPS2017). (scores: 4, 5, 6 out of 10)

Jul.-Sept. 2017, research internship at Adobe research, working on text-location based image search.

May 2017, a long paper with Hailin, Chen, Zhaowen, and Virginia, accepted to 2nd Workshop on Representation Learning for NLP. (scores: 3, 4 out of 5)

Apr. 2017, de Sa Lab, working with Prof. Virginia de Sa.

Jul.-Sept. 2016, research internship at Adobe research, working on unsupervised sentence representation learning.

Spring 2016, lab rotation in Prof. Garrison W. Cottrell's lab, working on the recurrent attention model for fine-grained classification tasks.

Fall 2015, Machine Learning, Perception, and Cognition Lab, working with Prof. Zhuowen Tu .

Spring 2015, B.Sc. in Information Science @ Zhejiang University, working with Prof. Zhiyu Xiang.

Publications

[1] Shuai Tang, Virginia de Sa, "Multi-view Sentence Representation Learning", (ArXiv,2018).

[2] Shuai Tang, Hailin Jin, Chen Fang, Zhaowen Wang, and Virginia de Sa, "Speeding up Context-based Sentence Representation Learning with Non-autoregressive Convolutional Decoding", (RepL4NLP, 2018).

[3] Shuai Tang, Hailin Jin, Chen Fang, Zhaowen Wang, and Virginia de Sa, "Trimming and Improving Skip-thought Vectors", (ArXiv,2017).

[4] Shuai Tang, Hailin Jin, Chen Fang, Zhaowen Wang, and Virginia de Sa, "Rethinking Skip-thought: A Neighborhood based Approach", (RepL4NLP,2017).

Teaching

  • Teaching Assistant
    COGS108 Data Science in Practice (2018 Winter)
    COGS118B Intro to Machine Learning II (2017 Fall)
    COGS181 Neural Networks and Deep Learning (2017 Winter)
    COGS118B Intro to Machine Learning II (2016 Fall)
    COGS118A Intro to Machine Learning I (2016 Winter)
  • Get In Touch

    • Address

      University of California, San Diego
      Cognitive Science Department
      9500 Gilman Drive #0515
      La Jolla, CA, USA 92093-0515
    • Email

      shuaitang93@ucsd.edu