Zhiting Hu(胡志挺)

PhD student
Machine Learning Department (MLD)
Carnegie Mellon University (CMU)
Advisor: Eric P. Xing

Please check out my CV for (somewhat outdated) information:   [Curriculum Vitae]

E-mail: zhitinghu (at) gmail (dot) com
Office: GHC 8122



Highlights

Research

Interests: The general area of machine learning, including unified learning framework, knowledge-enriched deep learning, text generation, machine reasoning, large-scale ML algorithms, and their applications in natural language processing and computer vision.

Academic Experience:

Publications

[Google Scholar Profile]

Selected

By Years

By Topics

  • Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation
    Zhiting Hu, Haoran Shi, Zichao Yang, Bowen Tan, Tiancheng Zhao, Junxian He, Wentao Wang, Lianhui Qin, Di Wang, Xuezhe Ma, Hector Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing
    arXiv 2018 [arXiv] [slides] [Website] [GitHub] [Blog] [Blog (in Chinese)]
  • Deep Generative Models with Learnable Knowledge Constraints
    Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Xiaodan Liang, Lianhui Qin, Haoye Dong, Eric Xing
    NIPS 2018 [arXiv] [poster]
  • Connecting the Dots between MLE and RL for Sequence Generation
    Zhiting Hu*, Bowen Tan* (equal contribution), Zichao Yang, Ruslan Salakhutdinov, Eric Xing
    arXiv 2018 [arXiv] [Code implemented on Texar] [Blog] [Blog (in Chinese)]
  • On Unifying Deep Generative Models
    Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric Xing
    ICLR 2018 [Latest version (arXiv)] [ICLR 2018 version] [supp] [slides] [poster] [Blog] [Blog (in Chinese)]
  • Toward Controlled Generation of Text
    Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric Xing
    ICML 2017 [paper (updated over camera-ready)] [supp] [slides] [Code (for text style transfer)], oral
  • Toward Unsupervised Text Content Manipulation
    Zhiting Hu*, Wentao Wang* (equal contribution), Zichao Yang, Haoran Shi, Frank Xu, Eric Xing
    arXiv 2019 [arXiv]
  • Harnessing Deep Neural Networks with Logic Rules
    Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard Hovy, Eric Xing
    ACL 2016 [arXiv (updated)] [paper] [supp] [slides] [code] (selected as one of the outstanding papers)
  • Deep Neural Networks with Massive Learned Knowledge
    Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric Xing
    EMNLP 2016 [paper] [supp]
  • Stochastic Variational Deep Kernel Learning
    Zhiting Hu*, Andrew Gordon Wilson* (equal contribution), Ruslan Salakhutdinov, Eric Xing
    NIPS 2016 [arXiv]
  • Deep Kernel Learning
    Zhiting Hu*, Andrew Gordon Wilson* (equal contribution), Ruslan Salakhutdinov, Eric Xing
    AISTATS 2016 [paper]
  • Large-scale Distributed Dependent Nonparametric Trees
    Zhiting Hu, Qirong Ho, Avinava Dubey, Eric Xing
    ICML 2015 [paper] [supp] [slides], oral

Awards & Honors

  • IBM PhD Fellowship, 2017-2018.
  • Baidu Scholarship, 2017.
  • ACL2016 Outstanding Paper, 2016.
  • GPA 1st/140, CS Department, Peking University, 2014.
  • Excellence Award of Stars of Tomorrow Internship Program, Microsoft Research Asia, 2014.
  • Google Excellence Scholarship, Google Inc., 2013.
    110 students from Computer Science or Software Engineering all over China.
  • Outstanding Undergraduate Award, China Computer Federation (CCF), 2013.
    100 undergraduates all over China.
  • Longyu-Jin Scholarship, PKU, 2013.
    ranked top-2/150 in the department.
  • Pacemaker to Merit Student, PKU, 2013.
    ranked top-4/150 in the department.
  • National Scholarship, Ministry of Education of P.R.China, 2012.
    ranked top-4/150 in the department.
  • Merit Student, PKU, 2012.
    ranked top-10/150 in the department.
  • Li Wenggang Scholarship, PKU, 2011.
    ranked top-10/150 in the department.
  • Model Student of Academic Records, PKU, 2011.
    ranked top-8/150 in the department.
  • First Prize in China National Biology Olympiad for Senior High School, 2009.
    18 prize-winners among all senior high school students all over China.