World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
48
Citations
9965
World Ranking
363
National Ranking
61

Computer Science

D-Index
48
Citations
8769
World Ranking
6205
National Ranking
2783

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Zhiting Hu is affiliated with the University of California, San Diego in the United States. They have a substantial body of research within the field of Computer Science, contributing to 93 publications overall. Their work spans various subfields with a focus on Artificial Intelligence, Computer Vision and Pattern Recognition, General Health Professions, General Social Sciences, and Management Science and Operations Research.

The main topics covered by Zhiting Hu include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Speech and Dialogue Systems
  • Advanced Text Analysis Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Digital Media Forensic Detection

Zhiting Hu has frequently published in several venues, including:

  • arXiv (Cornell University)
  • ACM Computing Surveys
  • Computational Linguistics
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Knowledge-Based Systems

Some of their recent papers include:

  • "A Survey of Knowledge-enhanced Text Generation," 2022, ACM Computing Surveys
  • "Deep Learning for Text Style Transfer: A Survey," 2021, Computational Linguistics
  • "Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation," 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • "Language Models Meet World Models: Embodied Experiences Enhance Language Models," 2023, arXiv (Cornell University)
  • "A Causal Lens for Controllable Text Generation," 2022, arXiv (Cornell University)

Their frequent coauthors include:

  • Eric P. Xing
  • Bowen Tan
  • Zhengzhong Liu
  • Xiaodan Liang
  • Tianhua Tao

Best Publications

  • Toward controlled generation of text

    Zhiting Hu;Zichao Yang;Xiaodan Liang;Ruslan Salakhutdinov

  • Harnessing Deep Neural Networks with Logic Rules

    Zhiting Hu;Xuezhe Ma;Zhengzhong Liu;Eduard H. Hovy

  • Deep Kernel Learning

    Andrew Gordon Wilson;Zhiting Hu;Ruslan Salakhutdinov;Eric P. Xing

  • LCARS: a location-content-aware recommender system

    Hongzhi Yin;Yizhou Sun;Bin Cui;Zhiting Hu

  • Improved variational autoencoders for text modeling using dilated convolutions

    Zichao Yang;Zhiting Hu;Ruslan Salakhutdinov;Taylor Berg-Kirkpatrick

  • Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation

    Christy Y. Li;Xiaodan Liang;Zhiting Hu;Eric P. Xing

  • Poseidon: an efficient communication architecture for distributed deep learning on GPU clusters

    Hao Zhang;Zeyu Zheng;Shizhen Xu;Wei Dai

  • Unsupervised Text Style Transfer using Language Models as Discriminators

    Zichao Yang;Zhiting Hu;Chris Dyer;Eric P. Xing

  • Recurrent Topic-Transition GAN for Visual Paragraph Generation

    Xiaodan Liang;Zhiting Hu;Hao Zhang;Chuang Gan

  • A Survey of Knowledge-Enhanced Text Generation.

    Wenhao Yu;Chenguang Zhu;Zaitang Li;Zhiting Hu

  • Towards Multi-Pose Guided Virtual Try-On Network

    Haoye Dong;Xiaodan Liang;Xiaohui Shen;Bochao Wang

  • Dynamic User Modeling in Social Media Systems

    Hongzhi Yin;Bin Cui;Ling Chen;Zhiting Hu

  • Stochastic variational deep kernel learning

    Andrew Gordon Wilson;Zhiting Hu;Ruslan Salakhutdinov;Eric P. Xing

  • LCARS: A Spatial Item Recommender System

    Hongzhi Yin;Bin Cui;Yizhou Sun;Zhiting Hu

  • A temporal context-aware model for user behavior modeling in social media systems

    Hongzhi Yin;Bin Cui;Ling Chen;Zhiting Hu

  • Modeling Location-Based User Rating Profiles for Personalized Recommendation

    Hongzhi Yin;Bin Cui;Ling Chen;Zhiting Hu

  • Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation

    Yuan Li;Xiaodan Liang;Zhiting Hu;Eric P. Xing

  • Discovering interpretable geo-social communities for user behavior prediction

    Hongzhi Yin;Zhiting Hu;Xiaofang Zhou;Hao Wang

  • Neural Memory Streaming Recommender Networks with Adversarial Training

    Qinyong Wang;Hongzhi Yin;Zhiting Hu;Defu Lian

  • Towards Automated ICD Coding Using Deep Learning.

    Haoran Shi;Pengtao Xie;Zhiting Hu;Ming Zhang

  • Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation

    Christy Y. Li;Xiaodan Liang;Zhiting Hu;Eric P. Xing

  • Deep Learning for Text Style Transfer: A Survey

    Di Jin;Zhijing Jin;Zhiting Hu;Olga Vechtomova

Frequent Co-Authors

Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence
Xiaodan Liang
Xiaodan Liang Sun Yat-sen University
Ruslan Salakhutdinov
Ruslan Salakhutdinov Carnegie Mellon University
Hao Zhang
Hao Zhang Simon Fraser University
Hongzhi Yin
Hongzhi Yin University of Queensland
Andrew Gordon Wilson
Andrew Gordon Wilson New York University
Bin Cui
Bin Cui Peking University
Taylor Berg-Kirkpatrick
Taylor Berg-Kirkpatrick University of California, San Diego
Hai Zhao
Hai Zhao Shanghai Jiao Tong University
Eduard Hovy
Eduard Hovy Carnegie Mellon University

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