World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
26989
World Ranking
1396
National Ranking
189

Overview

Ting Liu is affiliated with the Harbin Institute of Technology in China, contributing primarily to the field of Computer Science with a focus on Artificial Intelligence. Their work spans several prominent research topics including Topic Modeling, Natural Language Processing Techniques, and Speech and Dialogue Systems.

Liu's publication record includes recent works in venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, and Chemosphere. Notable papers include:

  • "A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions" (2023) published in arXiv (Cornell University)
  • "HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge" (2023) published in arXiv (Cornell University)
  • "Generating Persona Consistent Dialogues by Exploiting Natural Language Inference" (2020) published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "The catalytic oxidation process of atrazine by ozone microbubbles: Bubble formation, ozone mass transfer and hydroxyl radical generation" (2023) published in Chemosphere
  • "Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses" (2020) published in Proceedings of the AAAI Conference on Artificial Intelligence

Their frequent co-authors reflect long-term collaborative relationships in the research community. These collaborators include:

  • Bing Qin
  • Wanxiang Che
  • Weinan Zhang
  • Xiaocheng Feng
  • Xiao Ding

Liu's work has been disseminated in a variety of venues, with the most frequent being:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Chemosphere
  • Findings of the Association for Computational Linguistics: ACL 2022
  • ACM Transactions on Intelligent Systems and Technology

Their research covers multiple subfields of Computer Science beyond Artificial Intelligence, including Computer Vision and Pattern Recognition, Materials Chemistry, Information Systems, and Social Psychology. This multidisciplinary approach is reflected in various topics such as Text Readability and Simplification, Multimodal Machine Learning Applications, and Advanced Graph Neural Networks.

Ting Liu has also contributed scholarly work in book form, including a publication with Springer Science+Business Media titled "Chinese Lexical Semantics" released in 2022.

Best Publications

  • CodeBERT: A Pre-Trained Model for Programming and Natural Languages

    Zhangyin Feng;Daya Guo;Duyu Tang;Nan Duan

  • Document Modeling with Gated Recurrent Neural Network for Sentiment Classification

    Duyu Tang;Bing Qin;Ting Liu

  • Pre-Training with Whole Word Masking for Chinese BERT

    Yiming Cui;Wanxiang Che;Ting Liu;Bing Qin

  • Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

    Duyu Tang;Furu Wei;Nan Yang;Ming Zhou

  • Aspect Level Sentiment Classification with Deep Memory Network

    Duyu Tang;Bing Qin;Ting Liu

  • Effective LSTMs for Target-Dependent Sentiment Classification

    Duyu Tang;Bing Qin;Xiaocheng Feng;Ting Liu

  • Deep learning for event-driven stock prediction

    Xiao Ding;Yue Zhang;Ting Liu;Junwen Duan

  • LTP: A Chinese Language Technology Platform

    Wanxiang Che;Zhenghua Li;Ting Liu

  • Attention-over-Attention Neural Networks for Reading Comprehension

    Yiming Cui;Zhipeng Chen;Si Wei;Shijin Wang

  • Learning Semantic Representations of Users and Products for Document Level Sentiment Classification

    Duyu Tang;Bing Qin;Ting Liu

  • Computer-aided writing system and method with cross-language writing wizard

    Ting Liu;Ming Zhou;Jian Wang

  • Sentiment Embeddings with Applications to Sentiment Analysis

    Duyu Tang;Furu Wei;Bing Qin;Nan Yang

  • Learning Semantic Hierarchies via Word Embeddings

    Ruiji Fu;Jiang Guo;Bing Qin;Wanxiang Che

  • Coooolll: A Deep Learning System for Twitter Sentiment Classification

    Duyu Tang;Furu Wei;Bing Qin;Ting Liu

  • Using Structured Events to Predict Stock Price Movement: An Empirical Investigation

    Xiao Ding;Yue Zhang;Ting Liu;Junwen Duan

  • A stack-propagation framework with token-level intent detection for spoken language understanding

    Libo Qin;Wanxiang Che;Yangming Li;Haoyang Wen

  • A language-independent neural network for event detection

    Xiaocheng Feng;Bing Qin;Ting Liu

  • A Language-Independent Neural Network for Event Detection.

    Xiaocheng Feng;Lifu Huang;Duyu Tang;Heng Ji

  • Color image encryption by using Arnold transform and color-blend operation in discrete cosine transform domains

    Zhengjun Liu;Lie Xu;Ting Liu;Hang Chen

  • Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach

    Duyu Tang;Furu Wei;Bing Qin;Ming Zhou

  • Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation

    Wanxiang Che;Yijia Liu;Yuxuan Wang;Bo Zheng

Frequent Co-Authors

Bing Qin
Bing Qin Harbin Institute of Technology
Wanxiang Che
Wanxiang Che Harbin Institute of Technology
Duyu Tang
Duyu Tang Fudan University
Haifeng Wang
Haifeng Wang Baidu (China)
Yue Zhang
Yue Zhang Westlake University
Furu Wei
Furu Wei Microsoft (United States)
Ming Zhou
Ming Zhou Langboat Technology
Meng Jiang
Meng Jiang University of Notre Dame
Laurie Beth Feldman
Laurie Beth Feldman University at Albany, State University of New York
Nan Duan
Nan Duan Microsoft Research Asia (China)

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