2026 Bing Qin: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	46	6652	6460	894	888	237	19455

Overview

Bing Qin is a researcher affiliated with the Harbin Institute of Technology in China, specializing in computer science with a strong focus on artificial intelligence. Their body of work covers diverse subfields including artificial intelligence, computer vision and pattern recognition, cognitive neuroscience, molecular biology, and information systems.

Their research contributions span several principal topics such as topic modeling, natural language processing techniques, sentiment analysis and opinion mining, multimodal machine learning applications, advanced text analysis techniques, advanced graph neural networks, and text and document classification technologies.

Bing Qin has published extensively, with recent notable papers including the following:

"A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions" (2024), published in ACM Transactions on Information Systems
"CodeBERT: A Pre-Trained Model for Programming and Natural Languages" (2020), published on arXiv (Cornell University)
"HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge" (2023), published on arXiv (Cornell University)
"The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey" (2021), published on arXiv (Cornell University)
"Development of Polymer Composites in Radiation Shielding Applications: A Review" (2023), published in Journal of Inorganic and Organometallic Polymers and Materials

Bing Qin frequently collaborates with other researchers, including Xiaocheng Feng, Sendong Zhao, Yanyan Zhao, Ting Liu, and Xiachong Feng. These collaborations have resulted in numerous joint publications and research output.

Their work is regularly disseminated through a number of academic venues, mostly in:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
International Journal of Machine Learning and Cybernetics
SSRN Electronic Journal
IEEE/ACM Transactions on Audio Speech and Language Processing

Within the field of computer science, Bing Qin has authored over 380 publications, with more than 320 of these focused on artificial intelligence. Their research spans theoretical and practical aspects of AI, including language models, summarization, and multimodal machine learning.

Best Publications

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

Zhangyin Feng;Daya Guo;Duyu Tang;Nan Duan

2399
Citations
SemEval-2016 task 5 : aspect based sentiment analysis

Maria Pontiki;Dimitris Galanis;Haris Papageorgiou;Ion Androutsopoulos

2202
Citations
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification

Duyu Tang;Bing Qin;Ting Liu

1816
Citations
Pre-Training with Whole Word Masking for Chinese BERT

Yiming Cui;Wanxiang Che;Ting Liu;Bing Qin

1552
Citations
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

Duyu Tang;Furu Wei;Nan Yang;Ming Zhou

1519
Citations
Aspect Level Sentiment Classification with Deep Memory Network

Duyu Tang;Bing Qin;Ting Liu

1057
Citations
Revisiting Pre-Trained Models for Chinese Natural Language Processing

Yiming Cui;Wanxiang Che;Ting Liu;Bing Qin

1052
Citations
Effective LSTMs for Target-Dependent Sentiment Classification

Duyu Tang;Bing Qin;Xiaocheng Feng;Ting Liu

836
Citations
Learning Semantic Representations of Users and Products for Document Level Sentiment Classification

Duyu Tang;Bing Qin;Ting Liu

395
Citations
Sentiment Embeddings with Applications to Sentiment Analysis

Duyu Tang;Furu Wei;Bing Qin;Nan Yang

342
Citations
Learning Semantic Hierarchies via Word Embeddings

Ruiji Fu;Jiang Guo;Bing Qin;Wanxiang Che

324
Citations
Coooolll: A Deep Learning System for Twitter Sentiment Classification

Duyu Tang;Furu Wei;Bing Qin;Ting Liu

323
Citations
A language-independent neural network for event detection

Xiaocheng Feng;Bing Qin;Ting Liu

265
Citations
A Language-Independent Neural Network for Event Detection.

Xiaocheng Feng;Lifu Huang;Duyu Tang;Heng Ji

256
Citations
Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach

Duyu Tang;Furu Wei;Bing Qin;Ming Zhou

228
Citations
Deep learning for sentiment analysis: successful approaches and future challenges

Duyu Tang;Bing Qin;Ting Liu

210
Citations
User modeling with neural network for review rating prediction

Duyu Tang;Bing Qin;Ting Liu;Yuekui Yang

178
Citations
Document representation and feature combination for deceptive spam review detection

Luyang Li;Bing Qin;Wenjing Ren;Ting Liu

168
Citations
Target-Dependent Sentiment Classification with Long Short Term Memory.

Duyu Tang;Bing Qin;Xiaocheng Feng;Ting Liu

140
Citations
Effective Deep Memory Networks for Distant Supervised Relation Extraction

Xiaocheng Feng;Jiang Guo;Bing Qin;Ting Liu

116
Citations

Frequent Co-Authors

Ting Liu Harbin Institute of Technology

Duyu Tang Fudan University

Wanxiang Che Harbin Institute of Technology

Ming Zhou Langboat Technology

Nan Duan Microsoft Research Asia (China)

Meng Jiang University of Notre Dame

Furu Wei Microsoft (United States)

Min-Yen Kan National University of Singapore

Nitesh V. Chawla University of Notre Dame

Li Dong Microsoft (United States)

External Links

Personal website of Bing Qin

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