Bing Qin
Also known as Qin Bing
Bing Qin is a professor at Harbin Institute of Technology whose AI research spans sentiment analysis and language models. She earned degrees in electrical engineering and computer science at HIT and advanced through assistant, lecturer, associate professor and professor roles. Her work includes a 2014 paper on sentiment-specific Twitter word embeddings, the 2020 CodeBERT model and surveys on hallucination, chain-of-thought reasoning and multimodal sentiment from 2023 to 2024. In 2025, she received a first-class Ministry of Education research-achievement award; as of October 2026, she directs HIT's Social Computing and Interactive Robotics Center.
- Works
- 399
- Citations
- 19,003
- h-index
- 48
- Badges
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
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1986–1990
Electrical engineering at HIT
She earns a B.S. in electrical engineering from HIT's Department of Electrical Engineering in 1990.
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1990–2001
Assistant and lecturer at HIT
She joins HIT's Department of Electrical Engineering as an assistant in 1990. In 1995, she becomes a lecturer at HIT's School of Computer Science and Technology and serves there through 2001.
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1992–2000
Graduate degrees at HIT
She earns an M.S. in computer science at HIT's School of Computer Science and Technology in 1995 and completes a Ph.D. in computer science there in 2000.
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2001–2008
Associate professor to professor
At HIT's School of Computer Science and Technology, she becomes an associate professor in 2001 and a professor and PhD supervisor in 2008.
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2014–2020
Sentiment and CodeBERT
In 2014, she coauthors “Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification,” a paper on word embeddings for Twitter sentiment classification. In 2020, she coauthors CodeBERT, a bimodal pre-trained model for programming language and natural language that learns representations for code search and documentation generation.
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2023–2024
Surveys of language models
In 2023, she coauthors a survey on hallucination in large language models that reviews contributing factors, detection methods, benchmarks and mitigation methods. In 2024, she coauthors a survey of chain-of-thought reasoning methods, challenges and future directions, and a survey of large language models for text-centric multimodal sentiment analysis.
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2025
A Ministry of Education prize
In 2025, she receives a first-class Ministry of Education Outstanding Scientific Research Achievements Award, with a rank of 3 of 15.
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As of October 2026
Professor and center director
At a January 2025 AI sub-forum hosted by HIT's Faculty of Computing, she serves as director of the Center for Social Computing and Information Retrieval. In March 2026, she serves on an expert panel reviewing the test plan for a national smart-education project on learner cognition and affective computing. As of October 2026, she is a professor and PhD supervisor at HIT's School of Computer Science and Technology and directs its Research Center for Social Computing and Interactive Robotics.
Career
- Since 1990Harbin Institute of TechnologyAssistant, Lecturer
- 2021–2024Nanjing University of Aeronautics and Astronautics
- 2019–2026Peng Cheng Laboratory
Education
- 2000Harbin Institute of TechnologyPh.D.
- 1995Harbin Institute of TechnologyM.S.
- 1990Harbin Institute of TechnologyB.S.
Sources and credits
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- BING QIN - Personal Homepage
- Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification - ACL Anthology
- CodeBERT: A Pre-Trained Model for Programming and Natural Languages - ACL Anthology
- A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
- Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future - ACL Anthology
- Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey
- The Faculty of Computing host the Artificial Intelligence Sub-forum of the first High-Quality Development Forum Summit of Science and Engineering Disciplines in 2025
- Test Plan Review Meeting Successfully Held for National Science and Technology Major Project - National Engineering Research Center for Educational Big Data


