Brief Introduction

BING QIN, Female, Second-Class Professor, Tenured Professor, and Doctoral Supervisor at Harbin Institute of Technology (HIT). Director of the Social Computing and Interactive Robotics Center at HIT, and Deputy Director of the Natural Language Processing Institute. Executive Council Member of the Chinese Information Processing Society of China (CIPS)/Director of the Sentiment Computing Committee/Deputy Director of the Language and Knowledge Computing Committee, Council Member of the Chinese Association for Artificial Intelligence (CAAI)/Deputy Director of the Sentiment Intelligence Committee, Expert Member of the National Key R&D Program Management Expert Group for "New Generation Artificial Intelligence" under the Ministry of Science and Technology, and Review Expert for the National Natural Science Foundation of China (NSFC).

Has led multiple research projects, including: NSFC Key Projects, Sub-projects of the Ministry of Science and Technology's Key R&D Program, NSFC General Projects, Ministry of Education Doctoral Program Fund (Supervisor Category), and Industry collaboration projects.

Research Areas: Artificial Intelligence, Natural Language Processing, Knowledge Graphs, Affective Computing, Large Language Models, and related technologies. Served as General Chair, Program Committee Chair, and Area Chair for numerous prestigious international and domestic academic conferences. Published over 100 papers in renowned conferences and journals, with citations exceeding 25,000+ (Google Scholar, as of March 2025) and an H-index of 54.

Selected Honors

  • 🏆AI 2000 Most Influential Scholar and Global AI Women (2020)
  • 🏆Forbes Women in Tech List (2020)
  • 🏆World's Top 2% Scientists (2024, Stanford-Elsevier)
  • 🏆Elsevier Highly Cited Researcher (2020–2024, 5 consecutive years)
  • 🏆First Prize of Heilongjiang Provincial Science and Technology Progress Award
  • 🏆Second Prize of Heilongjiang Provincial Technology Invention Award
  • 🏆First Prize of Qian Weichang Chinese Information Processing Science and Technology Award
  • 🏆First Prize and Second Prize of Wu Wenjun Artificial Intelligence Science and Technology Award

Education Experience

  • Ph.D. in Computer Science Sep 1995 – Mar 2000

    School of Computer Science and Technology, Harbin Institute of Technology

  • M.S. in Computer Science Sep 1992 – Mar 1995

    School of Computer Science and Technology, Harbin Institute of Technology

  • B.S. in Electrical Engineering Sep 1986 – Jul 1990

    Department of Electrical Engineering, Harbin Institute of Technology

Research Interest

Artificial Intelligence (AI), Natural Language Processing (NLP), Large-scale Language Model Technology

Working Experience

  • Professor and PhD Supervisor Jun 2008–Present

    School of Computer Science and Technology, Harbin Institute of Technology

  • Associate Professor Jun 2001–Jun 2008

    School of Computer Science and Technology, Harbin Institute of Technology

  • Lecturer Mar 1995–Jun 2001

    School of Computer Science and Technology, Harbin Institute of Technology

  • Assistant Jul 1990–Aug 1992

    Department of Electrical Engineering, Harbin Institute of Technology

Academic Association

Academic Appointments

  • Standing Council Member, Chinese Information Processing Society of China (CIPS)
  • Chair, Sentiment Computing Technical Committee, Chinese Information Processing Society of China (CIPS)
  • Vice Chair, Language and Knowledge Computing Technical Committee, Chinese Information Processing Society of China (CIPS)
  • Council Member, Chinese Association for Artificial Intelligence (CAAI)
  • Vice Chair, Sentiment Intelligence Technical Committee, Chinese Association for Artificial Intelligence (CAAI)
  • Chair, Natural Language Processing Technical Committee, Heilongjiang Computer Society

Key Laboratory Appointments (Ministry of Education)

  • Deputy Director, Key Laboratory of Cognitive Intelligence and Content Security (MOE), Harbin Institute of Technology
  • Academic Committee Member, Key Laboratory of Language and Cultural Computing (MOE), Northwest Minzu University

Conference Leadership

General Chair

  • 18th China Conference on Knowledge Graph and Semantic Computing (CCKS) &13th International Joint Conference on Knowledge Graphs (IJCKG 2024)
  • 12th China National Conference on Social Media Processing (SMP 2024)
  • 22nd China National Conference on Computational Linguistics (CCL 2023)
  • 15th China Conference on Knowledge Graph and Semantic Computing (CCKS 2021)

Program Committee Chair

  • 13th China Conference on Knowledge Graph and Semantic Computing (CCKS 2019)
  • 6th China National Conference on Social Media Processing (SMP 2018)

Editorial & Peer Review

  • Associate Editor, IEEE Transactions on Big Data
  • Senior Area Chair / Area Chair, ACL, EMNLP, and other premier NLP conferences

Authored Textbooks & Translated Works

Authored Textbooks

  • Sentiment Computing Qin Bing, Zhao Yanyan, Lin Hongfei, Wang Suge, Xu Ruifeng China Machine Press, May 2024
  • Sentiment Dialogue Systems Zhao Yanyan, Qin Bing, Liu Ting Posts & Telecom Press, October 2022
  • Natural Language Processing Liu Ting, Qin Bing, Zhao Jun, Huang Xuanjing, Che Wanxiang Higher Education Press, December 2021
  • Introduction to Information Retrieval Systems Liu Ting, Qin Bing, Zhang Yu, Che Wanxiang China Machine Press, October 2008

Translated Works

  • Search Engines: Information Retrieval in Practice Translated by Liu Ting, Qin Bing, Zhang Yu, Che Wanxiang (Original: Croft, Metzler & Strohman) China Machine Press, September 2010
  • Social Media Mining Translated by Liu Ting, Qin Bing, Zhao Yanyan (Original: Zafarani, Abbasi & Liu) Posts & Telecom Press, November 2015

Research Grants (PI)

I. National Natural Science Foundation of China (NSFC)

  • Key Special Project (62441614) Jan 2025 – Dec 2026 | 2.34 million CNY

    Sentiment-Cognitive Alignment in Large Language Models

  • Key Project (U22B2059) Jan 2023 – Dec 2026 | 2.58 million CNY

    Explainable Knowledge Graph Reasoning via Multimodal Knowledge Fusion

  • Key Project (61632011) Jan 2017 – Dec 2021 | 3.18 million CNY

    Theories and Methods for Sentiment Semantic Computing in Social Media Texts

  • General Program (61976073) Jan 2020 – Dec 2023 | 610,000 CNY

    Automatic Construction of Large-scale Knowledge Bases from Cross-lingual Data

  • General Program (61273321) Jan 2013 – Dec 2016 | 810,000 CNY

    Open-domain Dynamic Factual Information Acquisition and Fusion

  • General Program (60975055) Jan 2010 – Dec 2012 | 300,000 CNY

    Coreference Resolution via Dynamic Instance Generalization

  • General Program (60675034) Jan 2007 – Dec 2009 | 240,000 CNY

    Chinese Semantic Role Labeling Methodology

II. National Key R&D Programs

  • Key Project (2018YFB1005103) May 2019 – Apr 2022 | 7.82 million CNY

    Text Generation and Complex Linguistic Problem Solving Systems

  • Project (2015AA015407) Jan 2015 – Dec 2017 | 7.18 million CNY

    Linguistic Problem Solving and Answer Generation Systems

  • Project (2008AA01Z144) Jan 2008 – Dec 2010 | 730,000 CNY

    Entity-Relation Based Text Mining and Integration Platform

Awards

Academic Awards

  • 2024 First-Class Prize, Heilongjiang Provincial Science and Technology Progress Award Rank: 2/11
  • 2024 First-Class Prize, Wu Wenjun Artificial Intelligence Science and Technology Progress Award Rank: 3/10
  • 2020 Second-Class Prize, Wu Wenjun Artificial Intelligence Science and Technology Progress Award Rank: 4/10
  • 2019 Second-Class Prize, Heilongjiang Provincial Science and Technology Progress Award Rank: 1/9
  • 2016 First-Class Prize, Heilongjiang Provincial Science and Technology Progress Award Rank: 4/11
  • 2012 Second-Class Prize, Heilongjiang Provincial Science and Technology Progress Award Rank: 4/9
  • 2010 First-Class Prize, Qian Weichang Chinese Information Processing Science and Technology Award (CIPS) Rank: 4/9

Publication Awards

  • 2024 ACL 2024 Outstanding Paper Reward
  • 2024 COLING 2024 Best Paper Candidate Reward（Top 10/1552）
  • 2024 CCKS-IJCKG 2024 Best English Paper Reward
  • 2023 CCKS 2023 Best English Paper Reward
  • 2021 CCL 2021 Best English Paper Reward
  • 2019 CCIR 2019 Best Paper Reward

Selected Representative Publications (Last 5 Years)

2025

  • Exploring & exploiting high-order graph structure for sparse knowledge graph completion. Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Bing Qin. Frontiers Comput. Sci. 19(2): 192306 (2025)
  • x-ECON: Explainable Event-Consumption Commonsense Reasoning. Xiao Ding, Bibo Cai, Xue Li, Ting Liu, Bing Qin. IEEE Trans. Big Data 11(3): 1066-1077 (2025)
  • Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese. Haochun Wang, Sendong Zhao, Zewen Qiang, Zijian Li, Chi Liu, Nuwa Xi, Yanrui Du, Bing Qin, Ting Liu. ACM Trans. Knowl. Discov. Data 19(2): 53:1-53:17 (2025)
  • A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions. Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu. ACM Trans. Inf. Syst. 43(2): 42:1-42:55 (2025)
  • Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning. Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Baohang Li, Yangfan Ye, Zhirui Zhang, Dandan Tu, Duyu Tang, Yunfei Lu, Hui Wang, Bing Qin. AAAI 2025: 24185-24193
  • Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis. Weitao Ma, Xiaocheng Feng, Weihong Zhong, Lei Huang, Yangfan Ye, Xiachong Feng, Bing Qin. COLING 2025: 5345-5363
  • Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs. Bichen Wang, Yuzhe Zi, Yixin Sun, Yanyan Zhao, Bing Qin. NAACL (Long Papers) 2025: 1306-1321
  • Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs. Weixiang Zhao, Yulin Hu, Yang Deng, Jiahe Guo, Xingyu Sui, Xinyang Han, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu. ACL (2025)

2024

  • Causal-Guided Active Learning for Debiasing Large Language Models. Zhouhao Sun, Li Du, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin. ACL 2024 🏆 Outstanding Paper
  • Navigate through Enigmatic Labyrinth. A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu. ACL 2024
  • TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models. Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin. ACL 2024
  • BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering. Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin. ACL 2024
  • Planning Like Human: A Dual-process Framework for Dialogue Planning. Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin. ACL 2024
  • GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension. Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin. IJCAI 2024
  • Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition. Zihao Zheng, Zihan Zhang, Zexin Wang, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin. LREC-COLING 2024 🏅 Best Paper Candidate (Top 10)
  • From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery. Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin. AAAI 2024, Vol. 38, No. 20

2023

  • TOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training. Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin. AAAI 2023: 3715-3723
  • Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment. Weixiang Zhao, Yanyan Zhao, Zhuojun Li, Bing Qin. AAAI 2023: 14020-14028
  • Towards Higher Pareto Frontier in Multilingual Machine Translation. Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin. ACL (1) 2023: 3802-3818
  • Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Bing Qin. IJCAI 2023: 5039-5048
  • A Topic-Enhanced Approach for Emotion Distribution Forecasting in Conversations. Xin Lu, Weixiang Zhao, Yanyan Zhao, Bing Qin, Zhentao Zhang, Junjie Wen. ICASSP 2023: 1-5

2022

  • Biomedical evidence engineering for data-driven discovery. Sendong Zhao, Aobo Wang, Bing Qin, Fei Wang. Bioinform. 38(23): 5270-5278 (2022)
  • Transforming Wikipedia Into Augmented Data for Query-Focused Summarization. Haichao Zhu, Li Dong, Furu Wei, Bing Qin, Ting Liu. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2357-2367 (2022)
  • Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic. Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang. AAAI (2022)
  • MSAMSum: Towards Benchmarking Multi-lingual Dialogue Summarization. Xiachong Feng, Xiaocheng Feng, Bing Qin. DialDoc@ACL 2022: 1-12
  • MuCDN: Mutual Conversational Detachment Network for Emotion Recognition in Multi-Party Conversations. Weixiang Zhao, Yanyan Zhao, Bing Qin. COLING 2022: 7020-7030

2021

  • Modeling Incongruity between Modalities for Multimodal Sarcasm Detection. Yang Wu, Yanyan Zhao, Xin Lu, Bing Qin, Yin Wu, Jian Sheng, Jinlong Li. IEEE Multim. 28(2): 86-95 (2021)
  • Biomedical Knowledge Graphs Construction From Conditional Statements. Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 823-835 (2021)
  • Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu. ACL/IJCNLP (1) 2021: 1479-1491
  • Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization. Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng, Ting Liu. AAAI (2021)
  • Learning to Rewrite for Non-Autoregressive Neural Machine Translation. Xinwei Geng, Xiaocheng Feng, Bing Qin. EMNLP (1) 2021: 3297-3308