Bing Liu

Bing Liu is a Distinguished Professor at the University of Illinois at Chicago (UIC) in the Department of Computer Science. He earned his Ph.D. in Artificial Intelligence from the University of Edinburgh and previously held a faculty position at the National University of Singapore (NUS) School of Computing. His research spans Sentiment Analysis, Lifelong Learning, Chatbot development, Natural Language Processing, Data Mining, and Machine Learning. Liu has made significant contributions to the field, exemplified by three Test-of-Time awards from SIGKDD and WSDM, and the prestigious ACM SIGKDD Innovation Award.

• Education
  • Ph.D. in Artificial Intelligence, University of Edinburgh
• Research Interests
  • Sentiment Analysis and Opinion Mining
  • Lifelong Machine Learning
  • Chatbot and Dialogue Systems
  • Web Data Mining
  • Knowledge Discovery
• Selected Publications (2025-2024 Trends)
  • Focus on Continual Learning and Open-world Classification with techniques like Kernel-based Adaptation, Neuro-Symbolic Systems, and Multi-Modal Pre-training.
  • Explores Health Coaching Dialogues using Neuro-Symbolic Goal Summarization and Text Generation in low-resource settings.
  • Advances in Length Generalization for reasoning systems and Class Incremental Learning via likelihood ratio prediction.
• Scientific Leadership
  • Chair of ACM SIGKDD (2013-2017)
  • Program Chair for KDD, ICDM, WSDM, and other key conferences
  • Associate Editor for leading journals like TKDE, TWEB, and DMKD
  • Fellow of ACM, AAAI, and IEEE
• Books Authored
  • Lifelong Machine Learning (Morgan & Claypool, 2018)
  • Sentiment Analysis (Cambridge, 2015)
  • Web Data Mining (Springer, 2011)