Position: Professor, Computer Science and Technology
Email: hpguo@uic.edu.hk

Academic & Professional Qualifications
  • Ph.D. Kansas State University
  • M.Sc. Beihang University
  • B.Sc. Nanchang Hangkong University
Research Areas
  • AI
  • Bayesian networks
  • Computational complexity
  • NP-hard optimization
Selected Publications
  1. An Introduction to Bayesian Networks (in Chinese). Nevin Zhang & Haipeng Guo. The Science Press, Beijing, 2006.
  2. A Machine Learning Approach to Algorithm Selection for NP-hard Optimization Problems: A Case Study on the MPE Problem. H. Guo and W. Hsu. Annals of Operations Research, Special Issue on "STOCHASTIC SEARCH ALGORITHMS", 2006. To appear.
  3. On Multifractal Property of the Joint Probability Distributions and Its Application to Bayesian Network Inference. H. Guo and W. Hsu. The 7th Asia-Pacific Conference on Complex Systems, Dec. 2004
  4. A Learning-Based Algorithm Selection Meta-Reasoner for the Real-Time MPE Problem. Lecture Notes in Computer Science, Volume 3339 / 2004,17th Australian Joint Conference on Artificial Intelligence 2004: p. 307-318.
  5. An ACO Algorithm for the Most Probable Explanation Problem. Haipeng Guo, Prashanth R. Boddhireddy, William H. Hsu. Lecture Notes inComputer Science, Volume 3339 / 2004, Australian Conference on Artificial Intelligence 2004: p. 778-790.
  6. H. Guo. Algorithm Selection for Sorting and Probabilistic Inference: A Machine Learning-Based Approach. Ph.D. Thesis. Department of Computing and Information Sciences, Kansas State University. August, 2003.Haipeng Guo, William H. Hsu: GA-Hardness Revisited. GECCO 2003: p. 1584.
Courses Taught at UIC
  • The Power of Science and Technology
  • IT for Success in Everyday Life and Work