郭海鹏博士

电子工程学士学位, 南昌航空技术学院

计算机集成制造硕士学位, 北京航空航天大学

计算机博士学位, 美国堪萨斯州州立大学

研究领域

   人工智能，贝叶斯网络，计算复杂性，NP-hard 优化问题

部分发表文章

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 in
   Computer 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.
7. Haipeng Guo, William H. Hsu: GA-Hardness Revisited. GECCO 2003: p. 1584.