About Me

I am a Ph.D. student in the School of Electrical Engineering and Computer Science at Oregon State University. My major advisor is Prof. Alan Fern. Before coming to OSU, I got my Bachelor's and Master's degrees in Computer Science from University of Science and Technology of China (USTC) . I was also a research intern at Microsoft Research Cambridge in summer 2008.

Research

My primary research interests are in the field of machine learning, where I focus on learning effective control knowledge to speed up AI planning and search systems.

Publications

• Yuehua Xu, Alan Fern and Sungwook Yoon (2009). Learning Linear Ranking Functions for Beam Search with Application to Planning. Journal of Machine Learning Research (JMLR), 10: 1571-1610, 2009. [PDF]
  
  
• Yuehua Xu, Alan Fern and Sungwook Yoon (2009). Learning Weighted Rule Sets for Forward Search Planning. Workshop on Planning and Learning, ICAPS-2009. [PDF]
  
  
• Yuehua Xu, David Stern and Horst Samulowitz (2009). Learning Adaptation to Solve Constraint Problems. Learning and Intelligent OptimizatioN(LION-2009). [PDF]
  
  
• Yuehua Xu and Alan Fern (2007). On Learning Linear Ranking Functions for Beam Search. The Twenty-Fourth International Conference on Machine Learning (ICML-2007). [PDF]
  
  
• Yuehua Xu, Alan Fern and Sungwook Yoon (2007). Discriminative Learning of Beam-Search Heuristics for Planning. The Twentieth International Joint Conference on Artificial Intelligence (IJCAI-2007). [PDF]
  
  
• Yuehua Xu and Alan Fern (2006). Toward Discriminative Learning of Planning Heuristics. Workshop on Learning for Search, AAAI-2006.
  
  
• Yuehua Xu, Jinlong Li, Enhong Chen, and Xufa Wang (2004). A Novel SVM Based Relevance Feedback Algorithm in Image Retrieval. Journal of Computer Engineering. (in Chinese)
  
  

Teaching

• Spring 2007:  Teaching assistant for CS534: Machine Learning with Prof. Alan Fern
• Spring 2005:  Teaching assistant for CS411: Operating System II with Paul Paulson
• Winter 2005 & Fall 2004:  Teaching assistant for CS311: Operating System I with Christine Wallace

Courses

• Artificial Intelligence:
  CS531: Artificial Intelligence; CS532: Advanced Artificial Intelligence; CS533: Intelligent Agents and Decision Making; CS534: Machine Learning;
• Statistics:
  ST561/ST562/ST563: Theory of Statistics; ST581: Linear Programming; ST583: Nonlinear Optimization;
• Theoretical Computer Science:
  CS515: Algorithms and Data Structures; CS516: Theory of Computation and Formal Languages; CS520: Graph Theory with Applications to Computer Science; CS521: Computability; CS527: Error-Correcting Codes
• Computer Graphics:
  CS550: Introduction to Computer Graphics; CS552: Computer Animation; CS553: Scientific Visualization;
• Others:
  CS561: Software Engineering; CS582: Object-Oriented Analysis and Programming

Resume

Links