James Foulds (Jimmy)

PhD Candidate
Department of Computer Science
Bren School of Information and Computer Sciences
University of California, Irvine
CA 92697-3435
USA

Email: jfoulds at ics dot uci dot edu 		Picture of James

About Me

I am a PhD candidate at UCI, in Padhraic Smyth's DataLab research group. I work in the area of statistical machine learning. My primary research focus is currently statistical latent variable models for network data. Click here to see my resume (or email for a more up to date version).

Research Interests

Network modeling, latent variable models, Bayesian nonparametrics, generative models, supervised machine learning/data mining, multi-instance learning, cognitive robot mapping, operations research, artificial intelligence for the game of Go.

Refereed Publications

  • C. DuBois, J. R. Foulds, P. Smyth. Latent Set Models for Two-Mode Network Data. Proceedings of the 5th International AAAI Conference on Weblogs and Social Media (ICWSM), 2011, to appear.
  • J. R. Foulds, A. Asuncion, C. DuBois, C. T. Butts, P. Smyth. A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks. Proceedings of the 14th International Conference on AI and Statistics (AI Stats), April 2011.
  • J. R. Foulds, N. Navaroli, P. Smyth, A. Ihler. Revisiting MAP Estimation, Message Passing and Perfect Graphs. Proceedings of the 14th International Conference on AI and Statistics (AI Stats), April 2011.
  • J. R. Foulds and P. Smyth. Multi-instance mixture models and semi-supervised learning. SIAM International Conference on Data Mining, April 2011.
  • J. R. Foulds and E. Frank. Speeding up and boosting diverse density learning. In Proc 13th International Conference on Discovery Science, pages 102-116. Springer, 2010.
  • J. R. Foulds and E. Frank. A review of multi-instance learning assumptions. Knowledge Engineering Review, 25(1):1-25, 2010.
  • J. R. Foulds and E. Frank. Revisiting multiple-instance learning via embedded instance selection. In Proc 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand. Springer, 2008.
  • J. R. Foulds and L. R. Foulds, A probabilistic dynamic programming model of rape seed harvesting. International Journal of Operational Research 2006, Vol. 1, No. 4, 2006.
  • J. R. Foulds and L. R. Foulds, Bridge Lane Direction Specification for Sustainable Traffic Management. Asia-Pacific Journal of Operational Research, Vol. 23, No. 2, 2006.

    • Theses

  • J. R. Foulds, Learning Instance Weights in Multi-Instance Learning. MSc Thesis, Department of Computer Science, University of Waikato, Hamilton, New Zealand, 2008.
  • J. R. Foulds, Learning to play the game of go. Honours Thesis, Department of Computer Science, University of Waikato, Hamilton, New Zealand, 2006.

    • Reviewing

    TKDE, CAMWA

    Software

  • At the behest of the University of Waikato Department of Mathematics, I created Tuatara Turing Machine Simulator , a graphical Turing machine simulator and construction tool for teaching purposes.
  • I also worked on the GUI for the Boundary Visualizer, a classification visualization tool in WEKA , a popular java open source data mining toolkit developed at the University of Waikato.

    Other Interests

  • I am a member of the Korean drumming group Hansori
  • I was a performing member of the Japanese taiko drumming group Waitaiko .
  • I played guitar in the (now disbanded) rock group 4 Second Fuse.
  • In 2007-2008, I was part of the problem reviewing/writing team for the ACM South Pacific Programming Contest.
  • For a number of years, I was involved with the executive committee of the Waikato ACM Student Chapter .

    • Trivia

    My Erdös number is three (James R. Foulds - Leslie R. Foulds - Robert W. Robinson - Paul Erdös).