Journal Papers

Shou-de Lin and Kevin Knight, Discovering the linear writing order of a two-dimensional ancient hieroglyphic script, in Artificial Intelligence v.170/4-5, Elsevier, 2006. One of the Top 25 hottest papers in Artificial Intelligence in 2006.
Shou-de Lin and Craig Knoblock, SERGEANT: A Framework for Building More Flexible Web Agents by Exploiting a Search Engine, in Journal of Web Intelligence and Agent Systems, v3(1), 2005.
Shou-de Lin and Hans Chalupsky, Using Unsupervised Link Discovery Methods to Find Interesting Facts and Connections in a Bibliography Dataset, selected to be the 2nd place for the open task in ACM KDDCup 2003, in KDD Explorations V5 Issue 2.
Michael P. Wellman, Peter R. Wurman, Kevin O'Malley, Roshan Bangera, Shou-de Lin, Daniel Reeves, and William E. Walsh, Designing the Market Game for a Trading Agent Competition, IEEE Internet Computing, 2001.

Conference Papers

Shou-de Lin, Interesting Instance Discovery in Multi-relational Data, in Proceedings of AAAI04 (Doctoral Consortium), San Jose.
Shou-de Lin and Hans Chalupsky, Issues of Verification for Unsupervised Discovery Systems, KDD04 Workshop on Link Discovery.
Shou-de Lin and Craig Knoblock, Exploiting a Search Engine to Develop More Flexible Web Agents, in Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence (WI 2003), Halifax, Canada. (Best Paper Award)
Shou-de Lin and Hans Chalupsky, Unsupervised Link Discovery in Multi-relational Data via Rarity Analysis, in Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM'03).

Shou-de Lin, Modelling, Searching and Explaining Interesting Instances in Multi-Relational Network, Ph.D. dissertation, 2006.
Shou-de Lin, Generating natural language description for paths in the semantic network, master final project report, USC Linguistics Department, 2006.