USC Information Sciences Institute
Selected Publications


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 id_2011unfolded.gif 2011 (11)
Dynamics of Behavior in a Network Game. Kim, E.; Chi, L.; Maheswaran, R.; and Chang, Y. 2011. In IEEE Social Computation Conference.
Dynamics of Behavior in a Network Game [PDF]Dynamics of Behavior in a Network Game Dynamics of Behavior in a Network Game [bib]Bibtex    
Learning and Evaluating Human-Like NPC Behaviors in Dynamic Games. Chang, Y.; Levinboim, T.; Rajan, V.; and Maheswaran, R. 2011. In Artificial Intelligence and Interactive Digital Entertainment (AIIDE).
Learning and Evaluating Human-Like NPC Behaviors in Dynamic Games [PDF]Learning and Evaluating Human-Like NPC Behaviors in Dynamic Games Learning and Evaluating Human-Like NPC Behaviors in Dynamic Games [bib]Bibtex    
The Social Ultimatum Game. Chang, Y., and Maheswaran, R. 2011. In Best Demonstration Award. Autonomous Agents and Multi-Agent Systems.
The Social Ultimatum Game [bib]Bibtex
Towards Models of Mentoring Dialogue within a Teacher Networking Site. Kim, J.; Chang, Y.; Cai, S.; and Dhupar, S. 2011. In AIED (AI in Education).
Towards Models of Mentoring Dialogue within a Teacher Networking Site [PDF]Towards Models of Mentoring Dialogue within a Teacher Networking Site Towards Models of Mentoring Dialogue within a Teacher Networking Site [bib]Bibtex    
The Social Ultimatum Game. Chang, Y., and Maheswaran, R. 2011. In Book Chapter, Decision Making with Imperfect Decision Makers.
The Social Ultimatum Game [PDF]The Social Ultimatum Game The Social Ultimatum Game [bib]Bibtex    
Learning and Evaluating Realistic Behavior in a Bargaining Game. Chang, Y., and Maheswaran, R. 2011. In Workshop on Agent-Based Complex Automated Negotiations.
Learning and Evaluating Realistic Behavior in a Bargaining Game [bib]Bibtex
Smart Sensing, Estimation, and Prediction for Efficient Building Energy Management. Mamidi, S.; Maheswaran, R.; and Chang, Y. 2011. In Multi-agent Smart Computing Workshop.
Smart Sensing, Estimation, and Prediction for Efficient Building Energy Management [PDF]Smart Sensing, Estimation, and Prediction for Efficient Building Energy Management Smart Sensing, Estimation, and Prediction for Efficient Building Energy Management [bib]Bibtex    
Learning a Skill Teaching Curriculum Using Dynamic Bayesian Networks. Green, D.; Walsh, T.; Cohen, P.; and Chang, Y. 2011. In IAAI (Innovative Applications of Artificial Intelligence).
Learning a Skill Teaching Curriculum Using Dynamic Bayesian Networks [PDF]Learning a Skill Teaching Curriculum Using Dynamic Bayesian Networks Learning a Skill Teaching Curriculum Using Dynamic Bayesian Networks [bib]Bibtex    
Gender Differences and the Value of Choice in Intelligent Tutoring Systems. Green, D.; Walsh, T.; Cohen, P.; Beal, C.; and Chang, Y. 2011. In UMAP (User Modeling, Adaptation, and Personalization).
Gender Differences and the Value of Choice in Intelligent Tutoring Systems [PDF]Gender Differences and the Value of Choice in Intelligent Tutoring Systems Gender Differences and the Value of Choice in Intelligent Tutoring Systems [bib]Bibtex    
Learning to Model Irrationality in the Social Ultimatum Game. Chang, Y., and Maheswaran, R. 2011. In HSCB (Human Social Culture Behavior) Modeling, Focus 2011 Conference.
Learning to Model Irrationality in the Social Ultimatum Game [bib]Bibtex
Learning Models and Metrics for Human-Like Behavior in a Dynamic Network Game. Chang, Y., and Maheswaran, R. 2011. In Workshop on Adaptive Learning Agents.
Learning Models and Metrics for Human-Like Behavior in a Dynamic Network Game [bib]Bibtex
 id_2010unfolded.gif 2010 (1)
The Social Ultimatum Game. Chang, Y.; Maheswaran, R.; and Levinboim, T. 2010. In NIPS Workshop on Decision Making with Imperfect Decision Makers.
The Social Ultimatum Game [bib]Bibtex
 id_2009unfolded.gif 2009 (1)
Probabilistic Fluent Graphs. Chang, Y., and Cohen, P. 2009. In Technical Report.
Probabilistic Fluent Graphs [bib]Bibtex
 id_2008unfolded.gif 2008 (1)
Learning and Playing in Wubble World. Kerr, W.; Cohen, P.; and Chang, Y. 2008. In Artificial Intelligence and Interactive Digital Entertainment (AIIDE).
Learning and Playing in Wubble World [PDF]Learning and Playing in Wubble World Learning and Playing in Wubble World [bib]Bibtex    
 id_2007unfolded.gif 2007 (4)
Learning and Transferring Image Schemas. Cohen, P.; Chang, Y.; and Beal, C. 2007. In International Joint Conference on Artificial Intelligence (IJCAI).
Learning and Transferring Image Schemas [PDF]Learning and Transferring Image Schemas Learning and Transferring Image Schemas [bib]Bibtex    
Learning in Wubble World. Kerr, W.; Hoversten, S.; Hewlett, D.; Cohen, P. R.; and Chang, Y. 2007. In International Conference on Development and Learning (ICDL).
Learning in Wubble World [PDF]Learning in Wubble World Learning in Wubble World [bib]Bibtex    
No Regrets About No-Regret. Chang, Y. 2007. Artificial Intelligence, 171(7):.
No Regrets About No-Regret [PDF]No Regrets About No-Regret No Regrets About No-Regret [bib]Bibtex    
Wubble World. Hewlett, D.; Hoversten, S.; Kerr, W.; Cohen, P.; and Chang, Y. 2007. In Proceedings of the Third Artificial Intelligence for Interactive Digital Entertainment Conference, June.
Wubble World [PDF]Wubble World Wubble World [bib]Bibtex    
 id_2006unfolded.gif 2006 (5)
Experimental State Splitting for Transfer Learning. Morrison, C.; Chang, Y.; Cohen, P.; and Moody, J. 2006. In ICML 2006 Workshop on Structural Knowledge Transfer for Machine Learning.
Experimental State Splitting for Transfer Learning [PDF]Experimental State Splitting for Transfer Learning Experimental State Splitting for Transfer Learning [bib]Bibtex    
An Image Schema Language. Amant, R. S.; Morrison, C.; Chang, Y.; Mu, W.; Cohen, P.; and Beal, C. 2006. In Proceedings of the International Conference on Cognitive Modelling (ICCM 2006).
An Image Schema Language [PDF]An Image Schema Language An Image Schema Language [bib]Bibtex    
The Jean System. Chang, Y.; Morrison, C.; Kerr, W.; Cohen, P.; and Amant, R. S. 2006. In International Conference on Development and Learning.
The Jean System [PDF]The Jean System The Jean System [bib]Bibtex    
Piagetian Adaptation Meets Image Schemas: The Jean System. Chang, Y.; Cohen, P.; Morrison, C.; and Amant, R. S. 2006. In Proceedings of the Ninth International Conference on the Simulation of Adaptive Behavior (SAB).
Piagetian Adaptation Meets Image Schemas: The Jean System [PDF]Piagetian Adaptation Meets Image Schemas: The Jean System Piagetian Adaptation Meets Image Schemas: The Jean System [bib]Bibtex    
On Constructive Network Coding for Multiple Unicasts. Ho, T. C.; Chang, Y.; and Han, K. J. 2006. In Allerton Conference on Communication, Control, and Computing.
On Constructive Network Coding for Multiple Unicasts [PDF]On Constructive Network Coding for Multiple Unicasts On Constructive Network Coding for Multiple Unicasts [bib]Bibtex    
 id_2005unfolded.gif 2005 (2)
Hedged learning: Regret minimization with learning experts. Chang, Y., and Kaelbling, L. P. 2005. In International Conference on Machine Learning (ICML).
Hedged learning: Regret minimization with learning experts [PDF]Hedged learning: Regret minimization with learning experts Hedged learning: Regret minimization with learning experts [bib]Bibtex    
Network monitoring in multicast networks using network coding. Ho, T. C.; Leong, B.; Chang, Y.; Wen, Y.; and Koetter, R. 2005. In ISIT (International Symposium on Information Theory).
Network monitoring in multicast networks using network coding [PDF]Network monitoring in multicast networks using network coding Network monitoring in multicast networks using network coding [bib]Bibtex    
 id_2004unfolded.gif 2004 (2)
A reinforcement learning approach to mobilized ad-hoc networks. Chang, Y.; Ho, T.; and Kaelbling, L. 2004. In ICAC (International Conference on Autonomic Computing).
A reinforcement learning approach to mobilized ad-hoc networks [PDF]A reinforcement learning approach to mobilized ad-hoc networks A reinforcement learning approach to mobilized ad-hoc networks [bib]Bibtex    
On the utility of network coding in dynamic environments. Ho, T.; Leong, B.; Medard, M.; Koetter, R.; Chang, Y.; and Effros, M. 2004. In IWWAN (International Workshop on Wireless Adhoc Networks).
On the utility of network coding in dynamic environments [PDF]On the utility of network coding in dynamic environments On the utility of network coding in dynamic environments [bib]Bibtex    
 id_2003unfolded.gif 2003 (2)
Text Bundling: Statistics-Based Data Reduction. Shih, K.; Rennie, J.; Chang, Y.; and Karger, D. 2003. In International Conference on Machine Learning.
Text Bundling: Statistics-Based Data Reduction [PDF]Text Bundling: Statistics-Based Data Reduction Text Bundling: Statistics-Based Data Reduction [bib]Bibtex    
All learning is local: Multi-agent learning in global reward games. Chang, Y.; Ho, T.; and Kaelbling, L. 2003. In NIPS (Advances in Neural Information Processing Systems).
All learning is local: Multi-agent learning in global reward games [PDF]All learning is local: Multi-agent learning in global reward games All learning is local: Multi-agent learning in global reward games [bib]Bibtex    
 id_2002unfolded.gif 2002 (1)
Not Too Hot, Not Too Cold: The Bundled-SVM is Just Right!. Shih, K.; Chang, Y.; Rennie, J.; and Karger, D. 2002. In ICML '02 Text Workshop.
Not Too Hot, Not Too Cold: The Bundled-SVM is Just Right! [PDF]Not Too Hot, Not Too Cold: The Bundled-SVM is Just Right! Not Too Hot, Not Too Cold: The Bundled-SVM is Just Right! [bib]Bibtex    
 id_2001unfolded.gif 2001 (1)
Playing is believing: The role of beliefs in multi-agent learning. Chang, Y., and Kaelbling, L. P. 2001. In Advances in Neural Information Processing Systems.
Playing is believing: The role of beliefs in multi-agent learning [PDF]Playing is believing: The role of beliefs in multi-agent learning Playing is believing: The role of beliefs in multi-agent learning [bib]Bibtex    
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