| 2019 | ICMLA | Asynchronous Multitask Reinforcement Learning with Dropout for Continuous Control. | Zilong Jiao, Jae C. Oh |
| 2019 | ICMLA | End-to-End Reinforcement Learning for Multi-agent Continuous Control. | Zilong Jiao, Jae C. Oh |
| 2018 | ICMLA | Deep Reinforcement Learning for Fairness in Distributed Robotic Multi-type Resource Allocation. | Qinyun Zhu, Jae C. Oh |
| 2016 | ICMLA | Learning Fairness under Constraints: A Decentralized Resource Allocation Game. | Qinyun Zhu, Jae C. Oh |
| 2016 | PRIMA | Heuristics on the Data-Collecting Robot Problem with Immediate Rewards. | Zhi Xing, Jae C. Oh |
| 2015 | ICAART | Using Coalitions with Stochastic Search to Solve Distributed Constraint Optimization Problems. | Nathaniel Gemelli, Jeffrey Hudack, Steven Loscalzo, Jae C. Oh |
| 2014 | ICAART | Modeling Self-interested Information Diffusion with Game Theory on Graphs. | Jeffrey Hudack, Nathaniel Gemelli, Jae C. Oh |
| 2014 | PRIMA | Estimating the Degrees of Neighboring Nodes in Online Social Networks. | JooYoung Lee, Jae C. Oh |
| 2014 | TrustCom | Convergence of True Cooperations in Bayesian Reputation Game. | JooYoung Lee, Jae C. Oh |
| 2013 | AAAI | Virtual Structure Reduction for Distributed Constraint Problem Solving. | Nathaniel Gemelli, Jeffrey Hudack, Jae C. Oh |
| 2013 | ICAART | Evolution of Cooperation in Packet Forwarding with the Random Waypoint Model. | Jeffrey Hudack, Nathaniel Gemelli, Jae C. Oh |
| 2012 | SIGCSE | An open co-op model for global enterprise technology education: integrating the internship and course work. | Jeffrey S. Saltz, Jae C. Oh |
| 2011 | ISADS | SWARM-eTOSSIM: A Simulator for Distributed Energy-Constrained Tiny Devices. | Mina Jung, Jae C. Oh |
| 2009 | GECCO | New entropy model for extraction of structural information from XCS population. | WonKyung Park, Jae C. Oh |
| 2007 | ECRTS | Thermal Faults Modeling Using a RC Model with an Application to Web Farms. | Alexandre Peixoto Ferreira, Daniel Moss, Jae C. Oh |
| 2006 | GECCO | An open-set speaker identification system using genetic learning classifier system. | WonKyung Park, Jae C. Oh, Misty K. Blowers, Matt B. Wolf |
| 2005 | GECCO | Text-independent open-set speaker identification for military missions using genetic rule-based system. | Jae C. Oh, Misty K. Blowers |
| 2005 | HIS | SWARMs of Self-Organizing Polymorphic Agents. | Derek Messie, Jae C. Oh |
| 2004 | CEC | Design of rationality-based computing middleware: a preliminary study. | Jae C. Oh, Dmitri E. Volper |
| 2004 | HIS | Cooperative Game Theory within Multi-Agent Systems for Systems Scheduling. | Derek Messie, Jae C. Oh |
| 2004 | HIS | A Rationality-Based Modeling for Coalition Support. | Jae C. Oh, Nathaniel Gemelli, Robert Wright |
| 2003 | CEC | Evolution of optimal compute server clusters for dynamic load-balancing systems. | Leland Hovey, Dmitri E. Volper, Jae C. Oh |
| 2003 | HIS | Adaptive Dymanic Load-balancing Through Evolutionary Formation of Coalitions. | Leland Hovey, Dmitri E. Volper, Jae C. Oh |
| 2001 | CEC | Cooperating search agents explore more than defecting search agents in the Internet information access. | Jae C. Oh |
| 2000 | CEC | Benefits of clustering among the Internet search agents caught in the n-person prisoner's dilemma game. | Jae C. Oh |
| 1999 | CEC | Ostracism for improving cooperation in the iterated prisoner's dilemma game. | Jae C. Oh |
| 1999 | SIGCSE | Teaching real time OSs with DORITOS. | Jae C. Oh, Daniel Moss |