| 2022 | CoDIT | A Computationally Efficient Formulation for Traffic Signal Timing Optimization of an Isolated Intersection. | George Rosario Jagadeesh, Jielin Yang, Kien Ming Ng, Kim Leng Poh, Zhengyu Yang, Teck-Hou Teng, Zhibing Zhuo |
| 2016 | WSC | Managing egress of crowd during infrastructure disruption. | Teck-Hou Teng, Shih-Fen Cheng, Trong Nghia Truong, Hoong Chuin Lau |
| 2015 | IJCNN | A comparative study between motivated learning and reinforcement learning. | James T. Graham, Janusz A. Starzyk, Zhen Ni, Haibo He, Teck-Hou Teng, Ah-Hwee Tan |
| 2015 | IJCNN | Function approximation for large markov decision processes using self-organizing neural networks. | Teck-Hou Teng |
| 2014 | IJCNN | Integrating self-organizing neural network and Motivated Learning for coordinated multi-agent reinforcement learning in multi-stage stochastic game. | Teck-Hou Teng, Ah-Hwee Tan, Janusz A. Starzyk, Yuan-Sin Tan, Loo-Nin Teow |
| 2012 | FUSION | Adaptive CGF for pilots training in air combat simulation. | Teck-Hou Teng, Ah-Hwee Tan, Wee-Sze Ong, Kien-Lip Lee |
| 2012 | IJCNN | Self-organizing neural networks for learning air combat maneuvers. | Teck-Hou Teng, Ah-Hwee Tan, Yuan-Sin Tan, Adrian Yeo |
| 2008 | IJCNN | Self-organizing neural models integrating rules and reinforcement learning. | Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan |