Teck-Hou Teng

According to our database, Teck-Hou Teng authored at least 26 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

GAT-GAN : A Graph-Attention-based Time-Series Generative Adversarial Network.

Srikrishna Iyer, Teck-Hou Teng

CoRR, 2023

2022

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

Proceedings of the 8th International Conference on Control, 2022

2021

LassoLayer: Nonlinear Feature Selection by Switching One-to-one Links.

Akihito Sudo, Teck-Hou Teng, Masaki Yamaguchi, Yoshinori Tone

CoRR, 2021

2018

Instance-Specific Selection of AOS Methods for Solving Combinatorial Optimisation Problems via Neural Networks.

Teck-Hou Teng, Hoong Chuin Lau, Aldy Gunawan

Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018

2017

Predicting Indoor Crowd Density using Column-Structured Deep Neural Network.

Akihito Sudo, Teck-Hou Teng, Hoong Chuin Lau, Yoshihide Sekimoto

Proceedings of the 1st ACM SIGSPATIAL Workshop on Prediction of Human Mobility, 2017

A Multi-Agent System for Coordinating Vessel Traffic.

Teck-Hou Teng, Hoong Chuin Lau, Akshat Kumar

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Coordinating Vessel Traffic to Improve Safety and Efficiency.

Teck-Hou Teng, Hoong Chuin Lau, Akshat Kumar

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016

Managing egress of crowd during infrastructure disruption.

Teck-Hou Teng, Shih-Fen Cheng, Trong Nghia Truong, Hoong Chuin Lau

Proceedings of the Winter Simulation Conference, 2016

Self-organizing Neural Network for Adaptive Operator Selection in Evolutionary Search.

Teck-Hou Teng, Stephanus Daniel Handoko, Hoong Chuin Lau

Proceedings of the Learning and Intelligent Optimization - 10th International Conference, 2016

2015

Self-Organizing Neural Networks Integrating Domain Knowledge and Reinforcement Learning.

Teck-Hou Teng, Ah-Hwee Tan, Jacek M. Zurada

IEEE Trans. Neural Networks Learn. Syst., 2015

Fast Reinforcement Learning under Uncertainties with Self-Organizing Neural Networks.

Teck-Hou Teng, Ah-Hwee Tan

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Function approximation for large markov decision processes using self-organizing neural networks.

Teck-Hou Teng

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

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

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Integrating Motivated Learning and k-Winner-Take-All to Coordinate Multi-agent Reinforcement Learning.

Teck-Hou Teng, Ah-Hwee Tan, Janusz A. Starzyk, Yuan-Sin Tan, Loo-Nin Teow

Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

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

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Cognitive information systems for context-aware decision support

Teck-Hou Teng

PhD thesis, 2013

Adaptive computer-generated forces for simulator-based training.

Teck-Hou Teng, Ah-Hwee Tan, Loo-Nin Teow

Expert Syst. Appl., 2013

Delayed insertion and rule effect moderation of domain knowledge for reinforcement learning.

Teck-Hou Teng, Ah-Hwee Tan

Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012

Self-Regulating Action Exploration in Reinforcement Learning.

Teck-Hou Teng, Ah-Hwee Tan, Yuan-Sin Tan

Proceedings of the 3rd International Neural Network Society Winter Conference, 2012

Self-organizing neural networks for learning air combat maneuvers.

Teck-Hou Teng, Ah-Hwee Tan, Yuan-Sin Tan, Adrian Yeo

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Knowledge-Based Exploration for Reinforcement Learning in Self-Organizing Neural Networks.

Teck-Hou Teng, Ah-Hwee Tan

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2012

Adaptive CGF for pilots training in air combat simulation.

Teck-Hou Teng, Ah-Hwee Tan, Wee-Sze Ong, Kien-Lip Lee

Proceedings of the 15th International Conference on Information Fusion, 2012

2009

Modelling situation awareness for Context-aware Decision Support.

Yu-Hong Feng, Teck-Hou Teng, Ah-Hwee Tan

Expert Syst. Appl., 2009

2008

Self-organizing neural models integrating rules and reinforcement learning.

Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan

Proceedings of the International Joint Conference on Neural Networks, 2008

Cognitive Agents Integrating Rules and Reinforcement Learning for Context-Aware Decision Support.

Teck-Hou Teng, Ah-Hwee Tan

Proceedings of the 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2008

2003

Identification and tracking of dim moving targets in FLIR using artificial neural networks.

Teck-Hou Teng, Jagdish Chandra Patra, Ee-Luang Ang

Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003