Publications
2024
Budhitama Subagdja, Shanthoshigaa D, Zhaoxia Wang, and Ah-Hwee Tan. Machine Learning for Refining Knowledge Graphs: A Survey. ACM Computing Surveys. https://doi.org/10.1145/3640313.
 Minghong Geng, Shubham Pateria, Budhitama Subagdja and Ah-Hwee Tan. Benchmarking MARL on Long Horizon Sequential Multi-Objective Tasks. Accepted by 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024).
Khaing Phyo Wai, Minghong Geng, Shubham Pateria, Budhitama Subagdja and Ah-Hwee Tan. Explaining Sequences of Actions in Multi-agent Deep Reinforcement Learning Models. Accepted by 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024).
2023
Francisco Munguia Galeano, Ah-Hwee Tan and Ze Ji. Deep Reinforcement Learning with Explicit Context Representation, in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2023.3325633. [PDF]
Xinjing Song, Di Wang, Chai Quek, Ah-Hwee Tan and Yanjiang Wang. Spatial-Temporal Episodic Memory Modeling for ADLs: Encoding, Retrieval, and Prediction, in Complex & Intelligent Systems. (2023), https://doi.org/10.1007/s40747-023-01298-8. [PDF]
Ah-Hwee Tan, Dipti Srinivasan and Chunyan Miao, Conference Report on 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2022), in IEEE Computational Intelligence Magazine, vol. 18, no. 3, pp. 6-9, Aug. 2023, doi: 10.1109/MCI.2023.3278554. [PDF]
Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan and Chai Quek. Value-based Subgoal Discovery and Path Planning for Reaching Long-Horizon Goals, in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2023.3240004. Â [PDF]
Khaing Phyo Wai, Minghong Geng, Budhitama Subagdja, Shubham Pateria and Ah-Hwee Tan. Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Models, in Proceedings of 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023) (Extended Abstract).
Zhenda Hu, Zhaoxia Wang, Yinglin Wang and Ah-Hwee Tan. MSRL-Net: A Multi-level Semantic Relation-enhanced Learning Network for Aspect-Based Sentiment Analysis, in Expert Systems With Applications, Published online 7 January 2023, DOI:https://doi.org/10.1016/j.eswa.2022.119492.
Tianze Luo, Zichen Chen, Budhitama Subagdja and Ah-Hwee Tan. Real-time Hierarchical Map Segmentation for Coordinating Multi-Robot Exploration. IEEE Access. IEEE Access 11: 15680-15692 (2023), doi: 10.1109/ACCESS.2022.3171925. [PDF]
2022
Zhenda Hu, Zhaoxia Wang, Yinglin Wang and Ah-Hwee Tan. Aspect Sentiment Triplet Extraction Incorporating Syntactic Constituency Parsing Tree and Commonsense Knowledge Graph. Cognitive Computation, 2022. DOI: https://doi.org/10.1007/s12559-022-10078-4.
Wai-Cheong Lincoln Lew, Di Wang, Kai Keng Ang, Joo-Hwee Lim, Chai Quek and Ah-Hwee Tan. EEG-Video Emotion-based Summarization: Learning with EEG Auxiliary Signals. IEEE Transactions on Affective Computing, Vol. 13, no. 4, pp. 1827-1839, 1 Oct.-Dec. 2022, doi: 10.1109/TAFFC.2022.3208259. [SMU] [PDF]
Yue Hu, Budhitama Subagdja, Ah-Hwee Tan and Quanjun Yin. Vision-based Topological Mapping and Navigation with Self-Organizing Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, Vol. 33, no. 12, (December 2022) 7101-7113, doi: 10.1109/TNNLS.2021.3084212. [PDF]
Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan and Chai Quek. End-to-End Hierarchical Reinforcement Learning with Integrated Subgoal Discovery. IEEE Transactions of Neural Networks and Learning Systems, Vol. 33, No. 12 (December 2022) 7778–7790, doi: 10.1109/TNNLS.2021.3087733. [PDF]
Seng-Khoon Teh, Iris Rawtaer and Ah-Hwee Tan. Predictive Self-Organizing Neural Networks for In-Home Detection of Mild Cognitive Impairment. Expert Systems With Applications., Vol. 205, 2022, https://doi.org/10.1016/j.eswa.2022.117538. [PDF]
Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek and Quanjun Yin. Who are the ‘silent spreaders’?: contact tracing in spatio-temporal memory models. Neural Computation and Applications, 2022; 34(17): 14859–14879. Published online 2022 May 14. doi: 10.1007/s00521-022-07210-8. [PDF]
2021
Weigui Jair Zhou, Budhitama Subagdja, Ah-Hwee Tan and Darren Wee-Sze Ong. Hierarchical Control of Multi-Agent Reinforcement Learning Team in Real-Time Strategy (RTS) Games. Expert Systems with Applications, Vol. 186 (December 2021) 115707, https://doi.org/10.1016/j.eswa.2021.115707. [PDF]
Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan and Chai Quek. Hierarchical Reinforcement Learning: A Comprehensive Survey. ACM Computing Survey, vol. 54, no. 5 (June 2021), Article No.: 109, 1–35. https://doi.org/10.1145/3453160. [PDF]
Shan Gao, Ah-Hwee Tan and Rossi Setchi. Learning ADL Daily Routines with Spatiotemporal Neural Networks. IEEE Transactions on Knowledge and Data Engineering, vol. 33, no. 1 (January 2021) 143-153. doi: 10.1109/TKDE.2019.2924623. Â [PDF]
Yue Hu, Kai Xu, Budhitama Subagdja, Ah-Hwee Tan and Quanjun Yin. Interpretable Goal Recognition for Path Planning with ART Networks. In proceedings, 14th International Joint Conference on Neural Networks (IJCNN 2021), Shenzhen, China, 2021.
2020
Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Ah-Hwee Tan and Alex C. Kot. CoRRN: Cooperative Reflection Removal Network. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, no. 12 (December 2020), 2969-2982, doi: 10.1109/TPAMI.2019.2921574. [PDF]
Yizhang Wang, Di Wang, Wei Pang, Chunyan Miao, Ah-Hwee Tan and You Zhou. A systematic density-based clustering method using anchor points. Neurocomputing, 400 (2020) 352-370, https://doi.org/10.1016/j.neucom.2020.02.119. [PDF]
Yizhang Wang, Di Wang, Xiaofeng Zhang, Wei Pang, Chunyan Miao, Ah-Hwee Tan and You Zhou. McDPC: multi-center density peak clustering. Neural Computing and Applications, 2020, https://doi.org/10.1007/s00521-020-04754-5. [PDF]
Budhitama Subagdja, Hanyi Tay and Ah-Hwee Tan. Who Am I?: Towards Social Self-Awareness for Intelligent Agents. In proceedings, 2020 International Joint Conference on Artificial Intelligence (IJCAI 2020), Special track on AI for Computational Sustainability and Human well-being. [PDF]
Wai Cheong Lincoln Lew, Di Wang, Katsiaryna Shylouskaya, Zhuo Zhang, Kai Keng Ang, Joo-Hwee Lim and Ah-Hwee Tan. EEG-based Emotion Recognition Using Spatial-Temporal Representation via Bi-GRU. In proceedings, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020).
Shubham Pateria, Budhitama Subagdja and Ah-Hwee Tan. Hierarchical Reinforcement Learning with Integrated Count-based Discovery of Salient Subgoals. In proceedings, 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 1963–1965.
2019
Ah-Hwee Tan, Budhitama Subagdjab, Di Wang and Lei Meng. Self-organizing Neural Networks for Universal Learning and Multimodal Memory Encoding. Neural Networks, 120 (2019) 58-73. [PDF]
Lei Meng, Ah-Hwee Tan and Chunyan Miao. Salience-aware adaptive resonance theory for large-scale sparse data clustering. Neural Networks, 120 (2019) 143-157. [PDF]
You-Lu Xing, Xiao-Feng Shi, Fu-Rao Shen, Jin-Xi Zhao, Jing-Xin Pan and Ah-Hwee Tan. Perception Coordination Network: A Neuro Framework for Multi-Modal Concept Acquisition and Binding. IEEE Transactions on Neural Networks and Learning Systems, Vol. 30, No. 4 (2019) 1104-1118. [PDF]
Budhitama Subagdja and Ah-Hwee Tan. A Coordination Framework for Multi-Agent Persuasion and Adviser Systems. Expert Systems with Applications, Vol. 116 (2019) 31-51. [PDF]
Milan Parmar, Di Wang, Xiaofeng Zhang, Ah-Hwee Tan, Chunyan Miao, Jianhua Jiang, and You Zhou. REDPC: A residual error-based density peak clustering algorithm. Neurocomputing, Vol. 348 (2019) 82-96. [PDF]
Shubham Pateria, Budhitama Subagdja and Ah-Hwee Tan. Multi-agent Reinforcement Learning in Spatial Domain Tasks using Inter Subtask Empowerment Rewards. In proceedings, SSCI 2019: 86-93, Xiamen, China, December 2019.
Tianze Luo, Budhitama Subagdja, Di Wang and Ah-Hwee Tan. Multi-Agent Collaborative Exploration through Graph-based Deep Reinforcement Learning. In proceedings, 2019 IEEE International Conference on Agents (ICA), Jinan, China, October 2019. (Best Paper Award)
Zichen Chen, Budhitama Subagdja and Ah-Hwee Tan. End-to-end Deep Reinforcement Learning for Multi-agent Collaborative Exploration. In proceedings, 2019 IEEE International Conference on Agents (ICA), Jinan, China, October 2019. [PDF]
Budhitama Subagdja and AhÂ-Hwee Tan. Beyond Autonomy: The Self and Life of Social Agents. In proceedings, 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019), Montreal, Canada, May 2019.
Di Wang, Ah-Hwee Tan and Chunyan Miao. Modelling Autobiographical Memory Loss Across Life Span. In proceedings, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 19), Honolulu, Hawaii, USA, January 2019. [PDF]
2018
Di Wang, Xiaolin Qian, Chai Quek, Ah-Hwee Tan, Chunyan Miao, Xiaofeng Zhang, Geok See Nge, You Zhou. An Interpretable Neural Fuzzy Inference System for Predictions of Underpricing in Initial Public Offerings. Neurocomputing, Vol. 319 (2018) 102-117. [PDF]
Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Wen Gao and Alex C. Kot. Region-Aware Reflection Removal with Unified Content and Gradient Priors. IEEE Transactions on Image Processing, Vol. 27, No. 6 (2018), 2927-2941. [PDF]
Ana Garcia del Molino, JooÂHwee Lim and Ah-Hwee Tan. Predicting Visual Context for Unsupervised Event Segmentation in Continuous Photo-streams. In proceedings, ACM Multimedia Conference (MM 2018), Seoul, Republic of Korea, October 22–26, 2018.
Poo-Hee Chang and Ah-Hwee Tan. Learning Generalized Video Memory for Automatic Video Captioning. MIWAI 2018: 187-201.
You-Lu Xing, Fu-Rao Shen, Jin-Xi Zhao, Jing-Xin Pan and Ah-Hwee Tan. Perception Coordination Network: A Framework for Online Multi-Modal Concept Acquisition and Binding. In proceedings, Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 18), Orleans, Louisiana, USA, February 2–7, 2018.
Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan and Alex C. Kot. CRRN: Multi-Scale Guided Concurrent Reflection Removal Network. In proceedings, 2018 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2018): 4777-4785.
2017
Wenwen Wang and Ah-Hwee Tan. Semantic Memory Modelling and Memory Interaction in Learning Agents. IEEE Transactions on Systems, Man and Cybernetics: Systems, Vol. 47, No. 12 (2017) 2882-2895. [PDF]
Ana Garcia del Molino, Cheston Tan, Joo-Hwee Lim and Ah-Hwee Tan. Summarization of Egocentric Videos: A Comprehensive Survey. IEEE Transactions on Human-Machine Systems, Vol. 47, No. 1 (2017) 65-76. [PDF]
Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan and Alex C. Kot. Benchmarking Single-Image Reflection Removal Algorithms. In proceedings, 2017 IEEE International Conference on Computer Vision (ICCV 2017), pp3942-3950, Venice, Italy, October 22-29, 2017.
Renjie Wan, Boxin Shi, Ah-Hwee Tan and Alex C. Kot. Sparsity based reflection removal using external patch search. In proceedings, 2017 IEEE International Conference on Multimedia and Expo (ICME 2017), pp1500-1505, Hong Kong, July 10-14, 2017.
Cheng Tang, Di Wang, Ah-Hwee Tan and Chunyan Miao. EEG-Based Emotion Recognition via Fast and Robust Feature Smoothing. In proceedings, International Conference on Brain Informatics (BI 2017), pp83-92, Beijing, China, November 16-18, 2017.
Di Wang and Ah-Hwee Tan. eHealthPortal: A Social Support Hub for the Active Living of the Elderly. In proceedings, 2nd International Conference on Crowd Science and Engineering (ICCSE 2017), pp19-25, Beijing, China, July 6-9, 2017.
Di Wang, Ah-Hwee Tan, Chunyan Miao and Ahmed Moustafa. Neurocomputational Modeling of Memory Loss. 5th International Conference on Ageless Ageing, Beijing, China, July 6-9, 2017 (Best Paper Award)
Poo-Hee Chang and Ah-Hwee Tan. Encoding and Recall of Spatio-Temporal Episodic Memory in Real Time. In proceedings, Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI 17), pp1490-1496, Melbourne, Australia, August 19-25, 2017. [PDF]
Budhitama Subagdja and Ah-ÂHwee Tan. Towards a Brain Inspired Model of Self-Awareness for Sociable Agents. In proceedings, Thirty-First AAAI Conference on Artificial Intelligence (AAAI 17), pp4452-4458, San Francisco, California, USA, February 4-9, 2017.
Ana Garcia del Molino, Xavier Boix, JooÂHwee Lim and Ah-Hwee Tan. Active Video Summarization: Customized Summaries via On-line Interaction with the User. In proceedings, Thirty-First AAAI Conference on Artificial Intelligence (AAAI 17), pp4046-4052, San Francisco, California, USA, February 4-9, 2017.
2016
Budhitama Subagdja and Ah-Hwee Tan. Interactive Teachable Cognitive Agents: Smart Building Blocks for Multiagent Systems. IEEE Transactions on Systems, Man and Cybernetics: Systems, Vol. 46, No. 12 (2016) 1724-1735. [PDF]
Lei Meng, Ah-Hwee Tan and Donald Wunsch, Adaptive Scaling of Cluster Boundaries for Large-scale Social Media Data Clustering, IEEE Transactions on Neural Networks and Learning Systems, Vol. 27, No. 12 (2016) 2656-2669. [PDF]
Shu Feng and Ah-Hwee Tan. Towards Autonomous Behavior Learning of Non-Player Characters in Games. Expert Systems with Applications, Vol. 56 (2016) 89-99. [PDF]
Liang Feng, Ah-Hwee Tan, Meng-Hiot Lim and Siwei Jiang. Band selection for hyperspectral images using probabilistic memetic algorithm. Soft Computing. Vol. 20, No. 12 (2016) 4685-4693.
Jaroslaw Kochanowicz, Ah-Hwee Tan and Daniel Thalmann. Social context cognition crowd-sourcing and semi-automatic parametrization. Journal of Visualization and Computer Animation, Vol. 27, No. 3-4 (2016) 330-339.
Di Wang, Ah-Hwee Tan and Chunyan Miao. Modeling Autobiographical Memory in Human-Like Autonomous Agents. In proceedings, 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), pp845-853, Singapore, May 9-13, 2016.
Shan Gao and Ah-Hwee Tan. An Autonomous Agent for Learning Spatiotemporal Models of Human Daily Activities. Extended Abstract in proceedings, 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), pp1453-1454, Singapore, May 9-13, 2016.
Jaroslaw Kochanowicz, Ah-Hwee Tan and Daniel Thalmann. Modeling human-like non-rationality for social agents. In proceedings, CASA 2016, pp.11-20, 2016.
2015
Teck-Hou Teng, Ah-Hwee Tan and Jacek Zurada. Self-Organizing Neural Networks Integrating Domain Knowledge and Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No. 5 (2015) 889-902. [PDF]
Di Wang and Ah-Hwee Tan. Creating Autonomous Adaptive Agents in a Real-Time First-Person Shooter Computer Game. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 7, No. 2 (2015) 123-138. [PDF]
Budhitama Subagdja and Ah-Hwee Tan. Neural Modeling of Sequential Inferences and Learning over Episodic Memory. Neurocomputing, Vol. 161 (2015) 229-242. [PDF]
Jaroslaw Kochanowicz, Ah-Hwee Tan and Daniel Thalmann. Dramaturgical and dissonance theories in explicit social context modeling for complex agents. Journal of Visualization and Computer Animation, Vol. 26, No. 3-4 (2015) 247-257.
Liang Feng, Yew-Soon Ong, Ah-Hwee Tan and Ivor W. Tsang. Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems. Memetic Computing, 7(3): 159-180 (2015).
Yilin Kang, Ah-Hwee Tan, and Chunyan Miao. An Adaptive Computational Model for Personalized Persuasion. In proceedings, 14th International Joint Conference on Artificial Intelligence (IJCAI 2015), pp61-67, Buenos Aires, 2015.
Teck-Hou Teng and Ah-Hwee Tan. Fast Reinforcement Learning under Uncertainties with Self-Organizing Neural Networks. In proceedings, IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2015), pp51-58, Singapore, December 6-9, 2015.
Budhitama Subagdja and Ah-Hwee Tan. Coordinated Persuasion with Dynamic Group Formation for Collaborative Elderly Care. In proceedings, IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2015), pp352-359, Singapore, December 6-9, 2015.
Shan Gao, Di Wang, Ah-Hwee Tan, and Chunyan Miao. Progressive Sequence Matching for ADL Plan Recommendation. In proceedings, IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2015), pp360-367, Singapore, December 6-9, 2015.
Di Wang, Ah-Hwee Tan and Daqing Zhang. Non-Intrusive Robust Human Activity Recognition for Diverse Age Groups. In proceedings, IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2015), pp368-375, Singapore, December 6-9, 2015.
Di Wang, Budhitama Subagdja, Yilin Kang and Ah-Hwee Tan. Silver Assistants for Aging-in-Place. In proceedings, IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2015), pp229-230, Singapore, December 6-9, 2015.
Di Wang and Ah-Hwee Tan. MyLife: An Online Personal Memory Album. In proceedings, IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2015), pp231-232, Singapore, December 6-9, 2015.
James T. Graham, Janusz A. Starzyk, Z Ni, Haibao He, Teck-Hou Teng and Ah-Hwee Tan. A comparative study between motivated learning and reinforcement learning. In proceedings, International Joint Conference on Neural Networks (IJCNN 2015), pp.1-8, 12-17 July 2015.
Lei Meng, Ah-Hwee Tan, Cyril Leung, Liqiang Nie, Tat-Seng Chua and Chunyan Miao. Online Multimodal Co-indexing and Retrieval of Weakly Labeled Web Image Collections. In proceedings, International Conference on Multimedia Retrieval (ICMR 2015), pp.219-226, Shanghai, China.
Jaroslaw Kochanowicz, Ah-Hwee Tan and Daniel Thalmann. Beyond traits: modeling social context based personalities. Proceedings, 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), pp.1529-1538, Istanbul, May 4-8, 2015.
Yilin Kang and Ah-Hwee Tan. Making Personalized Persuasion: A Computational Model for Adaptive Persuasion. Proceedings, 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), Extended Abstract, Istanbul, May 4-8, 2015.
2014
Meng Lei, Ah-Hwee Tan, and Dong Xu. Semi-Supervised Heterogeneous Fusion for Multimedia Data Co-clustering. IEEE Transactions on Knowledge and Data Engineering, Vol. 26, No. 9 (September 2014) 2293-2306. [PDF]
Di Wang, Budhitama Subagdja, Yilin Kang, Ah-Hwee Tan and Daqing Zhang. Towards Intelligent Caring Agents for Aging-In-Place: Issues and Challenges. IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014), Orlando, Florida, USA, December 9-12, 2014
Teck-Hou Teng, Ah-Hwee Tan, Janusz A. Starzyk, Yuan-Sin Tan, Loo-Nin Teow. Integrating Motivated Learning and k-Winner-Take-All to Coordinate Multi-agent Reinforcement Learning. In Proceedings, IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2014), Warsaw, Poland, pp190-197, 11-14 August 2014.
Di Wang and Ah-Hwee Tan. Mobile Humanoid Agent With Mood Awareness for Elderly Care. In, Proceedings, International Joint Conference on Neural Networks (IJCNN 2014), Beijing, China, July 7-11, 2014.
Teck-Hou Teng, Ah-Hwee Tan, Janusz Starzyk, Yuan-Sin Tan and Loo-Nin Teow. Integrating Self-Organizing Neural Network and Motivated Learning for Coordinated Multi-Agent Reinforcement Learning in Multi-Stage Stochastic Game. In Proceedings, International Joint Conference on Neural Networks (IJCNN 2014), Beijing, China, July 7-11, 2014.
Shan Gao and Ah-Hwee Tan. User Activity Pattern Learning - A Multi-memory Modeling Approach. In Proceedings, International Joint Conference on Neural Networks (IJCNN 2014), Beijing, China, July 7-11, 2014.
Wenwen Wang and Ah-Hwee Tan. Declarative-Procedural Memory Interaction in Learning Agents. In Proceedings, 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS2014), Extended Abstract, Paris, France, May 5-9, 2014.
Budhitama Subagdja and Ah-Hwee Tan. On Coordinating Pervasive Persuasive Agents. In Proceedings, 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), Extended Abstract, Paris, France, May 5-9, 2014.
Lei Meng and Ah-Hwee Tan. Community Discovery in Social Networks via Heterogeneous Link Association and Fusion. In Proceedings, SIAM International Conference on Data Mining (SDM 2014), Philadelphia, Pennsylvania, USA, April 24-26, 2014.
2013
Teck-Hou Teng, Ah-Hwee Tan and Loo-Nin Teow. Adaptive computer-generated forces for simulator-based training, Expert Systems with Applications, Volume 40, Issue 18, 15 December 2013, Pages 7341-7353. [PDF]
Dan Xiao and Ah Hwee Tan. Cooperative Reinforcement Learning in Topology-based Multi-Agent Systems. Journal of Autonomous Agents and Multi-Agent Systems, Vol. 26, No. 1 (January 2013) 86-119 (DOI:10.1007/s10458-011-9183-4). [PDF]
Ee-May Kan, Meng-Hiot Lim, Yew-Soon Ong, Ah-Hwee Tan and Swee-Ping Yeo. Extreme learning machine terrain-based navigation for unmanned aerial vehicles. Neural Computing and Applications (2013) 22:469–477. [PDF]
Yilin Kang and Ah-Hwee Tan. Self-Organizing Cognitive Models for Virtual Agents. In Proceedings, Thirteenth International Conference on Intelligent Virtual Agents, Edinburgh, Scotland, U.K, August 28 -Â September 1, 2013.
Lei Meng, Ah-Hwee Tan, and Donald C. Wunsch. Vigilance Adaptation in Adaptive Resonance Theory. In proceedings, International Joint Conference on Neural Networks, Dallas, Texas, USA, August 4-9, 2013.
Jaroslaw Kochanowicz, Ah-Hwee Tan and Daniel Thalmann. Enabling generative, emergent artificial culture. In proceedings, Twelfth International Conference on Autonomous Agents and Multiagent Systems (AAMAS2013), pp.789-792Saint Paul, Minnesota, USA, May 6-10, 2013. (Full special track paper)
Teck-Hou Teng and Ah-Hwee Tan. Delayed Insertion and Rule Effect Moderation of Domain Knowledge for Reinforcement Learning. In proceedings, IEEE Symposium Series on Computational Intelligence, April 16-19, 2013.
2012
Wlodzisiaw Duch, Ah-Hwee Tan and Stan Franklin. Cognitive architectures and autonomy: Commentary and Response. Journal of Artificial General Intelligence. Vol. 3, No. 2 (November 2012) 31–63, DOI: 10.2478/v10229-011-0016-2.
Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan and Janusz A. Starzyk. Neural Modeling of Episodic Memory: Encoding, Retrieval, and Forgetting. IEEE Transactions on Neural Networks and Learning Systems, Vol. 23, No. 10 (October 2012), 1574–1586. [PDF]
Teck-Hou Teng, Ah-Hwee Tan and Yuan-Sin Tan. Self-Regulating Action Exploration in Reinforcement Learning. Procedia CS 13: 18-30 (2012) [PDF]
Jonathan H. Chan and Ah-Hwee Tan. Preface: Trends in Natural and Machine Intelligence. Procedia CS 13: 1-6 (2012).
Budhitama Subagdja and Ah-Hwee Tan. iFALCON: A Neural Architecture for Hierarchical Planning. Neurocomputing, Vol. 86 (June 2012) 124-139 (DOI:10.1016/j.neucom.2012.01.008). [PDF]
Janusz A. Starzyk, James T. Graham, Pawel Raif, and Ah-Hwee Tan. Motivated Learning for the Development of Autonomous Agents. Cognitive Systems Research, Special issue on Computational Modeling and Application of Cognitive Systems, Vol. 14, No. 1 (April 2012) 10-25 (DOI:10.1016/j.cogsys.2010.12.009).
Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, and Liang-Tien Clement Chia. A Non-parametric Visual-Sense Model of Images - Extending the Cluster Hypothesis Beyond Text. Multimedia Tools and Applications, Vol. 56, No. 3 (February 2012) 509-534.
Yilin Kang, Fui-Hoon Nah and Ah-Hwee Tan. Investigating Intelligent Agents in a 3D Virtual World. In Proceedings, International Conference on Information Systems (ICIS 2012), Orlando, USA, December 16-19, 2012.
Choon Sing Ho, Yew-Soon Ong, Xianshun Chen and Ah-Hwee Tan. FAME, Soft Flock Formation Control for Collective Behavior Studies and Rapid Games Development. In proceedings, 9th International Conference on Simulated Evolution and Learning, (SEAL 2012), Lecture Notes in Computer Science Vol 7673, pp 258-269, Hanoi, Vietnam, December 16-19, 2012.
Yilin Kang, Ah-Hwee Tan and Fui-Hoon Nah. Agent-based Virtual Humans in Co-Space: An Evaluative Study. In Proceedings, IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2012), Macau, China, December 4-7, 2012.
Teck-Hou Teng and Ah-Hwee Tan. Knowledge-based Exploration for Reinforcement Learning in Self-Organizing Neural Networks. In Proceedings, IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2012), Macau, China, December 4-7, 2012.
Teck-Hou Teng, Ah-Hwee Tan, Wee-Sze Ong and Kien-Lip Lee. Adaptive CGF for pilots training in air combat simulation. In proceedings, 15th International Conference on Information Fusion (FUSION 2012), pp.2263-2270, July 9-12 2012.
Budhitama Subagdja, Wenwen Wang, Ah-Hwee Tan, Yuan-Sin Tan, and Loo-Nin Teow. Memory Formation, Consolidation, and Forgetting in Learning Agents. In Proceedings, Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), pp. 1007-1014, Valencia, Spain, June 4-8, 2012.
Yilin Kang, Budhitama Subagdja, Ah-Hwee Tan, Yew-Soon Ong and Chun-Yan Miao. Virtual Characters in Agent-Augmented Co-Space. In Proceedings, Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012) (Demo Track), pp. 1465-1466, Valencia, Spain, June 4-8, 2012.
Shu Feng and Ah-Hwee Tan. A Biologically-Inspired Affective Model Based on Cognitive Situational Appraisal. In Proceedings, International Joint Conference on Neural Networks, pp. 728-735, Brisbane, Australia, June 10-15, 2012.
Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan and Yuan-Sin Tan. A Self-Organizing Multi-Memory System for Autonomous Agents. In Proceedings, International Joint Conference on Neural Networks, pp. 480-487, Brisbane, Australia, June 10-15, 2012.
Lei Meng and Ah-Hwee Tan. Semi-supervised Hierarchical Clustering for Personalized Web Image Organization. In Proceedings, International Joint Conference on Neural Networks, pp. 252-258, Brisbane, Australia, June 10-15, 2012.
Teck-Hou Teng, Ah-Hwee Tan, Yuan-Sin Tan and Adrian Yeo. Self-organizing neural networks for learning air combat maneuvers. In Proceedings, International Joint Conference on Neural Networks, pp. 2859-2866, Brisbane, Australia, June 10-15, 2012.
Liang Feng, Yew Soon Ong, Ivor Tsang and Ah Hwee Tan. An Evolutionary Search Paradigm that Learns with Past Experiences. In Proceedings, IEEE Congress on Evolutionary Computation, pp. 2708-2715, Brisbane, Australia, June 10-15, 2012.
Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, and Liang-Tien Clement Chia. Topic Based Query Suggestions for Video Search. In Proceedings, 18th International Conference on MultiMedia Modeling (MMM 2012), pp. 288-299, Klagenfurt, Austria, January 4-6, 2012. (Best Paper Award)
2011
Ah-Hwee Tan, Yew-Soon Ong and Akejariyawong Tapanuj. A Hybrid Agent Architecture Integrating Desire, Intention and Reinforcement Learning. Expert Systems with Applications, Volume 38, No. 7 (July 2011) 8477-8487.
Budhitama Subagdja and Ah-Hwee Tan. A Brain-Inspired Model of Hierarchical Planner. In Proceedings, Conference on Technologies and Applications of Artificial Intelligence (TAAI 2011), Taoyuan, Taiwan, November 11-13, 2011.
Shu Feng and Ah-Hwee Tan. Learning Human Emotion Patterns for Modeling Virtual Humans. In Proceedings, Conference on Technologies and Applications of Artificial Intelligence (TAAI 2011), Taoyuan, Taiwan, November 11-13, 2011.
Han Yu, Zhiqi Shen, Chunyan Miao and Ah-Hwee Tan, A Simple Curious Agent to Help People be Curious (Extended Abstract). In Proceedings, 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011), pp. 1159 – 1160, Taipei, Taiwan, May 2–6, 2011.
Liang Feng, Yew-Soon Ong, Ah-Hwee Tan and Xianshun Chen: Towards human-like social multi-agents with memetic automaton. In Proceedings, IEEE Congress on Evolutionary Computation 2011: pp. 1092-1099, New Orleans, June 5-8, 2011.
Ghim-Eng Yap, Ah-Hwee Tan and Hwee-Hwa Pang. Learning Feature Dependencies for Noise Correction in Biomedical Prediction. In Proceedings, Eleventh SIAM International Conference on Data Mining (SDM’2011).Â
2010
Yundong Cai, Chunyan, Miao, Ah-Hwee Tan, Zhiqi Shen and Boyang Li. Creating an Immersive Game World with Evolutionary Fuzzy Cognitive Maps. IEEE Computer Graphics and Applications, Vol. 30, No. 2 (March/April 2010) 58-70.
Ah-Hwee Tan, Yuhong Feng and Yew-Soon Ong. A Self-Organizing Neural Architecture Integrating Desire, Intension and Reinforcement Learning. Neurocomputing, Vol. 73, No. 7-9. (March 2010), 1465-1477.
Huan Wang, Xing Jiang, Liang-Tien Chia, and Ah-Hwee Tan. Wikipedia2Onto. Building Concept Ontology Automatically, Experimenting with Web Image Retrieval. Informatica (Slovenia), 34(3): 297-306 (2010).
Xing Jiang and Ah-Hwee Tan. CRCTOL: A Semantic Based Domain Ontology Learning System. Journal of the American Society for Information Science and Technology, Vol. 61, No. 1 (January 2010), 150-168.
Ah-Hwee Tan and Yilin Kang. Agent-Augmented Co-Space: Toward Merging of Real World and Cyberspace. B. Xie et al. (Eds.): ATC 2010, LNCS 6407, pp. 298-312. Springer, Heidelberg (2010).
Yilin Kang and Ah-Hwee Tan. Learning Personal Agents with Adaptive Player Modeling in Virtual Worlds. In proceedings, IEEE/WIC/ACM International Conference on Intelligent Agent Technology, pp. 173-180, Toronto, August 31 - September 3, 2010.
Ah-Hwee Tan and Gee-Wah Ng. A Biologically-Inspired Cognitive Agent Model Integrating Declarative Knowledge and Reinforcement Learning. In proceedings, IEEE/WIC/ACM International Conference on Intelligent Agent Technology, pp. 248-251, Toronto, August 31 - September 3, 2010.
Yundong Cai, Zhiqi Shen, Chunyan Miao and Ah-Hwee Tan. DIRACT: Agent-based Interactive Storytelling. In proceedings, IEEE/WIC/ACM International Conference on Intelligent Agent Technology, pp. 273-276, Toronto, August 31 - September 3, 2010.
Zin-Yan Chua, Yilin Kang, Xing Jiang, Kah-Hoe Pang, Andrew C. Gregory, Chi-Yun Tan, Wai-Lun Wong, Ah-Hwee Tan, Yew-Soon Ong, Chun-Yan Miao. Experiencing Singapore Youth Olympic Games in Agent-Augmented Co-Space. 2010 International Conference on Cyberworlds, Singapore, October 20-22, 2010.
Zheng-Xiang Pan, Liang Feng, Yew-Soon Ong, Yilin Kang, Ah-Hwee Tan and Chunyan Miao. Meme Selection, Variation, and Transmission in Multi-agent System. World Automation Congress 2010, Kobe, Japan, September 2010.
Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim and Liang-Tien Chia. Faceted Topic Retrieval of News Video Using Joint Topic Modeling of Visual Features and Speech Transcripts. In proceedings, IEEE International Conference on Multimedia & Expo (ICME'10), Singapore, July 19-23, 2010.
Shu Feng and Ah-Hwee Tan. Self-Organizing Neural Networks for Behavior Modeling in Games. In proceedings, 2010 International Joint Conference on Neural Networks, pp. 3649-3656, Barcelona, Spain, July 18-23, 2010.
Yilin Kang and Ah-Hwee Tan. Self-Organizing Agents for Reinforcement Learning in Virtual Worlds. In proceedings, 2010 International Joint Conference on Neural Networks, pp. 3641-3648, Barcelona, Spain, July 18-23, 2010.
Janusz Starzyk, Pawel Raif and Ah-Hwee Tan. Mental Development and Representation Building through Motivated Learning. In proceedings, 2010 International Joint Conference on Neural Networks, pp. 2677-2684, Barcelona, Spain, July 18-23, 2010.
Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan and Janusz Starzyk. A Self-Organizing Approach to Episodic Memory Modeling. In proceedings, 2010 International Joint Conference on Neural Networks, pp. 447-454, Barcelona, Spain, July 18-23, 2010.
Liang Feng, Yew-Soon Ong, Quang Huy Nguyen and Ah-Hwee Tan. Towards Probabilistic Memetic Algorithm: An Initial Study on Capacitated Arc Routing Problem. In proceedings, 2010 IEEE Congress on Evolutionary Computation, pp. 4402-4408, Barcelona, Spain, July 18-23, 2010.
Janusz Starzyk, Pawel Raif and Ah-Hwee Tan. Motivated Learning as an Extension of Reinforcement Learning. In proceedings, 4th International Conference on Cognitive Systems, ETH Zurich, January 27-28, 2010.
Pre-2010 Journal Papers
Xing Jiang, Hui Xiong, Chen Wang and Ah-Hwee Tan. Mining Frequent Subgraphs in Single Labeled Graph: A Global Distribution Perspective. Data and Knowledge Engineering, Vol. 68, No. 10 (December 2009), 1034-1058.
Yiqun Hu, Xiangang Cheng, Liang-Tien Chia, Xing Xie, Deepu Rajan, and Ah-Hwee Tan. Coherent Phrase Model for Efficient Image Near-Duplicate Retrieval. IEEE Transactions on Multimedia, Vol. 11, No. 5 (December 2009), 1434-1445.
Xing Jiang and Ah-Hwee Tan. Learning and Inferencing in User Ontology for Personalized Semantic Web Search. Information Sciences, Volume 179, Issue 16 (July 2009) 2794-2808. doi:10.1016/j.ins.2009.04.005
Hui-Qing Chong, Ah-Hwee Tan and Gee-Wah Ng. Integrated Cognitive Architectures: A Survey. Artificial Intelligence Review, Vol. 28, No. 2 (Published Online February 2009) 103-130. doi:10.1007/s10462-009-9094-9
Tao Jiang and Ah-Hwee Tan. Learning Image-Text Associations. IEEE Transactions on Knowledge and Data Engineering, Vol. 21, No. 2 (February 2009), 161-177.
Yu-Hong Feng, Teck-Hou Teng and Ah-Hwee Tan. Modelling Situation Awareness for Context-aware Decision Support. Expert Systems with Applications, Vol. 36, No. 1 (January 2009) 455-463.
Ghim-Eng Yap, Ah-Hwee Tan and Hwee-Hwa Pang. Explaining Inferences in Bayesian Networks. Applied Intelligence, Vol. 29, No. 3 (December 2008) 263-278.
Hai-Jun Rong, Yew-Soon Ong, Ah-Hwee Tan and Zexuan Zhu. A fast pruned-extreme learning machine for classification problem. Neurocomputing, Vol. 72, No. 1-3 (December 2008) 359-366.
Ah-Hwee Tan, Ning Lu and Dan Xiao. Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning with Delayed Evaluative Feedback. IEEE Transactions on Neural Networks, Vol. 9, No. 2 (February 2008) 230-244.
Dan Xiao and Ah-Hwee Tan. Self-Organizing Neural Architectures and Cooperative Learning in Multi-Agent Environment. IEEE Transactions on Systems, Man and Cybernetics - Part B, Vol. 37, No. 6 (December 2007) 1567-1580.
Ghim-Eng Yap, Ah-Hwee Tan and Hwee-Hwa Pang. Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders. IEEE Transactions on Knowledge and Data Engineering, Vol. 19, No. 7 (July 2007) 977-992.
Tao Jiang, Ah-Hwee Tan and Ke Wang. Mining Generalized Associations of Semantic Relations from Textual Web Content. IEEE Transactions on Knowledge and Data Engineering, Vol. 19, No. 2 (February 2007) 164-179.
Ah-Hwee Tan and Hong Pan. Predictive Neural Networks for Gene Expression Data Analysis. Neural Networks, Vol. 18, No. 3 (April 2005) 297-306.
Ji He, Ah-Hwee Tan and Chew-Lim Tan. Modified ART 2A Growing Network Capable of Generating a Fixed Number of Nodes. IEEE Transactions on Neural Networks, Vol. 5, No. 3 (May 2004) 728-737.
Ah-Hwee Tan, Hwee-Leng Ong, Hong Pan, Jamie Ng and Qiu-Xiang Li. Towards Personalized Web Intelligence. Knowledge and Information Systems, Vol. 6, No. 5 (September 2004) 595-616.
Ah-Hwee Tan and Philip S. Yu. Guest Editorial: Text and Web Mining. Applied Intelligence: Special Issue on Text and Web Mining, Vol. 18, No. 3 (May-June 2003) 239-241.
Ji He, Ah-Hwee Tan and Chew-Lim Tan. On Machine Learning Methods for Chinese Document Classification. Applied Intelligence, Vol. 18, No. 3 (May-June 2003) 311-322.
Hwee-Leng Ong, Ah-Hwee Tan, Jamie Ng, Hong Pan and Qiu-Xiang Li. Organizing and Personalizing Intelligence Gathering from the Web. International Journal of Intelligence Systems in Accounting, Finance and Management, Special Issue on Knowledge Management, Vol. 11, No. 1 (2002) 9-21.
Ah-Hwee Tan. Cascade ARTMAP: Integrating Neural Computation and Symbolic Knowledge Processing. IEEE Transactions on Neural Networks, Vol. 8, No. 2 (March 1997) 237-250.
Ah-Hwee Tan and Loo-Nin Teow. Inductive Neural Logic Network and the SCM Algorithm. Neurocomputing: An International Journal. Vol. 14 (1997) 157-176.
Ah-Hwee Tan and Hui-Shin Soon. Concept Hierarchy Memory Model: A Neural Architecture for Conceptual Knowledge Representation, Learning and Commonsense Reasoning. International Journal of Neural Systems, Vol. 7, No. 3 (July 1996) 305-319.
Ah-Hwee Tan. Adaptive Resonance Associative Map. Neural Networks, Vol.8, No. 3 (1995) 437-446.
Gail A. Carpenter and Ah-Hwee Tan. Rule Extraction: From Neural Architecture to Symbolic Representation. Connection Science, Vol. 7, No. 1 (1995) 3-27.
Boon-Toh Low, Ho-Chung Lui, Ah-Hwee Tan and Hoon-Heng Teh. Connectionist Expert System with Adaptive Learning Capability. IEEE Transactions on Knowledge and Data Engineering, Vol. 3, No. 2 (June 1991) 200-207.
Hoon-Heng Teh and Ah-Hwee Tan. Connectionist Expert Systems: An Inductive Cum Deductive Approach. International Journal of Information Technology, Vol. 3 (1989), No.1, 63-72.
Pre 2010 Conference Papers
Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia, and Sujoy Roy. A Latent Model for Visual Disambiguation of Keyword-based Image Search. In proceedings, British Machine Vision Conference, London, UK, September 7-10, 2009.
Di Wang, Budhitama Subagdja, Ah-Hwee Tan and Gee-Wah Ng. Creating Human-like Autonomous Players in Real-time First Person Shooter Computer Games. In proceedings, Twenty-First Annual Conference on Innovative Applications of Artificial Intelligence (IAAI'09), Pasadena, California, USA, July 14–16, 2009.
Luong-Dong Nguyen, Ghim-Eng Yap, Ying Liu, Ah-Hwee Tan, Liang-Tien Chia and Joo-Hwee Lim. A Bayesian Approach Integrating Regional and Global Features for Image Semantic Learning. In proceedings, IEEE International Conference on Multimedia & Expo (ICME'09), Cancun, Mexico, June 28 - July 3, 2009.
Budhitama Subagdja and Ah-Hwee Tan. A Self-Organizing Neural Network Architecture for Intentional Planning Agents. In proceedings, Eighth International Conference on Autonomous Agents and Multiagent Systems (AAMAS'09), pp. 1081-1088, Budapest, Hungary, May 10-15, 2009.
Budhitama Subagdja and Ah Hwee Tan. Planning with iFALCON: Towards A Neural-Network-Based BDI Agent Architecture. In proceedings, IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'08), pp. 231-237, Sydney, Australia, 9-12 December 2008.
Dan Xiao and Ah Hwee Tan. Scaling up Multi-Agent Reinforcement Learning in Complex Domains. In proceedings, IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'08), pp. 326-329, Sydney, Australia, 9-12 December 2008.
Teck-Hou Teng and Ah Hwee Tan. Cognitive Agents Integrating Rules and Reinforcement Learning for Context-Aware Decision Support. In proceedings, IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'08), pp. 318-321, Sydney, Australia, 9-12 December 2008.
Huan Wang, Xing Jiang, Liang-Tien Chia and Ah-Hwee Tan. Ontology Enhanced Web Image Retrieval: Aided by Wikipedia & Spreading Activation Theory. In proceedings, ACM International Conference on Multimedia Information Retrieval (MIR'08), pp. 195-201, Vancouver, Canada, 30-31 October 2008.
Luong-Dong Nguyen, Kia-Yan Woon and Ah-Hwee Tan. A Self-Organizing Neural Model for Multimedia Information Fusion. In proceedings, 11th International Conference on Information Fusion (Fusion), pp. 1738-1744, Cologne, Germany, 30 June – 3 July 2008.
Teck-Hou Teng, Zhong-Ming Tan and Ah-Hwee Tan. Self-Organizing Neural Models Integrating Rules and Reinforcement Learning. In proceedings, International Joint Conference on Neural Networks (IJCNN'08), pp. 3770-3777, Hong Kong, 1–6 June 2008.
Yundong Cai, Chunyan Miao, Ah-Hwee Tan and Zhiqi Shen. Context Modeling with Evolutionary Fuzzy Cognitive Map in Interactive Storytelling. In proceedings, International Conference on Fuzzy Systems (FUZZ-IEEE'08), pp.2320-2325, Hong Kong, 1–6 June 2008.
Feng Liu, Ah-Hwee Tan and Gee-Wah Ng. FALCON-X: An Integrated Neural Cognitive Architecture. Twelfth International Conference on Cognitive and Neural Systems, Boston, 14-17 May 2008.
Yundong Cai, Zhiqi Shen, Chunyan Miao and Ah-Hwee Tan. S-MADE: Interactive Storytelling Architecture Through Goal Execution and Decomposing. In proceedings, AAAI Fall Symposium on Intelligent Narrative Technologies, Washington, DC, 8–11 November 2007.
Ghim-Eng Yap, Ah-Hwee Tan and Hwee-Hwa Pang. Learning Causal Models for Noisy Biological Data Mining: An Application to Ovarian Cancer Detection. In proceedings, 22nd National Conference on Artificial Intelligence (AAAI'07), pp.354-359, Vancouver, British Columbia, 22–26 July 2007.
Yundong Cai, Chunyan Miao, Ah-Hwee Tan and Zhiqi Shen. A Hybrid of Plot-based and Character-based Interactive Storytelling. In proceedings, The Second International Conference on E-Learning and Games (Edutainment’07), pp. 260-273, Hong Kong, 11-13 June 2007.
Ah-Hwee Tan, Gail A. Carpenter and Stephen Grossberg. Intelligence Through Interaction: Towards A Unified Theory for Learning . In proceedings, D. Liu et al. (Eds.): International Symposium on Neural Networks (ISNN'07), LNCS 4491, Part I, pp. 1098-1107, Nanjing, China, 3-7 June 2007.
Heng-Jie Song, Zhi-Qi Shen, Chun-Yan Miao, Ah-Hwee Tan and Guo-Peng Zhao. The Multi-Agent Data Collection in HLA-based Simulation System In proceedings, 21st International Workshop on Principles of Advanced and Distributed Simulation (PADS'07), pp. 61-69, San Diego, California, USA, 12-15 June 2007.
Ying Liu, Dengsheng Zhang, Guojun Lu and Ah-Hwee Tan. Integrating Semantic Templates with Decision Tree for Image Semantic Learning. In proceedings, 13thInternational Multimedia Modeling Conference (MMM'07), LNCS 4351, pp. 185-195, Singapore, 9-12 January 2007.
Ah-Hwee Tan. Direct Code Access in Self-Organizing Neural Architectures for Reinforcement Learning. In proceedings, International Joint Conference on Artificial Intelligence (IJCAI'07), pp. 1071-1076, Hyderabad, India, January 6-12, 2007.
Quang Tran, Tantra, J.W., Chuan Heng Foh, Ah-Hwee Tan, Kin Choong Yow and Dongyu Qiu. Wireless Indoor Positioning System with Enhanced Nearest Neighbors in Signal Space Algorithm. In proceedings, 2006 IEEE 64th Vehicular Technology Conference (VTC-2006), pp.1-5, Montreal, QC, Canada, September 25-28, 2006.
Tao Jiang and Ah-Hwee Tan. Discovering Image-Text Associations for Cross-Media Web Information Fusion. In proceedings, 17th European Conference on Machine Learning and 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'06), LNCS 4213, pp. 461-468, Berlin, Germany, September 18-22, 2006.
Tao Jiang and Ah-Hwee Tan. Mining RDF Metadata for Generalized Association Rules. In proceedings, 17th International Conference on Database and Expert Systems Applications (DEXA'06), LNCS 4080, pp. 223-233, Krakow, Poland, 4-8 September 2006.
Samin Karim, Liz Sonenberg and Ah-Hwee Tan. Â A Hybrid Architecture Combining Reactive Plan Execution and Reactive Learning. In proceedings, 9th Biennial Pacific Rim International Conference on Artificial Intelligence (PRICAI'06), LNAI 4099, pp.200-211, Guilin, China, 7-11 August 2006.
24. Â Â Â Xing Jiang and Ah-Hwee Tan, OntoSearch: A Semantic Search Engine for the Semantic Web . In proceedings, 21st National Conference on Artificial Intelligence (AAAI'06), pp. 1325-1330, Boston, USA, July 16-20, 2006.
Yundong Cai, Chunyan Miao, Ah-Hwee Tan and Zhiqi Shen. Fuzzy Cognitive Goal Net for Interactive Storytelling Plot Design. In proceedings, ACM SIGCHI International Conference on Advances in Computer Entertainment Technology (ACE'06), Hollywood, USA, June 14-16, 2006.
Xing Jiang and Ah-Hwee Tan. Learning and inferencing in user ontology for personalized semantic web services. In proceedings, 15th International Conference on World Wide Web (WWW'06), Edinburgh, Scotland, pp. 1067-1068, May 2006.
Tao Jiang and Ah-Hwee Tan. Mining RDF metadata for generalized association rules: knowledge discovery in the semantic web era. In Proceedings, 15th International Conference on World Wide Web (WWW'06), Edinburgh, Scotland, pp. 951-952, May 2006.
Ah-Hwee Tan. Self-organizing Neural Architecture for Reinforcement Learning . In J. Wang et al. (Eds.): International Symposium on Neural Networks (ISNN'06), LNCS 3971, pp. 470-475, Chengdu, China, May 28 - June 1, 2006.
Ghim-Eng Yap, Ah-Hwee Tan and Hwee-Hwa Pang. Discovering Causal Dependencies in Mobile Context-Aware Recommenders. In proceedings, International Conference on Mobile Data Management (MDM'06), Nara, Japan, May 2006.
Dan Xiao and Ah-Hwee Tan. Cooperative Cognitive Agents and Reinforcement Learning in Pursuit Game. In proceedings, Third International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS'05), Singapore, December 2005.
Xing Jiang and Ah-Hwee Tan. Mining Ontological Knowledge from Domain-Specific Text Documents. In proceedings, IEEE International Conference on Data Mining (ICDM'05), pp. 665-668, New Orleans, USA, November 27-30, 2005.
Ah-Hwee Tan and Dan Xiao. Self-Organizing Cognitive Agents and Reinforcement Learning in a Multi-Agent Environment. In proceedings, IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'05), pp. 351-357, France, September 2005.
Ghim-Eng Yap, Ah-Hwee Tan and Hwee-Hwa Pang. Dynamically-Optimized Context in Recommender Systems. In proceedings, 6th International Conference on Mobile Data Management (MDM'05), Ayia Napa, Cyprus, May 9-13, 2005.
Ah-Hwee Tan. FALCON: A Fusion Architecture for Learning, COgnition and Navigation. In proceedings, International Joint Conference on Neural Networks (IJCNN'04), pp. 3297-3302, Budapest, July 2004.
Kanagasabai Rajaraman and Ah-Hwee Tan. Mining Semantic Network for Knowledge Discovery. In Proceedings, IEEE International Conference on Data Mining (ICDM'03), pp. 633-636, Melbourne, USA, November 2003.
Ji He, Ah-Hwee Tan and Chew-Lim Tan. Self-organizing Neural Networks for Efficient Clustering of Gene Expression Data. In Proceedings, International Joint Conference on Neural Networks (IJCNN'03), pp. 1684-1689, Portland, USA, July 2003.
Kanagasabai Rajaraman and Ah-Hwee Tan. Knowledge Discovery from Texts: A Concept Frame Graph Approach. In Proceedings, Eleventh International Conference on Information and Knowledge Management (CIKM'02), McLean, VA, USA, November 4-9, 2002.
Ah-Hwee Tan. Personalized Information Management for Web Intelligence. In Proceedings, World Congress on Computational Intelligence (WCCI'02) FUZZ-IEEE, pp. 1045-1050, Honolulu, 12-17 May 2002.
Ji He, Ah-Hwee Tan and Chew-Lim Tan. ART-C: A Neural Architecture for Efficient On-line Clustering under Constraints. In Proceedings. World Congress on Computational Intelligence (WCCI'02) IJCNN, pp. 2550-2555, Honolulu, May 2002.
Ah-Hwee Tan and Hong Pan. Adding Personality to Information Clustering. In Proceedings, Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'02), pp. 251-256, Taipei, May 2002.
Hwee-Leng Ong, Ah-Hwee Tan, Jamie Ng, Hong Pan and Qiu-Xiang Li. FOCI: Flexible Organizer for Competitive Intelligence. In Proceedings, Tenth International Conference on Information and Knowledge Management (CIKM'01), pp. 523-525, Atlanta, USA, 5-10 November 2001.
Kanagasabai Rajaraman and Ah-Hwee Tan. Topic detection, Tracking and Trend Analysis using Self-organizing Neural Networks. In Proceedings, Fifth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'01), LNAI 2035, pp. 102-107, Hong Kong, April 16-18, 2001.
Ah-Hwee Tan. Predictive Self-Organizing Networks for Text Categorization. In Proceedings, Fifth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'01), LNAI2035, pp. 66-77, Hong Kong, April 16-18, 2001.
Ah-Hwee Tan, Hwee-Leng Ong, Hong Pan, Jamie Ng and Qiu-Xiang Li. FOCI: A Personalized Web Intelligence System. In proceedings, IJCAI workshop on Intelligent Techniques for Web Personalisation, pp. 14-19, Seattle, USA, August 2001.
Lakshmi Vijjappu, Ah-Hwee Tan and Chew-Lim Tan. Web Structure Analysis for Information Mining. In proceedings, ICDAR Workshop on Web Document Analysis, Seattle, USA, 10-13 September 2001.
Ji He, Ah-Hwee Tan and Chew-Lim Tan. Machine Learning Methods for Chinese Web Page Categorization. In proceedings, ACL International Workshop on Chinese Language Processing, Hong Kong, September 2000.
Ah-Hwee Tan and Fon-Lin Lai. Text Categorization, Supervised Learning and Domain Knowledge Integration. In proceedings, KDD'2000 International Workshop on Text Mining, pp. 113-114, Boston, USA, August 2000.
Ji He, Ah-Hwee Tan and Chew-Lim Tan. A Comparative Study on Chinese Text Categorization Methods. In proceedings, PRICAI'2000 International Workshop on Text and Web Mining, pp. 24-35, Melbourne, Australia, August 2000.
Ah-Hwee Tan and Hui-Shin Soon. Predictive Adaptive Resonance Theory and Knowledge Discovery in Databases. In proceedings, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'00), LNAI 1805, pp. 173-176, Kyoto, April 2000.
Ah-Hwee Tan. Text mining: The state of the art and the challenges. In proceedings, PAKDD Workshop on Knowledge discovery from Advanced Databases (KDAD'99), pp. 71-76, Beijing, April 1999.
Ah-Hwee Tan and Christine Teo. Learning User Profiles for Personalized Information Dissemination. In proceedings, International Joint Conference on Neural Networks (IJCNN'98), pp. 183-188, Alaska, USA, May 4-9, 1998.
Ah-Hwee Tan, Joo-Hwee Lim, Ho-Chung Lui, Liya Ding and Fon-Lin Lai. Hierarchical Knowledge and Information Integration for Intelligent Pattern Recognition. In proceedings, Real World Computing Joint Symposium, pp. 326-333, Tokyo, 17-18 February 1997.
Fon-Lin Lai, Joo-Hwee Lim, Liya Ding, Ah-Hwee Tan and Ho-Chung Lui. An Application of Hierarchical Knowledge Integration in Hand-written Form Processing. In proceedings, Pacific Rim International Conference on Artificial Intelligence (PRICAI'96): Topics in Artificial Intelligence, pp. 169-180, Cairns, Australia, August 26 – 30, 1996.
Ah-Hwee Tan. Integrating Rules and Neural Computation. In proceedings, IEEE International Conference on Neural Networks, Vol. IV, pp. 1794-1799, Perth, Australia, 1995.
Ah-Hwee Tan and Loo-Nin Teow. Learning by Supervised Clustering and Matching. In proceedings, IEEE International Conference on Neural Networks, Vol. I, pp.242-246, Perth, Australia, Nov 27 – Dec 1, December 1995.
Loo-Nin Teow and Ah-Hwee Tan. Adaptive Integration of Multiple Experts. In proceedings, IEEE International Conference on Neural Networks, Vol. III, pp. 1215-1220, Perth, Australia, December 1995.
Ah-Hwee Tan and Loo-Nin Teow. Neural Logic Networks for Pattern Recognition, Time Series Prediction and Knowledge Integration. In proceedings, Real World Computing Joint Symposium, pp. 67-68, Tokyo, 1995.
Ah-Hwee Tan. Adaptive Resonance Associative Map: A Neural Model for Heteroassociative Learning and Recall. In proceedings, International Conference on Neural Information Processing, Vol II, 731-736, Seoul, 17-21 October 1994.
Gail A. Carpenter and Ah-Hwee Tan. Fuzzy ARTMAP, Rule Extraction and Medical Databases. In proceedings, World Congress on Neural Networks, Portland, July 11-15, 1993, Vol I, pp.501-506. Hillsdale, NJ: Lawrence Erlbaum Associates.
Hui-Shin Soon and Ah-Hwee Tan. Concept Hierarchy Networks for Inheritance Systems: Concept Formation, Property Inheritance and Conflict Resolution. In proceedings, 15th Conference of the Cognitive Science Society, Boulder, June 18-21,1993, pp.941-946. Hillsdale, NJ: Lawrence Erlbaum Associates.
Hui-Shin Soon and Ah-Hwee Tan. A Memory Model for Concept Hierarchy Representation and Commonsense Reasoning. In proceedings, World Congress on Neural Networks, Portland, July 11-15, 1993, Vol II, pp.206-209. Hillsdale, NJ:Lawrence Erlbaum Associates.
Ah-Hwee Tan. Rule Learning and Extraction with Self-organizing Neural Networks. In Mozer, M. C., Smolensky, P., Touretzky, D.S., Elman, J.L. and Weigend, A.S. edited, proceedings, 1993 Connectionist Models Summer School, pp.192-199.
Ah-Hwee Tan. Adaptive Resonance Associative Map: A Hierarchical ART system for Fast Stable Associative Learning. In proceedings, Intl' Joint Conference on Neural Networks, Baltimore, June 17-21, 1992, Vol I, pp.860-865. Piscataway, NJ: IEEE Service Center.
Joo-Hwee Lim, Ah-Hwee Tan, Ho-Chung Lui and Hoon-Heng Teh. INSIDE: A Connectionist Case-based Diagnostic Expert System That Learns Incrementally. In Proceedings, International Joint Conference on Neural Networks (IJCNN'91), Singapore, November 18-21, 1991, Vol II, pp.1693-1698. Piscataway, NJ: IEEE Service Center.
Ho-Chung Lui, Joo-Hwee Lim, Ah-Hwee Tan and Hoon-Heng Teh. Practical Application of a Connectionist Expert System: The INSIDE Story. In proceedings, First World Congress on Expert Systems, Orlando, December 17-21, 1991, pp.21-29.
Ah-Hwee Tan, Qiang Pan, Ho-Chung Lui and Hoon-Heng Teh. INSIDE: A Neuronet Based Hardware Fault Diagnostic System. In proceedings, Intl' Joint Conference on Neural Networks, San Diego, USA, June 17-21, 1990, Vol I, pp.63-69. Piscataway, NJ: IEEE Service Center.
Lai-Kin Chee and Ah-Hwee Tan. Connectionist Expert System for Intelligent Advisory Applications. Expert Systems in Economic, Banking and Management, 1989, pp.167-176. Amsterdam: Elsevier/North Holland.
Ah-Hwee Tan and Hoon-Heng Teh. Connectionist Expert Systems: A Neural-Logic Models' Approach. In proceedings, Inter-faculty Seminar on Neuronet Computing, National University of Singapore, June 1989, pp.16-32.