Ah-Hwee Tan

245 papers A* 22A 24B 39C 7Journal 86Unranked 56
YearRankTypeTitle / Venue / Authors
2026 A* conf
ARTEM: Enhancing Large Language Model Agents with Spatial-Temporal Episodic Memory.
AAAI
Cassandra Hui-Ming Tan, Budhitama Subagdja, Ah-Hwee Tan
2026 A* conf
Interpretable Machine Learning for In-Home Mild Cognitive Impairment Detection.
AAAI
Budhitama Subagdja, D. Shanthoshigaa, Ah-Hwee Tan, Iris Rawtaer
2026 — conf
Interpretable Machine Learning for Personalized Profiling of Mild Cognitive Impairment from Daily Activities.
BIOSTEC (4)
Budhitama Subagdja, Ah-Hwee Tan, Kenneth Kwok, Iris Rawtaer
2026 A* conf
MemoryART: Enhancing LLMs via Multi-Memory Models with Adaptive Resonance Theory for Healthcare Agents.
AAAI
Renke Dai, Hebin Hu, Jiahui Zhang, Yilin Kang, Ah-Hwee Tan
2025 A* conf
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation.
ICLR
Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves
2025 J jnl
Deep Reinforcement Learning With Explicit Context Representation.
IEEE Trans. Neural Networks Learn. Syst.
Francisco Munguia-Galeano, Ah-Hwee Tan, Ze Ji
2025 J jnl
DisambiguART: A Neural-based Inference Model for Knowledge Graph Disambiguation.
ACM Trans. Knowl. Discov. Data
Budhitama Subagdja, D. Shanthoshigaa, Ah-Hwee Tan
2025 J jnl
FedART: A neural model integrating federated learning and adaptive resonance theory.
Neural Networks
Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2025 A* conf
L2M2: A Hierarchical Framework Integrating Large Language Model and Multi-agent Reinforcement Learning.
IJCAI
Minghong Geng, Shubham Pateria, Budhitama Subagdja, Lin Li, Xin Zhao, Ah-Hwee Tan
2025 A conf
MOSMAC: A Multi-agent Reinforcement Learning Benchmark on Sequential Multi-Objective Tasks.
AAMAS
Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2025 J jnl
Relation prediction in knowledge graphs: A self-organizing neural network approach.
Neural Networks
Budhitama Subagdja, D. Shanthoshigaa, Ah-Hwee Tan
2024 A conf
Benchmarking MARL on Long Horizon Sequential Multi-Objective Tasks.
AAMAS
Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2024 J jnl
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation.
CoRR
Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves
2024 A conf
Explaining Sequences of Actions in Multi-agent Deep Reinforcement Learning Models.
AAMAS
Khaing Phyo Wai, Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2024 B conf
FedSTEM-ADL: A Federated Spatial-Temporal Episodic Memory Model for ADL Prediction.
IJCNN
Doudou Wu, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2024 J jnl
HiSOMA: A hierarchical multi-agent model integrating self-organizing neural networks with multi-agent deep reinforcement learning.
Expert Syst. Appl.
Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2024 J jnl
Machine Learning for Refining Knowledge Graphs: A Survey.
ACM Comput. Surv.
Budhitama Subagdja, D. Shanthoshigaa, Zhaoxia Wang, Ah-Hwee Tan
2024 — conf
Predicting Mild Cognitive Impairment through Ambient Sensing and Artificial Intelligence.
CAI
Ah-Hwee Tan, Weng-Yan Ying, Budhitama Subagdja, Anni Huang, D. Shanthoshigaa, Tony Chin-Ian Tay, Iris Rawtaer
2024 — conf
Self-Supervised Fine-Tuning for Neural Expert Finding.
WI/IAT
Budhitama Subagdja, Sanchari Dan, Ah-Hwee Tan
2024 J jnl
Spatial-temporal episodic memory modeling for ADLs: encoding, retrieval, and prediction.
Complex Intell. Syst.
Xinjing Song, Di Wang, Chai Quek, Ah-Hwee Tan, Yanjiang Wang
2024 J jnl
Value-Based Subgoal Discovery and Path Planning for Reaching Long-Horizon Goals.
IEEE Trans. Neural Networks Learn. Syst.
Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek
2023 J jnl
Aspect Sentiment Triplet Extraction Incorporating Syntactic Constituency Parsing Tree and Commonsense Knowledge Graph.
Cogn. Comput.
Zhenda Hu, Zhaoxia Wang, Yinglin Wang, Ah-Hwee Tan
2023 J jnl
Conference Report on 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2022) [Conference Reports].
IEEE Comput. Intell. Mag.
Ah-Hwee Tan, Dipti Srinivasan, Chunyan Miao
2023 J jnl
Deep Reinforcement Learning with Explicit Context Representation.
CoRR
Francisco Munguia-Galeano, Ah-Hwee Tan, Ze Ji
2023 J jnl
MSRL-Net: A multi-level semantic relation-enhanced learning network for aspect-based sentiment analysis.
Expert Syst. Appl.
Zhenda Hu, Zhaoxia Wang, Yinglin Wang, Ah-Hwee Tan
2023 J jnl
MiMuSA - mimicking human language understanding for fine-grained multi-class sentiment analysis.
Neural Comput. Appl.
Zhaoxia Wang, Zhenda Hu, Seng-Beng Ho, Erik Cambria, Ah-Hwee Tan
2023 J jnl
Real-Time Hierarchical Map Segmentation for Coordinating Multirobot Exploration.
IEEE Access
Tianze Luo, Zichen Chen, Budhitama Subagdja, Ah-Hwee Tan
2023 A conf
Towards Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Models.
AAMAS
Khaing Phyo Wai, Minghong Geng, Budhitama Subagdja, Shubham Pateria, Ah-Hwee Tan
2022 J jnl
EEG-Video Emotion-Based Summarization: Learning With EEG Auxiliary Signals.
IEEE Trans. Affect. Comput.
Wai-Cheong Lincoln Lew, Di Wang, Kai Keng Ang, Joo-Hwee Lim, Chai Quek, Ah-Hwee Tan
2022 J jnl
End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery.
IEEE Trans. Neural Networks Learn. Syst.
Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek
2022 J jnl
Hierarchical Reinforcement Learning: A Comprehensive Survey.
ACM Comput. Surv.
Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek
2022 — ed.
IEEE Symposium Series on Computational Intelligence, SSCI 2022, Singapore, December 4-7, 2022
SSCI
Hisao Ishibuchi, Chee-Keong Kwoh, Ah-Hwee Tan, Dipti Srinivasan, Chunyan Miao, Anupam Trivedi, Keeley A. Crockett
2022 J jnl
Predictive self-organizing neural networks for in-home detection of Mild Cognitive Impairment.
Expert Syst. Appl.
Seng-Khoon Teh, Iris Rawtaer, Ah-Hwee Tan
2022 J jnl
Vision-Based Topological Mapping and Navigation With Self-Organizing Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin
2022 J jnl
Who are the 'silent spreaders'?: contact tracing in spatio-temporal memory models.
Neural Comput. Appl.
Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek, Quanjun Yin
2021 J jnl
Hierarchical control of multi-agent reinforcement learning team in real-time strategy (RTS) games.
Expert Syst. Appl.
Weigui Jair Zhou, Budhitama Subagdja, Ah-Hwee Tan, Darren Wee Sze Ong
2021 B conf
Interpretable Goal Recognition for Path Planning with ART Networks.
IJCNN
Yue Hu, Kai Xu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin
2021 J jnl
Learning ADL Daily Routines with Spatiotemporal Neural Networks.
IEEE Trans. Knowl. Data Eng.
Shan Gao, Ah-Hwee Tan, Rossi Setchi
2021 B conf
Stock Market Trend Forecasting Based on Multiple Textual Features: A Deep Learning Method.
ICTAI
Zhenda Hu, Zhaoxia Wang, Seng-Beng Ho, Ah-Hwee Tan
2020 J jnl
A systematic density-based clustering method using anchor points.
Neurocomputing
Yizhang Wang, Di Wang, Wei Pang, Chunyan Miao, Ah-Hwee Tan, You Zhou
2020 J jnl
CoRRN: Cooperative Reflection Removal Network.
IEEE Trans. Pattern Anal. Mach. Intell.
Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot
2020 — conf
EEG-based Emotion Recognition Using Spatial-Temporal Representation via Bi-GRU.
EMBC
Wai-Cheong Lincoln Lew, Di Wang, Katsiaryna Shylouskaya, Zhuo Zhang, Joo-Hwee Lim, Kai Keng Ang, Ah-Hwee Tan
2020 J jnl
Goods Consumed During Transit in Split Delivery Vehicle Routing Problems: Modeling and Solution.
IEEE Access
Wenzhe Yang, Di Wang, Wei Pang, Ah-Hwee Tan, You Zhou
2020 A conf
Hierarchical Reinforcement Learning with Integrated Discovery of Salient Subgoals.
AAMAS
Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2020 J jnl
McDPC: multi-center density peak clustering.
Neural Comput. Appl.
Yizhang Wang, Di Wang, Xiaofeng Zhang, Wei Pang, Chunyan Miao, Ah-Hwee Tan, You Zhou
2020 A* conf
Who Am I?: Towards Social Self-Awareness for Intelligent Agents.
IJCAI
Budhitama Subagdja, Han Yi Tay, Ah-Hwee Tan
2020 J jnl
Who Are the 'Silent Spreaders'?: Contact Tracing in Spatio-Temporal Memory Models.
CoRR
Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin
2019 J jnl
A coordination framework for multi-agent persuasion and adviser systems.
Expert Syst. Appl.
Budhitama Subagdja, Ah-Hwee Tan, Yilin Kang
2019 — ed.
AISS 2019: 2019 International Conference on Advanced Information Science and System, Singapore, November 15-17, 2019
AISS
Alexander Balinsky, Ah-Hwee Tan, Wernhuar Tarng
2019 — book
Adaptive Resonance Theory in Social Media Data Clustering - Roles, Methodologies, and Applications
Lei Meng, Ah-Hwee Tan, Donald C. Wunsch II
2019 A conf
Beyond Autonomy: The Self and Life of Social Agents.
AAMAS
Budhitama Subagdja, Ah-Hwee Tan
2019 — conf
End-to-end Deep Reinforcement Learning for Multi-agent Collaborative Exploration.
ICA
Zichen Chen, Budhitama Subagdja, Ah-Hwee Tan
2019 A* conf
Modelling Autobiographical Memory Loss across Life Span.
AAAI
Di Wang, Ah-Hwee Tan, Chunyan Miao, Ahmed A. Moustafa
2019 — conf
Multi-Agent Collaborative Exploration through Graph-based Deep Reinforcement Learning.
ICA
Tianze Luo, Budhitama Subagdja, Di Wang, Ah-Hwee Tan
2019 — conf
Multi-agent Reinforcement Learning in Spatial Domain Tasks using Inter Subtask Empowerment Rewards.
SSCI
Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan
2019 J jnl
Perception Coordination Network: A Neuro Framework for Multimodal Concept Acquisition and Binding.
IEEE Trans. Neural Networks Learn. Syst.
Youlu Xing, Xiaofeng Shi, Furao Shen, Jinxi Zhao, Jingxin Pan, Ah-Hwee Tan
2019 J jnl
REDPC: A residual error-based density peak clustering algorithm.
Neurocomputing
Milan Deepak Parmar, Di Wang, Xiaofeng Zhang, Ah-Hwee Tan, Chunyan Miao, Jianhua Jiang, You Zhou
2019 J jnl
Salience-aware adaptive resonance theory for large-scale sparse data clustering.
Neural Networks
Lei Meng, Ah-Hwee Tan, Chunyan Miao
2019 J jnl
Self-organizing neural networks for universal learning and multimodal memory encoding.
Neural Networks
Ah-Hwee Tan, Budhitama Subagdja, Di Wang, Lei Meng
2018 J jnl
An interpretable neural fuzzy inference system for predictions of underpricing in initial public offerings.
Neurocomputing
Di Wang, Xiaolin Qian, Chai Quek, Ah-Hwee Tan, Chunyan Miao, Xiaofeng Zhang, Geok See Ng, You Zhou
2018 — conf
Analysis of Public Transportation Patterns in a Densely Populated City with Station-based Shared Bikes.
ICCSE
Di Wang, Evan Wu, Ah-Hwee Tan
2018 — conf
Autonomous Agents in Snake Game via Deep Reinforcement Learning.
ICA
Zhepei Wei, Di Wang, Ming Zhang, Ah-Hwee Tan, Chunyan Miao, You Zhou
2018 A* conf
CRRN: Multi-Scale Guided Concurrent Reflection Removal Network.
CVPR
Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot
2018 J jnl
CRRN: Multi-Scale Guided Concurrent Reflection Removal Network.
CoRR
Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot
2018 — ed.
INNS Conference on Big Data and Deep Learning 2018, Sanur, Bali, Indonesia, 17-19 April 2018
INNS Conference on Big Data
Seiichi Ozawa, Ah-Hwee Tan, Plamen P. Angelov, Asim Roy, Mahardhika Pratama
2018 — conf
Learning Generalized Video Memory for Automatic Video Captioning.
MIWAI
Poo-Hee Chang, Ah-Hwee Tan
2018 A* conf
Perception Coordination Network: A Framework for Online Multi-Modal Concept Acquisition and Binding.
AAAI
Youlu Xing, Furao Shen, Jinxi Zhao, Jingxin Pan, Ah-Hwee Tan
2018 A* conf
Predicting Visual Context for Unsupervised Event Segmentation in Continuous Photo-streams.
ACM Multimedia
Ana Garcia del Molino, Joo-Hwee Lim, Ah-Hwee Tan
2018 J jnl
Predicting Visual Context for Unsupervised Event Segmentation in Continuous Photo-streams.
CoRR
Ana Garcia del Molino, Joo-Hwee Lim, Ah-Hwee Tan
2018 — conf
Probabilistic Guided Exploration for Reinforcement Learning in Self-Organizing Neural Networks.
ICA
Peng Wang, Weigui Jair Zhou, Di Wang, Ah-Hwee Tan
2018 J jnl
Region-Aware Reflection Removal With Unified Content and Gradient Priors.
IEEE Trans. Image Process.
Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Wen Gao, Alex C. Kot
2017 — conf
A novel density peak clustering algorithm based on squared residual error.
SPAC
Milan Deepak Parmar, Di Wang, Ah-Hwee Tan, Chunyan Miao, Jianhua Jiang, You Zhou
2017 A* conf
Active Video Summarization: Customized Summaries via On-line Interaction with the User.
AAAI
Ana Garcia del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan
2017 A* conf
Benchmarking Single-Image Reflection Removal Algorithms.
ICCV
Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot
2017 — conf
EEG-Based Emotion Recognition via Fast and Robust Feature Smoothing.
BI
Cheng Tang, Di Wang, Ah-Hwee Tan, Chunyan Miao
2017 — conf
Elderly friendliness evaluation of mobile assistants.
ICA
Di Wang, Xinjia Yu, Simon Fauvel, Ah-Hwee Tan, Chunyan Miao
2017 A* conf
Encoding and Recall of Spatio-Temporal Episodic Memory in Real Time.
IJCAI
Poo-Hee Chang, Ah-Hwee Tan
2017 — conf
Leveraging the trade-off between accuracy and interpretability in a hybrid intelligent system.
SPAC
Di Wang, Chai Quek, Ah-Hwee Tan, Chunyan Miao, Geok See Ng, You Zhou
2017 — conf
On Active Video Summarization: Customized Summaries via On-Line Interaction with the User.
AAAI Spring Symposia
Ana Garcia del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan
2017 — conf
Robust human activity recognition using lesser number of wearable sensors.
SPAC
Di Wang, Edwin Candinegara, Junhui Hou, Ah-Hwee Tan, Chunyan Miao
2017 J jnl
Semantic Memory Modeling and Memory Interaction in Learning Agents.
IEEE Trans. Syst. Man Cybern. Syst.
Wenwen Wang, Ah-Hwee Tan, Loo-Nin Teow
2017 A conf
Sparsity based reflection removal using external patch search.
ICME
Renjie Wan, Boxin Shi, Ah-Hwee Tan, Alex C. Kot
2017 J jnl
Summarization of Egocentric Videos: A Comprehensive Survey.
IEEE Trans. Hum. Mach. Syst.
Ana Garcia del Molino, Cheston Tan, Joo-Hwee Lim, Ah-Hwee Tan
2017 A* conf
Towards a Brain Inspired Model of Self-Awareness for Sociable Agents.
AAAI
Budhitama Subagdja, Ah-Hwee Tan
2017 — conf
eHealthPortal: A Social Support Hub for the Active Living of the Elderly.
ICCSE
Di Wang, Ah-Hwee Tan
2016 J jnl
Adaptive Scaling of Cluster Boundaries for Large-Scale Social Media Data Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Lei Meng, Ah-Hwee Tan, Donald C. Wunsch
2016 A conf
An Autonomous Agent for Learning Spatiotemporal Models of Human Daily Activities: (Extended Abstract).
AAMAS
Shan Gao, Ah-Hwee Tan
2016 J jnl
Band selection for hyperspectral images using probabilistic memetic algorithm.
Soft Comput.
Liang Feng, Ah-Hwee Tan, Meng-Hiot Lim, Siwei Jiang
2016 B conf
Depth of field guided reflection removal.
ICIP
Renjie Wan, Boxin Shi, Ah-Hwee Tan, Alex C. Kot
2016 — conf
Human-Centred Design for Silver Assistants.
ICA
Zhiwei Zeng, Di Wang, Ailiya Borjigin, Chunyan Miao, Ah-Hwee Tan, Cyril Leung
2016 J jnl
Interactive Teachable Cognitive Agents: Smart Building Blocks for Multiagent Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Budhitama Subagdja, Ah-Hwee Tan
2016 A conf
Modeling Autobiographical Memory in Human-Like Autonomous Agents.
AAMAS
Di Wang, Ah-Hwee Tan, Chunyan Miao
2016 — conf
Modeling human-like non-rationality for social agents.
CASA
Jaroslaw Kochanowicz, Ah-Hwee Tan, Daniel Thalmann
2016 B conf
Self-regulated incremental clustering with focused preferences.
IJCNN
Di Wang, Ah-Hwee Tan
2016 J jnl
Social context cognition crowd-sourcing and semi-automatic parametrization.
Comput. Animat. Virtual Worlds
Jaroslaw Kochanowicz, Ah-Hwee Tan, Daniel Thalmann
2016 J jnl
Towards autonomous behavior learning of non-player characters in games.
Expert Syst. Appl.
Shu Feng, Ah-Hwee Tan
2015 B conf
A comparative study between motivated learning and reinforcement learning.
IJCNN
James T. Graham, Janusz A. Starzyk, Zhen Ni, Haibo He, Teck-Hou Teng, Ah-Hwee Tan
2015 A* conf
An Adaptive Computational Model for Personalized Persuasion.
IJCAI
Yilin Kang, Ah-Hwee Tan, Chunyan Miao
2015 A conf
Beyond Traits: Social Context Based Personality Model.
AAMAS
Jaroslaw Kochanowicz, Ah-Hwee Tan, Daniel Thalmann
2015 — conf
Coordinated Persuasion with Dynamic Group Formation for Collaborative Elderly Care.
WI-IAT (2)
Budhitama Subagdja, Ah-Hwee Tan
2015 J jnl
Creating Autonomous Adaptive Agents in a Real-Time First-Person Shooter Computer Game.
IEEE Trans. Comput. Intell. AI Games
Di Wang, Ah-Hwee Tan
2015 J jnl
Dramaturgical and dissonance theories in explicit social context modeling for complex agents.
Comput. Animat. Virtual Worlds
Jaroslaw Kochanowicz, Ah-Hwee Tan, Daniel Thalmann
2015 — conf
Fast Reinforcement Learning under Uncertainties with Self-Organizing Neural Networks.
WI-IAT (2)
Teck-Hou Teng, Ah-Hwee Tan
2015 A conf
MAP: A Computational Model for Adaptive Persuasion.
AAMAS
Yilin Kang, Ah-Hwee Tan
2015 J jnl
Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems.
Memetic Comput.
Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor W. Tsang
2015 — conf
MyLife: An Online Personal Memory Album.
WI-IAT (3)
Di Wang, Ah-Hwee Tan
2015 J jnl
Neural modeling of sequential inferences and learning over episodic memory.
Neurocomputing
Budhitama Subagdja, Ah-Hwee Tan
2015 — conf
Non-Intrusive Robust Human Activity Recognition for Diverse Age Groups.
WI-IAT (2)
Di Wang, Ah-Hwee Tan, Daqing Zhang
2015 B conf
Online Multimodal Co-indexing and Retrieval of Weakly Labeled Web Image Collections.
ICMR
Lei Meng, Ah-Hwee Tan, Cyril Leung, Liqiang Nie, Tat-Seng Chua, Chunyan Miao
2015 — conf
Progressive Sequence Matching for ADL Plan Recommendation.
WI-IAT (2)
Shan Gao, Di Wang, Ah-Hwee Tan, Chunyan Miao
2015 J jnl
Self-Organizing Neural Networks Integrating Domain Knowledge and Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Teck-Hou Teng, Ah-Hwee Tan, Jacek M. Zurada
2015 — conf
Silver Assistants for Aging-in-Place.
WI-IAT (3)
Di Wang, Budhitama Subagdja, Yilin Kang, Ah-Hwee Tan
2014 — ed.
Brain Informatics and Health - International Conference, BIH 2014, Warsaw, Poland, August 11-14, 2014, Proceedings
Brain Informatics and Health
Dominik Slezak, Ah-Hwee Tan, James F. Peters, Lars Schwabe
2014 A conf
Community Discovery in Social Networks via Heterogeneous Link Association and Fusion.
SDM
Lei Meng, Ah-Hwee Tan
2014 A conf
Declarative-procedural memory interaction in learning agents.
AAMAS
Wenwen Wang, Ah-Hwee Tan, Loo-Nin Teow, Yuan-Sin Tan
2014 — conf
Integrating Motivated Learning and k-Winner-Take-All to Coordinate Multi-agent Reinforcement Learning.
WI-IAT (3)
Teck-Hou Teng, Ah-Hwee Tan, Janusz A. Starzyk, Yuan-Sin Tan, Loo-Nin Teow
2014 B conf
Integrating self-organizing neural network and Motivated Learning for coordinated multi-agent reinforcement learning in multi-stage stochastic game.
IJCNN
Teck-Hou Teng, Ah-Hwee Tan, Janusz A. Starzyk, Yuan-Sin Tan, Loo-Nin Teow
2014 B conf
Mobile humanoid agent with mood awareness for elderly care.
IJCNN
Di Wang, Ah-Hwee Tan
2014 A conf
On coordinating pervasive persuasive agents.
AAMAS
Budhitama Subagdja, Ah-Hwee Tan
2014 J jnl
Semi-Supervised Heterogeneous Fusion for Multimedia Data Co-Clustering.
IEEE Trans. Knowl. Data Eng.
Lei Meng, Ah-Hwee Tan, Dong Xu
2014 — conf
Towards intelligent caring agents for Aging-In-Place: Issues and challenges.
CIHLI
Di Wang, Budhitama Subagdja, Yilin Kang, Ah-Hwee Tan, Daqing Zhang
2014 B conf
User daily activity pattern learning: A multi-memory modeling approach.
IJCNN
Shan Gao, Ah-Hwee Tan
2013 J jnl
Adaptive computer-generated forces for simulator-based training.
Expert Syst. Appl.
Teck-Hou Teng, Ah-Hwee Tan, Loo-Nin Teow
2013 — ed.
Ambient Intelligence - 4th International Joint Conference, AmI 2013, Dublin, Ireland, December 3-5, 2013. Proceedings
AmI
Juan Carlos Augusto, Reiner Wichert, Rem W. Collier, David V. Keyson, Albert Ali Salah, Ah-Hwee Tan
2013 J jnl
Cooperative reinforcement learning in topology-based multi-agent systems.
Auton. Agents Multi Agent Syst.
Dan Xiao, Ah-Hwee Tan
2013 — conf
Delayed insertion and rule effect moderation of domain knowledge for reinforcement learning.
ADPRL
Teck-Hou Teng, Ah-Hwee Tan
2013 A conf
Enabling generative, emergent artificial culture.
AAMAS
Jaroslaw Kochanowicz, Ah-Hwee Tan, Daniel Thalmann
2013 J jnl
Extreme learning machine terrain-based navigation for unmanned aerial vehicles.
Neural Comput. Appl.
Ee-May Kan, Meng-Hiot Lim, Yew-Soon Ong, Ah-Hwee Tan, Swee-Ping Yeo
2013 B conf
Self-organizing Cognitive Models for Virtual Agents.
IVA
Yilin Kang, Ah-Hwee Tan
2013 B conf
Vigilance adaptation in adaptive resonance theory.
IJCNN
Lei Meng, Ah-Hwee Tan, Donald C. Wunsch
2012 B conf
A biologically-inspired affective model based on cognitive situational appraisal.
IJCNN
Feng Shu, Ah-Hwee Tan
2012 J jnl
A non-parametric visual-sense model of images - extending the cluster hypothesis beyond text.
Multim. Tools Appl.
Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia
2012 B conf
A self-organizing multi-memory system for autonomous agents.
IJCNN
Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan, Yuan-Sin Tan
2012 C conf
Adaptive CGF for pilots training in air combat simulation.
FUSION
Teck-Hou Teng, Ah-Hwee Tan, Wee-Sze Ong, Kien-Lip Lee
2012 — conf
Agent-Based Virtual Humans in Co-Space: An Evaluative Study.
IAT
Yilin Kang, Ah-Hwee Tan, Fiona Fui-Hoon Nah
2012 B conf
An evolutionary search paradigm that learns with past experiences.
IEEE Congress on Evolutionary Computation
Liang Feng, Yew-Soon Ong, Ivor Wai-Hung Tsang, Ah-Hwee Tan
2012 — conf
FAME, Soft Flock Formation Control for Collective Behavior Studies and Rapid Games Development.
SEAL
Choon Sing Ho, Yew-Soon Ong, Xianshun Chen, Ah-Hwee Tan
2012 C conf
Investigating Intelligent Agents in a 3D Virtual World.
ICIS
Yilin Kang, Fiona Fui-Hoon Nah, Ah-Hwee Tan
2012 — conf
Knowledge-Based Exploration for Reinforcement Learning in Self-Organizing Neural Networks.
IAT
Teck-Hou Teng, Ah-Hwee Tan
2012 J jnl
Meme as Building Block for Evolutionary Optimization of Problem Instances
CoRR
Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor Wai-Hung Tsang
2012 A conf
Memory formation, consolidation, and forgetting in learning agents.
AAMAS
Budhitama Subagdja, Wenwen Wang, Ah-Hwee Tan, Yuan-Sin Tan, Loo-Nin Teow
2012 J jnl
Motivated learning for the development of autonomous systems.
Cogn. Syst. Res.
Janusz A. Starzyk, James T. Graham, Pawel Raif, Ah-Hwee Tan
2012 J jnl
Neural Modeling of Episodic Memory: Encoding, Retrieval, and Forgetting.
IEEE Trans. Neural Networks Learn. Syst.
Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan, Janusz A. Starzyk
2012 — conf
Preface: Trends in Natural and Machine Intelligence.
INNS-WC
Jonathan H. Chan, Ah-Hwee Tan
2012 — ed.
Proceedings of the 3rd International Neural Network Society Winter Conference, INNS-WC 2012, Bangkok, Thailand, October 3-5, 2012
INNS-WC
Jonathan H. Chan, Ah-Hwee Tan
2012 — conf
Self-Regulating Action Exploration in Reinforcement Learning.
INNS-WC
Teck-Hou Teng, Ah-Hwee Tan, Yuan-Sin Tan
2012 B conf
Self-organizing neural networks for learning air combat maneuvers.
IJCNN
Teck-Hou Teng, Ah-Hwee Tan, Yuan-Sin Tan, Adrian Yeo
2012 B conf
Semi-supervised hierarchical clustering for personalized web image organization.
IJCNN
Lei Meng, Ah-Hwee Tan
2012 B conf
Topic Based Query Suggestions for Video Search.
MMM
Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia
2012 A conf
Virtual characters in agent-augmented co-space (demonstration).
AAMAS
Yilin Kang, Budhitama Subagdja, Ah-Hwee Tan, Yew-Soon Ong, Chunyan Miao
2012 J jnl
iFALCON: A neural architecture for hierarchical planning.
Neurocomputing
Budhitama Subagdja, Ah-Hwee Tan
2011 J jnl
A hybrid agent architecture integrating desire, intention and reinforcement learning.
Expert Syst. Appl.
Ah-Hwee Tan, Yew-Soon Ong, Akejariyawong Tapanuj
2011 A conf
A simple curious agent to help people be curious.
AAMAS
Han Yu, Zhiqi Shen, Chunyan Miao, Ah-Hwee Tan
2011 A conf
Learning Feature Dependencies for Noise Correction in Biomedical Prediction.
SDM
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
2011 B conf
Towards human-like social multi-agents with memetic automaton.
IEEE Congress on Evolutionary Computation
Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Xianshun Chen
2010 — conf
A Biologically-Inspired Cognitive Agent Model Integrating Declarative Knowledge and Reinforcement Learning.
IAT
Ah-Hwee Tan, Gee Wah Ng
2010 B conf
A self-organizing approach to episodic memory modeling.
IJCNN
Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan, Janusz A. Starzyk
2010 J jnl
A self-organizing neural architecture integrating desire, intention and reinforcement learning.
Neurocomputing
Ah-Hwee Tan, Yu-Hong Feng, Yew-Soon Ong
2010 C conf
Agent-Augmented Co-Space: Toward Merging of Real World and Cyberspace.
ATC
Ah-Hwee Tan, Yilin Kang
2010 J jnl
CRCTOL: A semantic-based domain ontology learning system.
J. Assoc. Inf. Sci. Technol.
Xing Jiang, Ah-Hwee Tan
2010 J jnl
Creating an Immersive Game World with Evolutionary Fuzzy Cognitive Maps.
IEEE Computer Graphics and Applications
Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen, Boyang Li
2010 — conf
DIRACT: Agent-Based Interactive Storytelling.
IAT
Yundong Cai, Zhiqi Shen, Chunyan Miao, Ah-Hwee Tan
2010 A conf
Faceted topic retrieval of news video using joint topic modeling of visual features and speech transcripts.
ICME
Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia
2010 — conf
Learning Personal Agents with Adaptive Player Modeling in Virtual Worlds.
IAT
Yilin Kang, Ah-Hwee Tan
2010 B conf
Mental development and representation building through motivated learning.
IJCNN
Janusz A. Starzyk, Pawel Raif, Ah-Hwee Tan
2010 B conf
Self-organizing agents for reinforcement learning in virtual worlds.
IJCNN
Yilin Kang, Ah-Hwee Tan
2010 B conf
Self-organizing neural networks for behavior modeling in games.
IJCNN
Shu Feng, Ah-Hwee Tan
2010 B conf
Towards probabilistic memetic algorithm: An initial study on capacitated arc routing problem.
IEEE Congress on Evolutionary Computation
Liang Feng, Yew-Soon Ong, Quang Huy Nguyen, Ah-Hwee Tan
2010 J jnl
Wikipedia2Onto. Building Concept Ontology Automatically, Experimenting with Web Image Retrieval.
Informatica (Slovenia)
Huan Wang, Xing Jiang, Liang-Tien Chia, Ah-Hwee Tan
2010 C conf
Youth Olympic Village Co-space.
CW
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, Chunyan Miao
2009 A conf
A Bayesian approach integrating regional and global features for image semantic learning.
ICME
Luong-Dong Nguyen, Ghim-Eng Yap, Ying Liu, Ah-Hwee Tan, Liang-Tien Chia, Joo-Hwee Lim
2009 A conf
A Latent Model for Visual Disambiguation of Keyword-based Image Search.
BMVC
Kong-Wah Wan, Ah-Hwee Tan, Joo-Hwee Lim, Liang-Tien Chia, Sujoy Roy
2009 — conf
A self-organizing neural network architecture for intentional planning agents.
AAMAS (2)
Budhitama Subagdja, Ah-Hwee Tan
2009 J jnl
Coherent Phrase Model for Efficient Image Near-Duplicate Retrieval.
IEEE Trans. Multim.
Yiqun Hu, Xiangang Cheng, Liang-Tien Chia, Xing Xie, Deepu Rajan, Ah-Hwee Tan
2009 J jnl
Learning Image-Text Associations.
IEEE Trans. Knowl. Data Eng.
Tao Jiang, Ah-Hwee Tan
2009 J jnl
Learning and inferencing in user ontology for personalized Semantic Web search.
Inf. Sci.
Xing Jiang, Ah-Hwee Tan
2009 J jnl
Mining globally distributed frequent subgraphs in a single labeled graph.
Data Knowl. Eng.
Xing Jiang, Hui Xiong, Chen Wang, Ah-Hwee Tan
2009 — conf
Modeling Believable Virtual Characters with Evolutionary Fuzzy Cognitive Maps in Interactive Storytelling.
AAAI Spring Symposium: Intelligent Narrative Technologies II
Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen
2009 J jnl
Modelling situation awareness for Context-aware Decision Support.
Expert Syst. Appl.
Yu-Hong Feng, Teck-Hou Teng, Ah-Hwee Tan
2009 C ed.
Ubiquitous Intelligence and Computing, 6th International Conference, UIC 2009, Brisbane, Australia, July 7-9, 2009. Proceedings
UIC
Daqing Zhang, Marius Portmann, Ah-Hwee Tan, Jadwiga Indulska
2008 J jnl
A fast pruned-extreme learning machine for classification problem.
Neurocomputing
Hai-Jun Rong, Yew-Soon Ong, Ah-Hwee Tan, Zexuan Zhu
2008 C conf
A self-organizing neural model for multimedia information fusion.
FUSION
Luong-Dong Nguyen, Kia-Yan Woon, Ah-Hwee Tan
2008 — conf
Cognitive Agents Integrating Rules and Reinforcement Learning for Context-Aware Decision Support.
IAT
Teck-Hou Teng, Ah-Hwee Tan
2008 B conf
Context modeling with Evolutionary Fuzzy Cognitive Map in interactive storytelling.
FUZZ-IEEE
Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen
2008 J jnl
Explaining inferences in Bayesian networks.
Appl. Intell.
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
2008 J jnl
Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning With Delayed Evaluative Feedback.
IEEE Trans. Neural Networks
Ah-Hwee Tan, N. Lu, Dan Xiao
2008 — conf
Ontology enhanced web image retrieval: aided by wikipedia & spreading activation theory.
Multimedia Information Retrieval
Huan Wang, Xing Jiang, Liang-Tien Chia, Ah-Hwee Tan
2008 — conf
Planning with iFALCON: Towards A Neural-Network-Based BDI Agent Architecture.
IAT
Budhitama Subagdja, Ah-Hwee Tan
2008 — conf
Scaling Up Multi-agent Reinforcement Learning in Complex Domains.
IAT
Dan Xiao, Ah-Hwee Tan
2008 B conf
Self-organizing neural models integrating rules and reinforcement learning.
IJCNN
Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan
2007 — conf
A Hybrid of Plot-Based and Character-Based Interactive Storytelling.
Edutainment
Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen
2007 A* conf
Direct Code Access in Self-Organizing Neural Networks for Reinforcement Learning.
IJCAI
Ah-Hwee Tan
2007 J jnl
Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders.
IEEE Trans. Knowl. Data Eng.
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
2007 J jnl
Integrated cognitive architectures: a survey.
Artif. Intell. Rev.
Hui-Qing Chong, Ah-Hwee Tan, Gee Wah Ng
2007 — conf
Integrating Semantic Templates with Decision Tree for Image Semantic Learning.
MMM (2)
Ying Liu, Dengsheng Zhang, Guojun Lu, Ah-Hwee Tan
2007 — conf
Intelligence Through Interaction: Towards a Unified Theory for Learning.
ISNN (1)
Ah-Hwee Tan, Gail A. Carpenter, Stephen Grossberg
2007 A* conf
Learning Causal Models for Noisy Biological Data Mining: An Application to Ovarian Cancer Detection.
AAAI
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
2007 J jnl
Mining Generalized Associations of Semantic Relations from Textual Web Content.
IEEE Trans. Knowl. Data Eng.
Tao Jiang, Ah-Hwee Tan, Ke Wang
2007 — conf
S-MADE: Interactive Storytelling Architecture through Goal Execution and Decomposition.
AAAI Fall Symposium: Intelligent Narrative Technologies
Yundong Cai, Zhiqi Shen, Chunyan Miao, Ah-Hwee Tan
2007 J jnl
Self-Organizing Neural Architectures and Cooperative Learning in a Multiagent Environment.
IEEE Trans. Syst. Man Cybern. Part B
Dan Xiao, Ah-Hwee Tan
2007 B conf
The Multi-Agent Data Collection in HLA-Based Simulation System.
PADS
Hengjie Song, Zhiqi Shen, Chunyan Miao, Ah-Hwee Tan, Guopeng Zhao
2006 B conf
A Hybrid Architecture Combining Reactive Plan Execution and Reactive Learning.
PRICAI
Samin Karim, Liz Sonenberg, Ah-Hwee Tan
2006 — ed.
Data Mining for Biomedical Applications, PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006, Proceedings
BioDM
Jinyan Li, Qiang Yang, Ah-Hwee Tan
2006 B conf
Discovering Causal Dependencies in Mobile Context-Aware Recommenders.
MDM
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
2006 — conf
Discovering Image-Text Associations for Cross-Media Web Information Fusion.
PKDD
Tao Jiang, Ah-Hwee Tan
2006 — conf
Fuzzy cognitive goal net for interactive storytelling plot design.
Advances in Computer Entertainment Technology
Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen
2006 A* conf
Learning and inferencing in user ontology for personalized semantic web services.
WWW
Xing Jiang, Ah-Hwee Tan
2006 C conf
Mining RDF Metadata for Generalized Association Rules.
DEXA
Tao Jiang, Ah-Hwee Tan
2006 A* conf
Mining RDF metadata for generalized association rules: knowledge discovery in the semantic web era.
WWW
Tao Jiang, Ah-Hwee Tan
2006 A* conf
OntoSearch: A Full-Text Search Engine for the Semantic Web.
AAAI
Xing Jiang, Ah-Hwee Tan
2006 — conf
Self-organizing Neural Architecture for Reinforcement Learning.
ISNN (1)
Ah-Hwee Tan
2006 — conf
Wireless Indoor Positioning System with Enhanced Nearest Neighbors in Signal Space Algorithm.
VTC Fall
Quang Tran, Juki Wirawan Tantra, Chuan Heng Foh, Ah-Hwee Tan, Kin Choong Yow, Dongyu Qiu
2005 B conf
Dynamically-optimized context in recommender systems.
Mobile Data Management
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
2005 A* conf
Mining Ontological Knowledge from Domain-Specific Text Documents.
ICDM
Xing Jiang, Ah-Hwee Tan
2005 J jnl
Predictive neural networks for gene expression data analysis.
Neural Networks
Ah-Hwee Tan, Hong Pan
2005 — conf
Self-Organizing Cognitive Agents and Reinforcement Learning in Multi-Agent Environment.
IAT
Ah-Hwee Tan, Dan Xiao
2004 B conf
FALCON: a fusion architecture for learning, cognition, and navigation.
IJCNN
Ah-Hwee Tan
2004 J jnl
Modified ART 2A growing network capable of generating a fixed number of nodes.
IEEE Trans. Neural Networks
Ji He, Ah-Hwee Tan, Chew Lim Tan
2004 J jnl
Towards personalised web intelligence.
Knowl. Inf. Syst.
Ah-Hwee Tan, Hwee-Leng Ong, Hong Pan, Jamie Ng, Qiu-Xiang Li
2003 J jnl
Guest Editorial: Text and Web Mining.
Appl. Intell.
Ah-Hwee Tan, Philip S. Yu
2003 A* conf
Mining Semantic Networks for Knowledge Discovery.
ICDM
Kanagasabai Rajaraman, Ah-Hwee Tan
2003 J jnl
On Machine Learning Methods for Chinese Document Categorization.
Appl. Intell.
Ji He, Ah-Hwee Tan, Chew Lim Tan
2003 — ch.
On Quantitative Evaluation of Clustering Systems.
Clustering and Information Retrieval
Ji He, Ah-Hwee Tan, Chew Lim Tan, Sam Yuan Sung
2003 B conf
Self-organizing neural networks for efficient clustering of gene expression data.
IJCNN
Ji He, Ah-Hwee Tan, Chew Lim Tan
2003 — ch.
Web Structure Analysis for Information Mining.
Web Document Analysis
Vijjappu Lakshmi, Ah-Hwee Tan, Chew Lim Tan
2002 B conf
Adding Personality to Information Clustering.
PAKDD
Ah-Hwee Tan, Hong Pan
2002 A conf
Knowledge discovery from texts: a concept frame graph approach.
CIKM
Kanagasabai Rajaraman, Ah-Hwee Tan
2002 J jnl
Organizing and personalizing intelligence gathering from the web.
Intell. Syst. Account. Finance Manag.
Hwee-Leng Ong, Ah-Hwee Tan, Jamie Ng, Hong Pan, Qiu-Xiang Li
2002 B conf
Personalized information management for Web intelligence.
FUZZ-IEEE
Ah-Hwee Tan
2001 A conf
FOCI: Flexible Organizer for Competitive Intelligence.
CIKM
Hwee-Leng Ong, Ah-Hwee Tan, Jamie Ng, Hong Pan, Qiu-Xiang Li
2001 B conf
Predictive Self-Organizing Networks for Text Categorization.
PAKDD
Ah-Hwee Tan
2001 B conf
Topic Detection, Tracking, and Trend Analysis Using Self-Organizing Neural Networks.
PAKDD
Kanagasabai Rajaraman, Ah-Hwee Tan
2000 — conf
A Comparative Study on Chinese Text Categorization Methods.
PRICAI Workshop on Text and Web Mining
Ji He, Ah-Hwee Tan, Chew Lim Tan
2000 B conf
Predictive Adaptive Resonance Theory and Knowledge Discovery in Databases.
PAKDD
Ah-Hwee Tan, Hui-Shin Vivien Soon
2000 — ed.
Proceedings of the International Workshop on Text and Web Mining, Melbourne, Australia, August 2000
PRICAI Workshop on Text and Web Mining
Ah-Hwee Tan, Philip S. Yu
1997 J jnl
Cascade ARTMAP: integrating neural computation and symbolic knowledge processing.
IEEE Trans. Neural Networks
Ah-Hwee Tan
1997 J jnl
Inductive neural logic network and the SCM algorithm.
Neurocomputing
Ah-Hwee Tan, Loo-Nin Teow
1996 B conf
An Application of Hierarchical Knowledge Integration in Hand-Written Form Processing.
PRICAI
Fon-Lin Lai, Joo-Hwee Lim, Liya Ding, Ah-Hwee Tan, Ho-Chung Lui
1996 J jnl
Concept Hierarchy Memory Model: a Neural Architecture for Conceptual Knowledge Representation, Learning, and Commonsense Reasoning.
Int. J. Neural Syst.
Ah-Hwee Tan, Hui-Shin Vivien Soon
1995 — conf
Adaptive integration of multiple experts.
ICNN
Loo-Nin Teow, Ah-Hwee Tan
1995 J jnl
Adaptive resonance associative map.
Neural Networks
Ah-Hwee Tan
1995 — conf
Integrating rules and neural computation.
ICNN
Ah-Hwee Tan
1995 — conf
Learning by supervised clustering and matching.
ICNN
Ah-Hwee Tan, Loo-Nin Teow
1991 J jnl
Connectionist Expert System with Adaptive Learning Capability.
IEEE Trans. Knowl. Data Eng.
Boon Toh Low, H. C. Lui, Ah-Hwee Tan, H. H. Teh
1990 B conf
INSIDE: a neuronet based hardware fault diagnostic system.
IJCNN
Ah-Hwee Tan, Q. Pan, H. C. Lui, H. H. Teh