World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
9018
World Ranking
7157
National Ranking
95

Overview

Ah-Hwee Tan is affiliated with Singapore Management University in Singapore and primarily works in the field of Computer Science. Their research spans several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Management Science and Operations Research, and Information Systems.

The main topics covered in their research include:

  • Reinforcement Learning in Robotics
  • Topic Modeling
  • Data Stream Mining Techniques
  • Sentiment Analysis and Opinion Mining
  • Advanced Text Analysis Techniques
  • Robotic Path Planning Algorithms
  • Advanced Graph Neural Networks

Tan has contributed multiple papers to several recognized publication venues. The most frequent venues for their work are:

  • IEEE Transactions on Neural Networks and Learning Systems
  • Expert Systems with Applications
  • Neural Computing and Applications
  • arXiv (Cornell University)
  • ACM Computing Surveys

Some recent publications include:

  • Hierarchical Reinforcement Learning, 2021, ACM Computing Surveys
  • McDPC: multi-center density peak clustering, 2020, Neural Computing and Applications
  • End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • A systematic density-based clustering method using anchor points, 2020, Neurocomputing
  • MSRL-Net: A multi-level semantic relation-enhanced learning network for aspect-based sentiment analysis, 2023, Expert Systems with Applications

Frequent coauthors of Ah-Hwee Tan include:

  • Budhitama Subagdja
  • Shubham Pateria
  • Chai Quek
  • Di Wang
  • Zhenda Hu

Best Publications

  • Text Mining: The state of the art and the challenges

    Ah-Hwee Tan;Heng Mui;Keng Terrace

  • A fast pruned-extreme learning machine for classification problem

    Hai-Jun Rong;Yew-Soon Ong;Ah-Hwee Tan;Zexuan Zhu

  • Hierarchical Reinforcement Learning: A Comprehensive Survey

    Shubham Pateria;Budhitama Subagdja;Ah-hwee Tan;Chai Quek

  • Method and system for discovering knowledge from text documents using associating between concepts and sub-concepts

    Ah Hwee Tan;Rajaraman Kanagasabai

  • Rule Extraction: From Neural Architecture to Symbolic Representation

    Gail A. Carpenter;Ah-Hwee Tan

  • Benchmarking Single-Image Reflection Removal Algorithms

    Renjie Wan;Boxin Shi;Ling-Yu Duan;Ah-Hwee Tan

  • Learning and inferencing in user ontology for personalized Semantic Web search

    Xing Jiang;Ah-Hwee Tan

  • Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning With Delayed Evaluative Feedback

    Ah-Hwee Tan;Ning Lu;Dan Xiao

  • On Quantitative Evaluation of Clustering Systems.

    Ji He;Ah-Hwee Tan;Chew Lim Tan;Sam Yuan Sung

  • Integrated cognitive architectures: a survey

    Hui-Qing Chong;Ah-Hwee Tan;Gee-Wah Ng

  • CRCTOL: A semantic-based domain ontology learning system

    Xing Jiang;Ah-Hwee Tan

  • Modelling situation awareness for Context-aware Decision Support

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

  • Cascade ARTMAP: integrating neural computation and symbolic knowledge processing

    Ah-Hwee Tan

  • Adaptive resonance associative map

    Ah-Hwee Tan

  • CRCTOL: A semantic-based domain ontology learning system

    Unknown

  • Depth of field guided reflection removal

    Renjie Wan;Boxin Shi;Tan Ah Hwee;Alex C. Kot

  • Intelligence Through Interaction: Towards a Unified Theory for Learning

    Ah-Hwee Tan;Gail A. Carpenter;Stephen Grossberg

  • CRRN: Multi-scale Guided Concurrent Reflection Removal Network

    Renjie Wan;Boxin Shi;Ling-Yu Duan;Ah-Hwee Tan

  • Summarization of Egocentric Videos: A Comprehensive Survey

    Ana Garcia del Molino;Cheston Tan;Joo-Hwee Lim;Ah-Hwee Tan

  • Learning user profiles for personalized information dissemination

    Ah-Hwee Tan;C. Teo

  • Neural Modeling of Episodic Memory: Encoding, Retrieval, and Forgetting

    Wenwen Wang;B. Subagdja;Ah-Hwee Tan;J. A. Starzyk

  • A Comparative Study on Chinese Text Categorization Methods.

    Ji He;Ah-Hwee Tan;Chew Lim Tan

Frequent Co-Authors

Chunyan Miao
Chunyan Miao Nanyang Technological University
Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University
Joo-Hwee Lim
Joo-Hwee Lim Agency for Science, Technology and Research
Zhiqi Shen
Zhiqi Shen Nanyang Technological University
Donald C. Wunsch
Donald C. Wunsch Missouri University of Science and Technology
Chew Lim Tan
Chew Lim Tan National University of Singapore
Liang Feng
Liang Feng Chongqing University
Boxin Shi
Boxin Shi Peking University
Alex C. Kot
Alex C. Kot Nanyang Technological University
Ling-Yu Duan
Ling-Yu Duan Peking University

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