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Works9 from public data

TitleCited by
  • Multiobjective Deep Reinforcement Learning for Recommendation Systems

    Yeo Keat Ee, Nurfadhlina Mohd Sharef, Razali Yaakob, Khairul Azhar Kasmiran, Erzam Marlisah, Norwati Mustapha, Maslina Zolkepli

    IEEE Access · 2022

    The results demonstrated that deep reinforcement learning approaches has superiority performance in MO optimization, and its capability of recommending precise item along with achieving high novelty and diversity against the benchmark that using probabilistic based multi-objective approach based on evolutionary algorithm (PMOEA).

    33
  • LSTM Based Recurrent Enhancement of DQN for Stock Trading

    Yeo Keat Ee, Nurfadhlina Mohd Sharef, Razali Yaakob, Khairul Azhar Kasmiran

    2020 IEEE Conference on Big Data and Analytics (ICBDA) · 2020

    9
  • Imore: Implicit Program-Guided Reasoning for Human Motion QA

    Chen Li, Chinthani Sugandhika, Yeo Keat Ee, Eric Peh, Hao Zhang, Hong Yang, Deepu Rajan, Basura Fernando

    IEEE/CVF International Conference on Computer Vision (ICCV) · 2025

    This work proposes an implicit program-guided motion reasoning (IMoRe) framework that unifies reasoning across multiple query types without manually designed modules, and introduces a program-guided reading mechanism that dynamically selects multi-level motion representations from a pretrained motion Vision Transformer.

    7
  • RCA: Region Conditioned Adaptation for Visual Abductive Reasoning

    Hao Zhang, Yeo Keat Ee, Basura Fernando

    ACM International Conference on Multimedia (ACM MM) · 2024

    A simple yet effective Region Conditioned Adaptation is proposed, a hybrid parameter-efficient fine-tuning method that equips the frozen CLIP with the ability to infer explanations from local visual cues, and is generalizable to local perception benchmarks like RefCOCO.

    6
  • Geospatial Features Influencing the Formation of COVID-19 Clusters

    Radiah Haque, Choo‐Yee Ting, Yeo Keat Ee, Keng-Hoong Ng, Mohamed Shaaban, Chih-Yang Pee, Lai-Kuan Wong, Dhesi Baha Raja

    Journal of System and Management Sciences · 2022

    The findings in this paper help to recognize the geospatial features that have impacts on the formation of COVID-19 and other infectious disease clusters at local scale.

    4
  • Deduce and Select Evidences with Language Models for Training-Free Video Goal Inference

    Yeo Keat Ee, Hao Zhang, Alexander Matyasko, Basura Fernando

    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · 2025

    2
  • PKR-QA: A Benchmark for Procedural Knowledge Reasoning with Knowledge Module Learning

    Association for Artificial Intelligence 2026, Basura Fernando, Yeo Keat Ee, Tzeh Neoh, Thanh-Son Nguyen, YANG, HONG, Hao Zhang

    Underline Science Inc. · 2026

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  • Improving Temporal Action Segmentation via Constraint-Aware Decoding

    Yeo Keat Ee, Debaditya Roy, Chen Li, Hao Zhang, Basura Fernando

    Lecture notes in computer science · 2026

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  • Training-Free Action Recognition and Goal Inference with Dynamic Frame Selection

    Yeo Keat Ee, Hao, Zhang, Alexander Matyasko, Basura Fernando

    arXiv · 2024

    This work introduces an adaptable framework that efficiently combines both the frozen vision-language (VL) model and off-the-shelf large language model (LLM) for conducting zero-shot open-ended inference tasks without requiring any additional training or tuning.

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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.

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