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Aik Beng Ng

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#artificial intelligence Open access Oct 2026

PIGNN3D: an accelerated physics-informed graph neural network for 3D thermal field simulation in data centers

Efficient thermal management is critical in data centers, where computational fluid dynamics (CFD) simulations provide high-fidelity airflow and temperature predictions but remain computationally demanding and time-intensive. While data-driven methods have emerged as promising alternatives, most existing works are limi...

Yi-Di Wang, Aik Beng Ng, Simon See et al. · 0 citations
Book Open access Sep 2026

ReLA: Representation Learning and Aggregation for Scalable Job Scheduling with Reinforcement Learning

ReLA is an RL scheduler built on structured representation learning and aggregation that learns intra-entity representations using self-attention and convolution, captures inter-entity operation–machine interactions using cross-attention, and aggregates multi-scale representations for parallel actor-based scoring of fe...

Zheng-Yi Kwan, Wei Zhang, Aik Beng Ng et al. · 0 citations
#artificial intelligence Preprint Sep 2026

SynDORBench: Evaluating LVLM Perceptual Robustness Under Physically Constrained Visibility Conditions

Large vision-language models (LVLMs) have demonstrated remarkable performance on multimodal reasoning benchmarks, yet their perceptual reliability under physically constrained imaging conditions remains poorly understood. Existing evaluations predominantly assume ideal visual inputs and therefore fail to characterize h...

Jeremy Stephen Gabriel Yee, Zheng-Kui Wang, Zhi-Yu Zhang et al. · 0 citations
#reinforcement learning Book Open access Sep 2026

ReLA: Representation Learning and Aggregation for Scalable Job Scheduling with Reinforcement Learning

Large-scale job scheduling is a classic problem in computing systems and industrial operations, where complex workloads, workflows, or ordered job operations must be assigned to computing nodes or machines under resource, precedence, and availability constraints. Existing solvers can provide useful reference solutions,...

Zheng-Yi Kwan, Wei Zhang, Aik Beng Ng et al. · 0 citations
#robotics Jul 2026

PACE: Persona Adaptation through Conversational Elicitation in Human-Robot Interaction

PACE (Persona Adaptation through Conversational Elicitation), a novel framework for the interactive generation and deployment of structured personas on the Ameca humanoid robot, introduces an Interactive Persona Elicitation Pipeline, enabling the robot to dynamically synthesize a tailored, psychologically grounded iden...

Peizhen Li, Longbing Cao, Megani Rajendran et al. · 0 citations

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