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Author

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

PIGNN3D introduces architectural simplifications and optimized message passing to significantly accelerate training and reduce memory usage, while preserving the physical consistency of CFD-based modelling, bringing artificial intelligence (AI)-driven thermal simulation closer to practical deployment for speedy and sus...

Yi-Di Wang, Aik Beng Ng, Simon See 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
#small language model Open access Sep 2026

ShalDeepDP: A Survey and Comparison of Data Poisoning in Statistical, Classical Deep Learning and Foundation Models

Advances in real-world adversarial threats have heightened concerns over the privacy and security of AI systems. One key threat is Data Poisoning, where malicious data is injected into training sets or model inputs to compromise model behavior. While much of the current research focuses on deep learning, particularly F...

Jia Yi Chan, Huaqun Guo, Timothy Liu et al. · 0 citations
#small language model Open access Sep 2026

ShalDeepDP: A Survey and Comparison of Data Poisoning in Statistical, Classical Deep Learning and Foundation Models

Advances in real-world adversarial threats have heightened concerns over the privacy and security of AI systems. One key threat is Data Poisoning, where malicious data is injected into training sets or model inputs to compromise model behavior. While much of the current research focuses on deep learning, particularly F...

Jia Yi Chan, Huaqun Guo, Timothy Liu et al. · 0 citations

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