AISG Research Collaborative Project with US-NSF Researchers
Ensuring that AI systems are trustworthy and reliable is crucial for advancing artificial intelligence capabilities…
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PINNACLE: PINN Adaptive ColLocation and Experimental Points Selection
As we all know, deep learning has been applied with great success to domains with…
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BadEdit: Backdooring Large Language Models By Model Editing
Large Language Models (LLMs) exemplified by ChatGPT continue to gain widespread usage in addressing a…
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Towards Robust and Expressive Whole-body Human Pose and Shape Estimation
Introduction Given a single RGB image, 3D human pose and shape estimation aims to reconstruct…
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Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only
Multi-label learning Multi-label learning is commonly exploited to recognize a set of categories in an…
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Utilizing Symbolic Regression to discover a larger class of splits for Decision Trees
This work is based on the paper: K.S. Fong and M. Motani, “Symbolic Regression Enhanced…
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Learning to Generate Unbounded 3D Scenes from Image Collections
Introduction Scene generation has raised considerable attention in recent years, addressing the growing need…
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Quasi-Newton Methods in the Big Data Era
Introduction and Background In this article, I will give a brief introduction to quasi-Newton methods…
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SAM-Adapter: Finetune Your Own Segment Anything Model in an Effective and Efficient Manner
AI research has witnessed a paradigm shift with models trained on vast amounts of data…
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HI-Concept: Explaining Language Model Predictions with High-Impact Concepts
Over the past few years, large language models (LLMs) have achieved tremendous progress, leading them…
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InsActor: Instruction-driven Physics-based Characters
Introduction Generating life-like natural motions in a simulated environment has been the focus of physics-based…
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Elegant Image Domain Translation: A Diffusion-based Mechanism with Label Guidance
Here, we handle the research of Image Domain Translation in Semantic Segmentation. Imagine teaching a…
