This talk will address the critical challenge of ensuring the robustness of graph learning models by walking through a structured, three-step processing pipeline. We will begin by dissecting adversarial attacks, exploring how graph-structured data can be subtly manipulated to mislead model predictions. The discussion will then pivot to defense strategies, first covering empirical defense methods that have shown practical promise but lack formal guarantees. Subsequently, we will delve into the more rigorous field of certified...

Modern global supply chains exhibit complex, multi-tier dependencies that remain largely invisible to decision-makers, creating vulnerabilities to cascading disruptions. This presentation introduces a novel AI-driven methodology that combines data scraping, generative AI, and network science to illuminate deep-tier supply chain networks and quantify systemic risks. The approach leverages diverse data sources—including 10-K filings, earnings calls, and trade databases—to construct large-scale supply chain networks spanning over 55,000 firms, 230,000 relationships, 93 countries, and 278 industries, enabling...

Dr. Tsao will present human genetic and basic science studies investigating abdominal aortic aneurysm (AAA), a common life-threatening condition in which progressive enlargement of the infrarenal aorta can lead to rupture and death. Current literature indicates that AAA has both genetic and environmental components that affect disease development and progression, but gene-environmental interactions have been minimally investigated.  His talk will discuss examples of areas where gene variation and environmental factors combine to accelerate AAA pathobiology....

Unlike previous generations of wireless networks, which were primarily designed to meet the requirements of human communications, 5G networks enable extensive data collection from machines. As we transition to 6G, the emphasis moves beyond connectivity toward leveraging this machine-generated data for a new spectrum of control applications, such as UAV swarms, collaborative robots, and cooperative autonomous vehicles. Designing communication systems for these advanced control applications introduces a distinct set of challenges. These include meeting stringent...

针对电子计算能耗墙、内存墙等瓶颈，本研究提出基于黑磷各向异性光电特性的激光驱动光子神经网络架构革新方案，实现能效与智能双突破：1、动态存算一体：利用黑磷层数可调带隙特性（0.3-2.0 eV），提出激光诱导光致荧光动态调控机制，建全光推理架构，指纹识别准确率96.34%；2、联结学习神经网络计算：通过双光子聚合效应模拟STDP学习规则，结合激光时序调控实现类脑条件反射验证，模式识别率>97%；3、跨模态低功耗计算：基于应力发光特性，构建激光-机械跨模态感知-决策系统，手势识别能耗趋零（<1nW）；4、超快光逻辑门阵列：利用黑磷非线性克尔效应，开发七种激光驱动光逻辑门（延迟<100ps，能耗<10fJ/OP）等。构建了从材料物性调控到智能光芯片集成的全链条创新体系，相关成果获广东省自然科学一等奖。未来将重点突破高密度光子集成、动态权重重构算法及多模态感知融合，为我国光计算芯片自主可控提供核心支撑。

Vascular dementia (VaD), the second-leading cause of dementia, is primarily a white matter ischemic disease with no direct therapies. Cell-cell interactions within lesion sites dictate disease progression or repair. To elucidate key intercellular pathways, we employed a VaD mouse model replicating many elements of the complex pathophysiology of human VaD, combined with transcriptomic and functional analyses. By integrating cell-type-specific mouse VaD transcriptomes with human VaD single-nucleus RNA-Seq data, and leveraging a custom ligand-receptor database (4,053...

The ocean is a complex spatiotemporal system that comprises various physical, chemical, and biological components. Their intricate dynamics influence weather patterns, shape climate trends, and play a pivotal role in maintaining the delicate equilibrium of our ecosystem.  Underwater robots have become crucial tools for exploring and understanding the vast and mysterious realms of oceans and potentially extending their applications to outer space exploration. However, due to the dynamic and uncertain ocean environments, the motion efficiency...

The long-standing dilemma when studying subcellular dynamics with optical microscopy is how to acquire the greatest spatiotemporal information with high fidelity and quantifiability but the least photobleaching and phototoxicity possible. In this talk, I will report our latest advances of how to synergize the developments in both optical front-end and algorithmic back-end methodology to address these challenges, and apply them to a wide variety of fragile and rapid evolving subcellular bioprocesses at ultrahigh spatiotemporal resolution...

Glucose is a universal metabolic substrate, yet its role in regulating protein function—particularly during cell fate transitions—remains poorly understood. During epidermal differentiation, intracellular glucose levels rise significantly. Using azido-glucose click chemistry coupled with dextran-based enrichment and mass spectrometry, we discovered that glucose directly binds to several RNA-binding proteins (RBPs), including the RNA helicases DDX21 and DDX50 and the RNA methyltransferase NSUN2—key regulators of epidermal development. Glucose interacts with the ATP-binding domains of DDX21 and DDX50,...

How can we coordinate self-interested autonomous agents toward desired system outcomes? This question, long central to the field of multi-agent systems, has gained renewed urgency due to the rise of today’s intelligent agents and agentic technologies. We approach this challenge from an optimisation perspective, aiming to find ways to steer agents to optimal correlated equilibria in stochastic environments. I will introduce our recent algorithmic results for this problem. At the core of our approach is...