Rare event evaluation is ubiquitious in modern system design. With growing complexity at the nano age, aleatory and epistemic uncertainty render system stochastic and its rare event evaluation, such as failure probability, increasingly prohibitive. To address such challenge, academia and industry have developed on various sampling technique and surrogate models. In this talk, we will present three...

Natural products have served as an invaluable source of both drugs and chemical tools to explore a variety of biological processes for chemical biologists. Rapamycin, FK506 and cyclosporin A (CsA) are macrocycles that have played important roles in unraveling cellular pathways and treatments of organ transplants, cancer and other diseases. These macrocycles have a unique and extraordinary mode of ...

We developed a machine learning model to predict left ventricular ejection fraction (LVEF/EF) from parasternal long-axis (PLAX) echocardiographic videos. Because public datasets with labeled PLAX videos are virtually non-existent, our work focuses on an innovative data generation strategy to overcome this scarcity. By leveraging a time-based correlation between clinical notes and echocardiographic...

讲座简介：How do non-elite founding teams attract capital? Building on signaling theory, we propose that disclosing advisory relationships, or formal ties to prominent entrepreneurs, experts, or public figures, can serve as input-based signals of capability and credibility. We predict that disclosed advisor affiliations may substitute for missing input-based signals but are less likely to replace ...

Feeding rhythms regulate exercise performance and muscle energy metabolism. However, the mechanisms regulating adipocyte functions remain unclear. Here, using multi-omics analyses, involving (phospho-)proteomics and lipidomics, we found that day-restricted feeding (DRF) regulates diurnal rhythms of the mitochondrial proteome, neutral lipidome, and nutrient-sensing pathways in mouse gonadal white a...

This talk explores how AI can learn from humans and co-create with humans to capture the richness of human appearance, motion, interactions, and personality. I will present three lines of work: (1) building large-scale 4D datasets such as HUMOTO, which capture human–human and human–object interactions with industry-standard fidelity; (2) developing novel 3D representations and differentiable simul...