Data-Centric AI: Taming AI-ready Feature Space From Decision-Making to Generative-AI
Published: | 2:57 pm | Posted in: Events
Speaker: Dongjie Wang Date: Feb 5, 11:45am–12:45pm Abstract: Unlike humans, AI systems are brittle and not robust. They often struggle when faced with novel situations, and are highly sensitive to small perturbations, which can lead to catastrophically poor performance. These systems comprise two main components: the model and the data. In recent decades, research primarily […]
Empowering Graph Neural Networks for Real-world Tasks
Published: | 4:24 pm | Posted in: Events
Speaker: Zhichun Guo Date: Feb 2, 11:45am–12:45pm Abstract: Graph neural networks (GNNs) have been widely used on graph-structured data, but they also face a series of challenges in solving real-world problems, including scarcity of labeled data, scalability issues, and potential bias. In this talk, I will recap my research efforts in tackling these challenges and […]
Robust Learning with Evolving Data Streams for Personalized Healthcare
Published: | 1:23 pm | Posted in: Events
Speaker: Jingchao Ni Date: Jan 31, 11:45am–12:45pm Abstract: The proliferation of data acquisition technologies such as wearable devices, sensors, data logging, imaging, and IoT, has produced vast amounts of data across domains. This influx of data has empowered AI applications in scientific domains and for social good. In healthcare, for instance, AI has unleashed the […]
Harnessing Mobile Technologies for Healthcare Equity and Fairness
Published: | 2:56 pm | Posted in: Events
Speaker: Huining Li Date: Jan 29, 11:45am–12:45pm Abstract: Mobile health technologies are increasingly recognized as a means to bridge health disparities due to their high accessibility, cost-effectiveness, and global connectivity. However, research indicates that if these technologies are not implemented thoughtfully, they could exacerbate health disparities and raise issues, such as privacy and fairness. In […]
Responsible Graph Machine Learning Under a Fairness Lens
Published: | 11:22 pm | Posted in: Events
Speaker: Yushun Dong Date: Jan 24, 11:45am–12:45pm Abstract: Graph learning algorithms have been increasingly deployed in a plethora of real-world applications, such as epidemic analysis, healthcare, and financial analysis. Nevertheless, there has been a rise in societal concerns about the algorithmic bias that these algorithms may exhibit. In certain high-stakes applications of graph learning algorithms, […]
Pushing Acoustic Sensing from the Laboratory to Real World: Theories, Applications, and Practical Problems
Published: | 11:12 pm | Posted in: Events
Speaker: Dong Li Date: Jan 22, 11:45am–12:45pm Abstract: With the proliferation of voice assistants, speakers and microphones are essential components in billions of smart devices that people interact with on a daily basis, such as smartphones, smart watches, smart speakers, smart home appliances, etc. By transferring them into acoustic radars, we have successfully demonstrated the […]
Toward Private, Secure, and Robust AI-Enabled Voice Services
Published: | 2:01 pm | Posted in: Events
Speaker: Hanqing Guo Date: Jan 17, 11:45am–12:45pm Abstract: Voice, as a primary way for people to communicate with each other and interact with computers/smart devices, is expected to be secure and private when people use it. However, recent studies demonstrated the vulnerabilities of using voice to talk with people; conduct speaker authentication and deliver messages […]
Fault Simulation, Detection and Analysis for Monte Carlo Computational Resilience
Published: | 1:55 pm | Posted in: Events
Speaker: Sharanya Jayaraman Date: Jan 12, 11:45am–12:45pm Abstract and Bio: Computational Resilience represents the process of upholding the correctness and efficiency of computing systems, even in the face of inherent faults and challenges. As Large Scale High-Performance applications grow in size and scope they become increasingly susceptible to diverse fault types. With recovery times for […]
Representation Space of Transformers
Published: | 10:29 pm | Posted in: Events
Speaker: Xiuwen Liu Date: Dec 8, 2023, 2:15 – 3:10 PM Abstract: Pretrained large foundation models play a central role in the recent surge of artificial intelligence, resulting in finetuned models with remarkable abilities when measured on benchmark datasets, standard exams, and applications. Due to their inherent complexity, these models are poorly understood. While small […]
Lossy Compression for Scientific Applications on HPC
Published: | 1:17 pm | Posted in: Events
Speaker: Kai Zhao Date: Dec 1, 2023, 2:15 – 3:10 PM Abstract: The rapid development of artificial intelligence technologies and the explosive growth of data in petascale and exascale systems have brought critical challenge s to high-performance computing (HPC) systems. Today’s scientific simulations ar e producing vast volumes of data that cannot be stored and […]