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Past

• Robust Learning with Evolving Data Streams for Personalized Healthcare

  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…

• Harnessing Mobile Technologies for Healthcare Equity and Fairness

  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…

• Responsible Graph Machine Learning Under a Fairness Lens

  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…

• Pushing Acoustic Sensing from the Laboratory to Real World: Theories, Applications, and Practical Problems

  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,…

• Toward Private, Secure, and Robust AI-Enabled Voice Services

  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…

• Fault Simulation, Detection and Analysis for Monte Carlo Computational Resilience

  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…

• Representation Space of Transformers

  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…

• Lossy Compression for Scientific Applications on HPC

  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.…

• Quantum Circuit Decomposition and Routing Collaborative Design

  Speaker: Alex Jones Date: Nov 20, 11:45am–12:45pm Abstract and Bio: Alex K. Jones is a Professor of Electrical and Computer Engineering. He is also a Professor of Computer Science and Physics and Astronomy (by courtesy) at the University of Pittsburgh.…

• Building Quantum System Software for Unreliable Quantum Computers

  Speaker: Devesh Tiwari Date: Nov 17, 2023, 2:15 – 3:10 PM (Postponed) Abstract: The field of quantum computing has enjoyed extraordinary advances in the last two decades, including the physical implementation and experimental demonstration of medium-scale quantum computers. While these…