Upcoming

Past

• Building Adaptable and Reliable AI with Probabilistic Modeling

  Speaker: Jake Snell Date: Feb 19, 11:45am-12:45pm Abstract: How can we build AI systems that produce more reliable outputs while consuming less data? In this talk, I will show how to answer this question by combining deep learning with tools…

• AI for Actionable Healthcare: Treatment Effect Estimation on Real-world Patient Data

  Speaker: Ruoqi Liu Date: Feb 17, 11:45am-12:45pm Abstract: Estimating causal effects from observational data is a fundamental problem in many fields that face challenges (e.g., expensive, time-consuming, or even unethical) in running randomized control trials.

• Towards Efficient, Dynamic, Portable Immersive Media

  Speaker: Zhong Li Date: Feb 14, 11:45am-12:45pm Abstract: In the realm of immersive media, neural field-based methods have rapidly advanced in tasks such as 3D reconstruction and free-viewpoint rendering, achieving remarkable success in the fields of computer vision and graphics.

• Understanding Microtargeting Pattern on Social Media

  Speaker: Tunazzina Islam Date: Feb 12, 11:45am-12:45pm Abstract: The landscape of social media is highly dynamic, with users generating and consuming a diverse range of content. Various interest groups, including politicians, advertisers, and stakeholders, utilize these platforms to target potential…

• Robust and Interpretable Learning for Modern Healthcare

  Speaker: Peirong Liu Date: Feb 10, 11:45am-12:45pm Abstract: The unprecedented advances of modern machine learning have unlocked the potential for faster and more accurate data-driven analysis.

• Addressing Information Distortion via Knowledge-aware Language Modeling

  Speaker: Yuanyuan Lei Date: Feb 7, 11:45am-12:45pm Abstract: In the research of Natural Language Processing (NLP), language and information are deeply intertwined. However, human language can be subject to various forms of information distortion, ranging from intentional misinformation to unintentional…

• Securing Computer Systems using AI Methods and for AI Applications

  Speaker: Mulong Luo Date: Jan 31, 11:45am-12:45pm Abstract: Securing modern computer systems against an ever-evolving threat landscape is a significant challenge that requires innovative approaches. Recent developments in artificial intelligence (AI), such as large language models (LLMs) and reinforcement learning…

• Secure and Timely Execution in Cyber-physical Systems

  Speaker: Jinwen Wang Date: Jan 15, 11:45am-12:45pm Abstract: Cyber-physical systems (CPSs), such as self-driving cars, are integral to modern life. Execution timing is critical to CPS, as missing a deadline can result in severe outcomes. In this talk, I will…

• Towards Secure and Resilient Real-Time Cyber-Physical Systems

  Speaker: Abdullah Al Arafat Date: Jan 13, 11:45am-12:45pm Abstract: Recent advances in sensing, communication, and computing have revolutionized the accessibility and integration of safety-critical Cyber-Physical Systems (CPS). However, these systems face stringent timing constraints and escalating security challenges.

• Towards Efficient and Practical Privacy-Preserving Computing and AI

  Speaker: Qian Lou Date: Nov 22, 2:05pm – 3:15pm Abstract: With growing reliance on cloud-based Machine Learning as a Service (MLaaS), privacy concerns are escalating, particularly in fields like healthcare and finance. For instance, clinicians and researchers use AI models…