Dr. Kai Zhao has a paper accepted at The 2025 ACM SIGMOD International Conference on Management of Data.
Published: | 3:24 pm | Posted in: News | Leave a comment
Dr. Kai Zhao has a paper accepted at The 2025 ACM SIGMOD International Conference on Management of Data. SIGMOD is a flagship conference in data management. The paper, titled “LCP: Enhancing Scientific Data Management with Lossy Compression for Particles,” is authored by Dr. Kai Zhao, his PhD student Longtao Zhang, Ruoyu Li, and collaborators from several universities and national […]
Dr. An-I Andy Wang has a paper accepted by the 23rd USENIX Conference on File and Storage Technologies (USENIX FAST)
Published: | 3:22 pm | Posted in: News | Leave a comment
Dr. An-I Andy Wang has a paper accepted by the 23rd USENIX Conference on File and Storage Technologies (USENIX FAST), the flagship conference on file systems and storage. The paper is titled “Silhouette: Leveraging Consistency Mechanisms to Detect Bugs in Persistent Memory-Based File Systems” and was coauthored by Dr. Ashvin Goel at the University of […]
Artificial General Intelligence for Society
Published: | 11:04 am | Posted in: Events | Leave a comment
Speaker: Tianming Liu
Date: Feb 21, 11:45am-12:45pm
Abstract: Multimodal large language models (LLMs), foundation models (FMs), and generative artificial intelligence (GenAI) have transformed many domains of our society.
Building Adaptable and Reliable AI with Probabilistic Modeling
Published: | 12:44 pm | Posted in: Events | Leave a comment
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 from probabilistic modeling.
AI for Actionable Healthcare: Treatment Effect Estimation on Real-world Patient Data
Published: | 11:11 am | Posted in: Events | Leave a comment
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
Published: | 11:00 am | Posted in: Events | Leave a comment
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
Published: | 9:48 am | Posted in: Events | Leave a comment
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 users to advance their interests by adapting their messaging.
Robust and Interpretable Learning for Modern Healthcare
Published: | 2:01 pm | Posted in: Events | Leave a comment
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
Published: | 4:48 pm | Posted in: Events | Leave a comment
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 bias.
Securing Computer Systems using AI Methods and for AI Applications
Published: | 11:38 am | Posted in: Events | Leave a comment
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 (RL), have achieved unprecedented success in everyday applications.