Upcoming
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Deep Learning for 3D Scene Modeling & AI-Enhanced Healthcare (Feb 20)
Speaker: Andy Duan Date: Feb 20, 11:45 – 12:45 pm Abstract: 3D scene modeling is fundamental in many applications including Virtual Reality, Augmented Reality, Autonomous Driving, Robotics, Telehealth, etc. In this talk, I will first discuss some of our recent…
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Computer Science Student Seminars (Feb 3rd – Semester End)
Dear Colleagues and CS Graduate Students, We are excited to announce that our computer science Student Seminars at Florida State University are starting again this spring semester! This weekly seminar series provides a great opportunity for students to share their…
Past
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Mine of the Future: Machine Learning and Cybersecurity for Situation-awareness and Safety (Feb 16)
Speaker: Sanjay K Madria Date: Feb 16, 11:15 – 12:15 pm Abstract: Mining industry is rapidly transforming into an AI driven cyber-physical ecosystem where safety and operational reliability depend on robust perception and trustworthy distributed intelligence and continuous monitoring of…
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Silhouette: Leveraging Consistency Mechanisms to Detect Bugs in Persistent Memory-Based File Systems (Dec 5)
Speaker: An-I Andy Wang Date: Dec 5, 2:15 – 3:05 pm Abstract: The emergence of persistent memory (PM), with its non-volatile and byte-addressable characteristics, has led to a novel storage programming paradigm. However, PM programs need to flush stores from…
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Routing in Modern AI Systems: A Multi-Level Perspective Across Language and Vision Models (Nov 21)
Speaker: Shangqian Gao | Date: Nov 21, 2:15 PM – 3:05 PM | Abstract: Routing has emerged as a fundamental mechanism for enabling efficiency, specialization, and adaptive computation in modern AI systems…
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From Signals to Graphs: Recent Advances in EEG Representation Learning (Nov 18)
Speaker: Yuyang Dai | Date: Nov 18, 11:45 AM – 12:45 PM | Abstract: Electroencephalography (EEG) has long served as a powerful tool for understanding human brain activity, yet traditional signal-based analysis struggles to capture the complex, dynamic, and non-Euclidean…
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Reinforcement Learning for Micro-architectural Attack and Defense (Nov 14)
Speaker: Mulong Luo | Date: Nov 14, 2:15 PM – 3:05 PM | Abstract: Securing modern computer systems against an ever-evolving threat like micro-architectural attacks is a significant challenge that requires innovative approaches…
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Haphazardness in LLMs and Its Implications for Agentic AI Systems (Nov 7)
Speaker: Xiuwen Liu | Date: Nov 7, 2:15 – 3:05 pm | Abstract: As large language models (LLMs) are increasingly deployed in agentic AI systems to iteratively solve complex tasks, empirical studies have revealed a persistent lack of reproducibility and…
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Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restoration (Nov 4)
Speaker: Lin Jiang Date: Nov 4, 11:45 AM – 12:45 PM Abstract: The increasing frequency of extreme weather events, such as hurricanes, highlights the gent need for efficient and equitable power system restoration. Many electricity providers make restoration decisions primarily…
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!!Cancelled!! Advancing Societal Decision-making through Human-AI Collaboration (Oct 31)
Speaker: Yifang Wang Date: Oct 31, 2:15 – 3:05 pm Abstract: Societal decision-making involves high-stakes, long-term choices that shape the future of communities, nations, and human collectives…
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SOMA: Efficient Multi-turn LLM Serving via Small Language Model (Oct 28)
Speaker: Xueqi Cheng Date: Oct 28, 11:45 am – 12:45 pm Abstract: Large Language Models (LLMs) are increasingly deployed in multi-turn dialogue settings where preserving conversational context across turns is essential…
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A Unified Neural Operator Framework for Scalable Multi-Physics Simulations (Oct 24)
Speaker: Shibo Li Date: Oct 24, 2:15pm – 3:05 pm Abstract: Physical simulations are essential tools across critical fields such as mechanical and aerospace engineering, chemistry, meteorology, etc…