Silhouette: Leveraging Consistency Mechanisms to Detect Bugs in Persistent Memory-Based File Systems (Dec 5)
Published: | 1:30 pm | Posted in: Events | Leave a comment
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 CPU caches and correctly order them to avoid inconsistencies after a crash. As a result, […]
Routing in Modern AI Systems: A Multi-Level Perspective Across Language and Vision Models (Nov 21)
Published: | 10:28 am | Posted in: Events | Leave a comment
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…
From Signals to Graphs: Recent Advances in EEG Representation Learning (Nov 18)
Published: | 8:58 am | Posted in: Events | Leave a comment
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 nature of neural interactions…
Reinforcement Learning for Micro-architectural Attack and Defense (Nov 14)
Published: | 10:45 am | Posted in: Events | Leave a comment
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…
Haphazardness in LLMs and Its Implications for Agentic AI Systems (Nov 7)
Published: | 10:08 am | Posted in: Events | Leave a comment
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 stability in their behaviors…
Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restoration (Nov 4)
Published: | 9:15 am | Posted in: Events | Leave a comment
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 based on the volume of power restoration requests from each region…
!!Cancelled!! Advancing Societal Decision-making through Human-AI Collaboration (Oct 31)
Published: | 10:59 am | Posted in: Events | Leave a comment
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…
SOMA: Efficient Multi-turn LLM Serving via Small Language Model (Oct 28)
Published: | 8:05 am | Posted in: Events | Leave a comment
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…
A Unified Neural Operator Framework for Scalable Multi-Physics Simulations (Oct 24)
Published: | 9:11 am | Posted in: Events | Leave a comment
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…
CREDIT: Certified Defense of Deep Neural Networks against Model Extraction Attacks (Oct 21)
Published: | 7:54 am | Posted in: Events | Leave a comment
Speaker: Bolin Shen Date: Oct 21, 11:45 am – 12:45 pm Abstract: Machine Learning as a Service (MLaaS) has become a widely adopted method for delivering deep neural network (DNN) models, allowing users to conveniently access models via APIs…