Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restoration (Nov 4)
Published: | 9:15 am | Posted in: Events
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
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
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
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
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…
UGAL-Q: A Multi-Agent Reinforcement Learning-Based Routing for Dragonfly Networks (Oct 17)
Published: | 7:50 am | Posted in: Events
Speaker: Xin Yuan Date: Oct 17, 2:15 – 3:05 pm Abstract: Multi-Agent Reinforcement Learning (MARL)-based routing has emerged as a promising approach for high-performance interconnect networks such as Dragonfly, offering a viable alternative to the widely used Universal Globally Adaptive Load-balanced (UGAL) routing…
Challenges in Bringing AI to Next Generation Edge Networks: A Physical Layer Perspective (Oct 10th)
Published: | 12:33 pm | Posted in: Events
Speaker: Xin Liu Date: Oct 10, 2:15 – 3:05 pm Abstract: The next generation of edge networks encompassing everything from IoT devices and smartphones to autonomous vehicles is poised to revolutionize industries by deploying AI in dynamic, real-world environments…
The Unwritten Curriculum: Lessons from a 25-Year Journey in Tech, Research, and AI (Oct 10th)
Published: | 10:27 am | Posted in: Events
Speaker: Dr. Sanjay Agravat Date: Oct 10, 1:00pm – 2:00 pm Bio: Originally from Tallahassee, Florida, Dr. Sanjay Agravat is a Staff Software Engineer at Google with a 25-year career spanning academic research, teaching, and software engineering, residing in Atlanta, Georgia…
Model Extraction Attack and Defense for Large Language Models (Oct 7th)
Published: | 12:41 pm | Posted in: Events
Speaker: Lican (Kelsey) Li Date: Oct 7, 11:45am – 12:45 pm Abstract: Model extraction attacks pose significant security threats to deployed language models, potentially compromising intellectual property and user privacy…
A Distributed and Scalable Approach for Global Representation Learning with EHR Applications
Published: | 11:54 am | Posted in: Events
Speaker: Zebin Wang Date: Sept 30, 11:45 am – 12:45 pm Abstract: Classical probabilistic graphical models face fundamental challenges in modern data environments, which are characterized by high dimensionality, source heterogeneity, and stringent data-sharing constraints.