Mobile Computing Demo Showcase (April 9)
Published: | 2:11 pm | Posted in: Events
Mobile Computing Demo Showcase Hosted by the Mobile Computing Group at FSU SHOWCASE Date April 9, 2025 Time 1:00 PM – 4:00 PM Location Innovation Hub Register Registration form → We are excited to invite you to the Mobile Computing Demo Showcase! This event features a series of interactive demos exploring emerging technologies in: AI […]
FSU CS Expo 2026 (April 10)
Published: | 3:23 pm | Posted in: Events
FSU CS Expo 2026 Department of Computer Science EXPO Date Friday, April 10, 2026 Time 8:30 AM – 5:30 PM Location Love 353 Register Full expo page & registration → FSU CS Expo 2026 is a department-wide event that brings together students, faculty, alumni, and guests to celebrate research, share ideas, and build connections across […]
Remembering Dr. Hilbert “Hilly” Levitz (1931–2025)
Published: | 12:09 pm | Posted in: News
In Memoriam Remembering Dr. Hilbert “Hilly” Levitz (1931–2025) It is with great sadness that the Florida State University Department of Computer Science announces the passing of Professor Emeritus Dr. Hilbert “Hilly” Levitz. Dr. Levitz served as a Professor of Mathematics and Computer Science at FSU from 1969 until his retirement in 2003. He was a […]
FSU and Partners Host Inaugural North Florida Wildfire Science & Technology Workshop
Published: | 8:42 am | Posted in: News
TALLAHASSEE, FL — Florida State University’s Department of Computer Science, in collaboration with the FAMU-FSU College of Engineering’s RIDER Center and multiple institutional partners, successfully hosted the 1st North Florida Wildfire Science & Technology Workshop on Friday, March 13, 2026, at IGNITE Tallahassee. The full-day event brought together researchers, practitioners, and community stakeholders to advance […]
Weikuan Yu awarded a new grant from LLNL on Data Reduction
Published: | 8:08 am | Posted in: News
Weikuan Yu, Professor and Chair in the FSU Department of Computer Science, has been awarded a grant of $85K for research on Data Reduction for Efficient Checkpoint/Restart of LLM applications from Lawrence Livermore National Lab (LLNL). This project aims to develop data-reduction capabilities, such as compression and deduplication, for large-scale LLM checkpoints to substantially reduce […]
Bofan Li publishes a paper on WiFi-Based Respiration Authentication in the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
Published: | 9:54 am | Posted in: Student Recognition
Bofan Li, a PhD student in the Computer Science Department, has published a paper titled “MURAL-Fi: Multi-User Respiration Authentication Leveraging WiFi” in the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). This work is done under the guidance of Dr. Weikuan Yu in collaboration with Dr. Xin Liu and other colleagues. […]
iCR: Intent-Driven Checkpoint/Restart (Mar 10)
Published: | 9:50 am | Posted in: Events
iCR: Intent-Driven Checkpoint/Restart Olga Kogiou · Department of Computer Science Seminar TALK Speaker Olga Kogiou Date March 10, 11:45 – 12:45 pm Location LOV 353 (In Person Only) Abstract High Performance Computing applications have evolved from monolithic simulations to interdependent tasks that form heterogeneous workflows. These workflows rely on Checkpoint/Restart (C/R) mechanisms to enable continuity […]
ATOMIC: Attention Reallocation to Mitigate Irrelevant Context in Small Language Models (Mar 3)
Published: | 12:28 pm | Posted in: Events
Speaker: Bolin Shen Date: March 3, 11:45 – 12:45 pm Abstract: Small language models have recently gained increasing attention due to their strong cost efficiency, computational efficiency, and competitive performance across a wide range of reasoning tasks. However, when reasoning inputs contain irrelevant context, SLMS are substantially more vulnerable to distraction than large language models, […]
Robust Machine Learning on the Edge (Feb 27)
Published: | 9:09 am | Posted in: Events
Speaker: Stratis Ioannidis Date: Feb 27, 11:15 – 12:15 pm Abstract: Adversarial robustness, i.e., the ability of a machine learning (ML) algorithm to maintain its predictive power under input perturbations, is an important property for many safety-critical applications. It is even more important in edge deployments of ML algorithms, where inference is performed in a […]
ReAD: Reinforcement-Guided Capability Distillation (Feb 24)
Published: | 10:58 am | Posted in: Events
Speaker: Xueqi Cheng Date: Feb 24, 11:45 – 12:45 pm Abstract: Knowledge distillation (KD) compresses a large model into a smaller one that preserves the capabilities needed for a downstream task, yet existing methods assume that capabilities can be optimized independently…