Mine of the Future: Machine Learning and Cybersecurity for Situation-awareness and Safety (Feb 16)
Published: | 10:44 am | Posted in: Upcoming
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 miners and the environment.
Computer Science Student Seminars (Feb 3rd – Semester End)
Published: | 1:57 pm | Posted in: Upcoming
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 research, practice presentation skills, and engage with peers and faculty members. Location: Room 353, LOV […]
Dr. Guang Wang’s Lab has two papers accepted by AAAI 2026
Published: | 10:07 am | Posted in: News
Dr. Guang Wang, Assistant Professor in the Department of Computer Science, has had two papers from his lab accepted to the 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026). The first paper titled “GeoGen: A Two-stage Coarse-to-Fine Framework for Fine-grained Synthetic Location-based Social Network Trajectory Generation”, which is led by his PhD student Rongchao […]
Dr. Xin Liu has a paper accepted by the 2026 IEEE Symposium on Security and Privacy (IEEE S&P 2026).
Published: | 8:59 am | Posted in: News
Dr. Xin Liu, an Assistant Professor in the Department of Computer Science, has a paper accepted by the 2026 IEEE Symposium on Security and Privacy (IEEE S&P 2026). The paper is titled “2FiA: Towards WiFi Sensing-Based Authentication with Unique Biometrics.” The work introduces 2FiA, the first dual-biometrics WiFi sensing-based authentication system that combines respiration (as […]
Dr Yushun Dong Received Awards (SIGSPATIAL, ICDM) and Has Paper Published (AAAI*2, WSDM, SIGKDD)
Published: | 9:25 am | Posted in: News
Dr. Yushun Dong Received Awards (SIGSPATIAL, ICDM) and Has Papers Published (AAAI ×2, WSDM, SIGKDD) Dr. Yushun Dong has received multiple major research awards and published several papers at premier international conferences in data mining, artificial intelligence, and geospatial analytics. Two Awards at Premier Data Mining & Geospatial Venues SIGSPATIAL 2025: Best Short Paper Award […]
Silhouette: Leveraging Consistency Mechanisms to Detect Bugs in Persistent Memory-Based File Systems (Dec 5)
Published: | 1:30 pm | Posted in: Events
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
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
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
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
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…