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…
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…