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SCAN — Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering
This paper tackles fundamental challenges in unsupervised time series anomaly detection using reconstruction-based methods

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This paper tackles fundamental challenges in unsupervised time series anomaly detection using reconstruction-based methods

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This work addresses the problem of securely distributing multiple independent secret keys over network-coded communication networks in the presence of active node-based adversaries

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This paper addresses the challenge of accurately sensing the shape and bending angle of continuum robots, which are highly compliant and flexible, making shape estimation difficult

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This paper addresses the integrated recovery problem in airline disruption management, focusing on simultaneously recovering flight schedules, aircraft routes, and passenger itineraries while incor…

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This paper addresses a fundamental challenge that the World Wide Web’s original design assumptions center on humans as primary content consumers, an assumption invalidated by the rapid rise of AI a…

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This paper addresses the emerging challenge of serving streaming video generation workloads, where users interact with long-lived sessions that progressively generate video chunks with real-time la…

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This paper introduces VISTAS, an interactive visualization tool designed to render the full computational pipeline of high-energy particle collision simulations from the PYTHIA Monte-Carlo event ge…

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This study investigates the role of atomic short-range order (SRO) in modulating ferroelectric switching barriers in wurtzite ScAlN alloys, challenging the conventional assumption of random solid s…

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This paper addresses the critical issue of demographic bias in face Presentation Attack Detection (PAD) systems, focusing on whether Vision Transformer (ViT) architectures can reduce such biases co…

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This paper addresses a significant gap in deep research (DR) systems — focusing not just on generating reports or summaries, but on predicting personalized workflows—concrete sequences of actionable…

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EBench is a comprehensive simulation benchmark designed to diagnose generalist mobile manipulation policies more deeply than traditional single scalar success rates

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This work experimentally demonstrates continuous-variable (CV) Einstein-Podolsky-Rosen (EPR) correlations between two spatially separated mechanical oscillators, each with an effective mass of appr…