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๐Ÿ” yi xu ๐Ÿ“‚ Computer Science
Showing 150 results for "yi xu" in Computer Science
Computer Science Preprint PDF DOI

Compressing ACAS-Xu Lookup Tables with Binary Decision Diagrams

Martin Boniol (ISAE-SUPAERO), Julien Brunel, Jean-Baptiste Chaudron (ISAE-SUPAERO), Christophe Garion (ISAE-SUPAERO), Xavier Thirioux (ISAE-SUPAERO) ยท 2026

The Airborne Collision Avoidance System Xu (ACAS-Xu) relies on large certified Look-Up Tables (LUTs) that encode the exact decision logic used in operation. Neural-network-based approximations have beโ€ฆ

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Computer Science Preprint PDF DOI

Designing Ethical Learning for Agentic AI: Toegye Yi Hwang's Ethical Emotion Regulation Framework

Ji Yeon Kim ยท 2026

Agentic AI systems capable of autonomous goal setting and proactive intervention introduce new challenges for regulating moral-emotional processes in learning environments. Existing frameworks typicalโ€ฆ

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DAG Projections: Reducing Distance and Flow Problems to DAGs

Bernhard Haeupler, Yonggang Jiang, Thatchaphol Saranurak ยท 2026

We show that every directed graph $G$ with $n$ vertices and $m$ edges admits a directed acyclic graph (DAG) with $m^{1+o(1)}$ edges, called a DAG projection, that can either $(1+1/\text{polylog} (n))$โ€ฆ

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SimCert: Probabilistic Certification for Behavioral Similarity in Deep Neural Network Compression

Jingyang Li, Fu Song, Guoqiang Li ยท 2026

Deploying Deep Neural Networks (DNNs) on resource-constrained embedded systems requires aggressive model compression techniques like quantization and pruning. However, ensuring that the compressed modโ€ฆ

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Constructions of linear codes from vectorial plateaued functions and their subfield codes with applications to quantum CSS codes

Virginio Fratianni, Sihem Mesnager ยท 2026

Linear codes over finite fields parameterized by functions have proven to be a powerful tool in coding theory, yielding optimal and few-weight codes with significant applications in secret sharing, auโ€ฆ

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Prune, Don't Rebuild: Efficiently Tuning $\alpha$-Reachable Graphs for Nearest Neighbor Search

Tian Zhang, Ashwin Padaki, Jiaming Liang, Zack Ives, Erik Waingarten ยท 2026

Vector similarity search is an essential primitive in modern AI and ML applications. Most vector databases adopt graph-based approximate nearest neighbor (ANN) search algorithms, such as DiskANN (Subrโ€ฆ

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Solving 4-Block Integer Linear Programs Faster Using Affine Decompositions of the Right-Hand Sides

Alexandra Lassota, Koen Ligthart ยท 2026

We present a new and faster algorithm for the 4-block integer linear programming problem, overcoming the long-standing runtime barrier faced by previous algorithms that rely on Graver complexity or prโ€ฆ

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Privacy-Resolution Tradeoff for Adaptive Noisy Twenty Questions Estimation

Chunsong Sun, Lin Zhou ยท 2026

We revisit noisy twenty questions estimation and study the privacy-resolution tradeoff for adaptive query procedures. Specifically, in twenty questions estimation, there are two players: an oracle andโ€ฆ

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Robust Algorithms for Finding Cliques in Random Intersection Graphs via Sum-of-Squares

Andreas Gobel, Janosch Ruff, Leon Schiller ยท 2025

We study efficient algorithms for recovering cliques in dense random intersection graphs (RIGs). In this model, $d = n^{\Omega(1)}$ cliques of size approximately $k$ are randomly planted by choosing tโ€ฆ

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Computer-aided Characterization of Fundamental Limits of Coded Caching with Linear Coding

Niccolo Brembilla, Yinbin Ma, Pietro Belotti, Federico Malucelli, Daniela Tuninetti ยท 2025

Inspired by prior work by Tian and by Cao and Xu, this paper presents an efficient computer-aided framework to characterize the fundamental limits of coded caching systems under the constraint of lineโ€ฆ

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Hardness of Approximation for Shortest Path with Vector Costs

Charlie Carlson, Yury Makarychev, Ron Mosenzon ยท 2025

We obtain hardness of approximation results for the $\ell_p$-Shortest Path problem, a variant of the classic Shortest Path problem with vector costs. For every integer $p \in [2,\infty)$, we show a haโ€ฆ

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Random-Shift Revisited: Tight Approximations for Tree Embeddings and L1-Oblivious Routings

Rasmus Kyng, Maximilian Probst Gutenberg, Tim Rieder ยท 2025

We present a new and surprisingly simple analysis of random-shift decompositions -- originally proposed by Miller, Peng, and Xu [SPAA'13]: We show that decompositions for exponentially growing scales โ€ฆ

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Dynamic Automated Deduction by Contradiction Separation: The Standard Extension Algorithm

Yang Xu, Xingxing He, Shuwei Chen, Jun Liu, Xiaomei Zhong ยท 2025

Automated deduction seeks to enable machines to reason with mathematical precision and logical completeness. Classical resolution-based systems, such as Prover9, E, and Vampire, rely on binary inferenโ€ฆ

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Optimal Frames for Phase Retrieval from Edge Vectors of Optimal Polygons

Zhiqiang Xu, Zili Xu, Xinyue Zhang ยท 2025

This paper aims to characterize the optimal frame for phase retrieval, defined as the frame whose condition number for phase retrieval attains its minimal value. In the context of the two-dimensional โ€ฆ

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A Simple and Robust Protocol for Distributed Counting

Edith Cohen, Moshe Shechner, Uri Stemmer ยท 2025

We revisit the distributed counting problem, where a server must continuously approximate the total number of events occurring across $k$ sites while minimizing communication. The communication compleโ€ฆ

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GPT-OSS-20B: A Comprehensive Deployment-Centric Analysis of OpenAI's Open-Weight Mixture of Experts Model

Deepak Kumar, Divakar Yadav, Yash Patel ยท 2025

We present a single-GPU (H100, bf16) evaluation of GPT-OSS-20B (Mixture-of-Experts; 20.9B total, approx. 3.61B active) against dense baselines Qwen3-32B and Yi-34B across multiple dimensions. We measuโ€ฆ

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Faster Estimation of the Average Degree of a Graph Using Random Edges and Structural Queries

Lorenzo Beretta, Deeparnab Chakrabarty, C. Seshadhri ยท 2025

We revisit the problem of designing sublinear algorithms for estimating the average degree of an $n$-vertex graph. The standard access model for graphs allows for the following queries: sampling a uniโ€ฆ

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Semidefinite Programming for the Asymmetric Stochastic Block Model

Julia Gaudio, Phawin Prongpaophan ยท 2025

We consider semidefinite programming (SDP) for the binary stochastic block model with equal-sized communities. Prior work of Hajek, Wu, and Xu proposed an SDP (sym-SDP) for the symmetric case where thโ€ฆ

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Align is not Enough: Multimodal Universal Jailbreak Attack against Multimodal Large Language Models

Youze Wang, Wenbo Hu, Yinpeng Dong, Jing Liu, Hanwang Zhang, Richang Hong ยท 2025

Large Language Models (LLMs) have evolved into Multimodal Large Language Models (MLLMs), significantly enhancing their capabilities by integrating visual information and other types, thus aligning morโ€ฆ

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Unfolding Boxes with Local Constraints

Long Qian, Eric Wang, Bernardo Subercaseaux, Marijn J. H. Heule ยท 2025

We consider the problem of finding and enumerating polyominos that can be folded into multiple non-isomorphic boxes. While several computational approaches have been proposed, including SAT, randomizeโ€ฆ

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