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๐Ÿ” william e. devanny ๐Ÿ“‚ Computer Science
Showing 8295 results for "william e. devanny" in Computer Science
Computer Science Preprint PDF DOI

Uncertainty-Aware Fuzzy Centrality Measures for Influential Node Identification: A Structural Modeling Approach Toward E-Commerce Applications

Shima Esfandiari, Seyed Mostafa Fakhrahmad ยท 2026

In recent years, e-commerce platforms have become one of the most prominent examples of large-scale interaction networks, where understanding influence dynamics among users, products, and digital entiโ€ฆ

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R\'enyi Pufferfish Privacy with Gaussian-based Priors: From Single Gaussian to Mixture Model

Wenjin Yang, Ni Ding, Zijian Zhang, Zhen Li, Jing Sun, Jincheng An, Yong Liu, Liehuang Zhu ยท 2026

R\'{e}nyi Pufferfish Privacy (RPP) provides a R\'{e}nyi divergence-based privacy framework for correlated data, but existing $\infty$-Wasserstein mechanisms are often conservative and sacrifice data uโ€ฆ

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On the Minimum Distances of Some Families of BCH Codes

Yaqi Chen, Hao Chen, Cunsheng Ding, Huimin Lao ยท 2026

BCH codes form an important class of cyclic codes, which have applications in communication and data storage systems. Although the BCH bound provides a lower bound on the minimum distance of BCH codesโ€ฆ

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Beyond Static Collision Handling: Adaptive Semantic ID Learning for Multimodal Recommendation at Industrial Scale

Yongsen Pan, Yuxin Chen, Zheng Hu, Xu Yuan, Daoyuan Wang, Yuting Yin, Songhao Ni, Hongyang Wang, Jun Wang, Fuji Ren, Wenwu Ou ยท 2026

Modern recommendation systems involve massive catalogs of multimodal items, where scalable item identification must balance compactness, semantic fidelity, and downstream effectiveness. Semantic IDs (โ€ฆ

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A Note on Interdiction of Linear Minimization Problems

Yu Cong, Kangyi Tian ยท 2026

Motivated by the FPTAS for connectivity interdiction of Huang et al. (IPCO'24), we isolate the part of the argument that does not use cuts. The setting is a minimization problem over a feasible-set faโ€ฆ

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Rejection Sampling is Optimal for Relative Entropy Coding

Spencer Hill, Fady Alajaji, Tamas Linder, Gergely Flamich ยท 2026

In relative entropy coding, a sender aims to design a stochastic code such that, on input $X \sim P_X$, the receiver can generate a sample $Y \sim P_{Y \mid X}$. It is a standard result that (1) this โ€ฆ

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How GenAI is Helping Reimagine Antenatal Care in A Low-Resource Setting: From Provider Enablement to Patient Empowerment

Maryam Mustafa, Imaan Hameed, Amna Shahnawaz, Bilal A Mateen ยท 2026

Despite steady global advances, maternal mortality remains alarmingly high in Pakistan (155 deaths per 100,000 live births in 2023); largely as a consequence of fragmented paper records, low literacy,โ€ฆ

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A Systematic AI Adoption Framework for Higher Education: From Student GenAI Usage to Institutional Integration

Michael Neumann, Lasse Bischof, Maria Rauschenberger, Eva-Maria Schon ยท 2026

The rapid development of GenAI technologies is transforming learning, assessment, and academic production in higher education. Despite increasing student adoption, many institutions lack operational mโ€ฆ

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Risk Models as Mediating Artifacts: A Postphenomenological Analysis of the CIIM Framework in Cybersecurity Practice

Rommel Salas-Guerra ยท 2026

This article applies postphenomenological theory to the field of cybersecurity risk management, arguing that formal risk models function as mediating artifacts that shape how security practitioners orโ€ฆ

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Counterfactual Multi-task Learning for Delayed Conversion Modeling in E-commerce Sales Pre-Promotion

Xin Song, Kaiyuan Li, Jinxin Hu ยท 2026

Sales promotions, as short-term incentives to stimulate product purchases, play a pivotal role in modern e-commerce marketing strategies. During promotional events, user behavior patterns exhibit distโ€ฆ

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Robust Beamforming for MIMO Radar with Imperfect Prior Distribution Information

Yizhuo Wang, Shuowen Zhang ยท 2026

This paper studies a multiple-input multiple-output (MIMO) radar system for sensing the unknown and random angular location (angle) of a point target, based on the target-reflected echo signals and knโ€ฆ

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Maximum Solow--Polasky Diversity Subset Selection Is NP-hard Even in the Euclidean Plane

Michael T. M. Emmerich, Ksenia Pereverdieva, Andre H. Deutz ยท 2026

We prove that, for every fixed $\theta_0>0$, selecting a subset of prescribed cardinality that maximizes the Solow--Polasky diversity indicator is NP-hard for finite point sets in $\mathbb{R}^2$ with โ€ฆ

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CAST: Modeling Semantic-Level Transitions for Complementary-Aware Sequential Recommendation

Qian Zhang, Lech Szymanski, Haibo Zhang, Jeremiah D. Deng ยท 2026

Sequential Recommendation (SR) aims to predict the next interaction of a user based on their behavior sequence, where complementary relations often provide essential signals for predicting the next itโ€ฆ

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LIVE: Learnable Monotonic Vertex Embedding for Efficient Exact Subgraph Matching (Technical Report)

Yutong Ye, Weilong Ren, Yang Liu, Mengyi Yan, Ruijie Wang, Li Sun, Jianxin Li, Philip S. Yu ยท 2026

Exact subgraph matching is a fundamental graph operator that supports many graph analytics tasks, yet it remains computationally challenging due to its NP-completeness. Recent learning-based approacheโ€ฆ

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Explicit Factorization of $x^{p+1}-1$ over $\mathbb{Z}_{p^e}$: A Structural Approach via Dickson Polynomials

Yongchao Wang, Yang Ding, Jiansheng Yang, Zhiqiu Huang ยท 2026

Let $p$ be an odd prime. The factorization of the polynomial $x^{p+1}-1$ over the integer residue ring $\mathbb{Z}_{p^e}$ is pivotal for constructing cyclic codes with Hermitian symmetry, a critical rโ€ฆ

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SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection

Zhengyang Shan, Xu Qian, Jiayun Xin, Minghui Xu, Yue Zhang, Zhen Yang, Hao Wu, Xiuzhen Cheng ยท 2026

Software vulnerabilities are a primary threat to modern infrastructure. While static analysis and Graph Neural Networks have long served as the foundation for vulnerability detection, the emergence ofโ€ฆ

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Causal-Temporal Event Graphs: A Formal Model for Recursive Agent Execution Traces

Simon Foldvik ยท 2026

We introduce causal-temporal event graphs (CTEGs) as a formal model for fully resolved recursive agent execution records under single-parenthood causal semantics. We formalise direct event emissions aโ€ฆ

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Visual Inception: Compromising Long-term Planning in Agentic Recommenders via Multimodal Memory Poisoning

Jiachen Qian ยท 2026

The evolution from static ranking models to Agentic Recommender Systems (Agentic RecSys) empowers AI agents to maintain long-term user profiles and autonomously plan service tasks. While this paradigmโ€ฆ

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Deterministic Task Scheduling in In-Vehicle Networks for Software-Defined Vehicles

Keyvan Aghababaiyan, Baldomero Coll-Perales, Luca Lusvarghi, Javier Gozalvez ยท 2026

Modern vehicles are embedding increasing levels of automation, connectivity, and intelligence, which require advanced in-vehicle networks and computational platforms to support the dependability and dโ€ฆ

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What Makes a Bacterial Model a Good Reservoir Computer? Predicting Performance from Separability and Similarity

Laura Alonso Bartolome (MICALIS, Mnemosyne), Jean-Loup Faulon (MICALIS), Xavier Hinaut (Mnemosyne) ยท 2026

Biological systems are promising substrates for computation because they naturally process environmental information through complex internal dynamics. In this study, we investigate whether bacterial โ€ฆ

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