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๐Ÿ” cewu lu ๐Ÿ“‚ Computer Science
Showing 218 results for "cewu lu" in Computer Science
Computer Science Preprint PDF DOI

The Boolean surface area of polynomial threshold functions

Fan Chang, Joseph Slote, Alexander Volberg, Haonan Zhang ยท 2026

Polynomial threshold functions (PTFs) are an important low-complexity class of Boolean functions, with strong connections to learning theory and approximation theory. Recent work on learning and testiโ€ฆ

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The Computational Complexity of Avoiding Strict Saddle Points in Constrained Optimization

Andreas Kontogiannis, Ioannis Panageas, Vasilis Pollatos ยท 2026

While first-order stationary points (FOSPs) are the traditional targets of non-convex optimization, they often correspond to undesirable strict saddle points. To circumvent this, attention has shiftedโ€ฆ

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ContractSkill: Repairable Contract-Based Skills for Multimodal Web Agents

Zijian Lu, Yiping Zuo, Yupeng Nie, Xin He, Weibei Fan, Lianyong Qi, Shi Jin ยท 2026

Self-generated skills for web agents are often unstable and can even hurt performance relative to direct acting. We argue that the key bottleneck is not only skill generation quality, but the fact thaโ€ฆ

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LLY Ricci Reweighting in Stochastic Block Models: Uniform Curvature Concentration and Finite-Horizon Tracking

Varun Kotharkar ยท 2026

We study curvature-driven edge reweighting for community recovery in the balanced two-block stochastic block model. Given a graph G with initial weights equal to the adjacency matrix, we iteratively uโ€ฆ

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Efficient Solvers for Coupling-Aware Beamforming in Continuous Aperture Arrays

Geonhee Lee, Kwonyeol Park, Hyeongjun Park, Jinwoo An, Junil Choi ยท 2026

In continuous aperture arrays (CAPAs), careful consideration of the underlying physics is essential, among which electromagnetic (EM) mutual coupling plays a critical role in beamforming performance. โ€ฆ

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Prompts and Prayers: the Rise of GPTheology

Ioana Cheres, Adrian Groza, Ioana Moldovan, Mick O'Hara, Connell Vaughan ยท 2026

Increasingly artificial intelligence (AI) has been cast in "god-like" roles (to name a few: film industry - Matrix, The Creator, Mission Impossible, Foundation, Dune etc.; literature - Children of Timโ€ฆ

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The SPARSE-Relativization Framework and Applications to Optimal Proof Systems

Fabian Egidy ยท 2026

We investigate the following longstanding open questions raised by Kraj\'i\v{c}ek and Pudl\'ak (J. Symb. L. 1989), Sadowski (FCT 1997), K\"obler and Messner (CCC 1998) and Messner (PhD 2000). Q1: Doโ€ฆ

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A Structure-Aware Irregular Blocking Method for Sparse LU Factorization

Zhen Hu, Dongliang Xiong, Kai Huang, Changjun Wu, Xiaowen Jiang ยท 2025

In sparse LU factorization, nonzero elements after symbolic factorization tend to distribute in diagonal and right-bottom region of sparse matrices. However, regular 2D blocking on this non-uniform diโ€ฆ

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Toward P vs NP: An Observer-Theoretic Separation via SPDP Rank and a ZFC-Equivalent Foundation within the N-Frame Model

Darren J. Edwards ยท 2025

We present a self-contained separation framework for P vs NP developed entirely within ZFC. The approach consists of: (i) a deterministic, radius-1 compilation from uniform polynomial-time Turing compโ€ฆ

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Performance of Modified Fractional Frequency Reuse Algorithm in Random Ultra Dense Networks

Bach Hung Luu, Samuel Harry Gardner, Sinh Cong Lam, Trong Minh Hoang ยท 2025

Mitigating intercell interference by employing fractional frequency reuse algorithms is one of the important approaches to improving user performance in 5G and Beyond 5G cellular network systems, whicโ€ฆ

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A Novel Algorithm for Representing Positive Semi-Definite Polynomials as Sums of Squares with Rational Coefficients

Zhenbing Zeng, Yong Huang, Lu Yang, Yongsheng Rao ยท 2025

This paper presents a novel algorithm for constructing a sum-of-squares (SOS) decomposition for positive semi-definite polynomials with rational coefficients. Unlike previous methods that typically yiโ€ฆ

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Object-AVEdit: An Object-level Audio-Visual Editing Model

Youquan Fu, Ruiyang Si, Hongfa Wang, Dongzhan Zhou, Jiacheng Sun, Ping Luo, Di Hu, Hongyuan Zhang, Xuelong Li ยท 2025

There is a high demand for audio-visual editing in video post-production and the film making field. While numerous models have explored audio and video editing, they struggle with object-level audio-vโ€ฆ

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Fast Unbiased Sampling of Networks with Given Expected Degrees and Strengths

Xuanchi Li, Xin Wang, Sadamori Kojaku ยท 2025

The configuration model is a cornerstone of statistical assessment of network structure. While the Chung-Lu model is among the most widely used configuration models, it systematically oversamples edgeโ€ฆ

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HYLU: Hybrid Parallel Sparse LU Factorization

Xiaoming Chen ยท 2025

This article introduces HYLU, a hybrid parallel LU factorization-based general-purpose solver designed for efficiently solving sparse linear systems (Ax=b) on multi-core shared-memory architectures. Tโ€ฆ

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FlashMP: Fast Discrete Transform-Based Solver for Preconditioning Maxwell's Equations on GPUs

Haoyuan Zhang, Yaqian Gao, Xinxin Zhang, Jialin Li, Runfeng Jin, Yidong Chen, Feng Zhang, Wu Yuan, Wenpeng Ma, Shan Liang, Jian Zhang, Zhonghua Lu ยท 2025

Efficiently solving large-scale linear systems is a critical challenge in electromagnetic simulations, particularly when using the Crank-Nicolson Finite-Difference Time-Domain (CN-FDTD) method. Existiโ€ฆ

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Assortativity in geometric and scale-free networks

Marc Kaufmann, Ulysse Schaller, Thomas Blasius, Johannes Lengler ยท 2025

The assortative behavior of a network is the tendency of similar (or dissimilar) nodes to connect to each other. This tendency can have an influence on various properties of the network, such as its rโ€ฆ

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Enhancing Serendipity Recommendation System by Constructing Dynamic User Knowledge Graphs with Large Language Models

Qian Yong, Yanhui Li, Jialiang Shi, Yaguang Dou, Tian Qi ยท 2025

The feedback loop in industrial recommendation systems reinforces homogeneous content, creates filter bubble effects, and diminishes user satisfaction. Recently, large language models(LLMs) have demonโ€ฆ

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Nearly Tight Sample Complexity for Matroid Online Contention Resolution

Moran Feldman, Ola Svensson, Rico Zenklusen ยท 2025

Due to their numerous applications, in particular in Mechanism Design, Prophet Inequalities have experienced a surge of interest. They describe competitive ratios for basic stopping time problems wherโ€ฆ

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New Bounds for the Ideal Proof System in Positive Characteristic

Amik Raj Behera, Nutan Limaye, Varun Ramanathan, Srikanth Srinivasan ยท 2025

In this work, we prove upper and lower bounds over fields of positive characteristics for several fragments of the Ideal Proof System (IPS), an algebraic proof system introduced by Grochow and Pitassiโ€ฆ

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Online Budget-Feasible Mechanism Design with Predictions

Georgios Amanatidis, Evangelos Markakis, Christodoulos Santorinaios, Guido Schafer, Panagiotis Tsamopoulos, Artem Tsikiridis ยท 2025

Augmenting the input of algorithms with predictions is an algorithm design paradigm that suggests leveraging a (possibly erroneous) prediction to improve worst-case performance guarantees when the preโ€ฆ

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