output
20062026
most citedLearning Intents behind Interactions with Knowledge Graph for Recommendation

579 citations

141 papers

cs.SE2026

EchoFuzz: Empowering Smart Contract Fuzzing with Large Language Models

Juanen Li, Peng Qian, Guanyan Li +6

Smart contracts, serving as the cornerstone of decentralized applications, autonomously manage trillion-dollar digital assets, making them attractive targets for attacks. Fuzzing h…

cs.CV2026

FU-Mamba: A Frequency-Enhanced Dynamic Scanning Framework for Oralscan Image Segmentation

Xinxin Zhao, Jinpeng Ye, Bo Wei +8

Oralscan image segmentation is essential for computer-aided diagnosis and treatment planning in digital dentistry. However, existing visual state space models (SSMs) often rely on…

cs.SE2026

Dissecting Software Graphs: Structural Insights for Driver-Guided Fuzzing

Baihong Chen, Hua Ming, Weifeng Pan +3

Many software systems expose multiple execution modes through command-line options, subcommands, and configuration flags. For such programs, fuzzing depends on both mutated inputs…

cs.DC2026

Scaling Synthetic-Image Pre-Training for Federated Fine-Tuning of Large Vision Models

Qianpiao Ma, Xiaozhu Song, Junlong Zhou +3

Federated fine-tuning (FedFT) enables adapting pre-trained large vision models (LVMs) on distributed, privacy-sensitive devices, while its practical deployment is hindered by three…

stat.ME2026

Sufficient Dimension Reduction via Inverse Conditional Mean or Variance Independence

Jicai Liu, Yu Zhang, Jinhong Li

This paper presents a unified framework for sufficient dimension reduction (SDR) that generalizes several existing SDR techniques and offers new insights into the connection betwee…

math.PR2026

Chung-type laws of the iterated logarithm for -fold weighted integrated fractional processes

Li-Xin Zhang

Let be a fractional Brownian motion of order , and be the -fold weighted integrals of defined as $$ J_{m,\bmα}(B_H)(t) =\int…