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From the 1 of 1.2k papers with an AI index.

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20032025
most citedReview of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

1k citations

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10 papers · 1 filter

cs.CV202517 cited

LXLv2: Enhanced LiDAR Excluded Lean 3D Object Detection with Fusion of 4D Radar and Camera

Weiyi Xiong, Zean Zou, Qiuchi Zhao +2

As the previous state-of-the-art 4D radar-camera fusion-based 3D object detection method, LXL utilizes the predicted image depth distribution maps and radar 3D occupancy grids to a…

cs.AI20258 cited

AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling

Hao Zhou, Wenge Rong, Jianfei Zhang +3

Knowledge Tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant…

cs.IR20252 cited

MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation

Xiangjin Xie, Yuxin Chen, Ruipeng Wang +8

Graph neural networks have been widely used in recent recommender systems, where negative sampling plays an important role. Existing negative sampling methods restrict the relation…

cs.MA2025

Fresh2comm: Information Freshness Optimized Collaborative Perception

Ziyong Wu, Zhilin Peng, Lei Yu

Collaborative perception is a cornerstone of intelligent connected vehicles, enabling them to share and integrate sensory data to enhance situational awareness. However, measuring…

cond-mat.mes-hall20256 cited

Floquet-Volkov interference in a semiconductor

Changhua Bao, Haoyuan Zhong, Benshu Fan +9

Intense light-field can dress both Bloch electrons inside crystals and photo-emitted free electrons in the vacuum, dubbed as Floquet and Volkov states respectively. These quantum s…

cs.LG202512 cited

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning

Yu Feng, Yangli-ao Geng, Yifan Zhu +7

Federated learning (FL) has gained widespread attention for its privacy-preserving and collaborative learning capabilities. Due to significant statistical heterogeneity, traditiona…