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Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)This paper focuses on a significant yet challenging task: out-of-distribution detection (OOD detection), which aims to distinguish and reject test samples with semantic shifts, so as to prevent models trained on in-distribution ... -
Complementary Learning Subnetworks towards Parameter-Efficient Class-Incremental Learning
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)In the scenario of class-incremental learning (CIL), deep neural networks have to adapt their model parameters to non-stationary data distributions, e.g., the emergence of new classes over time. To mitigate the catastrophic ... -
Prediction and Feedback Assisted Evolutionary Algorithms for Scheduling Urban Traffic Signals
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)With the acceleration of urbanization, the traffic congestion issue is becoming more and more prominent in large cities. The effective scheduling of urban traffic signals becomes critical. This study proposes three novel ... -
A Reinforced Neighborhood Search Method Combined With Genetic Algorithm for Multi-Objective Multi-Robot Transportation System
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)With the rapid advancement of artificial intelligence, autonomous multi-robot systems have been successfully applied to various domains. Therefore, developing intelligent routing and scheduling systems to efficiently ... -
Stacked Ensemble Deep Random Vector Functional Link Network with Residual Learning for Medium-Scale Time-Series Forecasting
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)The deep random vector functional link (dRVFL) and ensemble dRVFL (edRVFL) succeed in various tasks and achieve state-of-the-art performance compared with other randomized neural networks (NNs). However, existing edRVFL ... -
Underwater Acoustic Signal Denoising Algorithms: A Survey of the State of the Art
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2025 , Article)Underwater acoustic signal (UAS) denoising is crucial for enhancing the reliability of underwater communication and monitoring systems by mitigating the effects of noise and improving signal clarity. The complex and dynamic ...
