Yunliang Jiang

FCD-DETR: An Efficient UAV Object Detection with Feature Intensity Enhancement

Yi-Xiang Wang, Riheng Jia, Dawei Zhang, Zhonglong Zheng et autres

cn (code pays fourni par la source)

Convergent Interval Confirmation for Three‐Step Discrete Specific Zeroing Neural Dynamics Illustrated With Repetitive Motion Planning of Redundant Manipulators

Ying Kong, Shaoyuan Sun, Yunliang Jiang, Lin Wei

ABSTRACT Repetitive motion planning (RMP) for redundant manipulators with high convergent precision becomes an intense research topic due to its more degrees of freedom. In this paper, a specific zeroing neural dynamics (SZND) model for the RMP is first set up via …

cn, sg (code pays fourni par la source)

WLR: Well-conditioned linear reconstruction for retraining-free pruning of LLMs

Siqi Li, Jingyang Xiang, Jiateng Wei, Chengrui Zhu et autres

cn (code pays fourni par la source)

HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs

Tingyi Cai, Yunliang Jiang, Ming Li, Changqin Huang et autres

Out-of-distribution (OOD) detection plays a critical role in ensuring the robustness of machine learning models in open-world settings. While extensive efforts have been made in vision, language, and graph domains, the challenge of OOD detection in hypergraph-structured data remains unexplored. In this …

cn (code pays fourni par la source)

Riemannian Momentum Tracking: Distributed Optimization With Momentum on Compact Submanifolds

Jun Chen, Tianyi Zhu, H. Ye, Lina Liu et autres

Gradient descent with momentum has been widely applied in various signal processing and machine learning tasks, demonstrating a notable empirical advantage over standard gradient descent. However, momentum-based distributed Riemannian algorithms have been only scarcely explored. In this paper, we propose Riemannian Momentum …

cn, sg (code pays fourni par la source)

AdpFL: A Privacy-Preserving Federated Learning Framework through Adaptive Model Pruning on Non-IID Data

Dewei Ning, Yong-Feng Ge, Elisa Bertino, Zhonglong Zheng et autres

Federated learning (FL) has shown great potential, especially with the rise of complex foundation models and growing privacy needs. FL has experienced challenges, including high communication costs, privacy concerns of user data, and the complexities of non-independent and identically distributed (non-IID) data. …

au, us, cn (code pays fourni par la source)

Distributed Nonconvex Optimization for Nitrogen Fertilizer Management in Field Crops

Banghua Huang, Yang Liu, Amol Yerudkar, Luigi Glielmo et autres

cn, it (code pays fourni par la source)

Predictor–Corrector Advanced Zeroing Neural Network for Combination of Nonlinear Equations and Bounded Inequalities

Ying Kong, Junjie Hao, Yunliang Jiang, Yuanqing Tang et autres

cn (code pays fourni par la source)

AWM-SAM: A SAM-Enhanced Dual-Stream Network with Text-Guided Asymmetric Wavelet Modulation for Referring Remote Sensing Image Segmentation

Siyang Wang, Xiaobo Li, Zhendi Ma, Yuxin Zhao et autres

cn (code pays fourni par la source)

A two-stage large-scale multiobjective evolutionary algorithm based on offset direction sampling and dual-layer competition

Zhen Yang, Xun Li, Xingyi Zhang, Yunliang Jiang et autres

cn (code pays fourni par la source)

A born-again Takagi-Sugeno-Kang fuzzy classifier with decoupled fuzzy dark knowledge distillation

Xiongtao Zhang, Zezong Yin, Yunliang Jiang, Yizhang Jiang et autres

cn (code pays fourni par la source)

Prediction-Based Scheduling and Matching for Ride-Hailing: A Two-Stage Approach

Kuipeng Qiu, Riheng Jia, Chaoli Zhang, Xiong Wang et autres

Despite the rapid growth of the ride-hailing market, resource imbalances across different regions within the city often lead to the long passenger waiting time and wasted idle vehicles. Thus in this work, we propose a novel regional-level two-stage ride-hailing framework consisting of …

cn (code pays fourni par la source)