50 citations · 130 across the 15 of their papers we have counts for
8 papers · 1 filter
An adaptive experience-based discrete genetic algorithm for multi-trip picking robot task scheduling in smart orchards
Peng Chen, Jing Liangb, Kang-Jia Qiao +5
The continuous innovation of smart robotic technologies is driving the development of smart orchards, significantly enhancing the potential for automated harvesting systems. While…
GuardFed: A Trustworthy Federated Learning Framework Against Dual-Facet Attacks
Yanli Li, Yanan Zhou, Zhongliang Guo +6
Federated learning (FL) enables privacy-preserving collaborative model training but remains vulnerable to adversarial behaviors that compromise model utility or fairness across sen…
An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models
Jinbo Li, Peng Liu, Long Chen +2
The integration of different learning paradigms has long been a focus of machine learning research, aimed at overcoming the inherent limitations of individual methods. Fuzzy rule-b…
Negation-Aware Weighted Information Fusion for Reliable Evidential Reasoning
Qiying Hu, Yingying Liang, and Rui Sun +2
Dempster--Shafer theory (DST) provides an attractive framework for multi-source information fusion. However, its effectiveness critically depends on how a BPA is constructed for ea…
Multi-objective task allocation for electric harvesting robots: a hierarchical route reconstruction approach
Peng Chen, Jing Liang, Hui Song +5
The increasing labor costs in agriculture have accelerated the adoption of multi-robot systems for orchard harvesting. However, efficiently coordinating these systems is challengin…
LLM4CMO: Large Language Model-aided Algorithm Design for Constrained Multiobjective Optimization
Zhen-Song Chen, Hong-Wei Ding, Xian-Jia Wang +1
Constrained multi-objective optimization problems (CMOPs) frequently arise in real-world applications where multiple conflicting objectives must be optimized under complex constrai…
ZeroLM: Data-Free Transformer Architecture Search for Language Models
Zhen-Song Chen, Hong-Wei Ding, Xian-Jia Wang +1
Neural architecture search (NAS) provides a systematic framework for automating the design of neural network architectures, yet its widespread adoption is hindered by prohibitive c…
Fuzzy Granule Density-Based Outlier Detection with Multi-Scale Granular Balls
Can Gao, Xiaofeng Tan, Jie Zhou +2
Outlier detection refers to the identification of anomalous samples that deviate significantly from the distribution of normal data and has been extensively studied and used in a v…