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All papers authored by Rong Qu

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2024 Bingchen Lin

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, Tianxiang Cui

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, Huan Jin

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, Rong Qu

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, Jon Garibaldi

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A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem

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Zhiwen Xiao

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, Rong Qu

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, Li Feng, Shouxi Luo

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, Yuanshun Dai

Densely Knowledge-Aware Network for Multivariate Time Series Classification

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Weiyao Meng

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, Rong Qu

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Automated design of local search algorithms: Predicting algorithmic components with LSTM

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Xinan Chen

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, Rong Qu

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Transformer Surrogate Genetic Programming for Dynamic Container Port Truck Dispatching

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Xinan Chen

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, Rong Qu

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, Jing Dong, Yaochu Jin

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Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks

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2023 Wenjie Yi

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, Rong Qu

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Automated design of search algorithms based on reinforcement learning

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Uwe Aickelin

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, Hadi Akbarzadeh Khorshidi

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, Rong Qu

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, Hadi Charkhgard

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Guest Editorial Special Issue on Multiobjective Evolutionary Optimization in Machine Learning

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Weiyao Meng

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, Rong Qu

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Sequential Rule Mining for Automated Design of Meta-heuristics

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Wenjie Yi

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, Rong Qu

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Automated algorithm design using proximal policy optimisation with identified features

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Xiaotong Li

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, Hao Zhu

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, Fang Liu

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, Xiangrong Zhang

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, Rong Qu

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A Collaborative Learning Tracking Network for Remote Sensing Videos

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Marco S. Nobile, Luca Manzoni, Daniel A. Ashlock, Rong Qu

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Models of Representation in Computational Intelligence [Guest Editorial]

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Zhiwen Xiao

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, Huagang Tong, Rong Qu

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, Li Feng

CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition

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Zhiwen Xiao

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, Rong Qu

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, Ke Li

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Deep Contrastive Representation Learning With Self-Distillation

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2022 Yuwei Guo

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, Rong Qu

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, Zhuangzhuang Sun

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, Shuang Wang, Shuo Wang

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, Fang Liu

Adaptive Fuzzy Learning Superpixel Representation for PolSAR Image Classification

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Huanlai Xing

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, Rong Qu

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An Efficient Federated Distillation Learning System for Multitask Time Series Classification

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Wenjie Yi

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, Rong Qu

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, Ben Niu

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Automated Design of Metaheuristics Using Reinforcement Learning within a Novel General Search Framework

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Xinan Chen

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, Rong Qu

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, Haibo Dong

Cooperative Double-Layer Genetic Programming Hyper-Heuristic for Online Container Terminal Truck Dispatching

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2021 Weiyao Meng

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, Rong Qu

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Automated design of search algorithms: Learning on algorithmic components

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2020 Qiyi He

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, Xiaolin Meng, Rong Qu

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, Ruijie Xi

Machine Learning-Based Detection for Cyber Security Attacks on Connected and Autonomous Vehicles

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Nelishia Pillay

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, Rong Qu

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Assessing hyper-heuristic performance

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