Xue Yu, Professor, PhD Supervisor, IEEE Senior Member. My main research interests include evolutionary computation, deep learning, lightweight deep learning, lightweight large models, computer vision, and feature-map selection. I have led two General Programs of the National Natural Science Foundation of China (NSFC), one collaborative project under a General NSFC Program, one NSFC Young Scientists Fund project, one Jiangsu Provincial Natural Science Foundation for Youth project, one Natural Science Research Project for Universities in Jiangsu Province, and four other provincial- or ministerial-level projects. In addition, I have participated in more than ten national or provincial-level research efforts.

I received the Second Prize of the Natural Science Award from the Chinese Association of Automation (where I was ranked third) and the Third Prize of the Provincial Natural Science Award (ranked second). To date, I have published over 100 academic papers in both domestic and international journals, accumulating more than 8,000 citations. I have been listed for several consecutive years among the top 2% of scientists globally. Two of my first-author papers were selected as ESI Hot Papers (top 0.1% worldwide), and seven were recognized as ESI Highly Cited Papers (top 1% worldwide). More than twenty of my co-authored papers have also been named ESI Highly Cited Papers.

I serve as Associate Editor for Memetic Computing and the International Journal of Computing Science and Mathematics; as Guest Editor for journals such as IEEE TETCI, Mathematics, and Electronic Research Archive; and as a reviewer for over 200 SCI-indexed journals including IEEE TEVC, IEEE TNNLS, IEEE TPAMI, IEEE TETCI, IEEE TCYB, IEEE TKDE, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Emerging Topics in Computing, IEEE Transactions on Green Communications and Networking, IEEE Transactions on Games, IEEE Transactions on Industrial Informatics, IEEE Transactions on Consumer Electronics, IEEE Transactions on Image Processing, SCIENCE CHINA Information Sciences, Journal of Computer Research and Development, Journal of Software, Acta Automatica Sinica, Swarm and Evolutionary Computation, Applied Soft Computing, Knowledge-Based Systems, International Journal of Machine Learning and Cybernetics, Information Sciences, European Journal of Operational Research, Complex & Intelligent Systems, Expert Systems with Applications, Pattern Recognition, Information Fusion, Engineering Applications of Artificial Intelligence, Journal of Visual Communication and Image Representation, Neural Networks, ACM Transactions on Evolutionary Learning and Optimization, International Journal of Pattern Recognition and Artificial Intelligence, Natural Computing, Artificial Intelligence Review, Applied Intelligence, Frontiers of Computer Science, ACM Transactions on Management Information Systems, Machine Learning with Applications, and IEEE Internet of Things Journal, among others.

I am responsible for teaching the following courses: Introduction to Artificial Intelligence (undergraduate); Machine Learning (for graduate, undergraduate, and international students); and Theory and Application of Machine Learning (for domestic and international PhD students).

I am currently recruiting PhD and master’s students in artificial intelligence—particularly in evolutionary computing, deep learning, lightweight deep learning, lightweight large models, computer vision, and feature-map selection. I can supervise students through both the School of Software and the School of Computer & Cyberspace Security. I welcome ambitious, diligent, and persistent learners who are dedicated to research in AI theory and applications. Those who shy away from challenges, avoid responsibility, or lack self-motivation need not apply.

Contact

Email: xueyu@nuist.edu.cn

WeChat: xueyu1258

QQ: 66516797

International PhD Opportunities I offer opportunities for doctoral studies at leading universities—University of Surrey (QS 2019 ranking: 140) via China Scholarship Council joint funding, Victoria University of Wellington (QS 2022 ranking: 194), University of Nottingham (QS Top 100), University of Tokyo (QS Top 25), Tokyo Institute of Technology (QS Top 60), RIKEN, University of Toyama, and University of South Australia.

My team is equipped with multiple high-performance GPUs (4090, 3090, 2080), and partner institutions provide access to over 50 additional GPUs, ensuring ample computing resources. Every graduate student from Year 1 to Year 3 receives basic research assistant funding. We cover publication fees, proofreading costs, and page charges for journals and conferences, and single-paper bonuses can reach up to RMB 5,000. I encourage students to explore industry employment in their third year without pressure to continue in academia before graduation. Through my guidance, students gain hands-on experience writing grant proposals and enjoy plentiful opportunities to interact directly with me. Conference participation (domestic or international) is also well supported financially.

Student Achievements Many of my students have earned national-level graduate scholarships (RMB 20,000), presidential scholarships (RMB 20,000), and the Puxin Elite Scholarship (RMB 10,000). Others have received second-class PhD scholarships (RMB 33,000/year), first-class outstanding master’s freshman scholarships (RMB 32,000/year), and tiered academic scholarships (first-class: RMB 18,000/year; second-class: RMB 14,000/year; third-class: RMB 8,000/year). Each year from 2020 to 2025, at least one student has secured a Jiangsu Province Graduate Innovation Project grant (RMB 15,000).

One of my graduate students secured full CSC funding in their third year to pursue a PhD at the University of Surrey, saving their family approximately RMB 1.6 million.

Notable Graduates

Han Xiaolong (Class of 2022): In 2024 he received RMB 83,000 in awards—National Scholarship (RMB 20,000), Presidential Scholarship (RMB 20,000), Puxin Elite Scholarship (RMB 10,000), First-class Academic Scholarship (RMB 18,000), and a Graduate Innovation Project grant (RMB 15,000). He also received advisor-supported awards totaling RMB 59,000 for papers, patents, projects, assistantships, conference support, publication fees, and patent application fees.

Supervision Overview

PhD students supervised: 7 (including graduates)

Master’s students supervised: 55 (including graduates)

No student under my supervision has ever been forced to withdraw or take a leave of absence. Over a dozen cohorts have graduated successfully and on time. Most complete the graduation requirements by the second semester of their second year, allowing them to secure competitive positions in the fall recruitment season. The skills they acquire are directly applicable to real-world enterprise challenges, including project deployment and operational roles.

Career Destinations of Outstanding Master’s Graduates Alibaba Ant Group (annual salary: RMB 700,000), Microsoft (RMB 400,000), Yixing Municipal Government Office, Nanjing Liuhe District Development and Reform Commission, China Mobile, China Unicom, China Telecom, China Construction Bank, Nanjing University of Information Science and Technology, China Minsheng Bank (Changsha Branch), Xuzhou Telecom, Yancheng Teachers University, Xuancheng Housing and Urban-Rural Development Bureau, ENN Xinzhi Technology Co., Jinling Machinery Manufacturing Plant, Baiyang Times (Nanjing) Technology Co., Jiangsu Jinling Technology Group Co., Suzhou Rural Commercial Bank, China Mobile (Suzhou) Software Technology Co., Changan Mazda, Wuxi Siasun Medical Technology Co., Ltd., and others.

Academic Positions:

(1) Guest Editor, IEEE Transactions on Emerging Topics in Computational Intelligence (JCR Q1 Journal; Special Issue: Neural Architecture Search and Large Machine Learning Models, https://cis.ieee.org/publications/t-emerging-topics-in-ci/tetci-special-issues, Submission deadline: 31 December 2024)

(2) Guest Editor, Mathematics (JCR Q1 Journal; Special Issue: Evolutionary Computation for Feature Selection and Dimensionality Reduction, https://www.mdpi.com/journal/mathematics/special_issues/64HV6EA39T, Submission deadline: 10 June 2025)

(3) Guest Editor, Wireless Power Transfer (Special Issue: Advanced Wireless Power Transmission Technology, https://www.maxapress.com/wpt/specials/126, Submission deadline: 1 July 2025

(4) Guest Editor, Electronic Research Archive (SCI Q4 Journal; Special Issue: Evolutionary Generative Adversarial Networks for Different Industries and Applications, URL: http://www.aimspress.com/era/article/6564/special-articles, 2023.08-2024.06)

(5) Guest Editor, Mathematics (SCI Q3 Journal; Special Issue: Evolutionary Computation for Deep Learning and Machine Learning, https://www.mdpi.com/journal/mathematics/special_issues/evolutionary_computation_deep_learning_machine_learning, 2023.08-2024.06, Issue 2, Issue 1: 2023.01-2023.06)

(6) Guest Editor, Neural Computing and Applications (SCI Q2 Journal; Special Issue: Hybrid Approaches to Nature-inspired Optimization Algorithms and Their Applications, URL: https://www.springer.com/journal/521/updates/23345646, 2023.01-2023.06)

(7) Guest Editor, Frontiers in Plant Science (SCI Q1 Journal; Special Issue: Intelligent Computing Research with Applications in Ecological Plant Protection, URL: https://www.frontiersin.org/research-topics/46310/intelligent-computing-research-with-applications-in-biotechnology, 2023.01-2023.06)

(8) Chair, Workshop on Evolutionary Computation for Deep Learning and Machine Learning, 2019 International Conference on Artificial Intelligence and Security

(9) Chair, Workshop on Evolutionary Computation for Deep Learning and Machine Learning, 2020 International Conference on Artificial Intelligence and Security

(10) Chair, Workshop on Evolutionary Computation for Deep Learning and Machine Learning, 2021 International Conference on Artificial Intelligence and Security

(11) Chair, Workshop on Evolutionary Computation for Deep Learning and Machine Learning, 2022 International Conference on Machine Learning, Cloud Computing, and Intelligent Mining

(12) Member, Intelligent Simulation Optimization and Scheduling Committee of the Chinese Society of Simulation, Member, Natural Computing and Digital Intelligent Cities Committee of the Chinese Association for Artificial Intelligence, Member, Artificial Intelligence and Security Committee of the Chinese Association for Artificial Intelligence, Member, Artificial Intelligence Fundamentals Committee of the Chinese Association for Artificial Intelligence, Member, Intelligent Optimization and Application Committee of the Jiangsu Province Automation Society, and several other professional committees.

Published Academic Papers:

[1] Onzo Bernard-marie, Yu Xue, and Ferrante Neri, Surrogate-assisted evolutionary neural architecture search based on smart-block discovery, Expert Systems with Applications, vol. 277, pp. 127237, 2025.

[2] Yu Xue, Yan Lin, and Ferrante Neri, Architecture knowledge distillation for evolutionary generative adversarial network, International Journal of Neural Systems, vol. 35, no. 4, pp. 2550013, 2025.

[3] Bing-ling Cen, Yu Xue, Kun Zhang, Lisi Jia, and Hong-di He, Study on traffic flows with connected vehicles and human-driven vehicles, Applied Mathematics and Computation, vol. 490, pp. 129182, 2025.

[4] Yu Xue, Chenhang Yao, Mohamed Wahib, and Moncef Gabbouj, YOLO-DKR: Differentiable architecture search based on kernel reusing for object detection, Information Sciences, vol. 713, pp. 122180, 2025.

[5] Jiang P, Neri F, Xue Y, et al. A Generalised Attention Mechanism to Enhance the Accuracy Performance of Neural Networks[J]. International journal of neural systems, 2024: 2450063.

[6] Luo H, Xue Y, Huang M, et al. Pattern and waves on 2D-Kuramoto model with many-body interactions[J]. Chaos, Solitons & Fractals, 2024, 179: 114402.

[7] Yu Xue, Jiajie Zha, Danilo Pelusi, Peng Chen, Tao Luo, Liangli Zhen, Yan Wang, and Mohamed Wahib, Neural architecture search with progressive evaluation and sub-population preservation, IEEE Transactions on Evolutionary Computation,DOI: 10.1109/TEVC.2024.3393304, 2024.

[8] Yu Xue, Weinan Tong, Ferrante Neri, Peng Chen, Tao Luo, Liangli Zhen, and Xiao Wang, Evolutionary architecture search for generative adversarial networks based on weight sharing, IEEE Transactions on Evolutionary Computation, vol. 28, no. 3, pp. 653-667, 2024.

[9] Yu Xue, Chen Chen, and Adam Slowik, Neural architecture search based on a multi-objective evolutionary algorithm with probability stack, IEEE Transactions on Evolutionary Computation, vol. 27, no. 4, pp. 778-786, 2023.

[10] Yu Xue, Xiaolong Han, Ferrante Neri, Jiafeng Qin, and Danilo Pelusi, A gradient-guided evolutionary neural architecture search, IEEE Transactions on Neural Networks and Learning Systems,DOI：10.1109/TNLS.2024.3371432, pp. 1-13, 2024.

[11] Pengcheng Jiang, Yu Xue, and Ferrante Neri, Score predictor-assisted evolutionary neural architecture search, IEEE Transactions on Emerging Topics in Computational Intelligence,DOI：10.1109/TETCI.2025.3526179, 2025.

[12] Yu Xue, Changchang Lu, Ferrante Neri, and Jiafeng Qin, Improved differentiable architecture search with multi-stage progressive partial channel connections, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8, no. 1, pp. 32-43, 2024.

[13] Yu Xue, Xiaolong Han, and Zehong Wang, Self-adaptive weight based on dual-attention for differentiable neural architecture search, IEEE Transactions on Industrial Informatics, vol. 20, no. 4, pp. 6394-6403, 2024.

[14] Yu Xue, Kun Chen, and Ferrante Neri, Differentiable architecture search with attention mechanisms for generative adversarial networks, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8, no. 4, pp. 3141-3151, 2024.

[15] Xu Cai, and Yu Xue, A population initialization method based on similarity and mutual information in evolutionary algorithm for bi-objective feature selection, ACM Transactions on Evolutionary Learning and Optimization, vol. 4, no. 3, pp. 1-21, 2024.

[16] Yu Xue, and Jiafeng Qin, Partial connection based on channel attention for differentiable neural architecture search, IEEE Transactions on Industrial Informatics, vol. 19, no. 5, pp. 6804-6813, 2023.

[17] Yu Xue, Yihang Tang, Xin Xu, Jiayu Liang, and Ferrante Neri, Multi-objective feature selection with missing data in classification, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 6, no. 2, pp. 355-364, 2022.

[18] Yu Xue, Xiangmao Chang, Shuiming Zhong, and Yi Zhuang, An efficient energy hole alleviating algorithm for wireless sensor networks, IEEE Transactions on Consumer Electronics, vol. 60, no. 3, pp. 347-355, 2014.

[19] Yu  Xue, Bing  Xue, and Mengjie Zhang, Self-adaptive particle swarm optimization for large-scale feature selection in classification, ACM Transactions on Knowledge Discovery from Data, vol. 13, no. 5, pp. 1-27, 2019.

[20] Chenyi Zhang, Yu Xue, Ferrante Neri, Xu Cai, and Adam Slowik, Multi-objective self-adaptive particle swarm optimization for large-scale feature selection in classification, International Journal of Neural Systems, vol. 34, no. 03, pp. 2450014, 2024.

[21] Yu Xue, and Anjing Zhu, An effective surrogate-assisted rank method for evolutionary neural architecture search, Applied Soft Computing, vol. 167, pp. 112392, 2024.

[22] Yu Xue, and Chenyi Zhang, A novel importance-guided particle swarm optimization based on MLP for solving large-scale feature selection problems, Swarm and Evolutionary Computation, vol. 91, pp. 101760, 2024.

[23] Yu Xue, Jiajie Zha, Mohamed Wahib, Tinghui Ouyang, and Xiao Wang, Neural architecture search via similarity adaptive guidance, Applied Soft Computing, vol. 162, pp. 111821, 2024.

[24] Xiaolong Han, Yu Xue, Zehong Wang, Yong Zhang, Anton Muravev, and Moncef Gabbouj, SaDENAS: a self-adaptive differential evolution algorithm for neural architecture search, Swarm and Evolutionary Computation, vol. 91, pp. 101736, 2024.

[25] Jiang Pengcheng, Xue Yu, "Evolutionary Neural Architecture Search Method Based on Ranking Score Prediction," Journal of Computer Science, vol. 47, no. 11, pp. 2522-2535, 2024.

[26] Yu Xue, Haokai Zhu, and Ferrante Neri, A feature selection approach based on NSGA-II with ReliefF, Applied Soft Computing, vol. 134, pp. 109987, 2023.

[27] Yu Xue, Yixia Zhang, and Ferrante Neri, A method based on evolutionary algorithms and channel attention mechanism to enhance cycle generative adversarial network performance for image translation, International Journal of Neural Systems, vol. 33, no. 05, pp. 2350026, 2023.

[28] Yu Xue, Qi Zhang, and Adam Slowik, Automatic topology optimization of echo state network based on particle swarm optimization, Engineering Applications of Artificial Intelligence, vol. 117, pp. 105574, 2023.

[29] Yu Xue, Chenyi Zhang, and Ferrante Neri, An external attention-based feature ranker for large-scale feature selection, Knowledge-Based Systems, vol. 281, pp. 111084, 2023.

[30] Pengcheng Jiang, Yu Xue, and Ferrante Neri, Continuously evolving dropout with multi-objective evolutionary optimisation, Engineering Applications of Artificial Intelligence, vol. 124, pp. 106504, 2023.

[31] Pengcheng Jiang, Yu Xue, and Ferrante Neri, Convolutional neural network pruning based on multi-objective feature map selection for image classification, Applied Soft Computing, vol. 139, pp. 110229, 2023.

[32] Yu Xue, Qi Zhang, and Yan Zhao, An improved brain storm optimization algorithm with new solution generation strategies for classification, Engineering Applications of Artificial Intelligence, vol. 110, pp. 104677, 2022.

[33] Yu Xue, Yiling Tong, and Ferrante Neri, An ensemble of differential evolution and Adam for training feed-forward neural networks, Information Sciences, vol. 608, pp. 453-471, 2022.

[34] Yu Xue, Xu Cai, and Ferrante Neri, A multi-objective evolutionary algorithm with interval based initialization and self-adaptive crossover operator for large-scale feature selection in classification, Applied Soft Computing, vol. 127, pp. 109420, 2022.

[35] Yu  Xue, Haokai  Zhu, Jiayu  Liang, and Adam Slowik, Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification, Knowledge-Based Systems, vol. 227, no. 5, pp. 1-9, 2021.

[36] Yu Xue, Qi Zhang, and Ferrante Neri, Self-adaptive particle swarm optimization-based echo state network for time series prediction, International Journal of Neural Systems, vol. 31, no. 12, pp. 1-15, 2021.

[37] Yu Xue, Yankang Wang, Jiayu Liang, and Adam Slowik, A self-adaptive mutation neural architecture search algorithm based on blocks, IEEE Computational Intelligence Magazine, vol. 16, no. 3, pp. 67-78, 2021.

[38] Yu Xue, Pengcheng Jiang, Ferrante Neri, and Jiayu Liang, A multi-objective evolutionary approach based on graph-in-graph for neural architecture search of convolutional neural networks, International Journal of Neural Systems, vol. 31, no. 09, pp. 2150035, 2021.

[39] Yu  Xue, Tao  Tang, Wei  Pang, and Alex X. Liu, Self-adaptive parameter and strategy based particle swarm optimization for large-scale feature selection problems with multiple classifiers, Applied Soft Computing, vol. 88, pp. 106031, 2020.

[40] Xue Yu, Zhuang Yi, Gu Jingjing, Chang Xiangmao, Wang Zhou, "Selection of Adaptive Discrete Differential Evolution Algorithm Strategy," Journal of Software, vol. 25, no. 5, pp. 984-996, 2014.

[41] Xue Yu, Zhuang Yi, Meng Xin, Zhang Youyi, "Adaptive Learning Ensemble Optimization Algorithm and Matrix Eigenvalue Solving," Computer Research and Development, vol. 50, no. 7, pp. 1435-1443, 2013.

[42] Yixia Zhang, Yu Xue, and Ferrante Neri, Multi-optimiser training for GANs based on evolutionary computation, IEEE Congress on Evolutionary Computation (CEC), pp. 1-8, 2024.

[43] Yu Xue, Zhenman Zhang, and Ferrante Neri, Similarity surrogate-assisted evolutionary neural architecture search with dual encoding strategy, Electronic Research Archive, vol. 32, no. 2, pp. 1017-1043, 2024.

[44] Pengcheng Jiang, Yu Xue, Ferrante Neri, and Mohamed Wahib, Surrogate-assisted evolutionary neural architecture search with isomorphic training and prediction, International Conference on Intelligent Computing (ICIC), pp. 191-203, 2024.

[45] Liwen Jiang, Yu Xue, Ferrante Neri, Xiaoping Zhao, and Mohamed Wahib, Progressive neural predictor with score-based sampling, International Joint Conference on Neural Networks (IJCNN), pp. 1-8, 2024.

[46] Xue Yu, Lu Changchang, "Continuous Evolutionary Neural Architecture Search Based on Biased Sampling," Computer Engineering, vol. 50, no. 02, pp. 91-97, 2024.

[47] Zhenman Zhang, Yu Xue, and Adam Slowik, Sle-CNN: a novel convolutional neural network for sleep stage classification, Neural Computing and Applications, vol. 35, no. 23, pp. 17201-17216, 2023.

[48] Yu Xue, Yiling Tong, and Ferrante Neri, A hybrid training algorithm based on gradient descent and evolutionary computation, Applied Intelligence, vol. 53, no. 18, pp. 21465-21482, 2023.

[49] Yu Xue, Xu Cai, and Weiwei Jia, Particle swarm optimization based on filter-based population initialization method for feature selection in classification, Journal of Ambient Intelligence and Humanized Computing, vol. 14, no. 6, pp. 7355-7366, 2023.

[50] Xue Yu, Zhang Yixuan, "A Review on Deep Neural Network Architecture Search," Information Network Security, vol. 23, no. 09, pp. 58-74, 2023.

[51] Hu Zhongyuan, Xue Yu, and Zha Jiayue, "A Review on Evolutionary Recurrent Neural Networks," Computer Science, vol. 50, no. 03, pp. 254-265, 2023.

[52] Yu Xue, Haokai Zhu, and Ferrante Neri, A self-adaptive multi-objective feature selection approach for classification problems, Integrated Computer-Aided Engineering, vol. 29, no. 1, pp. 3-21, 2022.

[53] Yu Xue, and Yan Zhao, Structure and weights search for classification with feature selection based on brain storm optimization algorithm, Applied Intelligence, vol. 52, no. 5, pp. 5857-5866, 2022.

[54] Yu Xue, Yankang Wang, and Jiayu Liang, A self-adaptive gradient descent search algorithm for fully-connected neural networks, Neurocomputing, vol. 478, pp. 70-80, 2022.

[55] Yu Xue, Weinan Tong, Ferrante Neri, and Yixia Zhang, PEGANs: phased evolutionary generative adversarial networks with self-attention module, Mathematics, vol. 10, no. 15, pp. 2792, 2022.

[56] Yu Xue, Bernard-Marie Onzo, Romany F Mansour, and Shoubao Su, Deep convolutional neural network approach for COVID-19 detection, Computer Systems Science & Engineering, vol. 42, no. 1, pp. 201-211, 2022.

[57] Yu Xue, Yan Zhao, and Adam Slowik, Classification based on brain storm optimization with feature selection, IEEE Access, vol. 9, pp. 16582 - 16590, 2021.

[58] Yu Xue, Yiling Tong, Ziming Yuan, Shoubao Su, Adam Slowik, and Sam Toglaw, Handwritten character recognition based on improved convolutional neural network, Intelligent Automation and Soft Computing, vol. 29, no. 2, pp. 497-509, 2021.

[59] Yu Xue, Jiafeng Qin, Shoubao Su, and Adam Slowik, Brain storm optimization based clustering for learning behavior analysis, Computer Systems Science and Engineering, vol. 39, no. 2, pp. 211-219, 2021.

[60] Yu Xue, Bernard-marie Onzo, and Ferrante Neri, Intrusion detection system based on an updated ANN model, Advances in Swarm Intelligence (ICSI ), pp. 472-479, 2021.

[61] Yu Xue, Chen Chen, Chishe Wang, Linguo Li, and Romany F. Mansour, Face image compression and reconstruction based on improved PCA, Intelligent Automation and Soft Computing, vol. 30, no. 3, pp. 973-982, 2021.

[62] Yu  Xue, Tao  Tang, and Alex X. Liu, Large-scale feedforward neural network optimization by a self-adaptive strategy and parameter based particle swarm optimization, IEEE Access, vol. 7, pp. 52473-52483, 2019.

[63] Yu Xue, Weiwei Jia, and Alex X Liu, A particle swarm optimization with filter-based population initialization for feature selection, IEEE Congress on Evolutionary Computation (CEC), pp. 1572-1579, 2019.

[64] Yu  Xue, Binping  Zhao, Tinghuai  Ma, and Alex X. Liu, An evolutionary classification method based on fireworks algorithm, International Journal of Bio-Inspired Computation, vol. 11, no. 3, pp. 149-158, 2018.

[65] Yu  Xue, Binping  Zhao, Tinghuai  Ma, and Wei Pang, A self-adaptive fireworks algorithm for classification problems, IEEE Access, vol. 6, no. 01, pp. 44406-44416, 2018.

[66] Yu  Xue, Jiongming  Jiang, Binping  Zhao, and Tinghuai Ma, A self-adaptive artificial bee colony algorithm based on global best for global optimization, Soft Computing, vol. 22, no. 9, pp. 2935-2952, 2018.

[67] Yu  Xue, Jiongming  Jiang, Tinghuai  Ma, Jingfa  Liu, and Wei Pang, A self-adaptive artificial bee colony algorithm with symmetry initialization, Journal of Internet Technology, vol. 19, no. 5, pp. 1347-1362, 2018.

[68] Yu  Xue, Weiwei  Jia, Xuejian  Zhao, and Wei Pang, An evolutionary computation based feature selection method for intrusion detection, Security and Communication Networks, vol. 2018, pp. 2492956, 2018.

[69] Jiongming  Jiang, Yu  Xue, Tinghuai  Ma, and Zhongyang Chen, Improved artificial bee colony algorithm with differential evolution for the numerical optimisation problems, International Journal of Computational Science and Engineering, vol. 16, no. 1, pp. 73-84, 2018.

[70] Yu  Xue, Jiongming  Jiang, Bing  Xue, and Mengjie Zhang, A classification method based on self-adaptive artificial bee colony, IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1038–1045, 2017.

[71] Yu Xue, Binping Zhao, and Tinghuai Ma, Performance analysis for clustering algorithms, International Journal of Computing Science and Mathematics, vol. 7, no. 5, pp. 485-493, 2016.

[72] Yu  Xue, Binping  Zhao, and Tinghuai Ma, Classification based on fireworks algorithm, Bio-inspired Computing–Theories and Applications (BIC-TA), pp. 35-40, 2016.

[73] Yu  Xue, Tao  Tang, and Tinghuai Ma, Classification based on brain storm optimization algorithm, Bio-inspired Computing–Theories and Applications (BIC-TA), pp. 371-376, 2016.

[74] Yu Xue, Suiming Zhong, Tinghuai Ma, and Jie Cao, A hybrid evolutionary algorithm for numerical optimization problem, Intelligent Automation & Soft Computing, vol. 21, no. 4, pp. 473-490, 2015.

[75] Yu Xue, Yi Zhuang, Tianquan Ni, Siru Ni, and Xuezhi Wen, Self-adaptive learning based discrete differential evolution algorithm for solving CJWTA problem, Journal of Systems Engineering and Electronics, vol. 25, no. 1, pp. 59-68, 2014.

[76] Yu Xue, Shuiming Zhong, Yi Zhuang, and Bin Xu, An ensemble algorithm with self-adaptive learning techniques for high-dimensional numerical optimization, Applied Mathematics and Computation, vol. 231, pp. 329-346, 2014.

[77] Xue Yu, Zhuang Yi, Xu Bin, Zhang Youyi, "Ensemble Evolutionary Algorithm Based on Adaptive Learning Population Search Technology," Systems Engineering Theory and Practice, vol. 34, no. 2, pp. 458-465, 2014.

[78] Xue Yu, Zhuang Yi, Zhu Hao, Zhang Youyi, "Efficient Immune Genetic Algorithm for Solving Cooperative Jamming Problems," Journal of University of Electronic Science and Technology of China, vol. 42, no. 3, pp. 453-458, 2013.

[79] Xue Yu, Zhuang Yi, Zhang Youyi, Ni Siru, and Zhao Xuejian, "Multi-UCAV Cooperative Jamming Air Combat Decision Based on Heuristic Adaptive Discrete Differential Evolution Algorithm," Journal of Aeronautics, vol. 34, no. 2, pp. 343-351, 2013.

[80] Yu Xue, Yi Zhuang, Tianquan Ni, Jian Ouyang, and Zhou Wang, Enhanced self-adaptive evolutionary algorithm for numerical optimization, Journal of Systems Engineering and Electronics, vol. 23, no. 6, pp. 921-928, 2012.

[81] Yu Xue, Yi Zhuang, Tianquan Ni, and Siru Ni, One improved genetic algorithm applied in the problem of dynamic jamming resource scheduling with multi-objective and multi-constraint, IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), pp. 708-712, 2010.

Authorized patents:

[1] Zhu Chenchen, Xue Yu, Multi-objective Evolutionary Neural Architecture Search Method Based on Multi-population Mechanism and Surrogate Model, 2024-6-18, ZL 2024 1 0418128.3

[2] Han Xiaolong, Xue Yu, Tian Qing, Pu Yonglin, Xiang Zhenglong, Wang Xiulai, Neural Architecture Search Method and System Based on Differential Evolution Algorithm, 2024-7-12, ZL 2024 1 0615399.8

[3] Xue Yu, Chen Jingxiang, Ferlante Neri, Tian Qing, Wang Xiulai, Text Video Retrieval Optimization Method Based on Text-to-Image Generation Technology, 2024-8-16, ZL 2024 1 0802106.7

[4] Hu Bohan, Xue Yu, Evolutionary Generative Adversarial Network Architecture Search Method and System Assisted by Surrogate Model, 2024-11-29, ZL 2024 1 1300567.0

[5] Chen Kun, Xue Yu, Attention Mechanism-Based Diffusion Model Architecture Search Method and System, 2024-12-20, ZL 2024 1 1415408.5

[6] Yao Chenhang, Xue Yu, Differentiable Architecture Search-Based YOLO Object Detection Method and System, 2025-1-24, ZL 2024 1 1601484.5

[7] Zhang Xiaolei, Xue Yu, Evolutionary Neural Architecture Search Method and System Assisted by Performance Hierarchy Proxy, 2025-1-28, ZL 2024 1 1379555.1

[8] Xue Yu, Wang Shichao, Wang Tianyu, UAV Communication Networking Method Based on Improved BSO, 2020-6-5, ZL 2020 1 0503524.8

[9] Jiang Jiongming, Xue Yu, Adaptive Clustering Method Based on Improved ABC Algorithm and DE Mutation Strategy, 2018-11-27, ZL 2015 1 0766519.5