Yanan Sun

Yanan Sun

Professor, Sichuan University

Journal and Book/Chapter Publications

*indicating the corresponding author

Authored Book/Chapter

  1. Yanan Sun, Gary G. Yen, Mengjie Zhang, “Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances” Springer, Hardcover ISBN: 978-3-031-16867-3, Published: 09 November 2022. DOI:https://doi.org/10.1007/978-3-031-16868-0 (XVI + 331 pages, the first book on evolutionary neural architecture search) Buy from Amazon
  2. Zeqiong Lv, Xiaotian Song, Yuqi Feng, Yuwei Ou, Yanan Sun*, Mengjie Zhang. “Evolutionary Neural Network Architecture Search”. In Handbook of Evolutionary Machine Learning, pp. 247-281, 2023. Singapore: Springer Nature Singapore. [http]

Journal Papers

  1. Xiaotian Song, Xiangning Xie, Zeqiong Lv, Weiping Ding, Jiancheng Lv, Yanan Sun, “Efficient Evaluation Methods for Neural Architecture Search: A Survey,” IEEE Transactions on Artificial Intelligence, 2024, DOI:10.1109/TAI.2024.3477457
  2. Zhanao Huang, Yongsheng Sang, Yanan Sun, Jiancheng Lv, “Neural networks learn specified information for imbalanced data classification,” IEEE Transactions on Knowledge and Data Engineering, 2024, DOI:10.1109/TKDE.2024.3392953. [http]
  3. Yuqi Feng, Zeqiong lv, Hongyang Chen, Shangce Gao, Fengping An, Yanan Sun*, “LRNAS: Differentiable searching for adversarially robust lightweight neural architecture”, IEEE Transactions on Neural Networks and Learning Systems, 2024, DOI:10.1109/TNNLS.2024.3382724. [http] source code
  4. Shuchao Deng, Xiaotian Song, Minxiao Zhong, Qing Li, Yanan Sun*, Jiancheng lV, “A dynamic balanced physics-informed neural network for solving partial differential equations,” SCIENCE CHINA Information Sciences, 2024, DOI:10.1360/SSI-2023-0195. (In Chinese) [http] source code
  5. Yu Zhang, Pengxing Cai, Yanan Sun, Zhiming Zhang, Zhenyu Lei, Shangce Gao, “A lightweight multi-dendritic pyramidal neuron model with neural plasticity on image recognition,” IEEE Transactions on Artificial Intelligence, 2024, DOI:10.1109/TAI.2024.3379968. [http]
  6. Zeqiong Lv, Chao Qian, Gary Yen, Yanan Sun*, “Analyzing the expected hitting time of evolutionary computation-based neural architecture search algorithms,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, DOI:10.1109/TETCI.2024.3377683. [http]
  7. Yun Liu, Fangfang Zhang, Yanan Sun*, Mengjie Zhang, “Evolutionary trainer-based deep Q-network for dynamic flexible job shop scheduling,” IEEE Transactions on Evolutionary Computation, 2024, DOI:10.1109/TEVC.2024.3367181. [http] source code
  8. Hanyuan Huang, Tao Li, Beibei Li, Wenhao Wang, Yanan Sun, “A bidirectional differential evolution based unknown cyberattack detection system,” IEEE Transactions on Evolutionary Computation, 2024, DOI:10.1109/TEVC.2024.3365101. [http]
  9. Zeqiong Lv, Chao Qian, Yanan Sun*, “Benchmarking analysis of evolutionary neural architecture search,” IEEE Transactions on Evolutionary Computation, 2023, DOI:10.1109/TEVC.2023.3324852. [http]
  10. Rui Zhang, Yanan Sun*, Mengjie Zhang, “GPU based genetic programming for faster feature extraction in binary image classification,” IEEE Transactions on Evolutionary Computation, 2023, DOI:10.1109/TEVC.2023.3294639. [http] source code
  11. Shuchao Deng, Zeqiong Lv, Edgar Galván, Yanan Sun*, “Evolutionary neural architecture search for facial expression recognition,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 7, no. 5, pp. 1405-1419, 2023, DOI:10.1109/TETCI.2023.3289974. [http] source code
  12. Junhao Huang, Bing Xue, Yanan Sun*, Mengjie Zhang, Gary Yen, “Split-level evolutionary neural architecture search with elite weight inheritance,” IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 10, pp. 13523-13537, 2024, DOI:10.1109/TNNLS.2023.3269816. [http] source code
  13. Xiangning Xie, Yanan Sun*, Yuqiao Liu, Mengjie Zhang, Kay Chen Tan, “Architecture augmentation for performance predictor via graph isomorphism,” IEEE Transactions on Cybernetics, vol. 54, no. 3, pp. 1828-1840, 2024, DOI:10.1109/TCYB.2023.3267109. [http] Source code
  14. Zhanao Huang, Yongsheng Sang, Yanan Sun, Jiancheng Lv, “Neural network with a preference sampling paradigm for imbalanced data classification,” IEEE Transactions on Neural Networks and Learning Systems, 2022, DOI:10.1109/TNNLS.2022.3231917. [http]
  15. Junhao Huang, Bing Xue, Yanan Sun*, Mengjie Zhang, Gary Yen, “Particle swarm optimization for compact neural architecture search for image classification,” IEEE Transactions on Evolutionary Computation, vol. 27, no. 5, pp. 1298-1312, 2023, DOI:10.1109/TEVC.2022.3217290. [http] Source code
  16. Qing Ye, Yuhao Zhou, Mingjia Shi, Yanan Sun, Jiancheng Lv, “DLB: A dynamic load balance strategy for distributed training of deep neural networks,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 7, no. 4, pp. 1217-1227, 2023, DOI:10.1109/TETCI.2022.3220224. [http] Source code
  17. Zhanao Huang, Yongsheng Sang, Yanan Sun, Jiancheng Lv, “A neural network learning algorithm for highly imbalanced data classification,” Information Sciences, vol. 612, pp. 496-513, 2022, DOI:10.1016/j.ins.2022.08.074. [http] Source code
  18. Xiangning Xie, Yuqiao Liu, Yanan Sun*, Gary G. Yen, Bing Xue, Mengjie Zhang, “BenchENAS: A benchmarking platform for evolutionary neural architecture search,” IEEE Transactions on Evolutionary Computation, vol. 26, no. 6, pp. 1473-1485, 2022, DOI:10.1109/TEVC.2022.3147526. [http] Source code
  19. Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang, Jiancheng Lv, “ArcText: A unified text approach to describing convolutional neural network architectures,” IEEE Transactions on Artificial Intelligence, vol. 3, no. 4, pp. 526-540, 2022, DOI:10.1109/TAI.2021.3128502. [http] Source code  Research Frontier Paper (ONLY one per issue)
  20. Siyi Li, Yanan Sun*, Gary G. Yen, Mengjie Zhang, “Automatic design of convolutional neural network architectures under resource constraints”, IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 8, pp. 3832-3846, 2023. DOI:10.1109/TNNLS.2021.3123105. [http] Source code
  21. Yunhong Gong, Yanan Sun*, Dezhong Peng, Peng Chen, Zhongtai Yan, Ke Yang, “Analyze COVID-19 CT images based on evolutionary algorithm with dynamic searching space”, Complex & Intelligent Systems, vol. 7. pp. 3195-3209, 2021. DOI:10.1007/s40747-021-00513-8. [http] Source code
  22. Yuqiao Liu, Yanan Sun*, Bing Xue, Mengjie Zhang, Gary Yen, Kay Chen Tan, “A survey on evolutionary neural architecture search,” IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 2, pp. 550-570, 2023. DOI:10.1109/TNNLS.2021.3100554. [http]  Highly Cited Paper (TOP 1% worldwide) and also  Research Frontier Paper (ONLY one per issue)
  23. Yanan Sun, Xian Sun, Yuhan Fang, Gary G. Yen, Yuqiao Liu, “A novel training protocol for performance predictors of evolutionary neural architecture search algorithms,” IEEE Transactions on Evolutionary Computation, vol. 25, no. 3, pp. 524-536, 2021. DOI:10.1109/TEVC.2021.3055076. [http] Experimental Data
  24. Yao Chen, Yanan Sun*, Jiancheng Lv, Bijue Jia, Xiaoming Huang, “End-to-end heart sound segmentation using deep convolutional recurrent network,” Complex & Intelligent Systems, vol. 7, pp. 2103–2117, 2021. DOI:10.1007/s40747-021-00325-w. [http] Source code
  25. Xiangru Chen, Yanan Sun*, Mengjie Zhang, Dezhong Peng, “Evolving deep convolutional variational autoencoders for image classification,” IEEE Transactions on Evolutionary Computation, vol. 25, no. 5, pp. 815-829, 2021. DOI:10.1109/TEVC.2020.3047220. [http] Source code
  26. Qing Ye, Yanan Sun*, Jixin Zhang, Jiancheng Lv*, “A distributed framework for EA-based NAS,” IEEE Transactions on Parallel and Distributed Systems, vol. 32, no. 7, pp. 1753-1764, 2021. DOI:10.1109/TPDS.2020.3046774. [http] Source code
  27. Yao Chen, Jiancheng Lv, Yanan Sun, Bijue Jia, “Heart sound segmentation via duration long–short term memory neural network,” Applied Soft Computing, vol. 95, pp. 106540, 2020. DOI:10.1016/j.asoc.2020.106540. [http] Source code
  28. Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Jiancheng Lv, “Automatically designing CNN architectures using genetic algorithm for image classification,” IEEE Transactions on Cybernetics, vol. 50, no. 9, pp. 3840-3854, 2020. DOI:10.1109/TCYB.2020.2983860. [http] Source code ESI Hot Paper (TOP 0.1% worldwide) and also Highly Cited Paper (TOP 1% worldwide)
  29. Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, “Completely automated CNN architecture design based on blocks,” IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 4, pp. 1242-1254, 2020. DOI: 10.1109/TNNLS.2019.2919608. [http] Source code Highly Cited Paper (TOP 1% worldwide) and also  Research Frontier Paper (ONLY one per issue)
  30. Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, “Evolving deep convolutional neural networks for image classification,” IEEE Transactions on Evolutionary Computation, vol. 24, no. 2, pp. 394-407, 2020. DOI: 10.1109/TEVC.2019.2916183. [http] Source code Highly Cited Paper (TOP 1% worldwide) and also  ESI Hot Paper (TOP 0.1% worldwide) and also  Research Frontier Paper (ONLY one per issue)
  31. Yanan Sun, Handing Wang, Bing Xue, Yaochu Jin, Gary G. Yen, Mengjie Zhang, “Surrogate-assisted evolutionary deep learning using an end-to-end random forest-based performance predictor,” IEEE Transactions on Evolutionary Computation, vol. 24, no. 2, pp. 350-364, 2020. DOI:10.1109/TEVC.2019.2924461. [http] Source code
  32. Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, “A new two-stage evolutionary algorithm for many-objective optimization,” IEEE Transactions on Evolutionary Computation, vol. 23, no. 5, pp. 748-761, 2019. DOI: 10.1109/TEVC.2018.2882166. [http] The source code has been integrated into the PlatEMO.
  33. Harith Al-Sahaf, Ying Bi, Qi Chen, Yi Mei, Yanan Sun, Binh Tran, Bing Xue, Mengjie Zhang (Alphabetical Order), “A survey on evolutionary machine learning,”Journal of the Royal Society of New Zealand, vol. 49, no. 2, pp. 205-228, 2019. DOI: 10.1080/03036758.2019.1609052. [http]
  34. Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, “A particle swarm optimization-based flexible convolutional auto-encoder for image classification,” IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 8, pp. 2295-2309, 2019. DOI: 10.1109/TNNLS.2018.2881143. [http] Source code
  35. Yanan Sun, Gary G. Yen, Zhang Yi, “IGD indicator-based evolutionary algorithm for many-objective optimization problems,” IEEE Transactions on Evolutionary Computation, vol. 23, no. 2, pp.173-187, 2019. DOI: 10.1109/TEVC.2018.2791283. [http] The source code has been integrated into the PlatEMO. Highly Cited Paper (TOP 1% worldwide) and also ESI Hot Paper (TOP 0.1% worldwide)
  36. Yanan Sun, Gary G. Yen, Zhang Yi, “Evolving unsupervised deep neural networks for learning meaningful representations,” IEEE Transactions on Evolutionary Computation, vol. 23, no. 1, pp. 89-103, 2019. DOI: 10.1109/TEVC.2018.2808689. [http] Source code
  37. Yanan Sun, Gary G. Yen, Zhang Yi, “Improved regularity model-based EDA for many-objective optimization,” IEEE Transactions on Evolutionary Computation, vol. 22, no. 5, pp. 662-678, 2018. DOI: 10.1109/TEVC.2018.2794319. [http]
  38. Yanan Sun, Gary G. Yen, Zhang Yi, “Reference line-based estimation of distribution algorithm for many-objective optimization,” Knowledge-Based Systems, vol. 132, pp. 129-143, 2017. DOI: 10.1016/J.KNOSYS.2017.06.021. [http]
  39. Yanan Sun, Hua Mao, Yongsheng Sang, Zhang Yi, “Explicit guiding auto-encoders for learning meaningful representation,” Neural Computing and Applications, vol. 28, no. 3, pp. 429-436, 2017. DOI: 10.1007/S00521-015-2082-X. [http]
  40. Yanan Sun, Hua Mao, Quan Guo, Zhang Yi, “Learning a good representation with unsymmetrical auto-encoder,” Neural Computing and Applications, vol. 27, no. 5, pp. 1361-1367, 2016. DOI: 10.1007/S00521-015-1939-3. [http]