Nan Li

Nan Li

Lecturer, Shanxi University

Journal Publications

*indicating the corresponding author/#indicating the equal contribution

Authored Book/Chapter

  1. Li Nan, Ma Lianbo, Qian Yuhua, Xue Bing, Zhang Mengjie. Performance Predictor inEvolutionary Neural Architecture Search: Methods and Applications[M]. Singapore:Springer, Hardcover ISBN:978-981-95-9154-1,2026. (The first academic monograph on performance predictors in evolutionary neural architecture search)

English Journal Papers

  1. Li Nan, Bing Xue, Qi Chen, Lianbo Ma, Xingwei Wang, Min Huang, Mengjie Zhang. Evolutionary Zero-Shot Proxy in Various Evaluation Scenarios: A Symbolic Learning Perspective [J]. IEEE Transactions on Evolutionary Computation, 2025.
  2. Mei Aohan, Li Nan, Ma Lianbo, Gao Kaizhou, Huang Min, Xue, Bing, Jin Yaochu. Binary-to-Decimal Encoding-Based Performance Predictor for Evolutionary Graph Fusion Architecture Search and Applications to Medical Data [J]. IEEE Transactions on Evolutionary Computation, 2025.
  3. Li Nan, Ma Lianbo, Yu Guo, Xue Bing, Zhang Mengjie, Jin Yaochu. Survey on evolutionary deep learning: Principles, algorithms, applications, and open issues[J]. ACM Computing Surveys, 2024, 56(2): 1-34. (IF: 28.06, Highly Cited Paper (TOP 1% worldwide) and also Research Frontier Paper (ONLY one per issue))
  4. Li Nan, Xue Bing, Ma Lianbo, Zhang Mengjie. Automatic Fuzzy Architecture Design for Defect Detection via Classifier-assisted Multiobjective Optimization Approach [J]. IEEE Transactions on Evolutionary Computation, 2025.
  5. Ma Lianbo, Li Nan#, Zhu Peican, Tang Keke, Khan Asad, Wang Feng, Yu Guo. A Novel Fuzzy Neural Network Architecture Search Framework for Defect Recognition with Uncertainties [J] IEEE Transactions on Fuzzy Systems, 2024, doi: 10.1109/TFUZZ.2024.3373792 (Highly Cited Paper (TOP 1% worldwide) and also Research Frontier Paper (ONLY one per issue)).
  6. Li Nan, Ma Lianbo, Wang Rui, Cheng Shi, Sun Yanan, Xue Bing, Zhang Mengjie. Listwise Ranking Predictor for Evolutionary Neural Architecture Search [J]. Swarm and Evolutionary Computation, 2025.
  7. Li Nan, Ma Lianbo, Xing Tiejun, Yu Guo, Wang Chen, Wen Yingyou, Cheng Shi, Gao Shangce. Automatic design of machine learning via evolutionary computation: A survey[J]. Applied Soft Computing, 2023: 110412.
  8. Ma Lianbo, Li Nan, Yu Guo, Geng Xiaoyu, Cheng Shi, Wang Xingwei, Huang Min, Jin Yaochu. Pareto-Wise Ranking Classifier for Multi-Objective Evolutionary Neural Architecture Search[J]. IEEE Transactions on Evolutionary Computation, 2023. (ESI Hot Paper (TOP 0.1% worldwide), Highly Cited Paper (TOP 1% worldwide) and also Research Frontier Paper (ONLY one per issue))
  9. Ma Lianbo, Li Nan, Guo Yinan, Wang Xingwei, Yang Shengxiang, Huang Min, Zhang Hao. Learning to Optimize: Reference Vector Reinforcement Learning Adaption to Constrained Many-Objective Optimization of Industrial Copper Burdening System[J]. IEEE Transactions on Cybernetics, 2022, 52(12): 12698-12711. (ESI Hot Paper (TOP 0.1% worldwide), Highly Cited Paper (TOP 1% worldwide) and also Research Frontier Paper (ONLY one per issue))
  10. Cheng Jian, Kang Haidong, Shao Yuxin, Li Nan, Chen Pengjun, Wang Rui, Long Saiqin, Yang Xiaochun, Ma Lianbo. Survey on Efficient Large Language Models: Principles, Algorithms, Applications and Open Issues [J]. IEEE Transactions on Neural Networks and Learning Systems.
  11. Zhang Tian, Ma Lianbo, Cheng Shi, Liu Yikai, Li Nan, Wang Hongjiang. Automatic Prompt Design via Particle Swarm Optimization Driven LLM for Efficient Medical Information Extraction [J]. Swarm and Evolutionary Computation.
  12. Guo Lexiang, Li Nan, Zhang Tian. EEG-based emotion recognition via improved evolutionary convolutional neural network[J]. International Journal of Bio-Inspired Computation, 2024, 23(4): 203-213.

Chinese Journal Papers

  1. 李楠,贺美蕊,马连博.进化深度学习的研究现状与进展[J].信息与控制,2024,53(02):129-153. (入选科技期刊双语传播工程)
  2. 马连博,李楠,程适.进化神经网络原理、模型及方法综述[J].陕西师范大学学报(自然科学版),2021,49(05):30-38+133.DOI:10.15983/j.cnki.jsnu.2021.01.022. (卓越论文奖)