Nan Li

Nan Li

Lecturer, Shanxi University

Conference Publications

*indicating the corresponding author/#indicating the equal contribution

  1. Li Nan, Su Yonghui, Ma Lianbo. Efficient and Generalizable Mixed-Precision Quantization via Topological Entropy [C]. The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025. (CCF-A)
  2. Li Nan, Xue Bing, Ma Lianbo, Zhang Mengjie. Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS [C]. International Joint Conference on Artificial Intelligence, 2025. (CCF-A).
  3. Li Nan, He Meirui, Mei Aohan, Wu Zhicheng, Zhang Tian, Jiao Ruwang. Ranking-aware Predictor-assisted Automatic Architecture Design for Biomedical Image Segmentation [C]. IEEE International Conference on Bioinformatics and Biomedicine, 2025. (CCF-B).
  4. Li Nan, Ma Lianbo, Zhang Tian, He Meirui. Multi-objective Evolutionary Ensemble Learning for Disease Classification[C]//International Conference on Swarm Intelligence. Cham: Springer International Publishing, 2022: 491-500. (EI)
  5. Zhang Tian, Li Nan, Zhou Yuee, Cai Wei, Ma Lianbo. Information extraction of Chinese medical electronic records via evolutionary neural architecture search[C]//2023 IEEE International Conference on Data Mining. IEEE, 2023: 396-405. (CCF-B)
  6. Zhang Tian, Li Nan, Kang Haidong, Liu Jianing, Wang Hongjiang, Ma Lianbo. Neural Architecture Search Based on Brain Storm Optimization Algorithm for Face Detection [C]// International Joint Conference on Neural Networks 2024 (CCF-C)
  7. Mei Aohan, Li Nan, Zhang Tian, Ma Lianbo. Evolutionary Graph Fusion Architecture Search [C]// IEEE Congress on Evolutionary Computation 2025 (CAAI-C)
  8. Zhang Tian, Ma Lianbo, Liu Qunfeng, Li Nan, Liu Yang. Genetic programming for ensemble learning in face recognition[C]// International Conference on Swarm Intelligence. Cham: Springer International Publishing, 2022: 209-218. (EI)
  9. Liu Yang, Xing Tiejun, Zhou Yuee, Li Nan, Ma Lianbo, Wen Yingyou, Liu Chang, Shi Haibo. A Large-Scale Multi-objective Brain Storm Optimization Algorithm Based on Direction Vectors and Variance Analysis[C]//International Conference on Swarm Intelligence. Cham: Springer Nature Switzerland, 2023: 413-424. (EI)
  10. An Xiaojie, Ma Lianbo, Zhou Yuee, Li Nan, Xing Tiejun, Wen Yingyou, Liu Chang, Shi Haibo. Neural Architecture Search Based on Improved Brain Storm Optimization Algorithm[C]//International Conference on Swarm Intelligence. Cham: Springer Nature Switzerland, 2023: 334-344. (EI)
  11. Kang Haidong, Ma Lianbo, Li Nan, Ma Jianlun, Cheng Jian. When NAS Meets Anomaly Detection: In Search of Resource-Efficient Architectures in Surveillance Video [C]// International Joint Conference on Neural Networks 2024 (CCF-C)