Nan Li

According to our database, Nan Li authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Survey on Efficient Large Language Models: Principles, Algorithms, Applications, and Open Issues.

Jian Cheng, Haidong Kang, Yuxin Shao, Nan Li, Pengjun Chen, Rui Wang, Saiqin Long, Xiaochun Yang, Lianbo Ma

IEEE Trans. Neural Networks Learn. Syst., May, 2026

Automatic Fuzzy Architecture Design for Defect Detection via Classifier-Assisted Multiobjective Optimization Approach.

Nan Li, Bing Xue, Lianbo Ma, Mengjie Zhang

IEEE Trans. Evol. Comput., April, 2026

2025

Automatic prompt design via particle swarm optimization driven LLM for efficient medical information extraction.

Tian Zhang, Lianbo Ma, Shi Cheng, Yikai Liu, Nan Li, Hongjiang Wang

Swarm Evol. Comput., 2025

Listwise ranking predictor for evolutionary neural architecture search.

Nan Li, Lianbo Ma, Rui Wang, Shi Cheng, Yanan Sun, Bing Xue, Mengjie Zhang

Swarm Evol. Comput., 2025

Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS.

Nan Li, Bing Xue, Lianbo Ma, Mengjie Zhang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Pareto-Wise Ranking Classifier for Multiobjective Evolutionary Neural Architecture Search.

Lianbo Ma, Nan Li, Guo Yu, Xiaoyu Geng, Shi Cheng, Xingwei Wang, Min Huang, Yaochu Jin

IEEE Trans. Evol. Comput., June, 2024

A Novel Fuzzy Neural Network Architecture Search Framework for Defect Recognition With Uncertainties.

Lianbo Ma, Nan Li, Peican Zhu, Keke Tang, Asad Khan, Feng Wang, Guo Yu

IEEE Trans. Fuzzy Syst., May, 2024

Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues.

Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin

ACM Comput. Surv., February, 2024

When NAS Meets Anomaly Detection: In Search of Resource-Efficient Architectures in Surveillance Video.

Haidong Kang, Lianbo Ma, Nan Li, Jianlun Ma, Jian Cheng

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Automatic design of machine learning via evolutionary computation: A survey.

Nan Li, Lianbo Ma, TieJun Xing, Guo Yu, Chen Wang, Yingyou Wen, Shi Cheng, Shangce Gao

Appl. Soft Comput., August, 2023

2022

Learning to Optimize: Reference Vector Reinforcement Learning Adaption to Constrained Many-Objective Optimization of Industrial Copper Burdening System.

Lianbo Ma, Nan Li, Yinan Guo, Xingwei Wang, Shengxiang Yang, Min Huang, Hao Zhang

IEEE Trans. Cybern., 2022

2021

How to Simplify Search: Classification-wise Pareto Evolution for One-shot Neural Architecture Search.

Lianbo Ma, Nan Li, Guo Yu, Xiaoyu Geng, Min Huang, Xingwei Wang

CoRR, 2021