主要研究论文
1.Wei Fang,Zhenghuan Zhang, Shuwei Zhu, Jun Sun, Xiaojun Wu, Kalyanmoy Deb, Carlos A Coello Coello,SDNAS: Neural Architecture Search for Self-Supervised Single-Image Denoising Using Genetic Algorithm with Modular Encoding,IEEE Transactions on Evolutionary Computation, 2026
2.Nan Zheng, Yongchao Cai, Zehua Zhang, Huimin Zhou, Yu Deng, Shuang Du, Mai Tu,Wei Fang, Xiaole Xia, Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy,Nature Communications, 2025, 16, 604.
3.Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang,Wei Fang, Xiaojun Wu, Abdulmotaleb El Saddik, Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 46(1): 543-560.
4.Xiaotong Li,Wei Fang*, Shuwei Zhu, Xin Zhang, An adaptive binary quantum-behaved particle swarm optimization algorithm for the multidimensional knapsack problem, Swarm and Evolutionary Computation, 2024, 101494.
5.Wei Fang, Haipeng Jiang, Hengyang Lu, Xin Zhang, Jun Sun, Xiaojun Wu, Jerry Chun-Wei Lin. GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets. IEEE Transactions on Knowledge and Data Engineering. 2024, 36(2): 652-667.
6.Wei Fang,Zhenhao Zhu, Shuwei Zhu, Jun Sun, Xiaojun Wu, Zhichao Lu. LoNAS: Low-Cost Neural Architecture Search Using a Three-Stage Evolutionary Algorithm. IEEE Computational Intelligence Magazine, 2023,18(2): 78-93.
7.Yue Jia,Wei Fang*, Heng-Yang Lu, Think More Ambiguity Less: A Novel Dual Interactive Model with Local and Global Semantics for Chinese NER, ACM Transactions on Asian and Low-Resource Language Information Processing, 2023, 22(6): 1-21.
8.Kefei Yan,Wei Fang*, Hengyang Lu, Xin Zhang, Jun Sun, Xiaojun Wu, Mutual Information-Guided GA for Bayesian Network Structure Learning. IEEE Transactions on Knowledge and Data Engineering. 2023, 35(8): 8282-8299.
9.Wei Fang, Chao Xi, Land-Cover Change Detection for SAR Images Based on Biobjective Fuzzy Local Information Clustering Method With Decomposition [J], IEEE Geoscience and Remote Sensing Letters, 2022, 19, 1-5.
10.Wei Fang, Qiang Zhang, Jun Sun and Xiaojun Wu, Mining High Quality Patterns Using Multi-Objective Evolutionary Algorithm, IEEE Transactions on Knowledge and Data Engineering, 2022,34(8): 3883-3898.
11.WeiFang, Lingzhi Zhang, Shengxiang Yang, Jun Sun, Xiaojun Wu. A Multiobjective Evolutionary Algorithm Based on Coordinate Transformation [J]. IEEE Transactions on Cybernetics. 2019, 49(6):2732 - 2743.
