近5年十篇代表作（完整列表可查看Google Scholar）
Y. Zhang (研究生),R. Jiao*, B. Xue, et al. Evolutionary streaming feature selection via incremental feature clustering. IEEE Transactions on Evolutionary Computation, 2026, DOI: 10.1109/TEVC.2026.3667279. （中科院一区Top，领域顶刊)
Z. Chen (研究生),Q. Fan, R. Jiao*, et al. Multi-expert genetic programming based ensemble for long-tailed image classification. IEEE Transactions on Evolutionary Computation, 2026, DOI: 10.1109/TEVC.2026.3669207. （中科院一区Top，领域顶刊)
S. Zhai (研究生),R. Jiao*, B. Xue, et al. MILE: Multi-expert ensemble with instance selection for multi-class imbalanced learning. IEEE Transactions on Evolutionary Computation, 2026, DOI: 10.1109/TEVC.2026.3682346. （中科院一区Top，领域顶刊)
R. Jiao, B. Xue, M. Zhang. Learning to preselection: A filter-based performance predictor for multiobjective feature selection in classification. IEEE Transactions on Evolutionary Computation, 2026, 30(1): 31-45. （中科院一区Top，领域顶刊)
R. Jiao, B. Xue, M. Zhang. Simultaneous feature and instance selection via evolutionary auxiliary optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2026, DOI: 10.1109/TSMC.2026.3677086. （中科院一区Top)
R. Jiao, B.H. Nguyen, B. Xue, et al. A survey on evolutionary multiobjective feature selection in classification: Approaches, applications, and challenges. IEEE Transactions on Evolutionary Computation, 2024, 28(4): 1156-1176.（中科院一区Top，领域顶刊）
R. Jiao, B. Xue, M. Zhang. Solving multiobjective feature selection problems in classification via problem reformulation and duplication handling. IEEE Transactions on Evolutionary Computation, 2024, 28(4): 846-860.（中科院一区Top，领域顶刊）
R. Jiao, B. Xue, M. Zhang. Benefiting from single-objective feature selection to multiobjective feature selection: A multiform approach. IEEE Transactions on Cybernetics, 2023, 53(12): 7773-7786. （中科院一区Top，领域顶刊）
R. Jiao, B. Xue, M. Zhang. A multiform optimization framework for constrained multiobjective optimization. IEEE Transactions on Cybernetics, 2023, 53(8): 5165-5177. （中科院一区Top，领域顶刊）
R. Jiao, B. Xue, M. Zhang. Investigating the correlation amongst the objective and constraints in Gaussian process-assisted highly-constrained expensive optimization. IEEE Transactions on Evolutionary Computation, 2022, 26(5): 872-885. （中科院一区Top，领域顶刊）