Li C N, Song Y W, Shao Y H. Domain adaptation via learning using statistical invariant. IEEE Transactions on Knowledge and Data Engineering, 2025, 37(7): 4023 – 4034.
Li C N, Pan Y G, Chen W J, Tsang W. Ivor, Shao Y H. Group feature selection using non-class data. Machine Learning, 2025, 114, 138 (2025).
Song Y W, Shao Y H, Li C N. Distribution metric based V-matrix support vector machine. IEEE Signal Processing Letters, 2025, 32: 1031-1035.
Li C N, Huang L W, Shao Y H, Guo T T, Mao Y. Feature selection by Universum embedding. Pattern Recognition, 2024, 153: 110514.
Huang L W, Shao Y H, Lv X J, Li C N. Large-scale robust regression with truncated loss via majorization-minimization algorithm. European Journal of Operational Research, 2024, 319(2): 494-504.
Li C N, Li Y, Shao Y H. Large-scale structured output classification via multiple structured support vector machine by splitting. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 8(2): 2112 – 2124.
Li C N, Ren P W, Guo Y R, Ye Y F, Shao Y H. Regularized linear discriminant analysis based on generalized capped l2,q-norm. Annals of Operations Research, 2024, 339：1433-1459.
Li C N, Liu J, Meng Y, Shao Y H. Recursive Universum linear discriminant analysis. Optimization Letters, 2024, 18: 05–1419.
Li C N, Shao Y H, Chen W J, Wang Z, Deng N Y. Generalized two-dimensional linear discriminant analysis with regularization. Neural Networks, 2021, 142: 73-91.
Li C N, Shao Y H, Yin W, Liu M Z. Robust and sparse linear discriminant analysis via alternating direction method of multipliers. IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(3): 915-926.
