| KNN Classification with One-step Computation S Zhang, J Li S. Zhang and J. Li, "KNN Classification with One-step Computation," in IEEE …, 2020 | 90 | 2020 |
| Spectral clustering via half-quadratic optimization X Zhu, J Gan, G Lu, J Li, S Zhang World Wide Web 23, 1969-1988, 2020 | 80 | 2020 |
| Reachable distance function for KNN classification S Zhang, J Li, Y Li IEEE Transactions on Knowledge and Data Engineering 35 (7), 7382-7396, 2022 | 65 | 2022 |
| Quantum KNN classification with K Value selection and neighbor selection J Li, J Zhang, J Zhang, S Zhang IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023 | 28 | 2023 |
| Exclusive feature selection and multi-view learning for Alzheimer’s disease J Li, L Wu, G Wen, Z Li Journal of Visual Communication and Image Representation 64, 102605, 2019 | 18 | 2019 |
| Unsupervised nonlinear feature selection algorithm via kernel function J Li, S Zhang, L Zhang, C Lei, J Zhang Neural Computing and Applications 32, 6443-6454, 2020 | 17 | 2020 |
| Quantum support vector machine for classifying noisy data J Li, Y Li, J Song, J Zhang, S Zhang IEEE Transactions on Computers, 2024 | 15 | 2024 |
| Sparse nonlinear feature selection algorithm via local structure learning J Li, G Wen, J Gan, L Zhang, S Zhang Emerging Science Journal 3 (2), 115-129, 2019 | 9 | 2019 |
| Robust SVM for cost-sensitive learning J Gan, J Li, Y Xie Neural Processing Letters, 1-22, 2022 | 7 | 2022 |
| Sparse learning based on clustering by fast search and find of density peaks P Li, X Deng, L Zhang, J Gan, J Li, Y Li Multimedia Tools and Applications 78, 33261-33277, 2019 | 7 | 2019 |
| Anti-Noise Muiti-View Feature Selection With Sample Constraints J Li, H Xu, H Yu, W Li, S Zhang 2023 IEEE International Conference on Data Mining (ICDM), 259-268, 2023 | 4 | 2023 |
| Multi-view unsupervised feature selection with dynamic sample space structure L Zhang, M Liu, R Wang, T Du, J Li 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2641-2648, 2019 | 4 | 2019 |
| A nonlinear clustering algorithm via kernel function and locality structure learning L Chen, G Lu, G Wen, J Li, M Tan 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2603-2607, 2019 | 3 | 2019 |
| Double weighted K-nearest voting for label aggregation in crowdsourcing learning J Li, H Yu, L Zhang, G Wen Multimedia Tools and Applications 78, 33357-33374, 2019 | 2 | 2019 |
| Nonlinear sparse feature selection algorithm via low matrix rank constraint L Zhang, Y Li, J Zhang, P Li, J Li Multimedia Tools and Applications 78, 33319-33337, 2019 | 2 | 2019 |
| Quantum nearest neighbor collaborative filtering algorithm for recommendation system J Li, J Shi, J Zhang, Y Lu, Q Li, C Yu, S Zhang ACM Transactions on Knowledge Discovery from Data 18 (8), 1-28, 2024 | 1 | 2024 |
| Local structure preservation for nonlinear clustering L Chen, G Lu, Y Li, J Li, M Tan Neural Processing Letters 52, 1811-1826, 2020 | 1 | 2020 |
| 基于 K 近邻的众包数据分类算法. 李佳烨， 余浩 Application Research of Computers/Jisuanji Yingyong Yanjiu 37 (4), 2020 | 1 | 2020 |
| An Efficient Feature Selection Algorithm Based on Kernel Function S Zhang, M Liu, J Li, L Zhang 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2649-2655, 2019 | 1 | 2019 |
| Robust Quantum Feature Selection With Sparse Optimization Circuit J Li, J Song, J Shi, H Xu, H Yu, G Chen, S Zhang IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2025 | | 2025 |