（1）主持项目 [1].重庆市教育委员会重点项目，面向噪声数据的低秩鲁棒子空间理论与方法研究，2022/08/01-2025/07/31，6万元。 [2].重庆市教育委员会青年项目，KJQN201901218，基于惯性神经网络的鲁棒曼哈顿非负矩阵分解研究，2019/08/01-2021/08/01，4万元。 [3].重庆市自然科学基金博士后项目，cstc2019jcyj-bshX0101，基于惯性神经网络的鲁棒截断柯西非负矩阵分解，2020/01/01-2022/12/31，20万元。 [4].博后国际学术交流计划，重庆市人社局，6万，2019/01/01-2019/12/31. [5].博士后资助，重庆市人社局，5万，2019/01/05-2019/01/05. [6].基于惯性神经网络的鲁棒非负矩阵分解研究，重庆三峡学院重大培育项目，6万，2019/11/29-2021/11/29. [7].会议演示系统开发，横向项目，5万，2019/07/01-2019/10/01. [8].专家咨询费系统，横向项目，8.1万，2019/03/01-2020/05/01. [9].网络安全咨询，横向项目，6万，2019/11/01-2020/03/01. （2）科研成果 [1] Dai X, Wang J*, Zhang W. Balanced clustering based on collaborative neurodynamic optimization[J]. Knowledge-Based Systems, 2022, 250: 109026. (中科院一区，IF：8.139). [2] Xiao Y, Zhang W, Dai X*, et al. Robust supervised discrete hashing[J]. Neurocomputing, 2022, 483: 398-410.(SCI，中科院二区，IF：5.779). [3] Dai X*, Zhang K, Li J, et al. Robust semi-supervised non-negative matrix factorization for binary subspace learning[J]. Complex & Intelligent Systems, 2021: 1-8.(中科院二区，IF：6.7). [4] Dai X, Su X*, Zhang W, Xue F, Li H*. Robust Manhattan non-negative matrix factorization for image recovery and representation. Information Sciences. (中科院一区，IF:5.524). [5] Dai X*, Zhang N, Zhang K, et al. Weighted nonnegative matrix factorization for image inpainting and clustering[J]. International Journal of Computational Intelligence Systems, 2020, 13(1): 734-743.(中科院四区，IF:2.259). [6] Dai X, Li C*, Ciang B. Graph sparse nonnegative matrix factorization algorithm based on the inertial projection neural network. Complexity, 2018, 2018. (中科院二区，IF:2.121). [7] Dai X, Li C*, He X, et al. Nonnegative matrix factorization algorithms based on the inertial projection neural network. Neural Computing and Applications, 2019, 31(8): 4215-4229. (中科院二区，IF:5.102). [8] Dai X, Chen G and Li C*. A discriminant graph nonnegative matrix factorization approach to computer vision. Neural Computing and Applications, 2019, 31(11): 7879-7889. (中科院二区，IF:5.102). [9] Dai X, Feng Y. A color image encryption scheme with synchronous permutation-diffusion structure [J]. Italian Journal of Pure and Applied Mathematics, 2019, 44:508-521.(EI期刊). [10] Dai X, Tao Y, Zhang W, et al. Robust non-negative matrix factorization for subspace learning[J]. Italian Journal of Pure and Applied Mathematics, 2020, 44:511-520. (EI期刊). [11] Dai X, Tao Y, Xiong J, et al. Robust sparse coding for subspace learning[J]. Italian Journal of Pure and Applied Mathematics, 2020, 44:986-994. (EI期刊). [12] Dai X, Zhang K, Zhang W, et al. Sparse Coding with Outliers[C]. 2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, 2019: 246-249.(EI期刊). [13] Liu L, Zhang L, Dai X, et al. Nagsc: Nesterov’s accelerated gradient methods for sparse coding[J]. Italian journal of pure and applied mathematics, 2018 (40): 724-735.(EI期刊). [14] Zhang K, Xiong J, Dai X. On the Accelerated Convergence of the Decentralized Event-triggered Algorithm for Convex Optimization[J]. International Journal on Artificial Intelligence Tools, 2021, 30(01): 2140003. (中科院四区，IF:1.059). [15] Xiao Y, Zhang Y, Dai X, et al. Clustering Based on Continuous Hopfield Network[J]. Mathematics, 2022, 10(6): 944.(中科院二区，IF：2.592). [16] Zhang K, Xiong J, Dai X, et al. On the convergence of event-triggered distributed algorithm for economic dispatch problem[J]. International Journal of Electrical Power & Energy Systems, 2020, 122: 106159.(中科院一区，IF：5.659). [17] Liu P, Li H*, Dai X, et al. Distributed primal-dual optimisation method with uncoordinated time-varying step-sizes[J]. International Journal of Systems Science, 2018, 49(6): 1256-1272.(中科院二区，IF：2.648). [18] Yang Y, Xiang C, Dai X, et al. Chimera states and cluster solutions in Hindmarsh-Rose neural networks with state resetting process[J]. Cognitive Neurodynamics, 2022, 16(1): 215-228.(中科院三区，IF：3.473). [19] Zhang M, Dai X, Dai X*, et al. Non-negative Matrix Factorization for Binary Space Learning[C]. 2021 13th International Conference on Advanced Computational Intelligence (ICACI). IEEE, 2021: 215-219.(EI会议). [20] Zhang K, Xiong J*, Dai X. Double-Like Accelerated Distributed optimization Algorithm for Convex optimization Problem[C]. 2020 10th International Conference on Information Science and Technology (ICIST). IEEE, 2020: 13-17.(EI会议). [21] Chen B, Xiong J*, Dai X, et al. A Novel Non-negative Matrix Factorization Algorithm Based on Estimate Sequence Methods[C]. 2019 9th International Conference on Information Science and Technology (ICIST). IEEE, 2019: 45-49.(EI会议). |
