基本信息：
姓名：李德维 性别：男 民族：汉 出生年月：1991年4月
籍贯：安徽灵璧 邮箱：ldw@cumtb.edu.cn
个人主页：https://infhighdim.github.io
个人履历：
2023.04至今 十大网投靠谱平台，十大网投靠谱平台
2018.09-2023.04 华为、腾讯 高级工程师/研究员
2015.09-2018.06 中国科学院大学，理学博士
2012.09-2015.06 中国人民大学，理学硕士
2008.09-2012.06 中国人民大学，理学学士
学术研究:
机器学习，最优化，度量学习，对比学习
学术论文：
l 2017-2022
1. Tang J, Li D, Tian Y, Image classification with multi-view multi-instance metric learning, Expert Systems With Applications, 2022, 189, 116117. SCI
2. Ma Y, Zhang Q, Li D, et al. LINEX Support Vector Machine for Large-scale Classification[J]. IEEE Access, 2019, PP(99):1-1. SCI
3. Li D, Tian Y. Survey and Experimental study on Metric learning Methods[J]. Neural Networks, 2018, 105: 447-462. SCI
4. Li D, Tian Y. Improved least squares support vector machine based on metric learning[J]. Neural Computing and Applications, 2018, 30(7): 2205-2215. SCI
5. Tang J, Li D, Tian Y, et al. Multi-view learning based on Nonparallel Support Vector Machine[J]. Knowledge-Based Systems, 2018, 158: 94-108. SCI
6. Liu D, Li D, Shi Y, et al. Large-scale linear nonparallel SVMs[J]. Soft Computing, 2018, 22(6): 1945-1957. SCI
7. Tang J, Tian Y, Liu X, Li D, et. al. Improved multi-view privileged support vector machine[J]. Neural Networks, 106(2018): 96-109, 2018. SCI
8. Li D, Tian Y. Global and local metric learning via eigenvectors[J]. Knowledge-Based Systems, 2017, 116: 152-162. SCI
9. Li D, Xu D, Tang J, et al. Metric learning for multi-instance classification with collapsed bags[C]. Neural Networks (IJCNN), 2017 International Joint Conference on. IEEE, 2017: 372-379.
10. Li D, Tang J, Tian Y, et al. Multi-view deep metric learning for image classification[C]. Image Processing (ICIP), 2017 IEEE International Conference on. IEEE, 2017: 4142-4146.
11. Xu D, Wu J, Li D, et al. SALE: Self-adaptive LSH encoding for multi-instance learning[J]. Pattern Recognition, 2017, 71: 460-482. SCI
l 2016 and before
12. Li D, Tian Y. Twin support vector machine in linear programs[J]. Journal of Computational Science, 2015, 10: 270-277. SCI
13. Li D, Tian Y, Xu H. Deep Twin Support Vector Machine[C]. Data Mining Workshop (ICDMW), 2014 IEEE International Conference on. IEEE, 2014: 65-73.
14. Li D, Zhang W, Xu D, et al. Multi-metrics Classification Machine[J]. Procedia Computer Science, 2016, 91: 556-565.
15. Tang J, Li D. Incorporate Hashing with Multi-view Learning[C]. Data Mining Workshops (ICDMW), 2016 IEEE 16th International Conference on. IEEE, 2016: 853-859.
16. Tang J, Tian Y, Wu G, Li D. Stochastic Gradient Descent for Large Scale Linear Nonparallel SVM. IEEE/WIC/ACM International Conference on Web Intelligence 2017: 980-983.
17. Zhang C, Li D, Tan J. The support vector regression with adaptive norms[J]. Procedia Computer Science, 2013, 18: 1730-1736.
18. Zhang C, Shao X, Li D. Knowledge-based support vector classification based on C-SVC[J]. Procedia Computer Science, 2013, 17: 1083-1090.
