求真百科歡迎當事人提供第一手真實資料,洗刷冤屈,終結網路霸凌。

丁立中檢視原始碼討論檢視歷史

事實揭露 揭密真相
前往: 導覽、 搜尋
丁立中
北京理工大學

丁立中,男, 北京理工大學教授。

科研方向

隨機機器學習理論與方法,統計學習方法和理論,統計假設檢驗與深度生成模型,核方法與深度核方法

學術成果

1.Lizhong Ding, Shizhong Liao, Yong Liu, Li Liu, Fan Zhu, Yazhou Yao, Ling Shao, Xin Gao. Approximate Kernel Selection via Matrix Approximation, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020, 31(11): 4881-4891.

2.Lizhong Ding, Mengyang Yu, Li Liu, Fan Zhu, Yong Liu, Yu Li, Ling Shao. Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test, Proceedings of the 33rd Annual Conference on Neural Information Processing Systems (NeurIPS), 2019.

3.Yong Liu, Shizhong Liao, Shali Jiang, Lizhong Ding, Hailun Lin, and Weiping Wang. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019, 42(53):1083-1096.

4.Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao. Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data, Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019.

5.Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, and Xin Gao. Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), pp. 3462-3469, 2019.

6.Yazhou Yao, Zeren Sun, Fumin Shen, Li Liu, Limin Wang, Fan Zhu, Lizhong Ding, Gangshan Wu, and Ling Shao. Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), pp. 996-1002, 2019.

7.Yu Li, Chao Huang, Lizhong Ding, Zhongxiao Li, Yijie Pan, and Xin Gao. Methods, vol. 166, pp. 4-21, 2019.

8.Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao. Randomized Kernel Selection with Spectra of Multilevel Circulant Matrices, Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018.

9.Li Jian, Yong Liu, Rong Yin, Hua Zhang, Lizhong Ding, and Weiping Wang. Advances in Neural Information Processing Systems (NeurIPS), pp. 1591-1600, 2018.

10.Liu Yong, Hailun Lin, Lizhong Ding, Weiping Wang. Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), pp. 2497-2503, 2018.

11.Lizhong Ding, Shizhong Liao. An Approximate Approach to Automatic Kernel Selection, IEEE Transactions on Cybernetics (TCYB), 2017, 3(47): 554-565.

12.Lizhong Ding, Shizhong Liao. Approximate consistency: Towards foundations of approximate kernel selection. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML PKDD), 354--369, 2014

13.Lizhong Ding, Shizhong Liao. Model selection with the covering number of the ball of RKHS. Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM), 1159--1168, 2014.

科研情況

基於區塊鏈的社會治理與風險防控技術及應用,工業和信息化部,國家重點研發計劃,2022年11月 - 2025年10月,課題負責人

機器學習的公平性度量、分析及設計技術研究,科技部,聯合基金項目-重點支持項目-區域創新發展聯合基金,2023年01月 - 2026年12月,課題負責人[1]

參考資料