李梦柯

特聘副研究员

学习&工作经历：

2022.12-至今 人工智能与数字经济广东省实验室（深圳） 特聘副研究员（城市三维创新团队）

2018.11-2022.11 香港浸会大学 博士

2015.09-2018.06 西安电子科技大学 硕士

2011.09-2015.06 西南大学 学士

邮箱：limengke@gml.ac.cn

研究领域：长尾学习，不平衡学习，分布外泛化，模式识别，人工智能

荣誉头衔：

2021-2022香港研究生论文竞赛冠军；
2021-2022香港浸会大学优秀研究生表现奖。

发表论文论著：

[1]Li Mengke, Cheung Yiu-ming, & Hu Zhikai. Key point sensitive loss for long-tailed visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022, 1-14. (CCF-A, JCR-Q1 TOP)

[2]Li Mengke, Cheung Yiu-ming, & Lu Yang. Long-tailed visual recognition via Gaussian clouded logit adjustment[C]. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR), 2022, pp. 6929-6938. (CCF-A)

[3]Li Mengke, Cheung Yiu-ming, & Jiang Juyong. Feature-balanced loss for long-tailed visual recognition[C]. In Proceedings of the IEEE international conference on multimedia and expo (ICME), oral, 2022. (CCF-B)

[4]Li Mengke, & Cheung Yiu-ming. Identity-preserved complete face recovering network for partial face image[J]. IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2021, pp, 1-6. (JCR-Q2)

[5]Jin Yan, Li Mengke, Lu Yang, Cheung Yiu-ming & Wang Hanzi, Long-tailed visual recognition via self-heterogeneous integration with knowledge excavation[C], In Proceedings of the IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023, in press. (CCF-A)

[6]Cheung Yiu-ming, Li Mengke, & Zou, Rong. Facial structure guided GAN for identity-preserved face image de-occlusion[C]. In Proceedings of the international conference on multimedia retrieval (ICMR), oral, 2021, pp. 46-54. (First student author, CCF-B)

[7]Pang Meng, Cheung Yiu-ming, Shi Qiquan, & Li Mengke. Iterative dynamic generic learning for face recognition from a contaminated single-sample per person[J]. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 32(4), 2021, pp. 1560-1574. (CCF-B, JCR-Q1 TOP)

[8]Pang Meng, Cheung Yiu-ming, Shi Qiquan, & Li Mengke, Iterative dynamic generic learning for single sample face recognition with a contaminated gallery[C]. In Proceedings of the IEEE international conference on multimedia and expo (ICME), 2020. (CCF-B)

[9]Li Mengke, Li Ming, Zhang Peng, Wu Yan, Song Wanying, & An Lin. SAR image change detection using pcanet guided by saliency detection[J]. IEEE Geoscience and Remote Sensing Letters (GRSL), 16(3), 2018, pp. 402-406. (CCF-C, JCR-Q2)

申请专利：

[1]李明, 李梦柯, 吴艳, 张鹏, 刘慧敏, & 柴磊，一种无监督SAR图像变化检测方法，2018，201810549675X， 2020，CN108765465B. （已授权中国发明专利）

[2]李明, 刘慧敏, 张鹏, 李梦柯, 吴艳, & 吴娇娇. 基于显著性分析的 PCANet 图像变化检测方法，2017，2017114033964，2019，CN108257151B. （已授权中国发明专利）