教育背景
2013.09 - 2018.06 中国科学院自动化研究所 工学博士
2009.09 - 2013.06 大连理工大学 工学学士
工作经历
2018.07 - 2020.01 中国科学院自动化研究所智能系统与工程研究中心 助理研究员
2020.01 - 现在 中国科学院自动化研究所智能系统与工程研究中心 副研究员
奖励
[1] MS-Celeb-1M: Challenge of Recognizing One Million Celebrities in the Real World @ACM Multimedia 2016,微软百万名人识别竞赛,冠军。
研究成果
学术论文
[1] Enmin Zhao, Yifan Zang, Yongxin Kang, Kai Li and Junliang Xing. Potential Driven Reinforcement Learning for Hard Exploration Tasks. International Joint Conference on Artificial Intelligence, 2020.
[2] Kai Li, Junliang Xing, Weiming Hu, and Stephen J Maybank. D2C: Deep cumulatively and comparatively learning for human age estimation. Pattern Recognition, vol. 66, pp. 95-105, 2017.
[3] Junliang Xing, Kai Li, Weiming Hu, Chunfeng Yuan, and Haibin Ling. Diagnosing Deep Learning Models for High Accuracy Age Estimation from A Single Image. Pattern Recognition, vol. 66, pp. 95-105, 2017.
[4] Kai Li, Junliang Xing, Chi Su, Weiming Hu, Yundong Zhang, and Stephen Maybank. Deep cost-sensitive and order-preserving feature learning for cross-population age estimation. IEEE Conference on Computer Vision and Pattern Recognition, pp. 399-408, 2018.
[5] Kai Li, Houwen Peng, Bing Li, Haibin Ling, Weihua Xiong, and Weiming Hu. Predicting image memorability by multi-view adaptive regression. ACM International Conference on Multimedia, pp. 1147-1150, 2015.
[6] Kai Li, Junliang Xing, Bing Li, and Weiming Hu. Bootstrapping deep feature hierarchy for pornographic image recognition. IEEE International Conference on Image Processing, pp. 4423-4427, 2016.
[7] Cheng Cheng, Junliang Xing, Youji Feng, Pengcheng Liu, Xiaohu Shao, Kai Li, and Xiangdong Zhou. Weakly Supervised Multiscale-Inception Learning for Web-Scale Face Recognition. IEEE International Conference on Image Processing, 2017.
[8] Zhipeng Ji, Congyan Lang, Kai Li and Junliang Xing. Deep Age Estimation Model Stabilization from Images to Videos. International Conference on Pattern Recognition, 2018.
[9] Jiangtao Kong, Rongchao Xu, Junliang Xing, Kai Li, and Wei Ma. Spatial Temporal Attentional Glimpse for Human Activity Classification in Video. IEEE International Conference on Image Processing, 2019.
指导学生:
协助课题负责人指导多名研究生:
赵恩民,张蒙,吴哲,徐航,臧一凡,康永欣