曹杰，助理研究员。2016年获华北电力大学（北京）自动化专业工学学士学位，2021年获中国科学院自动化研究所模式识别与智能系统方向工学博士学位。从事计算机视觉、深度生成模型等领域的研究，当前研究集中在多媒体协同的视频图像合成、多维度人脸生成和编辑，已在IEEE TPAMI/TIFS、IJCV和NeurIPS、CVPR、ECCV等国际主流期刊和会议发表论文二十余篇，在NeurIPS、ICLR、ICML等机器学习顶级会议担任审稿人。参与设计的人脸生成算法成功应用于华为、美团等公司的应用系统。现参与了自动化研究所的2035创新任务，现为中国图像图形学学会三维视觉专委员会（CSIG-3DV）委员。

多媒体协同的视频图像合成、多维度人脸生成和编辑

1. Jie Cao, Mandi Luo, Ming-Hsuan Yang, Ran He, “ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
2.  Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, and Zhenan Sun, “Towards High Fidelity Face Frontalization in the Wild”, International Journal of Computer Vision (IJCV), vol. 128, pp. 1485–1504, 2020.
3. Jie Cao, Yibo Hu, Bing Yu, Ran He, and Zhenan Sun, “3D Aided Duet GANs for Multi-View Face Image Synthesis”, IEEE Transactions on Information Forensics and Security (TIFS), vol. 14, no. 8, pp. 2028–2042, 2019.
4. Jie Cao, Yibo Hu, Hongwen Zhang, Ran He, and Zhenan Sun, “Learning a High Fidelity Pose Invariant Model for High-resolution Face Frontalization”, in Advances in Neural Information Processing Systems (NeurIPS), 2018, pp. 2867–2877.
5. Jie Cao, Luanxuan Hou, Ming-Hsuan Yang, Ran He, and Zhenan Sun, “ReMix: Towards Image-to-Image Translation with Limited Data”, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 15 018–15 027.