I am an Applied Scientist at AWS AI Labs. I received my PhD at University of Maryland, College Park in 2020, advised by Professor Rama Chellappa. I received my Master degree from Shanghai Jiaotong University and Bachelor degree from Dalian University of Technology. I worked at Waymo, Adobe Research, PARC, and Siemens Healthineers during my PhD.
I work on vision-language sequence modeling and text-to-image generation with diffusion models.
2020.06 – Present: Applied Scientist
————————— Graduated ————————
2018.06 – 2018.08: Software Engineer Intern
2016.05 – 2016.08: Research Intern
Jiang Liu*, Hui Ding*, Zhaowei Cai, Yuting Zhang, Ravi Kumar Satzoda, Vijay Mahadevan, R. Manmatha, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. (* Equal Contribution)
Learning Self-Consistency for Deepfake Detection
Tianchen Zhao, Xiang Xu, Mingze Xu, Hui Ding, Yuanjun Xiong, and Wei Xia
International Conference on Computer Vision (ICCV), 2021. (Oral)
ExprGAN: Facial Expression Editing with Controllable Expression Intensity
Hui Ding, Kumar Sricharan and Rama Chellappa
Association for the Advancement of Artificial Intelligence (AAAI), 2018. (Oral)
A Deep Cascade Network for Unaligned Face Attribute Classification
Hui Ding, Hao Zhou, Shaohua Kevin Zhou and Rama Chellappa
Association for the Advancement of Artificial Intelligence (AAAI), 2018. (Spotlight)
Hui Ding, Chen He, and Lingge Jiang, “Performance Analysis of Fixed Gain MIMO Relay Systems in the Presence of Co-Channel Interference”, IEEE Commun. Lett., vol. 16, no. 7, pp. 1133-1136, Jul. 2012.
Hui Ding, Chen He, and Lingge Jiang, “Performance of Multi-antenna Systems with Fixed Gain AF Relay in the Presence of Co-Channel Interference”, 2012 IEEE International Conference on Communications (ICC), pp. 5538-6642.
- Journal Reviewer: TPAMI, IJCV, TIP, TMM
- Conference Reviewer: CVPR, ICCV, ECCV