| 2022 | WACV | Non-Blind Deblurring for Fluorescence: A Deformable Latent Space Approach with Kernel Parameterization. | Ziqiao Guan, Esther H. R. Tsai, Xiaojing Huang, Kevin G. Yager, Hong Qin |
| 2020 | WACV | Multi-Label Visual Feature Learning with Attentional Aggregation. | Ziqiao Guan, Kevin G. Yager, Dantong Yu, Hong Qin |
| 2019 | BMVC | PtychoNet: Fast and High Quality Phase Retrieval for Ptychography. | Ziqiao Guan, Esther H. R. Tsai, Xiaojing Huang, Kevin G. Yager, Hong Qin |
| 2018 | BMVC | Automatic X-ray Scattering Image Annotation via Double-View Fourier-Bessel Convolutional Networks. | Ziqiao Guan, Hong Qin, Kevin G. Yager, Youngwoo Choo, Dantong Yu |
| 2018 | HPDC | In-Operando Tracking and Prediction of Transition in Material System using LSTM. | Pranjal Sahu, Dantong Yu, Kevin G. Yager, Mallesham Dasari, Hong Qin |
| 2017 | WACV | X-Ray Scattering Image Classification Using Deep Learning. | Boyu Wang, Kevin G. Yager, Dantong Yu, Minh Hoai |
| 2014 | SAC | Diffusion-based clustering analysis of coherent X-ray scattering patterns of self-assembled nanoparticles. | Hao Huang, Shinjae Yoo, Konstantine Kaznatcheev, Kevin G. Yager, Fang Lu, Dantong Yu, Oleg Gang, Andrei Fluerasu, Hong Qin |
| 2014 | WACV | Materials discovery: Fine-grained classification of X-ray scattering images. | M. Hadi Kiapour, Kevin G. Yager, Alexander C. Berg, Tamara L. Berg |