| 2023 | AAAI | Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike Camera. | Jing Zhao, Ruiqin Xiong, Jian Zhang, Rui Zhao, Hangfan Liu, Tiejun Huang |
| 2022 | ISCAS | Collaborative Clustering Based on Adaptive Laplace Modeling for Neuroimaging Data Analysis. | Hangfan Liu, Karl Li, Jon B. Toledo, Mohamad Habes |
| 2021 | CVPR | Spk2ImgNet: Learning To Reconstruct Dynamic Scene From Continuous Spike Stream. | Jing Zhao, Ruiqin Xiong, Hangfan Liu, Jian Zhang, Tiejun Huang |
| 2021 | ICASSP | Image Denoising Based on Correlation Adaptive Sparse Modeling. | Hangfan Liu, Jian Zhang, Chong Mou |
| 2021 | MICCAI | Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds. | Hangfan Liu, Tanweer Rashid, Jeffrey B. Ware, Paul Jensen, Thomas Austin, Ilya M. Nasrallah, Robert B. Fisher, Susan R. Heckbert, Mohamad Habes |
| 2020 | ISMAR | TGA: Two-level Group Attention for Assembly State Detection. | Hangfan Liu, Yongzhi Su, Jason R. Rambach, Alain Pagani, Didier Stricker |
| 2019 | MICCAI | Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis. | Hangfan Liu, Hongming Li, Yuemeng Li, Shi Yin, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan |
| 2019 | MICCAI | Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging. | Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Hangfan Liu, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan |
| 2017 | DCC | Wireless Image SoftCast Using Compressive Gradient. | Hangfan Liu, Ruiqin Xiong, Xiaopeng Fan, Siwei Ma, Wen Gao |
| 2017 | VCIP | Compressive gradient based scalable image SoftCast. | Hangfan Liu, Ruiqin Xiong, Xiaopeng Fan, Chong Luo, Wen Gao |
| 2017 | VCIP | Low rank regularization exploiting intra and inter patch correlation for image denoising. | Hangfan Liu, Ruiqin Xiong, Dong Liu, Feng Wu, Wen Gao |
| 2017 | VCIP | Image super-resolution based on adaptive joint distribution modeling. | Hangfan Liu, Ruiqin Xiong, Qiang Song, Feng Wu, Wen Gao |
| 2016 | ICIP | Content-adaptive low rank regularization for image denoising. | Hangfan Liu, Xinfeng Zhang, Ruiqin Xiong |
| 2015 | CVPR | Image denoising via adaptive soft-thresholding based on non-local samples. | Hangfan Liu, Ruiqin Xiong, Jian Zhang, Wen Gao |
| 2014 | DCC | G-CAST: Gradient Based Image SoftCast for Perception-Friendly Wireless Visual Communication. | Ruiqin Xiong, Hangfan Liu, Siwei Ma, Xiaopeng Fan, Feng Wu, Wen Gao |
| 2014 | ISCAS | Non-local extension of total variation regularization for image restoration. | Hangfan Liu, Ruiqin Xiong, Siwei Ma, Xiaopeng Fan, Wen Gao |
| 2014 | VCIP | Gradient based image/video softcast with grouped-patch collaborative reconstruction. | Hangfan Liu, Ruiqin Xiong, Siwei Ma, Xiaopeng Fan, Wen Gao |