BE-SIFT: A More Brief and Efficient SIFT Image Matching Algorithm for Computer Vision. - Jian Zhao 006; Hengzhu Liu; Yiliu Feng; Shandong Yuan; Wanzeng Cai (CIT/IUCC/DASC/PICom, 2015)

Object proposal method based on integration of geometrical features. - Wanzeng Cai; Yiliu Feng; Xiaolong Liu; Yafei Liu (CISP-BMEI, 2016)

A Coarse to Fine Object Proposal Framework for Autonomous Driving Object Detection Using Binocular Image. - Xiaolong Liu; Wanzeng Cai; Zhengfa Liang; Yiliu Feng (GRMSE (2), 2016)

A Novel Low-Power and High-PSNR Architecture Based on ARC for DCT/IDCT. - Yiliu Feng; Jianfeng Zhang; Hengzhu Liu (NCCET, 2016)

Efficient deep learning for stereo matching with larger image patches. - Yiliu Feng; Zhengfa Liang; Hengzhu Liu (CISP-BMEI, 2017)

Learning Generic Features from DEH Channels for Object Proposals Generation. - Yiliu Feng; Zhengfa Liang; Hengzhu Liu (SMARTCOMP, 2017)

Learning Deep Correspondence through Prior and Posterior Feature Constancy. - Zhengfa Liang; Yiliu Feng; Yulan Guo; Hengzhu Liu; Linbo Qiao; Wei Chen 009; Li Zhou 009; Jianfeng Zhang (CoRR, 2017)

Improved Object Proposals with Geometrical Features for Autonomous Driving. - Yiliu Feng; Wanzeng Cai; Xiaolong Liu; Huini Fu; Yafei Liu; Hengzhu Liu (Mob. Inf. Syst., 2017)

Hybrid Attentive Answer Selection in CQA With Deep Users Modelling. - Jiahui Wen; Jingwei Ma; Yiliu Feng; Mingyang Zhong (AAAI, 2018)

Learning for Disparity Estimation Through Feature Constancy. - Zhengfa Liang; Yiliu Feng; Yulan Guo; Hengzhu Liu; Wei Chen 009; Linbo Qiao; Li Zhou 009; Jianfeng Zhang (CVPR, 2018)

Unsupervised Stereo Depth Estimation Refined by Perceptual Loss. - Benzhang Wang; Yiliu Feng; Huini Fu; Hengzhu Liu (UPINLBS, 2018)

Stereo Matching Using Multi-Level Cost Volume and Multi-Scale Feature Constancy. - Zhengfa Liang; Yulan Guo; Yiliu Feng; Wei Chen 009; Linbo Qiao; Li Zhou 009; Jianfeng Zhang; Hengzhu Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2021)