Low complexity frequency domain decision feedback turbo equalization with optimized symbol mapping. - Zhengfa Liang; Hengzhu Liu; Dongpei Liu; Liyong Zhang (WCSP, 2012)

Low Cost CORDIC-Based Configurable FFT/IFFT Processor for OFDM Systems. - Dongpei Liu; Hengzhu Liu; Botao Zhang; Jianfeng Zhang; Shixian Wang; Zhengfa Liang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012)

Realization and design of a pilot assist decision-making system based on speech recognition. - Jian Zhao 006; Hengzhu Liu; Xucan Chen; Zhengfa Liang (CoRR, 2014)

Real-time hardware accelerator for single image haze removal using dark channel prior and guided filter. - Zhengfa Liang; Hengzhu Liu; Botao Zhang; Benzhang Wang (IEICE Electron. Express, 2014)

Simulation study of N-hit SET variation in differential cascade voltage switch logical circuits. - Pengcheng Huang 003; Shuming Chen; Jianjun Chen; Zhenyu Wu; Zhengfa Liang; Chunmei Hu; Bin Liang; Biwei Liu (Sci. China Inf. Sci., 2015)

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 refinement framework for background subtraction based on color and depth data. - Zhengfa Liang; Xiaolong Liu; Hengzhu Liu; Wei Chen (ICIP, 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)

Ranking Support Vector Machine with Kernel Approximation. - Kai Chen 020; Rongchun Li; Yong Dou; Zhengfa Liang; Qi Lv (Comput. Intell. Neurosci., 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)

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)

Multi-Level Context Ultra-Aggregation for Stereo Matching. - Guang-Yu Nie; Ming-Ming Cheng; Yun Liu 011; Zhengfa Liang; Deng-Ping Fan; Yue Liu 005; Yongtian Wang (CVPR, 2019)

Learning Parallax Attention for Stereo Image Super-Resolution. - Longguang Wang; Yingqian Wang 002; Zhengfa Liang; Zaiping Lin; Jun-Gang Yang; Wei An; Yulan Guo (CVPR, 2019)

A Unified Framework for Depth Prediction from a Single Image and Binocular Stereo Matching. - Wei Chen 009; Xin Luo 009; Zhengfa Liang; Chen Li 034; Mingfei Wu; Yuanming Gao; Xiaogang Jia (Remote. Sens., 2020)

Multi-Scale Cascade Disparity Refinement Stereo Network. - Xiaogang Jia; Wei Chen 009; Zhengfa Liang; Xin Luo 009; Mingfei Wu; Yusong Tan; Libo Huang (ICASSP, 2021)

Multi-Scale Cost Volumes Cascade Network for Stereo Matching. - Xiaogang Jia; Wei Chen 009; Chen Li 034; Zhengfa Liang; Mingfei Wu; Yusong Tan; Libo Huang (ICRA, 2021)

Fast and Accurate Lane Detection via Frequency Domain Learning. - Yulin He; Wei Chen 009; Zhengfa Liang; Dan Chen 001; Yusong Tan; Xin Luo 009; Chen Li 034; Yulan Guo (ACM Multimedia, 2021)

Bidirectional Stereo Matching Network With Double Cost Volumes. - Xiaogang Jia; Wei Chen 009; Zhengfa Liang (IEEE Access, 2021)

Multi-Scale Cost Volumes Cascade Network for Stereo Matching. - Xiaogang Jia; Wei Chen 009; Zhengfa Liang; Yusong Tan; Mingfei Wu (CoRR, 2021)

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)

A Joint 2D-3D Complementary Network for Stereo Matching. - Xiaogang Jia; Wei Chen 009; Zhengfa Liang; Xin Luo 009; Mingfei Wu; Chen Li 034; Yulin He; Yusong Tan; Libo Huang (Sensors, 2021)

Parallax Attention for Unsupervised Stereo Correspondence Learning. - Longguang Wang; Yulan Guo; Yingqian Wang 002; Zhengfa Liang; Zaiping Lin; Jungang Yang 001; Wei An (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Multi-Dimensional Cooperative Network for Stereo Matching. - Wei Chen 009; Xiaogang Jia; Mingfei Wu; Zhengfa Liang (IEEE Robotics Autom. Lett., 2022)

Adaptive Scale and Spatial Aggregation for Real-Time Object Detection. - Wei Chen 009; Yulin He; Zhengfa Liang; Yulan Guo (ICASSP, 2023)

Pseudo-label Correction and Learning For Semi-Supervised Object Detection. - Yulin He; Wei Chen 009; Ke Liang 006; Yusong Tan; Zhengfa Liang; Yulan Guo (CoRR, 2023)

Adversarial style discrepancy minimization for unsupervised domain adaptation. - Xin Luo 009; Wei Chen 009; Zhengfa Liang; Chen Li 034; Yusong Tan (Neural Networks, 2023)

Don't Turn a Blind Eye to Localization Noise: Localization Pseudo-label Correction and Learning for Semi-Supervised Object Detection. - Yulin He; Wei Chen 009; Zhengfa Liang; Ke Liang 006; Yusong Tan; Tianrui Liu; Yulan Guo (ICME, 2024)

Crots: Cross-Domain Teacher-Student Learning for Source-Free Domain Adaptive Semantic Segmentation. - Xin Luo 009; Wei Chen 009; Zhengfa Liang; Longqi Yang; Siwei Wang; Chen Li 034 (Int. J. Comput. Vis., 2024)

Gated Cross-Attention Network for Depth Completion. - Xiaogang Jia; Songlei Jian; Yusong Tan; Yonggang Che; Wei Chen 009; Zhengfa Liang (ICASSP, 2025)

Hierarchical Neural Architecture Search for Fast and Accurate Depth Completion. - Xiaogang Jia; Songlei Jian; Yusong Tan; Yonggang Che; Wei Chen 009; Zhengfa Liang; Yulin He (ICMR, 2025)