| 1 | Joint semantic and temporal compression of LiDAR point clouds for intelligent driving | Proceedings of the International Workshop on Application-driven Point Cloud Processing and 3D Vision(APP3DV), 2025-10 | EI会议 | 通讯 | 
					| 2 | 自动驾驶中的3D目标检测研究进展 | 电子学报,2025 | 顶级期刊 | 1 | 
					| 3 | Point cloud registration method based on morphological feature fusion | 2025 5th International Conference on Artificial Intelligence and Industrial Technology Applications (AIITA), 2025 | EI会议 | 通讯 | 
					| 4 | Efficient Non-Local Point Cloud Denoising Using Curvature Entropy and γ-Norm Minimization | IEEE Transactions on Visualization and Computer Graphics,2025 | 卓越期刊 | 1 | 
					| 5 | Low-complexity AV1 intra prediction algorithm | Journal of Visual Communication and Image Representation,2025 | SCI期刊 | 其它 | 
					| 6 | Scale-Adaptive Asymmetric Sparse Variational AutoEncoder for Point Cloud Compression | IEEE Transactions on Broadcasting,2024 | 卓越期刊 | 1 | 
					| 7 | HEVC 自适应去方块滤波器的 VLSI 设计与实现 | 计算机辅助设计与图形学学报,2024 | EI期刊 | 通讯 | 
					| 8 | 低复杂度样点自适应补偿滤波器的优化设计 | 仪器仪表学报,2023 | 卓越期刊 | 1 | 
					| 9 | 自适应分割的视频点云多模式帧间编码方法 | 自动化学报,2023 | 卓越期刊 | 1 | 
					| 10 | Dynamic convolutional capsule network for In-loop filtering in HEVC video codec | IET Image Processing,2023 | SCI期刊 | 通讯 | 
					| 11 | 基于强化学习的立体全景视频自适应流 | 电子与信息学报,2022 | EI | 通讯 | 
					| 12 | Simplification and compression method based on classified sparse sampling for LiDAR point cloud | IEEE 23rd Int Conf on High Performance Computing & Communications(HPCC),2021 | EI会议 | 1 | 
					| 13 | Video compressed sensing reconstruction based on structural group sparsity and successive approximation estimation model | Journal of Visual Communication and Image Representation,2020 | SCI | 1 | 
					| 14 | Video content features based fast intra prediction algorithm on HEVC | The 9th International Conference on Electronics, Communications and Networks(CECNet),2019 | EI | 通讯 | 
					| 15 | Deep learning based in-loop filter for video coding | IEEE Visual Communications and Image Processing (VCIP),2019 | EI | 通讯 | 
					| 16 | Reconstruction algorithm for block-based compressed sensing based on mixed variational inequality | Multimedia Tools and Applications ,2016 | SCI | 通讯 | 
					| 17 | 基于变分模型的块压缩感知重构算法 | 通信学报,2016 | EI | 1 | 
					| 18 | 基于部分三角函数变换矩阵的块压缩感知测量方法 | 运筹学学报,2015 | 其它 | 1 | 
					| 19 | Residual Distributed Compressive Video Sensing Based on Double Side Information | 自动化学报,2014 | EI | 1 | 
					| 20 | 基于压缩感知的视频编码技术研究 | 福州大学学报(自然科学版),2012 | 其它 | 1 | 
					| 21 | A research of highly effective statistical multiplexing strategy | Applied Mechanics and Materials,2012 | EI | 1 | 
					| 22 | A Highly Effective Multiplexing Strategy of VBR Real-time Stream in Multiple Channels | Applied Mechanics and Materials,2011 | EI | 1 | 
					| 23 | TS流复用器的时分复用设计 | 电视技术,2009 | 其它 | 1 |