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个人简介

二级教授、博士生导师。一直致力于计算机网络与数据通信、信号处理与模式识别、超媒体处理与传输等方面的学术研究。 近5年来,主持完成国家、省部级科研项目14项,已经结题国家自然科学基金面上项目2项;在IEEE 会刊(TIP、TCSVT、TKDE、TMM等)、《电子学报》和《通信学报》等权威期刊和国际知名学术会议上发表学术论文70余篇;获得授权发明专利7项和实用新型专利2项;获得广东省科学技术奖二等奖1项(排名第一)和吴文俊人工智能科技进步二等奖1项(排名第一);主持获得国家级教学成果一等奖和广东省高等教育教学成果奖一等奖各1项。 教育经历 1989.09-1993.07 西北轻工业学院机械工程学科 本科生 1995.09-1999.12 哈尔滨工业大学机械工程学科 硕博连读 2002.12-2005.05 哈尔滨工业大学信息与通信工程流动站 博士后研究 研究与工作经历 2002.12-2005.05 哈尔滨工业大学信息与通信工程流动站博士后研究 2005.09-2016.08 深圳信息职业技术学院工作,历任教师,信息技术研究所副所长、所长,软件工程系主任,深圳信息职业技术学院副院长、院长,二级教授,博士生导师 2016.08-2021.07 深圳市科技创新委员会 主任 2016.08-Present 哈尔滨工业大学(深圳)电子与信息工程学院教授,博士生导师 专业资质与学术兼职 广东省“珠江学者”特聘教授 深圳鹏城学者“通信与信息系统”学科长期特聘教授 IEEE&ACM会员 中国计算机学会杰出会员 中国电子学会高级会员 广东省“南粤优秀教师” 《通信学报》期刊编委 新一代人工智能产业技术创新战略联盟(AITISA)专家 科研项目 2008.01-2010.12 国自然面上项目 基于视觉感知的可伸缩视频编码技术研究 主持 2012.01-2015.12 国自然面上项目 基于内容感知的视频流媒体播出质量服务研究 主持 2019.01-2022.12 国自然面上项目 基于内容的智能视频编码优化研究 主持 2021.01-2025.12 国自然重点项目 超高清视频编码高效算法与芯片架构 主持

研究领域

基于深度学习的超高清视频高效编解码 神经网络结构和损失函数优化 超媒体通信 软硬件协同优化

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Bao Youneng, Tan Wen, Zheng Linfeng, Meng Fanyang, Liu Wei, Liang Yongsheng#. Taylor Series Based Dual-Branch Transformation for Learned Image Compression[J]. Signal Processing, 2023, 212: 109128. Yang Huoxiang, Liang Yongsheng#, Liu Wei, Meng Fanyang. Filter Pruning via Attention Consistency on Feature Maps[J]. Applied Sciences, 2023, 13(3): 1964. Zhao Jiaoyan, Liang Yongsheng#, Yi Shuangyan, Shen Qiangqiang, Cao Xiaofeng. Improving generalization of double low-rank representation using Schatten-p norm[J]. Pattern Recognition, 2023, 138: 109352. Bao Youneng, Meng Fanyang, Li Chao, Ma Siwei, Tian Yonghong, Liang Yongsheng#. Nonlinear Transforms in Learned Image Compression from a Communication Perspective[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2022, 33(4): 1922-1936. Yang Huoxiang, Liang Yongsheng#, Liu Wei, Meng Fanyang, Li Chao. Coupled Attention Framework of Convolutional Neural Network Based on Computer Intelligence[J]. Computational Intelligence and Neuroscience, 2022. Shen Qiangqiang, Yi Shuangyan, Liang Yongsheng#, Chen Yongyong, Liu Wei. Bilateral Fast Low-Rank Representation With Equivalent Transformation for Subspace Clustering[J]. IEEE Transactions on Multimedia, 2022. Yin Shanzhi, Li Chao, Meng Fanyang, Tan Wen, Bao Youneng, Liang Yongsheng#, Liu Wei. Exploring Structural Sparsity in Neural Image Compression[C]//2022 IEEE International Conference on Image Processing (ICIP). IEEE, 2022: 471-475. Yang Huoxiang, Li Chao, Liang Yongsheng#, Liu Wei, Meng Fanyang. Calibrated Convolution with Gaussian of Difference[J]. Applied Sciences, 2022, 12(13): 6570. Li Bowen, Xin Yao, Li Chao, Bao Youneng, Meng Fanyang, Liang Yongsheng#. AdderIC: Towards Low Computation Cost Image Compression[C]//ICASSP 2022- 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022: 2030-2034. Yin Shanzhi, Li Chao, Bao Youneng, Liang Yongsheng#, Meng Fanyang, Liu Wei. Universal Efficient Variable-Rate Neural Image Compression[C]//ICASSP 2022- 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022: 2025-2029. Shen Qiangqiang, Chen Yongyong, Liang Yongsheng#, Yi Shuangyan Liu Wei. Weighted Schatten p-norm minimization with logarithmic constraint for subspace clustering[J]. Signal Processing, 2022, 198: 108568. Liu Shuai, Huang Yingcong, Yang Huoxiang, Liang Yongsheng#, Liu Wei. End-to-end image compression method based on perception metric[J]. Signal, Image and Video Processing, 2022, 16:1803-1810. Zhao Jiaoyan, Yi Shuangyan, Liang Yongsheng#, Liu Wei, Gao Xiaofeng. Robust active representation via ?2, p-norm constraints[J]. Knowledge-Based Systems, 2022, 235: 107639. Gao Wei, Liao Guibiao, Ma Siwei, Li Ge, Liang Yongsheng, Lin Weisi. Unified Information Fusion Network for Multi-Modal RGB-D and RGB-T Salient Object Detection [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2021, 32(4): 2091-2106. Shen Qiangqiang, Liang Yongsheng#, Yi Shuangyan Zhao Jiaoyan. Fast Universal Low Rank Representation[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2021, 32(3): 1262-1272. Bao Youneng, Li Chao, Meng Fanyang, Liang Yongsheng#, Liu Wei, Liu Kaiyu. Mbb: A Multi-Scale Method For Data Based On Bit Plane Slicing[C]//2021 IEEE International Conference on Image Processing (ICIP). IEEE, 2021: 859-863. Liang Yongsheng, Liu Wei, Yi Shuangyan, Yang Huoxiang He Zhenyu. Filter pruning-based two-step feature map reconstruction[J]. Signal, Image and Video Processing, 2021, 15(7): 1555-1563. Lu Jingjing, Yi Shuangyan, Zhao Jiaoyan, Liang Yongsheng#, Liu Wei. Interpretable robust feature selection via joint-norms minimization[C]//2021 13th International Conference on Machine Learning and Computing (ICMLC). 2021: 72-78. Li Chao, Liang Yongsheng#, Yang Huoxiang, Meng Fanyang, Liu Wei, Wang Handong. Improving Convolutional Networks with Boosting Attention Convolutions[C]//2021 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2021: 1-6. Lu Jingjing, Yi Shuangyan, Liang Yongsheng#, Liu Wei, Zhao Jiaoyan, Shen Qiangqiang. Robust Unsupervised Feature Selection Based on Sparse Reconstruction of Learned Clean Data[C]//2021 6th International Conference on Communication, Image and Signal Processing (CCISP). IEEE, 2021: 372-378. Zou Yixiong, Shi Yemin, Shi Daochen, Wang Yaowei, Liang Yongsheng, Tian Yonghong. Adaptation-oriented feature projection for one-shot action recognition[J]. IEEE Transactions on Multimedia, 2020, 22(12): 3166-3179. Li Chao, Liang Yongsheng#, Yang Huoxiang, Liu Wei. DFA: Improving Convolutional Networks with Dual Fusion Attention Module[C]//2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET). IEEE, 2020: 54-59. Liu Qiao, Li Xin, He Zhenyu, Fan Nana, Yuan Di, Liang Yongsheng. Multi-task driven feature models for thermal infrared tracking[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2020, 34(07): 11604-11611. Yi Shuangyan, Nie Feiping, Liang Yongsheng#, Liu Wei, He Zhenyu, Liao Qingmin. Fast extended inductive robust principal component analysis with optimal mean[J]. IEEE Transactions on Knowledge and Data Engineering, 2020, 34(10): 4812 - 4825. Xing Peiying, Peng Peixi, Liang Yongsheng, Huang Tiejun, Tian Yonghong. Binary Representation and High Efficient Compression of 3D CNN Features for Action Recognition[C]//2020 Data Compression Conference (DCC). IEEE, 2020: 400-400.

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