1朱光明, 张亮, 宋娟, 沈沛意, 张淑娥, 刘欢一种基于Kinect的在线连续人体行为识别方法中国，2017年5月10日201610421286.X2朱光明, 张亮, 宋娟, 沈沛意, 张淑娥, 刘欢一种基于Kinect的在线连续人体行为识别方法中国，2017年5月10日201610421286.X

[1]Liang Zhang, JiaMing Zhang, Peiyi Shen, et al. Block Level Skip Connections across Cascaded V-Net for Multi-organ Segmentation[J]. IEEE Transactions on Medical Imaging, 2020: 1-1. TMI，中科院1区，医工领域顶级期刊

[2]GuangMing Zhu, Liang Zhang,Peiyi Shen, et al. Continuous Gesture Segmentation and Recognition Using 3DCNN and Convolutional LSTM[J]. IEEE Transactions on Multimedia, 2019, 21(4): 1011-1021.SCI WOS:000462413700016

[3]GuangMing Zhu, Liang Zhang, Lu Yang, et al. Redundancy and Attention in Convolutional LSTM for Gesture Recognition[J]. IEEE Transactions on Neural Networks, 2019: 1-13.

[4]Liang Zhang, Wei L, Peiyi Shen, et al. Semantic SLAM Based on Object Detection and Improved Octomap[J]. IEEE Access, 2018: 75545-75559.SCI WOS:000454423600001

[5]Liang Zhang, Le Wang , Xiaodong Zhang , et al. Semantic scene completion with dense CRF from a single depth image[J]. Neurocomputing, 2018: 182-195.SCI WOS:000445763500017

[6] Mingtao Feng, Yaonan Wang, Jian Liu, Liang Zhang, et al. Benchmark Data Set and Method for Depth Estimation From Light Field Images[J].  IEEE Transaction On Image Processing, 2018, 27(7): 3586-3598. SCI WSO: 000430729700007, I区.

[7]  Liang Zhang, Yuanyuan Feng, et al. Efficient finer-grained incremental processing with MapReduce for big data[J]. Future Generation Computer Systems, 2018, 80:102-111, SCI WSO: 000419409200008, II区.

[8] Liang Zhang, Huan Li, et al. Improving Semantic Image Segmentation With a Probabilistic Superpixel-Based Dense Conditional Random Field[J]. IEEE ACCESS, 2018, 6(1):15297-15310. SCI WSO: 000429299100001, III区.

[9] Liang Zhang, Qing Xu. et al. An Improved Colour-to-Grey Method Using Image Segmentation and the Colour Difference Model for Colour Vision Deficiency[J]. IET Image Processing, 2018, 12(3):314-319, SCI WSO: 00042654610003, IV区.

[10] Liang Zhang, Peiyi Shen, et al. A Fast Robot Identification and Mapping Algorithm Based on Kinect Sensor[J]. Sensors, 2015. 15:19937-19967, SCI WSO: 000360906500108, III区.

[11] Liang Zhang, PeiYi Shen, et al. Simultaneous enhancement and noise reduction of a single low-light image[J]. IET Image Processing, 2016, 10:840-847, SCI WSO: 000388742600005, IV区.

[12] GuangMing Zhu, Liang Zhang, et al. An Online Continuous Human Action Recognition Algorithm Based on the Kinect Sensor[J]. Sensors, 2016, 16(2), SCI WSO: 000371787800077, III区.

[13] GuangMing Zhu, Liang Zhang, et al. Multimodal Gesture Recognition Using 3-D Convolution and Convolutional LSTM[J]. IEEE ACCESS, 2017, 5:4517-4524, SCI WSO: 000402940400068, III区.

[14] GuangMing Zhu, Liang Zhang, et al. Human action recognition using multi-layer codebooks of key poses and atomic motions[J]. 2016, 42, SCI WSO: 000371939600002, III区.

[1]Liang Zhang, Xudong Wang, Hongsheng Li,et al. Structure-Feature based Graph Self-adaptive Pooling[J]. WWW 2020. A类国际会议.

[2]Liang Zhang, Yufei Liu, Hang Xiao,et al. Efficient Scene Text Detection with Textual Attention Tower[J]. ICASSP 2020. B类国际会议.

[3]Liang Zhang, Shuai Zhang, Peiyi Shen,et al.Relationship Detection Based on Object Semantic Inference and Attention Mechanisms.ICMR 2019. B类国际会议.

[4]Xiangdong Zhang, Meili Zhang, Liang Zhang, et al. Recoloring Image For Color Vision Deficiency By GANS[C]. 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019.  C类国际会议.

[5]Liang Zhang, Guangming Zhu, Lin Mei, et al. Attention in Convolutional LSTM for Gesture Recognition[C]. neural information processing systems, 2018: 1957-1966. A类国际会议.

[6] Liang Zhang, Guangming Zhu, et al. Learning Spatiotemporal Features using 3DCNN and Convolutional LSTM for Gesture Recognition[C]. ICCV 2017, 2017: 3120-3128, WSO: 00042523960302, A类国际会议.

[7] Liang Zhang, Xiangwen Kong, Guangming Zhu, et al.  Reflective Field for Pixel-Level Tasks[C]. ICPR 2018, C类国际会议.

[8] Liang Zhang, Qing Xu, Guangming Zhu, et al.  An Efficient RecoloringMethod For ColorVision Deficiency Based On Color ConfidenceAnd Difference[C]. CCCV 2017, C类国际会议.

[9] Liang Zhang, Peiyi Shen, Guangming Zhu, et al.  Human Activity Recognition Based on Weighted Limb Features[C]. IROS 2016, C类国际会议.

[10] Guangming Zhu, Liang Zhang, et al.  Large-scale Isolated Gesture Recognition using Pyramidal 3D Convolutional Networks[C]. ICPR 2016, C类国际会议.

[11] Liang Zhang, Guangming Zhu, et al.  Fast human whole body motion imitation algorithm for humanoid robots[C]. ROBIO 2016, C类国际会议.

[1] 朱光明，张亮，宋娟，沈沛意，张淑娥，刘欢，一种基于Kinect的在线连续人体行为识别方法，中国，201610421286.X，2017-5-10.

[2] 朱光明，张亮，宋娟，沈沛意，程志浩，刘宇飞，一种基于Kinect的仿人机器人人体行为模仿方法，中国，201610480222.7， 2016-11-09.

[3] 朱光明，沈沛意，宋娟，张亮，彭希璐，张淑娥，刘欢，一种低照度图像的同步增强去噪方法，中国，201510705402.6，2015.12.

[4] 张亮，沈沛意等，面向公共安全服务的嵌入式移动智能监控系统，中国，201210167057.1，2012.05

[5] 张亮，沈沛意等，基于多核或众核嵌入式处理器的网络数据包处理方法，中国，201310365607.5，2013.08

[6] 张亮，沈沛意等，基于FPGA的DPR SoC自重构系统的耗时计算方法及应用，中国，201310365661X，2016.10

[7] 张亮，沈沛意等，一种IP智能相机，中国，201110064657，2013.06

[8] 张亮，沈沛意等，基于3G网络的音视频远程监控方法及系统，中国，201210014022.4，2014.10

[9] 张亮，沈沛意等，智能化汽车安全警示装置，中国，201110150363.X，2013.09

[10] 张亮，沈沛意等，基于FPGA多核系统的核间通信方法，中国，201110164421，2013.02

[11] 张亮，沈沛意等，安全生产应急预案文档生成系统和方法，中国，201110114591.1，2014.03

[12] 张亮，沈沛意等，基于FPGA多核的车牌识别系统，中国，201110164726.5，2012.06

[1] 张亮，沈沛意，肖潇，刘春红，《基于XILINX-FPGA的多核嵌入式系统设计基础》，西安电子科技大学出版社，978-7-5606-2560-7， 2011.05

[2] 沈沛意，张亮，周梦，董洛兵，王剑，《DAVINCI 技术剖析及实战应用开发指南》，西安电子科技大学出版社，978-7-5606-2720-5， 2012.07

• 承担国家自然科学基金、国家重大科技专项、863、973、陕西省13115重大科技项目、军工项目若干项、横向项目多项；
• 获得国家科技进步二等奖多项、陕西省科技进步奖多项；
• 在IEEE TVCG、IEEE Sensors Journal、Sensors、IET Image Processing、PR Letters、AIM、ICPR、ISR等国际期刊和会议发表论文多篇；
• 申请发明专利30余部。