科学研究

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中文期刊

    1.       孙必慎,石武祯,姜峰*,计算视觉核心问题:自然图像先验建模研究综述[J] 智能系统学报,20191

    2.       衣淳植,郭浩,丁振,朱瑞,杨炽夫,刘绍辉,姜峰*下肢外骨骼研究进展及关节运动学解算综述[J],智能系统学报, 878-888,  13 卷第 6 , 2018, DOI: 10.11992/tis.201804063

    3.       姜峰*,尹逊锋,衣淳植,杨炽夫利用肌电信号求解关节力矩的研究及应用综述,智能系统学报,2020.

    4.       姜峰*郭美思刘绍辉, et al. 基于感知视觉重要性的立体图像质量评价[J]. 智能系统学报, 2012, 07(5):414-422.

    5.       姜峰*李博姚鸿勋, et al. 流形学习与基于线性耦合映射的流形对齐[J]. 智能系统学报, 2010, 5(06):476-481.

    6.       徐蓉姜峰*姚鸿勋. "流形学习概述." 智能系统学报 1.1(2006):44-51.

    7.       王雨轩倪训博姜峰*手语识别中基于HMM的区分性训练方法[J],智能系统学报, 2007 01

    8.       朱海麒姜峰*,人工智能时代面向运维数据的异常检测技术研究与分析 信息网络安全 11.2019

    9.       姜峰高文姚鸿勋陈熙霖手势手语力效分析计算机学报. 2007, 30(5): 851-860. (EI)

    10.    姜峰高文王春立姚鸿勋赵德斌非特定人手语识别进展及关键问题研究思路.软件学报. 2007, 18(3): 477-489. (EI)

    11.    姜峰高文姚鸿勋赵德斌陈熙霖非特定人手语识别问题中的合成数据驱动方法计算机研究与发展. 2007, 44(5): 873-881. (EI)

    12.    姜峰,高文,姚鸿勋基于可分性度量的捆绑模型分析及其在手语识别中的应用计算机研究与发展. 2005, 42(B). (EI)

    13.    姜峰,姚鸿勋动态贝叶斯网络的表示及推理计算机研究与发展. 2005, 42(B).

    14.    姜峰,叶剑君,姚鸿勋基于HMMSVM二级分类器的大词汇量中国手语识别系统计算机研究与发展. 2005, 42(B).

    15.    徐蓉 姜峰*,姚鸿勋.流形学习概述.智能系统学报,2006,1,44-51.

    16.    倪训博,赵德斌, 姜峰*,程丹松,ViterbiDTW算法的关系分析在非特定人手语识别中的应用,计算机研究与发展, 201002期。

    17.    倪训博,赵德斌, , 姜峰*,姚鸿勋.非特定人手语数据生成及其有效性检测.软件学报,2010,21(5):1153-1170

    18.    倪训博,赵德斌, 姜峰*,程丹松中国手语音韵标记的建立、实现及其有效性验证计算机学报 2009 12

    19.    张晨曦姚鸿勋 姜峰*;基于多分辨率的多层分类器的手语识别方法,计算机科学, Computer Science,  2005 04

    20.    王雨轩倪训博 姜峰*手语识别中基于HMM的区分性训练方法,智能系统学报, CAAI Transactions on Intelligent Systems,  2007 01

    21.    滕达杨寿保刘岩 姜峰*基于大小手的徒手手势实时识别,计算机用,  Journal of Computer Applications, 2006 09





英文期刊

    2024

    1.      Guoming Du, Zhen Ding, Hao Guo, Meichao Song, Feng Jiang * Lower Limb Joint Angles Estimation Using sEMG Signals and RGB-D CameraBioengineering2024.

    2.      Jin Tian, Chifu Yang, Feng Jiang, Chunzhi YiA novel passive occupational shoulder exoskeleton with adjustable peak assistive torque angle for overhead tasks. IEEE Transactions on Biomedical Engineering, 2024.

    3.      Jianfei Zhu, Baichun Wei, Feng Jiang, Chunzhi Yi An adaptively weighted averaging method for regional time series extraction of fMRI-based brain decoding. IEEE Journal of Biomedical and Health Informatics, 2024.

    4.      Chen Hui, Debin Zhao, Weisi Lin, Shaohui Liu, Feng Jiang. Image Compressive Sensing with Scale-Variable Adaptive Sampling and Hybrid-Attention Transformer Reconstruction. IEEE Transactions on Multimedia (TMM), 2024.

    5.      Wei Zhang, ABDERRAHMANE SALMi, Chifu Yang and Feng Jiang*, Innovative Noise Extraction and Denoising in Low-Dose CT using a Supervised Deep Learning Framework[J]. Electronics, 2024.

    6.      Wei Zhang, Wei Jin, Seungmin Rho, Feng Jiang* and Chi-fu Yang. A Federated Learning Framework for Brain Tumor Segmentation Without Sharing Patient Data[J]. International Journal of Imaging Systems and Technology, 2024.

    7.      Wei Zhang, ABDERRAHMANE SALMi, Chifu Yang and Feng Jiang*, Enhancing Pulmonary Nodule Detection Rate using 3D Convolutional Neural Networks with Optical Flow Frame Insertion Technique[J]. IEEE Access, 2024.

    8.      Abderrahmane Salmi, Wei Zhang, Feng Jiang*, Mobile Reducing Data Transmission Efficiency in Wireless CapsuleEndoscopy through DL-CEndo Framework: Reconstructing Lossyow-Resolution Luma lmages and improving Summarization for Accurate Diagnosis, Networks and Application, 2024.

    9.      Chunzhi Yi, Baichun Wei, Jianfei Zhu, Yuefan Wang, Feng Jiang*. Mordo2: A Personalization Framework for Silent Command Recognition. IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2024

    10.   Haiqi Zhu, Seungmin Rho, Shaohui Liu, Feng Jiang*, Detecting Multivariate KPI Anomalies in Large-scale Cyber-Physical Systems based on Spatial Dependence Modeling[J]. IEEE Transactions on Instrumentation and Measurement, 2024. 

    11.   Mengxuan Shao, Haiqi Zhu, Debin Zhao, Kun Han, Feng Jiang*, Shaohui Liu, and Wei Zhang. Progressively Learning to Reach Remote Goals by Continuously Updating Boundary Goals. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 2024. 

    2023

    12.   Zhipeng Wang, Chifu Yang, Shengping Zhang, Shihao Zhang, Chunzhi Yi, and Feng Jiang*Knee Flexion-Assisted Method forHuman-Exoskeleton System, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2023 

    13.   Baichun Wei, Chunzhi Yi, Shengping Zhang, Hao Guo, Jianfei Zhu, Zhen Ding, Feng Jiang*. Taking Locomotion Mode As The Prior: One Algorithm-Enabled Gait Events and Kinematics Prediction Under Various Terrains, IEEE Sensors Journal, 2023. 

    14.   Baichun Wei, Chunzhi Yi, Qi Zhang, Jianfei Zhu, and Feng Jiang*, ActiveSelfHAR: Incorporating Self Training into Active Learning to Improve Cross-Subject Human Activity Recognition. IEEE Internet of Things Journal, 2023. 

    15.   Chen Hui, Shengping Zhang, Wenxue Cui, Shaohui Liu, Feng Jiang*, Debin Zhao. “Rate‑Adaptive Neural Network for Image Compressive Sensing.” IEEE Transactions on Multimedia, 2023. 

    16.   Guo H, Song M, Ding Z, Yi C, Jiang F. Vision-Based Efficient Robotic Manipulation with a Dual-Streami ng Compact Convolutional Transformer. Sensors. 2023; 23(1):515.  

    17.   Haiqi Zhu, Chunzhi Yi, Seungmin Rho, Shaohui Liu, Feng Jiang*, An Interpretable Multivariate Time-series Anomaly Detection Method in Cyber-Physical Systems Based on Adaptive Mask[J]. IEEE Internet of Things Journal, 2023.

     

    2022

    18.    Chen Hui, Shaohui Liu, Feng Jiang, Debin Zhao, Wuzhen Shi. Spatio-Temporal Context Based Adaptive Camcorder Recording Watermarking. ACM Transactions on Multimedia Computing, Communications and Applications. Volume 18 Issue 3s October 2022 Article No.: 144 pp 1–25 https://doi.org/10.1145/3503160 JCR 1

    19.   Chunzhi YiBaichun Wei, Jianfei Zhu, Seungmin Rho, Zhiyuan Chen, Feng Jiang*Mordo: Silent Command Recognition Through Lightweight Around-Ear Biosensors. IEEE Internet of Things Journal,2022. DOI: 10.1109/JIOT.2022.3204336 

    20.   Chunzhi Yi, Sang-Oh Park, Chifu Yang, Feng Jiang*, Zhen Ding, Jianfei Zhu and Jie Liu. Muscular Human Cybertwin for Internet of Everything: A Pilot Study[J]. IEEE Transactions on Industrial Informatics, 2022.JCR:Q1, IF=10.215 DOI: 10.1109/TII.2022.3153305 

    21.   Chunzhi Yi, Baichun Wei, Zhen Ding, Chifu Yang, Zhiyuan Chen, Feng Jiang*. A Self-Aligned Method of IMU-based 3-DoF Lower-limb Joint Angle Estimation. IEEE Transactions on Instrumentation and Measurement, 2022. DOI: 10.1109/TIM.2022.3194935 

    22.   Chunzhi Yi, Seungmin Rho, Baichun Wei, Chifu Yang, Zhen Ding, Zhiyuan Chen, Feng Jiang*Detecting and Correcting IMU Movements During Joint Angle Estimation. IEEE Transactions on Instrumentation and Measurement, 2022. DOI: 10.1109/TIM.2022.3167771 

    23.   C. Yi, F. Jiang et al., "Continuous Prediction of Lower-Limb Kinematics From Multi-Modal Biomedical Signals," in IEEE Transactions on Circuits and Systems for Video Technology,( Volume: 32, Issue: 5, May 2022) Page(s): 2592 - 2602. 

    24.   Wenxue Cui, Feng Jiang, Shaohui Liu, Debin Zhao, Image Compressed Sensing Using Non-local Neural Network, IEEE Transactions on Circuits and Systems for Video Technology, 2022 

    25.   Wang, Zhipeng ;Yang, Chifu ;Ding, Zhen ;Yang, Tao ;Guo, Hao ;Jiang, Feng ;Tian, BowenStudy on the Control Method of Knee Joint Human- -Exoskeleton Interactive SystemSensors, vol. 22, issue 3, p. 1040January 2022 

    26.   Benassou S N, Shi W, Jiang F, et al. Hierarchical complementary learning for weakly supervised object localization[J]. Signal Processing: Image Communication, Volume 100, January 2022, 116520. 

    27.   Haiqi Zhu, Shaohui Liu, Feng Jiang*. Adversarial training of LSTM-ED based anomaly detection for complex time-series in cyber-physical-social systems[J]. Pattern Recognition Letters, 2022. 

    28.   Zhang, W., Gao, X. Z., Yang, C. Feng Jiang, F., & Chen, Z. Y. (2020). A object detection and tracking method for security in intelligence of unmanned surface vehicles. Journal of Ambient Intelligence and Humanized Computing, 13, 1279–1291 (2022) 

    29.   Haiqi Zhu, Seungmin Rho, Shaohui Liu, Feng Jiang*, Multi-Task Learning of Multivariate Time-series Missing Value Imputation and Anomaly Detection for Cyber-Physical Systems[J]. IEEE Transactions on Network and Service Management, 2022.

    30.   Haiqi Zhu, Seungmin Rho, Shaohui Liu, Feng Jiang*A Multivariate Time-series Representation Method based on Temporal-Spatial Context for Cyber-Physical Systems[J]. Applied Intelligence, 2022.

    31.   Tianhong Liu, Wenxue Cui, Chen Hui, Feng Jiang, Ying Gao, et.al. AHG11: Postprocess Filter based on Fusion of CNN and Transformer[Z]. JVET-Z0101, Teleconference, 2022(技术提案)

     

    2021

    32.   Feng Jiang, Zyc, An, et al. Combining Fields of Experts (FoE) and K-SVD methods in pursuing natural image priors[J]. Journal of Visual Communication and Image Representation, Vol: 78, Page: 103-142 ,2021. 

    33.   Wuzhen Shi, Shaohui Liu, Feng Jiang, Debin Zhao. Video compressed sensing using a convolutional neural network. IEEE Transactions on Circuits and Systems for Video Technology, vol.31, no.2, pp. 425-438, Feb. 2021, doi: 10.1109/TCSVT.2020.2978703. 

    34.   Baichun Wei, Zhen Ding, Chunzhi Yi, Hao Guo, Zhipeng Wang, Jianfei Zhu, Feng Jiang*. A Novel sEMG-Based Gait Phase-Kinematics-Coupled Predictor and Its Interaction with Exoskeletons. Frontiers in Neurorobotics, 2021. 

    35.   Chunzhi Yi, Shengping Zhang, Feng Jiang*. Enable Fully Customized Assistance: A Novel IMU-based Motor Intent Decoding Scheme[J]. IEEE Transactions on Cognitive and Developmental Systems, 2021. DOI: 10.1109/TCDS.2021.3126001 

    36.   Zhang W , Jiang F , Yang C F , et al. Research on unmanned surface vehicles environment perception based on the fusion of vision and lidar[J]. IEEE Access, 2021, ( Volume: 9) PP 63107 - 63121. 

    37.   Jianfei Zhu, Chunzhi Yi, Baichun Wei, Feng Jiang*The Muscle Fatigue’s Effects on the sEMG-Based Gait Phase Classification: An Experimental Study and a Novel Training Strategy. Applied Sciences,  2021, 11(9), 3821; https://doi.org/10.3390/app11093821

    38.    Ding Z, Yang C, Wang Z, et al. Online adaptive prediction of human motion intention based on semg[J]. Sensors, 2021, 21(8): 2882 

    39.   Chunzhi Yi, Chifu Yang , Zhiyuan Chen , Zhen Ding and Feng JiangReference Frame Unification of IMU-Based Joint Angle Estimation: The Experimental Investigation and A Novel Method. Sensors, 2021. 

    40.   Chunzhi Yi, Feng Jiang, Md Zakirul Alam Bhuiyan, CF Yang, Xianzhong GAO, Hao Guo, Jiantao Ma, Shen Sum, Smart healthcare-oriented online prediction of lower-limb kinematics and kinetics based on data-driven neural signal decoding. Future Generation Computer Systems, 2021. Volume 114, January 2021, Pages 96-105  

    41.   Benassou Sabrina Narimene, Wuzhen Shi, Feng Jiang, Entropy Guided Adversarial Model for Weakly Supervised Object Localization, Neurocomputing, 2021 Volume 429, 14 March 2021, Pages 60-68. 

    42.   Worku J. SORI, Feng Jiang, Arero W. GODANA, Shaohui LIU, Demissie J. GELMECHA. DFD-Net: Lung Cancer detection from denoised CT scan image using deep learning,  Front. Comput. Sci. 15, 152701 (2021). https://doi.org/10.1007/s11704-020-9050-z

     

    2020

    43.   Feng Jiang, Yunsheng Fu*, Yongsheng Liang, Fanzhi Meng and Zhihong Tian,Deep Learning based Multi-channel intelligent attack detection for Data Security, IEEE Transactions on Sustainable Computing, 2020, Volume: 5, Issue: 2, Page(s): 204-212 DOI: 10.1109/TSUSC.2018.2793284 https://ieeexplore.ieee.org/document/8259310

    44.   Wuzhen Shi, Feng Jiang, Shaohui Liu, Debin Zhao. Image compressed sensing using convolutional neural network. IEEE Transaction on Image Processing, 2020, 29(1):375-388. DOI: 10.1109/TIP.2019.2928136 

    45.   Yuankai Qi, Shengping Zhang, Feng Jiang, Huiyu Zhou, Dacheng Tao, and Xuelong Li, Siamese Local and Global Networks for Robust Face Tracking, IEEE Transaction on Image Processing, 2020, ( Volume: 29) Page(s): 9152 - 9164 

    46.   Gu D, Li Y, Jiang F, Wen Z J, et al. VINet: A Visually Interpretable Image Diagnosis Network[J]. IEEE Transactions on Multimedia (TMM), 2020, ( Volume: 22, Issue: 7, July 2020) Page(s): 1720 - 1729. 

    47.   Aleksei Grigorev, Shaohui Liu, Zhihong Tian, and Feng Jiang*. 2020. Delving Deeper in Drone­Based Person Re­Id by Employing Deep Decision Forest and Attributes Fusion. ACM Trans. Multimedia Comput. Commun. Appl. 16, 1s, Article 25 (April 2020), 15 pages. DOI:https://doi.org/10.1145/3360050 

    48.   Tian, Z., Shi, W., Tan, Z., Qiu, J., Sun, Y., Feng Jiang, & Liu, Y. (2020). Deep Learning and Dempster-Shafer Theory Based Insider Threat Detection. Mobile Networks and Applications,  2020. https://doi.org/10.1007/s11036-020-01656-7.

    49.   Songyuan Fan, Rui Wang, Zhihao Wu, S. Rho, Shaohui Liu, Jiaxin Xiong, Sen Fu, and Feng Jiang, "High-speed tracking based on multi-CF filters and attention mechanism," Signal, Image and Video Processing (SIVP), Springer, Vol. 71, pp. 243, April 2020. DOI: 10.1007/s11760-020-01651-1)

    50.   Xiaowei Wang, Maowei Cheng, Yefu Wang, Shaohui Liu, Zhihong Tian, Feng Jiang*, "Obstructive Sleep Apnea Detection Using ECG-Sensor with Convolutional Neural Networks" Multimed Tools Appl (79, pages15813–15827 (2020)).https://doi.org/10.1007/s11042-018-6161-8 

    51.   Ding Zhen, ChunZhi Yi, Feng Jiang*, Chifu Yang, The online estimation of the joint angle based on the gravity acceleration using the accelerometer and gyroscope in the wireless networks, MTAP, 2020, 79(23):16265-16279.

     

    2019

    52.   Hong Huang, Fanzhi Meng, Zhou Shaohua, Feng Jiang: Brain Image Segmentation Based on FCM Clustering Algorithm and Rough Set. IEEE Access 7: 12386-12396 (2019) https://ieeexplore.ieee.org/document/8612906 

    53.   Wuzhen Shi, Feng Jiang*, Shengping Zhang, Rui Wang, Debin Zhao, Huiyu Zhou. Hierarchical residual learning for image denoising. Signal Processing: Image Communication, 2019, 76, 243-251. 

    54.   Aleksei Grigorev, Zhihong Tian, Seungmin Rho, Jianxin Xiong, Shaohui Liu & Feng Jiang, Deep person re-identification in UAV images, EURASIP Journal on Advances in Signal Processing,volume 2019, Article number: 54 (2019)

    55.   Worku Jifara, Feng Jiang, Seungmin Rho, Maowei Cheng, Shaohui Liu Medical Image Denoising Using Convolutional Neural Network: A Residual Learning Approach, Journal of Supercomputing DOI: 10.1007/ s11227 -017 -2080-0 February 2019, Volume 75, Issue 2, pp 704–718 JCR 2

    56.   Adil Khan, Feng Jiang*, Shaohui Liu, Ibrahim,Playing A Fps Doom Video Game with Deep Visual Reinforcement Learning,Automatic Control and Computer Science, 53.3(2019): 214–222.

    57.   Xiang Yu, Zhihong Tian, Feng Jiang*. A Data Leakage Prevention Method Based on The Reduction of Condential and Context Terms for Smart Mobile Devices. Wireless Communications and Mobile Computing. 2019

    58.   Haiqi Zhu, Fanzhi Meng*,  Seungmin Rho, Mohan Li,  Jianyu Wang, Shaohui Liu, Feng Jiang,Long Short Term Memory Networks Based Anomaly Detection For KPIs,CMC-Computers Materials & Continua, 2019, 58(2):829-847.

    59.   Wuzhen Shi, Shaohui Liu,Feng Jiang*, Anchored Neighborhood Deep Network for Single Image Super-Resolution" EURASIP Journal on Image and Video Processing. 2019, 34 (2018). DOI10.1186/s13640-018-0269-7 2018 

    60.   Shi Jin, Shoubo Cao, Aleksei Grigorev, Jianhua Li, Qingwei Meng, Chunyan Wang, Meiyan Feng, Jing Hu, Feng Jiang, and Yan Yu, Establishment of cancer/testis antigens (CTAs) profiling based on clinicopathological characteristics in resected pathological stage III non-small cell lung cancer, Cancer Management and Research, 2019; 10: 2031–2046. JCR2doi: [10.2147/CMAR.S164043]

    61.   Zhu, H., Liu, Q., Qi, Y., Huang, X., Feng Jiang, & Zhang, S.. (2018). Plant identification based on very deep convolutional neural networks. Multimedia Tools and Applications. November 2019, Volume 77, Issue 22, pp 29779–29797 JCR2

     

    2018

    62.   Feng Jiang, Wen Tao, Shaohui Liu, Jie Ren, Xun Guo, Debin Zhao, An End-to-End Compression Framework Based on Convolutional Neural Networks, IEEE Transactions on Circuits and Systems for Video Technology, Volume: 28, Issue: 10, Oct. 2018,Page(s): 3007 - 3018 DOI: 10.1109/TCSVT.2017.2734838 

    63.   Feng Jiang, Aleksei Grigorev, Seungmin Rho, Zhihong Tian, Yunsheng Fu, Worku J. Sori, Adil Khan, Shaohui Liu, Medical Image Semantic Segmentation based on Deep Learning, Neural Computing and Applications, DOI: 10.1007/s11227-017-2080-0 March 2018, Volume 29, Issue 5, pp 1257–1265 

    64.   Zhang, Shengping; Qi, Yuankai; Jiang, Feng; Lan, Xiangyuan; Yuen, Pong; Zhou, Huiyu Point-to-Set Distance Metric Learning on Deep Representations for Visual Tracking,  IEEE Intelligent Transportation Systems Transactions, 19(1): 187–198, 2018. 

    65.   Lei Zhang ; Shengping Zhang ; Feng Jiang; Yuankai Qi ; Jun Zhang ; Yuliang Guo ; Huiyu Zhou  BoMW: Bag of Manifold Words for One-shot Learning Gesture Recognition from Kinect,IEEE Transactions on Circuits and Systems for Video Technology, Volume: 28, Issue: 10, Oct. 2018, Page(s): 2562-2573 https://doi.org/10.1109/TCSVT.2017.2721108

    66.   Moussa Amrani, Feng Jiang, Yunzhong Xu, Shaohui Liu and Shengping Zhang, SAR Oriented Visual Saliency Model and Directed Acyclic Graph Support Vector Metric Based Target Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingJSTARS, 2018 Volume: 11 , Issue: 10 , Oct. 2018 

    67.   Congcong Chen; Feng Jiang, Chifu  Yang; Weizheng Shen; Shaohui  Liu; Zhiguo Liu, Hyperspectral classification based on spectral–spatial convolutional neural networks; International Scientific Journal Engineering Applications of Artificial Intelligence, (2018) 68:165-171 · February 2018. 

    68.   Shaohui Liu, S. Rho, Renjie Wang, and Feng Jiang*, "Feature-preserving mesh denoising based on guided normal filtering," Multimedia Tools and Applications ( MTAP), Springer (SCIE), 77, pages23009–23021 (2018) . (ISSN: 1380-7501 ) 

    69.   Zhen Ding, Chifu Yang, Zhihong Tian, Chunzhi Yi, Yunsheng Fu, Feng Jiang*, sEMG-Based Gesture Recognition With Convolution Neural Networks, Sustainability,2018, 10(6):1865 

    70.   Chunzhi Yi, Jiantao Ma, Hao Guo, Jiahong Han, Hefu Gao, Feng Jiang*, Chifu Yang, Estimating Three-Dimensional Body Orientation Based On An Improved Complementary Filter for Human Motion Tracking. Sensors, 2018 Nov 4;18(11):3765. doi: 10.3390/ s18113765. 

    71.   Shaohui Lui, Seungmin Rho, Feng Jiang, Wen Ji, and Bo-Wei Chen* A Hybrid Framework of Data Hiding and Encryption in H.264/SVC Discrete Applied MathematicsVolume 241, 31 May 2018, Pages 48-57

    72.   Mohamed Hammad, Asmaa Maher, Kuanquan Wang,Feng Jiang*, Moussa Amrania,Detection of abnormal heart conditions based on characteristics of ECG signals, Measurement, Volume 125, September 2018, Pages 634-644 

    73.   Moussa Amrani*, Mohamed Hammad, Feng Jiang, Kuanquan Wang, Amel Amrani, Very Deep Feature Extraction and Fusion for Arrhythmias Detection, Neural Computing and Applications, October 2018, Volume 30, Issue 7, pp 2047–2057 

     

    2017

    74.   Feng Jiang, Jie Ren, Changhoon Lee, Wuzhen Shi, Shaohui Liu, Debin Zhao,Spatial and Temporal Pyramids Based Real-Time Gesture Recognition, Journal: Journal of Real-Time Image Processing, DOI: 10.1007/s11554-016-0620-0 September 2017, Volume 13, Issue 3, pp 599–611 JCR 2 https://link.springer.com/article/10.1007%2Fs11554-016-0620-0  

    75.   Yan Wang, Feng Jiang, B. B. Gupta, Seungmin Rho, Qingfen Liu, Handan Hou, Dongjun Jing; Variable Selection and Optimization in Rapid Detection of Soybean Straw Biomass Based on CARS, IEEE ACCESS Vol.6, No. 1, pp: 5290-5299,2017, 10.1109/ACCESS.2017. 2763596. JCR 1 https://ieeexplore.ieee.org/document/8076837 

    76.   Amrani Moussa, Feng Jiang;Deep Feature Extraction and Combination for SAR Target Classification, Journal of Applied Remote Sensing, 11(4),2017, doi: 10.1117/1.JRS.11.016

    77.   Aleksei Grigorev, Feng Jiang, Worku J. Sori, Rao Zhang and Shaohui Liu, Depth estimation from single monocular images using deep hybrid network, Multimedia Tools and Applications, MTAP, DOI: 10.1007/s11042-016-4200-x 2017, Volume 76, Issue 18, pp 18585–18604 

    https://link.springer.com/article/10.1007/s11042-016-4200-x

    78.   Worku Jifara,Feng Jiang, B Zhang , H Wang, J Li, Shaohui Liu, Hyperspectral Image Compression Based On Online Learning Spectral Features Dictionary Multimedia Tools and Applications, MTAP DOI: 10.1007/s11042-017-4724-8, 2017, Volume 76, Issue 23, pp 25003–25014

    https://link.springer.com/article/10.1007%2Fs11042-017-4724-8

    79.   Khan, Adil and Jiang, Feng* and Liu, Shaohui and Jifara, Worku and Tian, Zhihong and Fu, Yunsheng, State of the Art and Open Challenges in RTS Game-AI and Starcraft, International Journal of Advanced Computer Science and Applications, vol. 8, no. 12, pp. 16-24 (2017)

    80.   Khan, Adil and Jiang, Feng* and Liu, Shaohui and Grigorev, Aleksei and B Gupta, B and Rho, Seungmin, Training an Agent for FPS Doom Game using Visual Reinforcement Learning and VizDoom, International Journal of Advanced Computer Science and Applications, vol. 8, no. 12, pp. 32-41 (2017)

    81.   Nabin Kumar Karn, Hongli Zhang, Feng Jiang: User-Perceived Quality Aware Adaptive Streaming of 3D Multi-View Video over the Internet, MTAP, JCR2 2017, Volume 77, Issue 17, pp 22965–22983 https://link.springer.com/article/10.1007%2Fs11042-018-5744-8

    82.   Worku Jifara Sori, Feng Jiang, Shaohui Liu, Multi-path convolutional neural network for lung cancer detection, Multidimensional Systems and Signal Processing, 23 November 2017 JCR 2.

     

    2016

    83.   Feng Jiang, Bo-Wei Chen, Kun Li and Debin Zhao+, Big Data Driven Decision Making and Multi-prior Models Collaboration for Media Restoration, Multimedia Tools and Applications, DOI 10.1007/s11042-014-2240-7, pp: 1-15 2016, 75(20):1-16.. JCR 2

    84.   Bo-Wei Chen, Wen Ji, Feng Jiang, QoE-Enabled Big Video Streaming for Large-Scale Heterogeneous Clients and Networks in Smart Cities, IEEE ACCESS. ( Volume: 4)Page(s): 97 - 107 2016 JCR 1

    85.   Feng Jiang, Chen B W, Rho S, et al. Optimal filter based on scale-invariance generation of natural images[J]. Journal of Supercomputing, 2016, 72(1): 5-23. JCR 2

    86.   Yan Zhang, Feng Jiang*, Rongrong Ji, Debin Zhao, 3D object retrieval with multi-feature collaboration and bipartite graph matching, DOI: 10.1016/j.neucom.2015.09.118. Neurocomputing Volume 195, 26 June 2016, Pages 40-49 JCR

    87.  Xinwei Gao, Feng Jiang, Shaohui Liu, Wenbin Che, Xiaopeng Fan, Debin Zhao, Hierarchical frame based spatial–temporal recovery for video compressive sensing coding Neurocomputing, vol. 174, pp: 404-412, 2016. JCR

    88.   Yatong Jiang, Seungmin Rho, Yingping Zhang, Feng Jiang, Jian Yin, Multi-scale stream reduction for volume rendering on GPUs, Microprocessors and Microsystems Volume 47, Part A, November 2016, Pages 133–141 JCR 2

    89. ADIL KHAN, Feng Jiang, Mobile Sink Random Mobility Model Impact in Wireless Sensor Nodes Energy Consumption Efficiency, International Review of Basic and Applied Sciences, Vol. 4 Issue.12, 317-325,2016

    90.   Zhiguo Liu, Chifu Yang, Shaohui Liu, Feng Jiang, Structured Entropy of Primitive: Big Data based Stereoscopic Image Quality Assessment, IET image processing doi: 10.1049/iet-ipr.2016.1053, Volume: 11, Issue: 10, 2017 Page(s): 854 - 860

     

    2015

    91.   Feng Jiang, Shengping Zhang+, Shen Wu, Yang Gao and Debin Zhao+,Multi-layered Hand Gesture Recognition with Kinect, Journal of Machine Learning Research, vol. 16, no.2 (2015). 387-416 J

    92.   Feng Jiang, Seungmin Rho+, Bo-Wei Chen, Xiaodan Du and Debin Zhao+, Face hallucination and recognition in social network services, Journal of Supercomputing, 2015, Vol. 71, no.6, pp 2035-2049 (2015). 

    93.   Shengping Zhang; Huiyu Zhou; Feng Jiang; Xuelong Li,Robust Visual Tracking Using Structurally Random Projection and Weighted Least Squares, IEEE Transactions on Circuits and Systems for Video Technology, Vol.25, No. 11, pp: 1749 – 1760 (2015). 

    94.   Shovan Barma, Bo-Wei Chen, Wen Ji, Feng Jiang, and Jhing-Fa Wang, Measurement of Duration, Energy of Instantaneous-Frequencies, and Splits of Subcomponents of the Second Heart Sound IEEE Transactions on Instrumentation & Measurement, vol. 64, No. 7, pp: 1958 – 1967 (2015). 

    95.   Qi Guo, Bo-Wei Chen, Feng Jiang, Xiangyang Ji, Efficient Divide-and-Conquer Classification Based on Parallel Feature-Space Decomposition for Distributed Systems, IEEE Systems Journal. 2018, Volume: 12,  Issue:2, 1932-8184 DOI: 10.1109/JSYST.2015. 2478800. JCR 1https://ieeexplore.ieee.org/document/7293604 

    96.   Feng Jiang, Yang Gao, Shaohui Liu+ and Debin Zhao+, Discriminating Features Learning in Gesture Classification, IET Computer Vision, Vol. 9, No. 5, pp: 673-680 (2015).

    97.   Feng Jiang, Chunwei Lin+, Hailiang Wang and Debin Zhao, Game theory based no-reference perceptual quality assessment for stereoscopic images, Journal of Supercomputing, Vol. 71, No. 9, pp: 3337-3352 (2015). 

    98.   Xiangzhan Yu, Zhaoxin Zhang, Haining Yu, Feng Jiang and Wen Ji. An Asynchronous Periodic Sequential Pattern Mining Algorithm with Multiple Minimum Item Supports for Ad Hoc Networking. journal of sensors. 2015 (1) :274-281. 

     

    2014

    99.   Feng Jiang, Shen Wu, Yang Gao and Debin Zhao+, Viewpoint-Independent Hand Gesture Recognition With Kinect, Signal, Image and Video Processing, Vol. 8, No. 1, pp 163-172, ( 2014). 

    100.  Feng Jiang, Xiaodong Ji, Chunjing Hu, Shaohui Liu and Debin Zhao, Compressed Vision Information Restoration Based on Cloud Prior and Local Prior[J]. Access,  IEEE, 2014, 2: 1117-1127. 

    101.  Nan Jiang, Hui You, Feng Jiang, Lingfeng Liu, Yueshun He. DCSH: Distributed Compressed Sensing algorithm for Hierarchical Wireless Sensor Networks, International Journal of Computers, Communications & Control, vol.9, no.4, pp. 425-433, 2014.

     

    2012

    102.  Xiaoyu Wang, Zhaoguo Wang, Deyun Chen+ and Feng Jiang*, A high throughput and memory-efficient regular expression matching on FPGA, Journal of Information and Computational Science, vol. 9, no. 6, pp: 1741-1748 (2012).

    103.  Xiaoyu Wang, Deyun Chen, Feng Jiang*, Xiangyang Cui+, Named Entity Recognition Based on Hierarchy Temporal Memory Model, Journal of Information and Computational Science, vol. 9, no. 6, pp: 1735-1740 (2012).

    104.  Shaohui Liu+, Yong Chen, Feng Jiang*, Hongxun Yao+, A New Steganographic Method Based on Equivalence Class Partition, Journal of Computational and Theoretical Nanoscience, vol. 9, no. 10, pp: 1757-1765 (2012). JCR 2

    105.  Shaohui Liu, Feng Jiang, Hongxun Yao and Debin Zhao+, An Image Data Hiding Method Using Pixel-Based JND Model, Advanced Intelligent Computing Theories and Applications, vol. 93, pp: 312-319 (2010).

    106.  Worku Jifara, Feng Jiang*, and Shaohui Liu, TPD-Net: Lung cancer detection from CT scan image via two path CNN, Measurement journal


会议论文

    1.Zhang, T., Cui, W., Liu, S., & Feng Jiang.. SC-HVPPNet: Spatial and Channel Hybrid-Attention Video Post-Processing Network with CNN and Transformer. IEEE International Conference on Multimedia and ExpoICME2024.

    2.Zhang, T., Cui, W., Hui, C., & Feng Jiang. Hierarchical Interactive Reconstruction Network for Video Compressive Sensing. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2023, 1-5.

    3.Chen Hui, Feng JiangShaohui LiuDebin Zhao: Source Camera Identification with Multi-Scale Feature Fusion Network. IEEE International Conference on Multimedia and ExpoICME 2022: 1-6

    4.Chen Hui, Shaohui Liu, Feng Jiang: Multi-Channel Adaptive Partitioning Network for Block-Based Image Compressive Sensing.  IEEE International Conference on Multimedia and ExpoICME 2022: 1-6

    5.Mengxuan Shao, Feng Jiang, Shaohui Liu, Kun Han, and Debin Zhao. Learning from Hindsight Demonstrations. In Proceedings of the 29th International Conference on Neural Information Processing (ICONIP) 2022.

    6.Mengxuan Shao, Feng Jiang, Shaohui Liu, Kun Han, and Debin Zhao. Hindsight Balanced Reward Shaping. In Proceedings of the 29th International Conference on Neural Information Processing (ICONIP 2022).

    7.Zhibo Liang, Shaohui Liu, Wuzhen Shi, Xingtao Wang, Feng Jiang. Small Object Recognition using a Spatio-temporal neural network. IEEE International Conference on Multimedia and ExpoICME 2021.

    8.Chunzhi Yi, Feng Jiang, Guangming Lu, Chifu Yang, Zhen Ding, Jianfei Zhu and Jie Liu. A Bipolar Myoelectric Sensor-Enabled Human-Machine Interface Based on Spinal Module Activation, IEEE International Conference on Robotics and Automation (ICRA), 2021

    9.Chen Hui, Shaohui Liu, Wenxue Cui, Jinghua Zeng, Feng Jiang, Debin Zhao. “Adaptive Flexible 3D Histogram Watermarking.” IEEE International Conference on Multimedia and Expo (ICME), 2021.

    10.W. Zhang, W. Cui, F. Jiang, C. Yang, and R. Li, “Protecting the ownership of deep learning models with an end-to-end watermarking framework,” in 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2021, pp. 76–82.

    11.Yaowei Li, Donghao Gu, Zhaojing Wen, Feng Jiang, Shaohui Liu, Classify And Explain: An Interpretable Convolutional Neural Network For Lung Cancer DiagnosisIEEE International Conference on Acoustics, Speech and Signal Processing ( ICASSP) 2020 

    12.Wenxue Cui, Shaohui Liu, Feng Jiang, Yongliang Liu, Debin Zhao, Multi-Stage Residual Hiding For Image-Into-Audio SteganographyIEEE International Conference on Acoustics, Speech and Signal Processing ( ICASSP)  2020

    13.Shuang Chen,JinpengWang, Feng Jiang, Chin-Yew LinImproving Entity Linking by Modeling Latent Entity Type InformationAAAI 2020

    14.Shuang Chen, JinpengWang, Xiaocheng Feng, Feng JiangEnhancing Neural Data-To-Text Generation Models with External Background KnowledgeProceedings of the 2019 Conference on Empirical Methods in Natural Language Processing

    15.Chunzhi Yi, Kai Yang, Feng Jiang, Chifu Yang, Compensate Exoskeleton’s Transmission Delay Full Kinetics Information. IEEE International Conference on Robotics and Automation (ICRA), 2020

    16.A super-resolution method of combined color image with depth map based on deep learning, in Proceedings of the 2020 International Conference on Cyberspace Innovation of Advanced Technologies, 2020, pp. 7–11

    17.W. Zhang, C.-f. Yang, F. Jiang ,A review of research on light visual perception of unmanned surface vehicles,” in Journal of Physics: Conference Series, vol. 1606, no. 1. IOP Publishing, 2020, p. 012022.

    18.W. Zhang, C.-f. Yang, F. Jiang, X.-z. Gao, and K. Yang, A water surface moving target detection based on information fusion using deep learning,” in Journal of Physics: Conference Series, vol. 1606, no. 1. IOP Publishing, 2020, p. 012020

    19.Xunfeng Yin, Chunzhi Yi, Feng Jiang, Chifu Yang, A Bipolar Myoelectric Sensor-Enabled Human-Machine Interface Based on Spinal Module Activation, Robotics: Science and Systems (RSS) 2020

    20.W. Zhang, C.-f. Yang, F. Jiang, X.-z. Gao, and X. Zhang, “Safety helmet wearing detection based on image processing and deep learning,” in 2020 International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 2020, 343–347

    21.Chunzhi Yi, Kai Yang, Feng Jiang, et al. Compensate Exoskeleton’s Transmission Delay: An Ahead-Of-Time Continuous Prediction Based On Electromyography. The 29th IEEE International Conference on Robot and Human Interactive Communication (ROMAN), 2020.

    22.Wuzhen Shi, Feng Jiang, Shaohui Liu, and Debin ZhaoScalable Convolutional Neural Network for Image Compressed SensingIEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2019.

    23.Donghao Gu, Zhaojing Wen, Feng Jiang, Shaohui Liu, Continuous Bidirectional Optical Flow For Video Frame Sequence Interpolation, IEEE International Conference on Multimedia and Expo (ICME) 2019

    24.Jianyu Wang, Shaohui Liu, Feng Jiang, A Video Post-Filter Deblocking Method Based On Temporal Boosting Residual Networks, IEEE International Conference on Multimedia and Expo (ICME) 2019

    25.Yibo Sun, Adil Khan, Kai Yang, Jiang Feng, Shaohui LiuPlaying First-Person-Shooter Games with A3C-Anticipator Network Based Agents using Reinforcement Learning The 5th International Conference on Artificial Intelligence and Security (ICAIS) 2019

    26.Wang Xiaowei, Jiaxin Xiong, Rui Wang, Worku Jifara, Jingtian Wang, and Shaohui Liu, “FS-Net: Medical image denoising via local receptive field smoothing network,” 4th IEEE International Conference on Data Science in Cyberspace (IEEE DSC 2019)

    27.Wuzhen Shi, Feng Jiang, Shaohui Liu, Debin Zhao:Multi-Scale Deep Networks for Image Compressed Sensing. IEEE International Conference on Image Processing (ICIP), 2018: 46-50

    28.Wenxue Cui, Heyao Xu, Xinwei Gao, Shengping Zhang, Feng Jiang, Debin Zhao, “An Efficient Deep Convolutional Laplacian Pyramid Architecture For CS Reconstruction At Low Sampling ratios,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018.

    29.Wenxue Cui, Shaohui Liu, Shengping Zhang, Yashu Liu, Heyao, Xu, Xinwei Gao, Feng Jiang, Debin Zhao, “Classification Guided Deep Convolutional Network for Compressed Sensing,” IEEE International Conference on Pattern Recognition (ICPR), 2018.

    30.Wenxue Cui, Feng Jiang, Xinwei Gao, Wen Tao, Debin Zhao, “Deep Neural Network based Sparse Measurement Matrix for Image Compressed Sensing,” IEEE International Conference on Image Processing (ICIP), 2018.

    31.Wenxue Cui, Feng Jiang, Xinwei Gao, Shengping Zhang, Debin Zhao, “An Efficient Deep Quantized Compressed Sensing Coding Framework of Natural Images,” ACM Multimedia (ACM MM), 2018 

    32.Zhao Y., Liu Y., Jiang F., Liu X., Zhao D. (2018) Fast Noisy Image Quality Assessment Based on Free-Energy Principle. In: Zhai G., Zhou J., Yang X. (eds) Digital TV and Wireless Multimedia Communication. IFTC 2017. Communications in Computer and Information Science, vol 815. Springer, Singapore

    33.Chunzhi Yi, Ningling Ma, Chifu Yang, Feng Jiang. A Novel Automatic Diagnosis Based Physical Therapy for Duchenne Muscular Dystrophy Children. 3rd IEEE International Conference on Data Science in Cyberspace, 2018.

    34.Chifu Yang, Kai Xing, Xueyan Ma, Kai Yang, Hao Guo, Chunzhi Yi, Feng Jiang. The Real Time Gait Phase Detection Based on Long Short-Term Memory, Zhen Ding, 3rd IEEE International Conference on Data Science in Cyberspace, 2018.

    35.Chenguang Li, Donghao Gu, Xueyan Ma, Kai Yang, Shaohui Liu, Feng Jiang:Video Frame Interpolation Based on Multi-scale Convolutional Network and Adversarial Training. 3rd IEEE International Conference on Data Science in Cyberspace,DSC 2018: 553-560

    36.Kai Xing, Zhen Ding, Shuai Jiang, Xueyan Ma, Kai Yang, Chifu Yang, Xiang Li, Feng Jiang: Hand Gesture Recognition Based on Deep Learning Method. DSC 2018: 542-546

    37.Yunsheng Fu, Fang Lou, Fangzhi Meng, Zhihong Tian, Hua Zhang, Feng Jiang:An Intelligent Network Attack Detection Method Based on RNN. DSC 2018: 483-489

    38.Hao Guo, Kai Yang, Xueyan Ma, Kai Xing, Xiaodong Xia, Chifu Yang, Chunzhi Yi, Feng Jiang, Prediction of Twist Angle for Assistive Exoskeleton Based on EMG Signals. 3rd IEEE International Conference on Data Science in Cyberspace, 2018.

    39.Jinzong Zheng, Feng Jiang, Chunzhi Yi, the optimum spring stiffness of the wearable exoskeleton, IEEE International Conference on Mechanical, Automotive and Materials Engineering 2018.

    40.Mohamed Hammad, Asmaa Maher, Adil Khan, Feng Jiang, Kuanquan Wang: Detection of Abnormal Heart Conditions from the Analysis of ECG Signals. BIOSIGNALS 2018: 240-247

    41.Xianyao Lv ; Chifu Yang ; Xiang Li ; Junwei Han ; Feng Jiang. Passive training control for the lower limb rehabilitation robot, 2017 IEEE International Conference on Mechatronics and Automation (ICMA2017).

    42.Wuzhen Shi, Feng Jiang, Debin Zhao. DEEP NETWORKS FOR COMPRESSED SENSING BASED IMAGE COMPRESSION. ICME 2017.

    43.Wen Tao,Feng Jiang, Wuzhen Shi, Jie Ren, Wangmeng Zuo, Debin Zhao  An End-to-End Compression Framework Based On Convolutional Neural Networks, Data Compression Conference (DCC) 2017

    44.Wenxue Cui, Feng Jiang, Tao Zhang, Shengping Zhang, Wangmeng Zuo, Debin Zhao Convolutional Neural Networks Based Intra Prediction for HEVC, Data Compression Conference (DCC) 2017

    45.Tao Zhang, Xiaopeng Fan, Ruiqin Xiong, Feng Jiang and Debin Zhao, Hybrid Intra Prediction Based on Local and Non-local Correlations, Data Compression Conference (DCC) 2017.

    46.Wuzhen Shi, Feng Jiang, Debin Zhao. Single Image Super-Resolution With Dilated Convolution Based Multi-Scale Information Learning Inception Module 24th IEEE International Conference on Image Processing (ICIP) 2017

    47.Khan Adil, Kai Yang, Yunsheng Fu, Fang Lou, Worku Jifara, Feng Jiang, Liu Shaohui A Competitive Combat Strategy and Tactics in RTS Games AI and StarCraft The Pacific-Rim Conference on Multimedia (PCM) 2017

    48. Worku J. Sori, Zhao Dongyang, Lou Fang, Fu Yusheng, Liu Shaohui, Feng Jiang, and Khan Adil Entropy Based Sub-Band Deletion for Multispectral Image CompressionThe Pacific-Rim Conference on Multimedia (PCM) 2017

    49.Moussa Amrani, Kai Yang, Dongyang Zhao, Xiaopeng Fan and Feng Jiang, An Efficient Feature Selection for SAR Target Classification The Pacific-Rim Conference on Multimedia (PCM) 2017

    50.Moussa Amrani Feng Jiang, Souleyman Chaib, and Ibrahim Omara   Bag-of-Visual-Words Based Feature Extraction for SAR Target Classification, 9th International Conference on Digital Image Processing (ICDIP)2017(2017)

    51.Maowei Cheng, Worku Jifara and Feng Jiang Recurrent Neural Network Based classification of ECG signal Features for Obstruction of Sleep Apnea Detection15th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC) 2017 (2017)

    52.Wuzhen Shi, Feng Jiang, Debin Zhao. IMAGE ENTROPY OF PRIMITIVE AND VISUAL QUALITY ASSESSMENT. 23th IEEE International Conference on Image Processing (ICIP), (2016)

    53.Wuzhen Shi, Congcong Chen, Feng Jiang, Debin Zhao, Weizheng Shen. GROUP-BASED SPARSE REPRESENTATION FOR LOW LIGHTING IMAGE ENHANCEMENT. 22th IEEE International Conference on Image Processing (ICIP), (2016)

    54.Worku J. Sori, Feng Jiang, Aleksei Grigorev, Shaohui Liu, Hyperspectral Image Compression Based On Online Learning Spectral Features Dictionary, NCMT 2016 (2016)

    55.Aleksei Grigorev, Feng Jiang, Worku Jifara, Shaohui Liu and Sergei Sai, Sequences –Based Learning Depth From A Single Monocular Images Using CNN, NCMT 2016 (2016)

    56.Nabin Kumar Karn, Feng Jiang, Improved GLOH Approach for One-Shot Learning Human Gesture Recognition, Chinese Conference on Biometric Recognition, 441-452 (2016)

    57.Feng Jiang, Xulin Wang and Debin Zhao+, From Relationship Between K-SVD and FOE to the Pursuit of Natural Images Space, 20th IEEE International Conference on Image Processing (ICIP), pp: 1021-1025 (2013).

    58. Wuzhen Shi, Boqi Chen, Feng Jiang, Debin Zhao Reference image based method of region of interest enhancement for Haze image, 22th IEEE International Conference on Image Processing (ICIP), pp: 1021-1025 (2015)

    59.Wenbin Che, Xinwei Gao, Xiaopeng Fan, Feng Jiang, Debin Zhao, Spatial-Temporal Recovery For Hierarchical Frame Based Video Compressed Sensing, 22th IEEE International Conference on Image Processing (ICIP), pp: 1021-1025 (2015)

    60.Feng Jiang, Shengping Zhang, Debin Zhao+ and S.Y. Kung+, Image Restoration via Multi-Prior Collaboration, Asian Conference on Computer Vision ACCV (2014).

    61.Qi Guo, Feng Jiang, Xiangyang Ji and S.Y. Kung, Efficient Divide-and-Conqueror Classification Based on Feature-Space Decomposition, 40th IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP, (2015).

    62.Feng Jiang, Yan Zhang, Jian Zhang and Debin Zhao, Image super-resolution based on dual- dictionary Sparse Representation, Symposium on Aerospace System Technique of China, pp: 1-6. (2015)

    63.Feng Jiang, Yan Zhang, Jian Zhang and Debin Zhao Review of Nature Image Prior Modeling and Multi-prior Collaboration, Symposium on Aerospace System Technique of China, pp: 1-6.(2015)

    64.Jian Zhang, Debin Zhao, Feng Jiang, Wen Gao*, Structural Group Sparse Representation for Image Compressive Sensing Recovery, Data Compression Conference (DCC), pp: 331-340, (2013).

    65.Jian Zhang, Debin Zhao+ and Feng Jiang, Spatially Directional Predictive Coding for Block-Based Compressive Sensing of Natural Images, 20th IEEE International Conference on Image Processing (ICIP), pp: 1021-1025 (2013).

    66.Min Gao, Xiaopeng Fan+, Debin Zhao+, Feng Jiang, Wen Gao, Estimation of end-to-end distortion of virtual view for error-resilient depth map coding, 20th IEEE International Conference on Image Processing (ICIP), pp: 1816-1820 (2013).

    67.Guochao Zhang, Shaohui Liu, Feng Jiang, Debin Zhao+, Wen Gao, An Improved Image Compression Scheme with an Adaptive Parameters Set in Encrypted Domain, IEEE International Conference on Visual Communications and Image Processing (VCIP), pp: 1-6 (2013).

    68.Xiaodan Du, Feng Jiang, Debin Zhao+, Multi-scale Face Hallucination Based on Frequency Bands Analysis, IEEE International Conference on Visual Communications and Image Processing (VCIP), pp: 1-6 (2013).

    69.Hongwei Guo, Feng Jiang, Debin Zhao+, Natural Images Scale Invariance and High-fidelity Image Restoration, IEEE International Conference on Visual Communications and Image Processing (VCIP), pp: 1-6 (2013).

    70.Shen Wu, Feng Jiang, Debin Zhao+, Shaohui Liu and Wen Gao, Viewpoint-independent hand gesture recognition system, IEEE International Conference on Visual Communications and Image Processing (VCIP), pp: 1-5 (2012).

    71.Shen Wu, Wenping Pan, Feng Jiang, Yang Gao, Debin Zhao+, A multiple-layered gesture recognition system for One-Shot Learning, International Conference on Pattern Recognition (ICPR) 2012 workshop, pp: 1-7 (2012).

    72.Gaoxiang Zhang, Feng Jiang, Debin Zhao+, Xiaoshuai Sun, Shaohui Liu, Saliency Detection: A Self-Adaption Sparse Representation Approach, Sixth IEEE International Conference on Image and Graphics (ICIG) 2011, pp: 461-465, (2011).

    73.Hong Yu, Feng Jiang and Debin Zhao+,  Compressed image restoration based on edge enhancement field of experts, IEEE International Conference on Visual Communications and Image Processing (VCIP), pp:203-209, (2010).

专利

    1.   基于惯性传感器的运动模式无关下肢动力学实时解算方法,丁振、马建涛、王志鹏、张浩、尹逊峰、姜峰、杨炽夫;专利号:CN 2020102375017专利类型:发明公开(授权)

    2.     一种基于惯性传感器的抗位置窜动关节角度解算实时方法,姜峰;衣淳植;杨炽夫;马健涛;丁振;魏柏淳;尹逊锋。专利号:CN202010117558.3专利类型:发明公开(授权)

    3.     一种无需标准矫正姿势的基于惯性传感器的人体动作采集方法,衣淳植;姜峰;杨炽夫;王学嘉;张龙海;张浩;李芳卓。专利号:CN202010117861.3专利类型:发明公开(授权)

    4.     一种人体运动信息及生理电信号采集系统及方法,王学嘉,姜峰,马建涛,衣淳植,李芳卓,杨炽夫;专利号:CN 2020102490405专利类型:发明公开(授权)

    5.     一种基于弹性绳的悬浮背包,张琦;衣淳植;张松涛。申请(专利)号:CN202310612288.7专利类型:发明公开(实质审查)

    6.     一种默念口令配置方法及装置、可穿戴设备,衣淳植;蒋永斌;姜峰;杨晖;朱剑飞;李鹏坤;魏柏淳;殷实;孙立峰;伍朝晖。申请(专利)号:CN202111630618.2专利类型:发明公开(授权

    7.     一种人体肌电信号直驱关节力矩映射方法,赵永恩;衣淳植;姜峰;杨炽夫。申请(专利)号:CN202111437003.8专利类型:发明公开(授权

    8.     面向人体复杂运动的运动模式预测及切换控制方法,CN202010245327.0 魏柏淳; 李芳卓; 王学嘉; 丁振; 衣淳植; 姜峰;杨炽夫; 专利类型:发明专利(授权)

    9.     一种基于肌电的人体运动意图实时连续预测方法,CN202010245346.3 魏柏淳; 姜峰; 郭浩; 李芳卓; 杨炽夫,专利类型: 发明专利(已公开)

    10.  一种膝关节等距肌力测试仪,尹逊锋、衣淳植、张龙海、姜峰、杨炽夫;专利类型: 新型2020204011364

    11.  一种拮抗式可变刚度膝关节外骨骼装置,张浩、尹胜君、姜峰、丁振、王志鹏、衣淳植、杨炽夫、张龙海;专利类型: 新型2020205437491

    12.  一种助力下肢多关节的踝关节外骨骼装置,张浩、尹胜君、姜峰、丁振、王志鹏、杨炽夫、张龙海;专利类型: 新型2020205442752

    13.  一种人体肌电信号直驱关节力矩映射方法,赵永恩、衣淳植、姜峰、杨炽夫;专利类型: 发明专利2021114370038(已公开)

    14.  钢卷端面质量检测系统及方法,郭浩、甦震、赵军、姜峰、安贺顺、杨涛、杨楠;专利类型:发明专利2022108017452(已公开)

    15.  一种清洁度检测设备定位机械结构,杜国铭、安贺顺、丁振、唐文健、姜峰,王凡;专利类型:发明专利2022108007677(已公开)

    16.  一种高炉泥炮加泥载重无人车的控制系统和控制方法,付胜勇、甦震、丁振、冯相印、姜峰、王聪渊;利类型: 发明专利2022108007662(已公开)

    17.  一种基于视觉检测的钢带自动牵引系统及其控制方法,姜峰、赵劲松、丁振 杜国铭;发明专利2022107207271(已公开)

    18.  图像处理方法、装置及计算机设备,惠晨、姜峰、曾吉申、杨锐、刘永亮;  CN114549892A 2022.

    19.  数据处理方法、装置、电子设备及存储设备,刘永亮、惠晨、姜峰; CN113395475A2021.

    20.  数据处理方法、图像处理系统的训练方法及电子设备,曾吉申、惠晨、姜峰、杨锐; CN115170929A 2022.

    21.  图像处理方法、装置、设备、存储介质和程序产品,刘天鸿、崔文学、惠晨、姜峰、高莹、谢绍伟、吴平; CN116958759A 2023

    22.  一种基于深度学习的端到端司法文书自动校对方法;朱海麒、姜峰:中国,申请号2020107516558. CN111985220A

    23.  一种融合单语数据的文本语法错误纠正方法,朱海麒、白明骏、姜峰:中国,申请号202010751644X.

    24.  一种基于生成对抗网络的司法文书自动校对方法,朱海麒、姜峰:中国,申请号2020107503191. CN111985218A

    25.  一种热轧生产线钢带首端抓取装置,杨乃辉,王博,吴影亮,安成龙,庞瑞勇,王军,赵劲松,丁振,姜峰;CN218361337U 实用新型

    26.  一种热轧生产线钢带牵引装置及传送装置,姜峰,赵劲松,丁振,杨乃辉,王博,安成龙;CN218743956U 实用新型

    27.  一种伸缩驱动装置以及机械手装置,杨乃辉,王博,安成龙,吴影亮,庞瑞勇,王军,丁振,赵劲松,姜峰,潘建宾;CN218361332U 实用新型

    28.  一种热轧钢带打包系统,CN218537212U,王博,杨乃辉,庞瑞勇,安成龙,吴影亮,王军,丁振,姜峰,赵劲松,张海龙;实用新型

    29.  钢带抓取机械手,CN218532334U,姜峰,丁振,赵劲松,杨乃辉,王博,柏洪升,吴影亮;实用新型

    30.  一种热轧生产线钢带导入结构,CN218401314U,吴影亮,安成龙,杨乃辉,王博,柏洪升,庞瑞勇,王军,赵劲松,丁振,姜峰;实用新型

    31.  Hongxun Yao, Wen Gao, Feng Jiang, Yongliang Liu and Shaohui Liu, A Robust Watermarking Authentication Method, China Patent, No: 02132598.7

    32.  Debin Zhao, Xiaoming Li, Shaohui Liu and Feng Jiang, Image Brightness Compensation and Video Coding Method, China Patent, No: 200910073397.6


教材

    1 The Springer Series on Challenges in Machine Learning:Gesture recognition. ISBN 978-3-319-57021-1 (2017)

    2《计算机视觉:运动分析》,姜峰, 刘绍辉,张盛平,杨炽夫,张健,哈尔滨工业大学出版社, I S B N:978-7-5603-7036-1 (2018)

    3《计算机视觉》,刘绍辉, 姜峰编著 出版社: 电子工业出版社 CIP号:2018259596书号:978-7-121-35548-6出版地:北京出版时间:2018.12

    4  Numerical Analysis with MATLAB, Tsinghua University Publishing, ISBN:9787302290698.


科研项目

    1.  中央支持地方重点项目,人机交互关键技术及装备,2024/10-2026/10,主持。


    2.    ***,***人体运动意图感知  (一期),主持.


    3.    ***,***人体运动意图感知,(二期),主持.


    4.    ***,***集群策略和效能研究,任务负责人。


    5.    ***,*******多智能体强化学习方法研究,主持。


    6.    ***,生理机能强化*******,主持。


    7.    国家自然科学基金,62076080、人体运动意图感知及适配增强人机交互研究,2021/01-2024/12,主持。


    8.    国家自然科学基金,61572155、视觉判别先验建模及面向识别理解的视频编码研究,2016/01-2019/12,主持。


    9.    国家自然科学基金,61100096、基于视觉先验建模的压缩视频表示与重建方法研究、2012/01-2014/12、主持。


    10. 国家重点研发计划,SQ2018YFC0806802,项目:刑事执行监督控制技术研究,课题2:刑事执行监督多源异构信息自动提取、分析匹配和信息交换关键技术与装备,项目骨干


    11. 国家重点研发计划,项目:智慧司法智能化认知技术研究,课题5:面向司法文书的内容质量智能检测技术研究及系统研发,2018YFC0832105,课题负责人


    12. 国家重点研发计划,项目:基于多元关联分析的大数据法律监督关键技术研究(2022YFC3301800),项目骨干


    13. 国家973计划,2009CB320905、分布式多视点视频编码方法、2009/01-2013/12、已结题、第二参与人。


    14. 中国航空工业集团公司成都飞机设计研究所,群体博弈学习算法及效能研究, 2023/02-2024/02,主持。


    15. 建龙集团黑龙江石油管线高通量高精度检测系统, 2023/12-2024/12,主持。


    16. 建龙集团冶金工业机器人项目,2021/02-2021/11,主持。


    17. 淘宝(中国)软件有限公司,多场景下的图像视频翻拍检测,2021/02-2021/11,主持。


    18. 河钢集团,冶金工业机器人重大项目(一期,高炉泥炮自动加泥机器人、炼钢一键脱硫、冷轧入口步进梁智能钢卷机器人识别系统、冷轧自动打磨判定识别机器人),2020.10-2021.10主持。


    19. 河钢集团,冶金工业机器人重大项目(二期),2022.06-2023.12主持。


    20. 建龙集团,热轧管线管检及自动打磨系统, 2022.01-2024.01,主持。


    21. 基于机器视觉识别智能制造项目,黑龙江省科技攻关, 2022.09.01 - 2024.08.31 ,主持。


    22. 阿里巴巴(中国)网络技术有限公司,图像来源识别与截屏图像篡改定位, 2021/02-2021/11,主持。


    23. 传播内容认知国家重点实验室,人民网股份有限公司,主持。


    24. 中国航空工业集团公司成都飞机设计研究所,编队空战博弈强化学习算法研究, 2021/02-2021/07,主持。


    25. 华为技术有限公司,基于耳部肌电的头戴耳机默念操控技术, 2021/03-2021/12,主持。


    26. 电镀生产线生产调度算法研究,深圳市玄羽科技有限公司,2021/03-2021/12,主持。


    27. 基于深度学习的视频编码技术研究及标准化,2019ZTE05-01,中兴通讯,2019/01-2020/12,主持。


    28. 多智能体协同在线智能规划决策技术研究,二院,2019/09-2020/09,主持。


    29. 基于多线索联合表示及区分分性学习的目标跟踪研究(Multi-cue Joint Representation and Discriminative Learning for Object Tracking in Camera Intelligence),微软亚洲研究院,2016/09-2017/12、主持。


    30. 高精度跟瞄图像处理技术,中国电子科技集团公司第二十七研究所, 2017/07-2018/07,主持。


    31. 国家自然基金面上项目,61272386、基于稀疏表示的图像视频增强表达和高效编码、2013/01-2015/12、已结题、第二参与人。


    32. 国家自然基金面上项目,61133003、面向公共安全的多源异构数据融合的群体行为分析与挖掘、2012/01-2014/12、已结题、参与。


    33. 国家自然基金面上项目, 60775024、基于空间关系的多摄像机3D目标跟踪、2008/01 -2010/12、已结题、参与。


    34.   国家自然基金面上项目,基于深度学习的图像视频数据高效表示与重建方法研究,2018/01 -2021/12,主持。


    35. 资产及群组自动识别技术研究2018,中国工程物理研究院,主持。


    36.  基于深度学习的高效视频编码研究,哈尔滨工业大学科研创新 基金,2018,主持


    37. 据检测及根因定位系统,孟马科技有限公司2018,主持


    38. IT自动化运维系统项目研究开发,北京东方龙马软件发展有限公司,2018,主持


    39.  IT运维数据人工智能分析项目研究开发,孟马科技有限公司 2018,主持


+137

姜峰

个人信息

  • 教师姓名: 姜峰
  • 性别:
  • 所在单位: 人工智能学院(未来技术学院、人工智能产业学院)
  • 联系方式: fjiang@nuist.edu.cn

其他联系方式

  • 传真: 025 5873 1687
  • 通讯/办公地址: 南京信息工程大学 临江楼 1705
  • 办公室电话: 58731687
  • 邮箱: fjiang@hit.edu.cn

最后更新时间:2022-12-29

 

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    • 2019 南京信息工程大学·网络信息中心 NUIST备80008