姜峰科研成果

基本信息 学术部 工程部 教育教学 论文发表 团队链接 News 博硕毕业生 ... 团队链接 News 博硕毕业生 新建主栏目 招生&招聘信息 名称 研究方向： 人工智能、计算机视觉、智能人机工程 欢迎通过以下渠道报考本人名下硕博研究生： 哈工大计算学部、哈工大郑州研究院 团队优势： 联合团队主体由计算机科学与技术、机电工程、生物医学工程多学科教师与研究生构成，为学生与青年教师团队准入提供更多机会与选择；团队下设学术部与工程部，聚焦前沿科学问题与尖端装备工程问题，团队为学生与青年教师个性发展与优势定位提供更多可能与组合；团队长期探索形成的多学科深度交叉融合特色，提供多维度平台，助推学生与青年教师释放潜能。 欢迎加盟团队： 准聘教授、拔尖副教授、助理教授、师资博士后、实验室工程师。 可选择以下部门加盟团队： 本部计算学部、本部医学与健康学院、哈工大郑州研究院、哈工大国家机器人创新中心 基本信息 名称 教授，哈工大计算学部博士生导师，计算机科学与技术研究所群体智能与人机工程研究室主任；医学与健康学院博士生导师，副院长，智能医学工程团队负责人；哈工大郑州研究院智能医学工程团队、哈工大国家机器人创新中心人机智控团队负责人。分别于2001年、2003年和2008年在哈尔滨工业大学获得计算机科学与技术专业工学学士、工学硕士和工学博士学位，是University of Nottingham荣誉教授、IEEE哈尔滨信号处理分会主席、黑龙江省人工智能协会青委会副主席、黑龙江VR科技学会常务理事、黑龙江VR联盟首席专家、中国工程物理研究院特聘专家。主要研究兴趣包括人工智能、人机交互、计算机视觉，发表JMLR，IEEE TIP、IEEE TCSVT、IEEE TSUSC、IEEE TMM，IEEE TCDS，IEEE TII，IEEE T INTELL TRANSP, IEEE T INSTRUM MEAS , IEEE Syst J, IEEE JSTARS , ACM TOMM等国际期刊和CVPR、AAAI、ACM MM，DCC，ACCV等会议论文150余篇, 其中第一作者发表30余篇，单篇引用最高300余次，出版中文、英文专著和教材4部，获专利20余项。第一负责人主持国家重点研发项目课题、国家自然基金、部委、国企工业生产线升级改造重大项目、国企装备制造等20余项科研项目。获省部级科技进步二等奖2次（排名第1、排名第2）、省部级自然科学二等奖1次（排名第2）、省高校科技奖一等奖，搜狐图文匹配大赛全国总冠军、ChaLearn Gesture识别挑战赛国内第一等荣誉。曾讲授数字图像处理、多媒体技术、数据压缩、计算机视觉、大数据算法等研究生课程和本科生课程；承担哈尔滨工业大学首批全英文课程，“与国际高水平学者共建研究生课程”共建负责人及主讲；受邀讲授意大利PAVIA大学计算机视觉研究生课程。指导学生多次获哈工大百优、英才学院十佳、蓝桥杯全国软件大赛一、二等奖。 联系方式 名称 电 话： 0451 86403963 E-mail: fjiang at hit.edu.cn 荣誉称号&奖励 名称 2021年，人体运动意图感知外骨骼机器人适配增强技术及应用，黑龙江省科技进步二等奖，排名第1，黑龙江省 2019年，视觉特征的有效表示与学习，黑龙江省自然科学二等奖，排名第2，黑龙江省 2016年，卫勤系列机器人关键技术及应用研究，部级科学技术进步二等奖，排名第2 2019年，首届“龙江最美科技工作者” 提名，黑龙江省委 2017年，江苏省双创大赛二等奖，排名第1，江苏省 教育经历 名称 2003/09-2008/08，哈尔滨工业大学，计算机学院，博士 导师 高文 2001/09-2003/07，哈尔滨工业大学，计算机学院，硕士 导师 姚鸿勋 1997/09-2001/07，哈尔滨工业大学，计算机学院，学士 工作经历 名称 2021/10-至今 哈尔滨工业大学，医学与健康学院，副院长 2021/10-至今 哈尔滨工业大学，医学与健康学院，博士生导师 2020/06-至今 哈尔滨工业大学，计算机学院计算机科学与技术研究所群体智能与人机工程研究室，主任 2019/03-至今 哈尔滨工业大学，国家机器人创新中心，人机智控团队负责人 2019/03-2020/01 美国普林斯顿大学，电子工程系，访问学者 2018/01-至今 哈尔滨工业大学，计算机学部，教授 2015/05-至今 哈尔滨工业大学，计算机学部，博士生导师 2012/03-2015/05 哈尔滨工业大学，计算机学院，硕士生导师 2013/10-2014/10 美国普林斯顿大学，电子工程系，访问学者 2011/10-2017/12 哈尔滨工业大学，计算机学院，副教授 2007/07-2020/05 哈尔滨工业大学，计算机学院智能接口与人机交互中心，支部书记 2005/10-2011/10 哈尔滨工业大学，计算机学院，讲师 2003/05-2005/10 哈尔滨工业大学，计算机学院，助教 主要任职 名称 University of Nottingham 荣誉教授 IEEE Signal Processing Society Harbin Chapter, 主席 多模态重大慢病防控科学与工程工业和信息化部重点实验室 副主任 黑龙江省人工智能协会青委会副主席 人工智能协会人机混合智能专委会委员 中国工程物理研究院特聘专家 河钢哈工大研究院智能装备研发中心主任 建龙阿钢哈工大钢轧智能制造产业技术研究院负责人 黑龙江VR产业联盟首席专家 黑龙江VR科技学会 常务理事 Journal of Signal Processing Systems，Springer， Associate Editor 智能系统学报等中文核心期刊 编委 多任国际会议 领域主席 学术部简况 名称 学术部由计算机科学与技术、机电工程、生物医学工程多学科教师与研究生构成，旨在研究创新可以打开领域的局限，以跨学科的方式促使多学科背景研究生携手解决前沿科学问题。研究部提供理论与务实互动的环境，培养学生特别是高年级研究生在掌握本学科思维的前提下，练就从多视角对科学问题的深刻理解，并强化在相关领域的研究能力与经验。研究团队运用哈工大计算机科学与技术、机电工程、生物医学工程学科及其附属丰富的教学与研究资源，训练未来视野全面、思维宽广的科学家与高水平研究者。 研究方向： 机器学习与人工智能 先进人机交互与人机工程 脑科学仪器装备及脑功能干预 认知智能&群体智能 Low-level CV &自然图像先验模型 ……… 先进人机交互与人机工程 (方向招收多学科背景博士硕士研究生) 名称 培养目标：未来人机交互领域科学家、人机工程领域总师 哈工大人机交互方向创始人：高文院士。 团队人机交互成员一直围绕人机交互，哈工大传统优势方向开展研究至今。 2014年校内多学科资源整合，布局先进人机交互与人机工程方向，在此方向凝聚了优势团队，承担了多项国家级、国家重大决策的先进人机交互项目与任务，获得多项省部级奖励。 人机交互是人工智能的关键核心技术，与国民经济发展有直接联系，是使信息技术融入社会、深入群体，达到广泛应用的技术门槛。哈工大是国内最早开展智能人机交互研究机构之一，哈工大计算学部在人机交互方向有光荣的历史、深厚的积累、丰硕的成果。近年来，人机交互技术从内涵到外延均有较大、较快发展，已成为计算机科学、机器人学、生理学等多学科研究的交合点及发力点。 脑科学仪器装备及脑功能干预（方向招收多学科背景硕士博士研究生） 名称 培养目标：未来脑科学领域科学家、脑机装备工程领域总师 观测脑，认识脑，保护脑，干预脑； 从计算层面的功能模拟到系统神经层面的机理测试与发现； 从传统工程技术实现与优化到科学问题定位与解决； 筚路蓝缕，计算机科学与技术、生物医学工程、机电工程多学科融合与积累；积跬步以行千里，为学生铺就从工程师迈向科学家的道路。 在脑科学仪器装备方面，重点研究侵入式阵列脑电电极植入与信号采集技术，研制多模态影像融合的脑区自动定位、视觉导航的组织精细穿刺、锋电位分类与特定神经元定位追踪、基于信号质量与定位的植入效果反馈与参数适配等关键技术，开发电极植入与信号采集分析协同的侵入式脑电实验系统，开展工程转化与临床测试，实现侵入式脑电植入与信号采集技术完整技术体系。 在脑功能干预层面，重点研发侵入式脑认知功能多模态干预技术，以动物实验与人体实验相结合、行为学与生理生化数据相结合的研究手段，从细胞分子到体行为等不同尺度开展系统研究，获取认知能力的时变规律及差异分析；探索脑结构、神经环路、以及皮质灰质等结构与功能的自适应变化与机制；研究大脑信息传递与大脑协同的生物学和神经机制，绘制多尺度微重力特有环境下认知行为相关的脑功能图谱；通过典型认知任务下认知行为的变化，建模行为内在变量与脑功能及神经活动关联，探索脑认知的基本原理。从神经环路、脑区核团、神经生理等层面探索巩固记忆和潜意识植入等的维持和增强认知能力的原理和理论，揭示其作用机制。研制非侵入式物理刺激和包含行为训练的干预工具集，采取特定干预下人体非侵入式观测与动物侵入式精准观测联合分析的方法，探索维持和增强认知能力的神经生物学原理。基于动物模型的机制研究，探索有效提升脑力作业能力的基因、分子机制等。 认知智能&群体智能（方向招收计算机和数学学科背景硕士博士研究生） 名称 培养目标：未来认知智能领域科学家、群体智能工程领域总师 高动态、不确定、资源受限、环境复杂：复杂的系统工程 高质量传感数据处理、共享及多源信息融合技术，提升无人集群系统的分布式态势感知能力； 无人集群系统的通用/开放式信息体系架构，提升无人集群系统的场景适应能力和异构无人自主系统间的互操作能力； 研究可引导、可信任、可进化的集群无人系统规划、决策与控制技术，提升无人集群系统的鲁棒性和智能化水平。 博弈与对抗是群体智能的重要功能与表现形式，从推动新一代人工智能发展、支撑国家重大战略决策从容应对国际危机角度，全面掌握面向博弈与对抗的群体智能理论与技术体系，有效提升群体智能的对抗博弈能力，具有重大理论与现实意义。群体智能作为认知智能高级形式，其潜在应用具有面向高动态、不确定、资源受限、复杂环境下的系统工程内涵属性。重点研究针对多智能体强化学习中状态和动作空间大，设计高效多智能体强化学习训练算法，突破高动态对抗环境下群体智能学习面临的学习要素改变、学习模型时效性弱、群体智能量化度量等难题；研究对抗目标非透明情况下全局态势的分布式生成方法及对抗目标意图快速辨识，形成自主智能集群协同状态感知、态势评估及预测方法，构建群体智能迭代与进化。 DARPA在人工智能领域正在和计划开展研究项目 Low-level CV &自然图像先验模型（招收计算机与数学背景博士研究生） 名称 培养目标：未来可解决Low-level计算视觉核心问题的领域科学家 理论证明自然图像先验建模早期相对独立的两大流派视觉信息稀疏表达先验与滤波器响应视觉先验内在的本质关联（2016）； 在与包括Google、Twitter等众多高校、机构同起跑线的竞争中，率先实现了新型编解码架构并大幅提升了压缩比，视觉压缩领域第一篇基于深度学习的视觉信息数据压缩期刊文章（2017）； 发表领域顶会，视觉压缩领域第一个基于深度学习的新型视频压缩编码框架工作（2017）； 视觉信息压缩感知研究，在重构图像质量与计算效率方面，持续5年刷新视觉信息压缩感知领域算法榜首（2018-2022）； 我们所存在的客观世界是具有规律性的，这同样适用于自然界中的图像。生物体对视觉信息的处理与认知不仅依赖于视觉信息本身，更依赖于视觉先验：即大脑所归纳与记忆的有关自然图像的一般性规律。我们将自然图像和视频中与人脑视觉先验信息相对应的一般性规律统称为自然图像先验信息，其很好地模拟了大脑系统的归纳与记忆能力。在生物体的认知过程中，大脑中视觉先验起着至关重要的作用，同时也是认知心理层面、系统神经层面与计算视觉层面研究的交合点。自然图像先验信息形式化及其计算方法是低层计算视觉领域的基本问题，其核心任务是建模大量的视觉先验知识：表达的知识和计算的知识。以表达知识（模型）为指导，约束图像处理问题的解空间以得到满足人类视觉感知的图像；计算知识（模型），面向计算层面视觉信息分析与理解的需求，总结与归纳视觉信息中具有判别功能的成分或特征的规律性，为视觉信息分析与编码互相支持提供条件与可能。随着神经科学、脑科学、视觉心理学等相关领域的发展，融合视觉先验模型与知识学习的低层计算视觉方法与应用已成为计算视觉领域的根本支点之一。 工程部简况 名称 工程部由计算机科学与技术、机电工程多学科教师与研究生构成，旨在以跨学科的方式促使多学科背景研究生，特别是硕士研究生携手解决尖端装备工程问题。工程部提供务实互动与工程实训的环境，面向科技进步，面向智能装备制造，面向先进的工业智能控制器、智能装备、智能管理与运维系统，研发首台、首套、首型号。研究团队运用哈工大计算机科学与技术、机电工程学科及其附属丰富的项目与研究资源，来训练未来视野全面、项目组织规划能力强的工程总师和顶级工程师。 工程方向： 工业先进智能装备设计与制造 生物医学人机系统工程 计算机视觉智能系统工程 ……… 工业先进智能装备设计与制造 （方向招收多学科背景硕士研究生） 名称 培养目标：规格严格、文武兼备的工业智能装备与系统总师 面向科技进步，面向智能装备制造，面向先进的工业智能控制器、智能装备、智能管理与运维系统，研发首台、首套、首型号。 生物医学人机系统工程（方向招收多学科背景硕士研究生） 名称 培养目标：未来生物医学人机系统工程领域总师 面向科技进步，医学与健康方向研究突破的工程化落地实现 2016 卫勤系列机器人关键技术及应用研究 部级科技进步二等奖 2021 人体运动意图感知外骨骼机器人适配增强技术及应用 黑龙江省科技进步二等奖 利用人机系统提高人体的运动与机动能力一直是科学发展的主要研究方向之一。作为计算机科学、机器人学、人体运动学、生理学等多学科研究的交合点，人机系统涉及各个层面研究的理解与综合。人体运动意图预测及适配增强人机交互，是实现人机协调控制、高效耦合的核心基础。该项研究在理解与总结人体运动功能原理、内在生理电信号与外在人体运动关联规律的基础上，完成以下目标：在意识感知预测研究方向，研究sEMG信号人体运动学信息的分析与挖掘、基于sEMG信号的人体运动意图实时解码等科学问题；剖析人体运动规律，研究复杂运动下人体动力学建模和运动功能相位划分及判别方法，为人机系统控制策略提供科学模型及理论支持。以此为基础，面向现代人机系统的典型代表外骨骼，设计出全新的可满足复杂运动模式及环境要求，基于sEMG信号与本体感觉多源信息的上层控制策略；进一步研究人体代谢率消耗建模方法，建立系统功能评价反馈机制，以强化学习等方法为手段，研究外骨骼人机系统适配优化。最终综合以上，实现可适应复杂环境与高机动需求的验证原型系统，构建人体运动意图预测及人机系统适配增强技术体系，为新一代人机交互及人机系统实际应用奠定理论基础，提供范例。 计算机视觉智能系统工程（方向招收各学科背景硕士研究生） 名称 培养社会和行业最需要类型的智能和计算视觉人才 实验室专硕阶段完成智能系统工作（部分） 视觉控制器 智能化运维（AlOps） 智能医学诊断及决策 特种视觉测量系统平台 空基视觉智能分析 空基多源图形图像分析 图像来源识别与截屏图像篡改定位 讲授课程 名称 曾讲授数字图像处理、多媒体技术、数据压缩、计算机视觉、大数据算法等研究生课程和本科生课程；承担哈尔滨工业大学首批全英文课程，“与国际高水平学者共建研究生课程”共建负责人及主讲；受邀讲授意大利PAVIA大学计算机视觉研究生课程。指导学生多次获哈工大百优、英才学院十佳、蓝桥杯全国软件大赛一、二等奖。 Computer Vision, Teaching Harbin Institute of Technology (January 2008 – present) . Low-level vision, image formation, stereo, 3D reconstruction, motion analysis and visual tracking, image/motion segmentation, object detection and recognition, human motion analysis, pattern recognition and statistical learning. Digital Image Process, Teaching Harbin Institute of Technology (January 2005 – 2018). Multi-Media, Teaching Harbin Institute of Technology ( 2007 – 2009). Data Compression, Teaching Harbin Institute of Technology . 我的老师和我和我的学生 名称 期刊文章 名称 1. 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 https://ieeexplore.ieee.org/document/7999241/citations#citations 2. Feng Jiang, Shengping Zhang%2B, Shen Wu, Yang Gao and Debin Zhao%2B, Multi-layered Hand Gesture Recognition with Kinect, Journal of Machine Learning Research, vol. 16, no.2 (2015). 387-416 3. 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 4. 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 https://link.springer.com/article/10.1007%2Fs11554-016-0620-0 5. 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 https://link.springer.com/article/10.1007%2Fs00521-017-3158-6 6. Feng Jiang, Seungmin Rho%2B, Bo-Wei Chen, Xiaodan Du and Debin Zhao%2B, Face hallucination and recognition in social network services, Journal of Supercomputing, 2015, Vol. 71, no.6, pp 2035-2049 (2015). 7. Feng Jiang, Bo-Wei Chen, Kun Li and Debin Zhao%2B, 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 (2014). 8. Feng Jiang, Shen Wu, Yang Gao and Debin Zhao%2B, Viewpoint-Independent Hand Gesture Recognition With Kinect, Signal, Image and Video Processing, Vol. 8, No. 1, pp 163-172, ( 2014). 9. 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, 2021. 10. 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 . 11. 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, 29 12. 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. 13. 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 14. 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. 15. 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. 16. Aleksei Grigorev, Shaohui Liu, Zhihong Tian, and Feng Jiang. 2020. Delving Deeper in Drone-Based Person Re-Id by Employing Deep Decision Forest and Attributes Fusion. ACM Trans. Multimedia Comput. Commun. Appl. 16, 1s, Article 25 (April 2020), 15 pages. https://doi.org/10.1145/3360050 17. 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, doi: 10.1109/TCSVT.2021.3071461. 18. 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. 19. Wuzhen Shi, Feng Jiang, Shaohui Liu, Debin Zhao. Video Compressed Sensing using Convolutional Neural Network,IEEE Transactions on Circuits and Systems for Video Technology,2021, Volume: 31, Issue:？2, pp: 425-438 20. 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). 21. 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. https://ieeexplore.ieee.org/document/8076837 22. 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. 23. 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). 24. 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://ieeexplore.ieee.org/document/7961242 25. 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. https://ieeexplore.ieee.org/document/7293604 26. 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 Sensing,IEEE JSTARS, 2018 Volume: 11 , Issue: 10 , Oct. 2018 27. Bo-Wei Chen, Wen Ji, Feng Jiang, QoE-Enabled Big Video Streaming for Large-Scale Heterogeneous Clients and Networks in Smart Cities, IEEE ACCESS. 2016 28. 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 29. Chunzhi Yi, Feng Jiang, Chifu Yang, Zhiyuan Chen,Zhen Ding and Jie Liu. Reference Frame Unifification of IMU-Based Joint Angle Estimation: The Experimental Investigation and a Novel Method[J]. Sensors, 2021, 21(5): 1813. 30. Feng Jiang, Yang Gao, Shaohui Liu%2B and Debin Zhao%2B, Discriminating Features Learning in Gesture Classification, IET Computer Vision, Vol. 9, No. 5, pp: 673-680 (2015). 31. 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. 32. Feng Jiang, Chunwei Lin%2B, 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). 33. Amrani Moussa, Feng Jiang; Deep Feature Extraction and Combination for SAR Target Classification, Journal of Applied Remote Sensing, 11(4),2017 34. 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. 35. Benassou S N, Shi W, Jiang F, et al. Hierarchical complementary learning for weakly supervised object localization[J]. Signal Processing: Image Communication, 2021. 36. Shaohui Liu, Feng Jiang, Hongxun Yao and Debin Zhao%2B, An Image Data Hiding Method Using Pixel-Based JND Model, Advanced Intelligent Computing Theories and Applications, vol. 93, pp: 312-319 (2010). 37. 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 38. Aleksei Grigorev, Feng Jiang, Worku J. Sori, Rao Zhang and Shaohui Liu, Depth estimation from single monocular images using deep hybrid network, 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 39. Worku Jifara,Feng Jiang, B Zhang , H Wang, J Li, Shaohui Liu, Hyperspectral Image Compression Based On Online Learning Spectral Features Dictionary 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 40. 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 https://link.springer.com/article/10.1007/s11227-017-2080-0 41. 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. 42. 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 43. 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 https://www.sciencedirect.com/science/article/pii/S0141933116300278 44. 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. 45. 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 https://www.sciencedirect.com/science/article/pii/S0925231216000990 46. 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. 47. 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 Mathematics（2016） 48. Xiaoyu Wang, Zhaoguo Wang, Deyun Chen%2B 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). 49. Xiaoyu Wang, Deyun Chen, Feng Jiang, Xiangyang Cui%2B, Named Entity Recognition Based on Hierarchy Temporal Memory Model, Journal of Information and Computational Science, vol. 9, no. 6, pp: 1735-1740 (2012). 50. 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). 51. 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) 52. 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) 53. 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), 2018. (SCIE, IF'16=1.530) (ISSN: 1380-7501 ) 54. 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 http://www.mdpi.com/2071-1050/10/6/1865/pdf 55. 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. 56. 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 (2018).https://doi.org/10.1007/s11042-018-6161-8 57. 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 58. 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 59. Wuzhen Shi,Shaohui Liu,Feng Jiang, Anchored Neighborhood Deep Network for Single Image Super-Resolution" EURASIP Journal on Image and Video Processing. DOI：10.1186/s13640-018-0269-7 2018 60. Nabin Kumar Karn, Hongli Zhang, Feng Jiang: User-Perceived Quality Aware Adaptive Streaming of 3D Multi-View Video over the Internet, MTAP, JCR22018, Volume 77, Issue 17, pp 22965–22983 https://link.springer.com/article/10.1007%2Fs11042-018-5744-8 61. Worku Jifara Sori, Feng Jiang, Shaohui Liu, Multi-path convolutional neural network for lung cancer detection, Multidimensional Systems and Signal Processing, 23 November 2018 https://link.springer.com/article/10.1007%2Fs11045-018-0626-9 62. Worku Jifara, Feng Jiang*, and Shaohui Liu, TPD-Net: Lung cancer detection from CT scan image via two path CNN, Measurement journal 63. 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. 64. 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, 2018; 10: 2031–2046. 65. 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 2018, Volume 77, Issue 22, pp 29779–29797 66. 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. 67. 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. 2018 68. 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. 69. 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. 70. Worku Jifara, Feng Jiang, and Shaohui Liu, “Efficient deep feature fusion with multi path CNN for Lung cancer detection,” submitted to Multimedia Tools and Applications Journal 71. Worku Jifara, Feng Jiang, and Shaohui Liu, “TPD-Net: Lung cancer detection from CT scan image via two path CNN,” submitted to Measurement journal. 72. 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) 73. 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. 74. Benassou Sabrina Nariene, Wuzhen Shi, Feng Jiang, Entropy Guided Adversarial Model for Weakly Supervised Object Localization, Neurocomputing, 2021. 75. 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, 1-10. 76. 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. (SCIE, IF'18=1.894) (DOI: 10.1007/s11760-020-01651-1) (ISSN: 1863-1711) 77. 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, 1-13. 78. 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). 中文期刊 名称 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，2019年1月 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, 第 13 卷第 6 期, 2018, DOI: 10.11992/tis.201804063 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. 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. 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. 徐蓉, 姜峰*, 姚鸿勋. "流形学习概述." 智能系统学报 1.1(2006):44-51. 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年 01期 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 教材专著 名称 The Springer Series on Challenges in Machine Learning：Gesture recognition. ISBN 978-3-319-57021-1 (2017) 《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） 《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 Numerical Analysis with MATLAB, Tsinghua University Publishing, ISBN：9787302290698. 会议文章 名称 Yaowei Li, Donghao Gu, Zhaojing Wen, Feng Jiang, Shaohui Liu, Classify And Explain: An Interpretable Convolutional Neural Network For Lung Cancer Diagnosis， ICASSP 2020 Wenxue Cui, Shaohui Liu, Feng Jiang, Yongliang Liu, Debin Zhao, Multi-Stage Residual Hiding For Image-Into-Audio Steganography，ICASSP 2020 Shuang Chen, JinpengWang, Xiaocheng Feng, Feng Jiang，Enhancing Neural Data-To-Text Generation Models with External Background Knowledge，Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing Shuang Chen,JinpengWang, Feng Jiang, Chin-Yew Lin，Improving Entity Linking by Modeling Latent Entity Type Information，AAAI 2020 Chunzhi Yi, Kai Yang, Feng Jiang, Chifu Yang, IMU-based Motor Intent Decoding With Full Kinetics Information. IEEE International Conference on Robotics and Automation (ICRA), 2020, Workshop on “Integrating Multidisciplinary Approaches to Advance Physical Human-Robot Interaction” (Poster %2B Oral Presentation) (CCF B) 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), Workshop on “AI & Its Alternatives in Assistive & Collaborative Robotics: Decoding Intent” (Poster %2B Oral Presentation) 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), Workshop on “4th Workshop on Behavior Adaptation, Interaction and Learning for Assistive Robotics”, 2020. (Poster %2B Oral Presentation) Wuzhen Shi, Feng Jiang, Shaohui Liu, and Debin Zhao，Scalable Convolutional Neural Network for Image Compressed Sensing，IEEE Conference on Computer Vision and Pattern Recognition(CVPR),2019. Donghao Gu, Zhaojing Wen, Feng Jiang, Shaohui Liu, Continuous Bidirectional Optical Flow For Video Frame Sequence Interpolation, ICME 2019 Jianyu Wang, Shaohui Liu, Feng Jiang, A Video Post-Filter Deblocking Method Based On Temporal Boosting Residual Networks, ICME 2019 Yibo Sun, Adil Khan, Kai Yang, Jiang Feng, Shaohui Liu，Playing First-Person-Shooter Games with A3C-Anticipator Network Based Agents using Reinforcement Learning The 5th International Conference on Artificial Intelligence and Security (ICAIS 2019), Accepted in 2018. 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) 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 1Wenxue 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. 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. 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. 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 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 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. 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. 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 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 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 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. Jinzong Zheng, Feng Jiang, Chunzhi Yi, the optimum spring stiffness of the wearable exoskeleton, IEEE International Conference on Mechanical, Automotive and Materials Engineering 2018. 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 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). Wuzhen Shi, Feng Jiang, Debin Zhao. DEEP NETWORKS FOR COMPRESSED SENSING BASED IMAGE COMPRESSION. ICME 2017. 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 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 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. 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 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 (2017) Worku J. Sori, Zhao Dongyang, Lou Fang, Fu Yusheng, Liu Shaohui, Feng Jiang, and Khan Adil Entropy Based Sub-Band Deletion for Multispectral Image Compression，The Pacific-Rim Conference on Multimedia (PCM) 2017 (2017) 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 (2017) 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) Maowei Cheng, Worku Jifara and Feng Jiang， Recurrent Neural Network Based classification of ECG signal Features for Obstruction of Sleep Apnea Detection，15th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC) 2017 (2017) Wuzhen Shi, Feng Jiang, Debin Zhao. IMAGE ENTROPY OF PRIMITIVE AND VISUAL QUALITY ASSESSMENT. 23th IEEE International Conference on Image Processing (ICIP), (2016) 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) Worku J. Sori, Feng Jiang, Aleksei Grigorev, Shaohui Liu, Hyperspectral Image Compression Based On Online Learning Spectral Features Dictionary, NCMT 2016 (2016) 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) Nabin Kumar Karn, Feng Jiang, Improved GLOH Approach for One-Shot Learning Human Gesture Recognition, Chinese Conference on Biometric Recognition, 441-452 (2016) Feng Jiang, Xulin Wang and Debin Zhao%2B, 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). 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) 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) Feng Jiang, Shengping Zhang, Debin Zhao%2B and S.Y. Kung%2B, Image Restoration via Multi-Prior Collaboration, Asian Conference on Computer Vision ACCV (2014). Qi Guo, Feng Jiang, Xiangyang Ji%2B and S.Y. Kung%2B, Efficient Divide-and-Conqueror Classification Based on Feature-Space Decomposition, 40th IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP, (2015). Feng Jiang, Yan Zhang, Jian Zhang and Debin Zhao%2B, Image super-resolution based on dual- dictionary Sparse Representation, Symposium on Aerospace System Technique of China, pp: 1-6. (2015) Feng Jiang, Yan Zhang, Jian Zhang and Debin Zhao%2B Review of Nature Image Prior Modeling and Multi-prior Collaboration, Symposium on Aerospace System Technique of China, pp: 1-6.(2015) 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). Jian Zhang, Debin Zhao%2B 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). Min Gao, Xiaopeng Fan%2B, Debin Zhao%2B, 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). Guochao Zhang, Shaohui Liu, Feng Jiang, Debin Zhao%2B, 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). Xiaodan Du, Feng Jiang, Debin Zhao%2B, Multi-scale Face Hallucination Based on Frequency Bands Analysis, IEEE International Conference on Visual Communications and Image Processing (VCIP), pp: 1-6 (2013). Hongwei Guo, Feng Jiang, Debin Zhao%2B, Natural Images Scale Invariance and High-fidelity Image Restoration, IEEE International Conference on Visual Communications and Image Processing (VCIP), pp: 1-6 (2013). Shen Wu, Feng Jiang, Debin Zhao%2B, 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). Shen Wu, Wenping Pan, Feng Jiang, Yang Gao, Debin Zhao%2B, A multiple-layered gesture recognition system for One-Shot Learning, International Conference on Pattern Recognition (ICPR) 2012 workshop, pp: 1-7 (2012). Gaoxiang Zhang, Feng Jiang, Debin Zhao%2B, 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). Hong Yu, Feng Jiang and Debin Zhao%2B, Compressed image restoration based on edge enhancement field of experts, IEEE International Conference on Visual Communications and Image Processing (VCIP), pp:203-209, (2010). BOARD MEMBERS (A-Z) 名称 陈志远 教授/博导诺丁汉大学马来西亚 丁 振 博士/讲师东北林业大学 姜 峰 教授/博导哈工大医学与健康学院哈工大计算学部 刘绍辉 副教授/博导哈工大计算学部 杨炽夫 副教授/博导哈工大机电工程学院 衣淳植 讲师哈工大医学与健康学院 张盛平 教授/博导哈工大计算学部 赵劲松 副教授/博导燕山大学机电工程学院 学术部负责人 名称 2021翰林奖 衣淳植 博士/助理教授（Chunzhi YI）哈工大医学与健康学院Profile:- 2022.06 – Present, Lecturer- 2017.09 – 2022.06, Ph.D., Harbin Institute of TechnologyResearch Activities:- Exoskeletons, motor intent decoding and human biomechanics- Motor & cognition interactions 工程部负责人 名称 2021金刚奖 丁 振 博士/讲师 （Zhen DING）哈工大计算学部Profile:-2022.06-Present， Lecturer-2016.09-2022.06， Ph.D., Harbin Institute of TechnologyResearch Activities:- Exoskeletons, sEMG, Human in the loop 2021金刚奖 杜国铭 博士研究生（Guoming DU）哈工大计算学部Profile:- 2019.9 – present, Ph.D student, Harbin Institute of TechnologyResearch Activities:- Human-machine interaction, gesture and posture recognition 博士研究生 名称 陈双 博士研究生（Shuang Chen）哈工大计算学部Profile:- 2017.09 – Present, Ph.D. student, Harbin Institute of Technology - 2013.09 – 2017.09, B.S. in Computer Science, Harbin Institute of TechnologyResearch Activities:- Knowledge Graphs, Natural Language Processing 魏柏淳 博士研究生（Baichun Wei）哈工大计算学部- 2018.09-Present, Ph.D. candidate, Harbin Institute of Technology- 2015.09-2018.06 M.E., Harbin Engineering UniversityResearch Activities:-Motor intent decoding and human biomechanics-Motor& cognition interactions 2021金刚奖 朱海麒 博士研究生（Haiqi Zhu）哈工大计算学部Profile:- 2019.09-Present, Ph.D. in process, Harbin Institute of Technology- 2017.09-2019.07, M.E., Harbin Institute of TechnologyResearch Activities:- Time-series analysis, anomaly detection and diagnosis- Artificial Intelligence for IT Operations(AIOPs) 张伟 博士研究生（Wei Zhang）哈工大计算学部Profile:- 2019.3-present Ph.D. student, Harbin Institute of Technology- 2016.9-2019.03 M.S. Harbin Engineering University- 2012.9-2016.06 B.S. Harbin Engineering UniversityResearch Activities:- Medical image processing 邵孟旋 博士研究生（Mengxuan Shao）哈工大计算学部Profile:- 2019.9-Present Ph.D. student Harbin Institute of Technology- 2018.9-2019.06 M.S. Harbin Institute of TechnologyResearch Activities:-Reinforcement learning and Multi-agent system-Imitation learning 2021风林奖 Kitouni Roumeissa 博士研究生哈工大计算学部Profile:-2019.09-Present, PH.D., Harbin Institute of Technology-2020.09-2022.06, M.E.,Research Activities:-Reinforcement learning and Multi-agent system-Imitation learning 萨尔米 博士研究生（Abderrahmane Salmi）哈工大计算学部Profile:- 2019.09 - Present. Ph.D student at Harbin Institute of Technology.Research Activities:- Computer vision, Image processing, and Deep learning.- Medical Imaging. 王志鹏 博士研究生（Zhipeng Wang）哈工大机电工程学院Profile:- 2019.09-Present, Ph.D., Harbin Institute of TechnologyResearch Activities:- Exoskeleton- Human–exoskeleton interaction 韩坤 博士研究生（Kun Han）哈工大计算学部Profile:- 2020.09 - Present, Ph.D. Candidate, Harbin Institute of Technology- 2017.09 - 2020.06, M.E., Harbin Engineering UniversityResearch Activities:- Multi-agent reinforcement learning 杨涛 博士研究生（Tao Yang）哈工大机电工程学院Profile:- 2020.09-Present, Ph.D., Harbin Institute of TechnologyResearch Activities:- Low-back or waist exoskeletons- Continuum mechanism 2022风林奖 惠晨 博士研究生（Chen Hui）哈工大计算学部Profile:- 2020.9-Present Ph.D. candidate Harbin Institute of Technology- 2018.9-2020.06 M.S. Harbin Institute of Technology- 2013.9-2017.06 B.S. Yanshan UniversityResearch Activities:- Information hiding and image processing 郭浩 博士研究生（Hao Guo）哈工大计算学部Profile:- 2021.03-present Ph.D. student Harbin Institute of Technology- 2017.09-2019.7-M.E. Harbin Institute of TechnologyResearch Activities:- Robotics, Reinforcement Learning, Machine Learning 田进 博士研究生（Jin Tian）哈工大机电工程学院Profile:- 2022.09-Present, Pursuing the Ph.D. degree, Harbin Institute of Technology- 2019.09-2022.06, M.E., Xinjiang UniversityResearch Activities:- Exoskeletons, human motion intention extraction, human-computer interaction 朱剑飞 博士研究生（Jianfei Zhu）哈工大计算学部Profile:-2022.09-Present, PH.D., Harbin Institute of Technology-2020.09-2022.06, M.E., Harbin Institute of TechnologyResearch Activities:-Biomedical signal processing-Wearable devices 硕士研究生 名称 张童 硕士研究生（Tong Zhang）哈工大计算学部Profile:- 2020.09 - 2022.06, M.S., Harbin Institute of Technology- 2016.09 - 2020.06, B.S., Harbin Institute of Technology，WeihaiResearch Activities:- Deep Learning, Computer Vision, Vedio Compression 赵永恩 硕士研究生（Yongen Zhao）哈工大机电工程学院Profile:- 2021.09-Present, Master of Engineering, Harbin Institute of TechnologyResearch Activities:- Manipulator, flexible adaptive grasping 张琦 硕士研究生（Qi Zhang）哈工大机电工程学院Profile:- 2021.09 - Present, M.S., Harbin Institute of Technology- 2016.09 - 2020.06, B.S., Harbin Institute of Technology，WeihaiResearch Activities:- Transfer Learning, Individual adaptation, sEMG 张世豪 硕士研究生（Shihao Zhang）哈工大机电工程学院Profile:- 2021.09-Present, Master of Engineering, Harbin Institute of TechnologyResearch Activities:- Flexible exoskeleton 肖凤森 硕士研究生（Fengsen XIAO）哈工大计算学部Profile:- 2021.09 — 2023.06, M.E., Harbin Institute of TechnologyResearch Activities:- Reinforcement Learning 黄佳飞 硕士研究生（Jiafei Huang）哈工大计算学部Profile:- 2021.09 - Present, M.S., Harbin Institute of Technology- 2017.09 - 2021.06, B.S., Harbin Engineering UniversityResearch Activities:- Computer Vision 王俊淞 硕士研究生（Junsong Wang）哈工大计算学部Profile:- 2021.09-Present, Master Candidate- 2017.09-2021,B.S., Harbin Institute of TechnologyResearch Activities:- Reinforcement Learning 李明慧 硕士研究生（Minghui Li）哈工大计算学部Profile:- 2016.09 — 2020.06, M.E., Harbin Institute of Technology - 2021.09 — 2023.06, M.E., Harbin Institute of TechnologyResearch Activities:- Reinforcement Learning 张松涛 本科生（Songtao ZHANG）哈工大机电工程学院Profile:- 2018.09-Present, Bachelor Degree, Harbin Institute of Technoloy, WeiHaiResearch Activities: 招生 & 招聘 名称 团队常年招收机电工程、计算机、电气、自动化、数学、生物医学工程专业博士、硕士研究生 团队招聘准聘教授、拔尖副教授、助理教授、师资博士后、实验室工程师，待遇请见哈工大官网 (http://rsc.hit.edu.cn/10869/list.htm) 。有意者请将简历发送至fjiang@hit.edu.cn , chunzhiyi@hit.edu.cn 招聘信息 名称 单位简介 哈工大医学与健康学院以工学引领医学发展为使命，发挥信息科学、工程科学、材料科学等相关一流学科优势，引领二十一世纪的新医学、新医工学科技创新和人才培养。学院拥有院士、国家级科技计划专家等杰出学者、名师代表的多学科师资队伍，现有专职教师40余人，跨学科教师30余人。哈工大医学与健康学院计划招聘脑科学、大数据、人工智能等方向的博士后（若干名）参与交叉学科的研究。欢迎应聘者根据自身背景进行申请！ 工作地点： 哈工大本部、哈工大郑州研究院。 岗位描述 一、应聘岗位 博士后 二、岗位职责 1.在导师指导下独立设计并开展课题研究； 2.参与课题组科研平台建设； 3.指导研究生开展科学研究； 4.参与科研论文撰写； 5.参与课题组基金申请。 三、申请条件 1.拥护中国共产党领导，遵守中华人民共和国宪法及相关法律法规，具有良好的思想政治素质和道德修养； 2.年龄一般不超过32周岁，特别优秀的可放宽至35周岁； 3.研究方向主要为脑科学、大数据、人工智能等； 4.具有良好的学术背景、较强的创新活力和学术潜能，具备独立开展研究工作的能力； 5.以第一作者或通讯作者在相关研究领域发表SCI学术论文1篇及以上，影响因子累计大于或等于5分者优先考虑； 6.具备良好的中英文交流与读写能力； 7.身心健康，工作诚信严谨，对科学有浓厚兴趣，待人宽和，具有良好的团队合作精神。 四、支持措施 1.薪资待遇：首聘期资助标准26-30万元/年，学校提供科研启动经费10万元。不含国家、学校和导师其他渠道来源经费。 2.科研启动经费：提供科研启动经费10万/人。 3.职业发展通道：博士后在站期间均可申请教师准聘岗或专职科研岗位（副高及以上职务），获聘后按相应岗位聘任并执行相应待遇。 4.享受国家规定的社会保险及住房公积金；享受教职工公费医疗保险；可租住精装修博士后公寓；享受教职工子女入学、入托政策等。 申请方式 请将个人简历发送至邮箱： chunzhiyi@hit.edu.cn fjiang@hit.edu.cn 邮件标题注明：应聘岗位%2B本人姓名%2B毕业学校%2B所学专业 简历初审合格者将邮件通知具体面试事宜 博士毕业生 名称 2021翰林奖 衣淳植 博士/助理教授（Chunzhi YI）哈工大医学与健康学院Profile:- 2017.09 – 2022.06, Ph.D., Harbin Institute of TechnologyGraduation Thesis:- 面向下肢外骨骼机器人的人体运动意图感知关键技术研究Career Paths:- 哈尔滨工业大学 医学与健康学院 助理教授 2021金刚奖 丁 振 博士/讲师 （Zhen DING）哈工大计算学部Profile:- 2016.09 – 2022.06, Ph.D., Harbin Institute of TechnologyGraduation Thesis:- ExoskeletonsCareer Paths:- 东北林业大学 计算机学院 讲师 GRIGOREV Aleksei 博士哈工大计算学部Profile:- 2016.09 – 2021.06, Ph.D., Harbin Institute of TechnologyGraduation Thesis:- 基于卷积神经网络的行人重识别的研究Career Paths:- ID R&D SORI WORKU JIFARA 博士哈工大计算学部Profile:- 2015.09 – 2019.06, Ph.D., Harbin Institute of TechnologyGraduation Thesis:- 基于卷积神经网络的医学图像去噪和检测研究 BENASSOU SABRINA NARIMENE 博士哈工大计算学部Profile:- 2018.09 – 2022.06, Ph.D., Harbin Institute of TechnologyGraduation Thesis:- Weakly Supervised Object Localization 硕士毕业生 名称 2022风林奖 刘天鸿 硕士（Tianhong Liu）哈工大计算学部Profile:- 2020.09 - 2022.06, M.S., Harbin Institute of Techonology- 2016.09 - 2020.06, B.S., Harbin Institute of TechonologyGraduation Thesis:- 基于CNN和Transformer的图像恢复技术的研究Career Paths:- 阿里巴巴 淘系技术部 算法工程师 刘文林 硕士（Wenlin Liu）哈工大计算学部Profile:- 2020.09 - 2022.06, M.S., Harbin Institute of Techonology- 2016.09 - 2020.06, B.S., Harbin Institute of TechonologyGraduation Thesis:- 针对on policy和lstm的优先级经验回放策略Career Paths:- 腾讯 AI平台部 算法工程师 蔡晨馨 硕士（Chenxin Cai）哈工大计算学部Profile:- 2020.09 - 2022.06, M.S., Harbin Institute of Techonology- 2016.09 - 2020.06, B.S., Harbin Institute of TechonologyGraduation Thesis:- 基于多目标强化学习的稀疏奖励问题研究Career Paths:- 哈尔滨工业大学 人工智能研究院 攻读博士 张佳乐 硕士（Jiale Zhang）哈工大计算学部Profile:- 2020.09 - 2022.06, M.S., Harbin Institute of Techonology- 2016.09 - 2020.06, B.S., Harbin Institute of TechonologyGraduation Thesis:- 基于多智能体强化学习的群体策略研究Career Paths:- 国家工业信息安全发展研究中心 算法工程师 李冉 硕士（Ran Li）哈工大计算学部Profile:- 2019.09 - 2021.06, M.S., Harbin Institute of TechonologyGraduation Thesis:- 基于深度多尺度特征融合的图像压缩感知重建技术的研究Career Paths:- 字节跳动 算法工程师 崔杨 硕士（Yang Cui）哈工大计算学部Profile:- 2019.09 - 2021.06, M.S., Harbin Institute of TechonologyGraduation Thesis:- 低剂量肝肺CT去噪算法研究Career Paths:- 字节跳动 算法工程师 寇欣 硕士（Xin Kou）哈工大计算学部Profile:- 2019.09 - 2021.06, M.S., Harbin Institute of TechonologyGraduation Thesis:- 基于注意力机制和熵正则化的群体博弈技术研究Career Paths:- Bilibili 算法工程师 陈紫琴 硕士（Ziqin Chen）哈工大计算学部Profile:- 2019.09 - 2021.06, M.S., Harbin Institute of TechonologyGraduation Thesis:- 基于语义的跨媒体内容质量评估研究Career Paths:- 国家计算机网络与信息安全管理中心湖北分中心 算法工程师 王学嘉 硕士（Xuejia Wang）哈工大计算学部Profile:- 2019.09 - 2021.06, M.S., Harbin Institute of TechonologyGraduation Thesis:- 基于三维可变形卷积的视频质量增强技术研究Career Paths:- 阿里云 算法工程师 白明骏 硕士（Mingjun Bai）哈工大计算学部Profile:- 2019.09 - 2021.06, M.S., Harbin Institute of TechonologyGraduation Thesis:- 面向司法文书的文本智能纠错与质量估计方法研究Career Paths:- 新浪微博 Feed算法部 算法工程师 顾东豪 硕士（Donghao Gu）哈工大计算学部Profile:- 2018.09 - 2020.06, M.S., Harbin Institute of TechonologyGraduation Thesis:- 基于深度学习的视频插帧技术Career Paths:- 海康威视研究院 智能交通部 算法工程师 李垚嵬 硕士（Yaowei Li）哈工大计算学部Profile:- 2018.09 - 2020.06, M.S., Harbin Institute of TechonologyGraduation Thesis:- 可解释的生物图像分析算法研究Career Paths:- 悉尼科技大学 ReLer实验室 攻读博士 董瑞 硕士（Rui Dong）哈工大计算学部Profile:- 2017.09 - 2020.06, M.S., Harbin Institute of TechonologyGraduation Thesis:- 基于深度学习优化的图像压缩研究Career Paths:- 新华社 杨赫 硕士（He Yang）哈工大计算学部Profile:- 2017.09 - 2019.06, M.S., Harbin Institute of TechonologyGraduation Thesis:- 基于深度学习的医学CT图像肝肿瘤与肺结节检测Career Paths:- 招商银行总行 数据资产与平台研发中心 研发工程师 司孟鑫 硕士（Mengxin Si）哈工大计算学部Profile:- 2017.09 - 2019.06, M.S., Harbin Institute of TechonologyGraduation Thesis:- 基于深度学习的肺癌和甲状腺癌医疗影像的研究Career Paths:- 腾讯 PCG事业部 研发工程师 杨川 硕士（Chuan Yang）哈工大计算学部Profile:- 2017.09 - 2019.06, M.S., Harbin Institute of TechonologyGraduation Thesis:- 基于深度学习的人体姿态估计技术研究Career Paths:- 中国工程物理研究院激光聚变研究中心 2021金刚奖 朱海麒 博士研究生（Haiqi Zhu）哈工大计算学部Profile:- 2019.09 - Present, Ph.D student, Harbin Institute of Technology- 2017.09 - 2019.06, M.S., Harbin Institute of TechonologyGraduation Thesis:- 基于深度学习的运维数据异常检测研究Career Paths:- 哈尔滨工业大学 计算学部 攻读博士 李晨光 硕士（Chenguang Li）哈工大计算学部Profile:- 2017.09 - 2019.06, M.S., Harbin Institute of TechonologyGraduation Thesis:- 面向任务的深度学习图像压缩编码技术Career Paths:- 商汤科技 智能汽车事业群 算法工程师 陶文 硕士（Wen Tao）哈工大计算学部Profile:- 2016.09 - 2018.06, M.S., Harbin Institute of TechonologyGraduation Thesis:- 基于深度学习的端到端图像视频压缩框架Career Paths:- 百度 商业广告部 算法工程师 王耶利 硕士（Yeli Wang）哈工大计算学部Profile:- 2016.09 - 2018.06, M.S., Harbin Institute of TechonologyGraduation Thesis:- 基于A3C模型的带预判游戏智能体研究Career Paths:- 平安科技 算法工程师