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西安电子科技大学电子工程学院导师教师师资介绍简介-吴家骥

本站小编 Free考研考试/2021-06-27





吴家骥 教授,博士生导师
西安电子科技大学,电子工程学院
电子邮箱:wujj(a)mail.xidian.edu.cn
留言板
优研学生必看!

受教育经历:
2002/03 – 2005/12,西安电子科技大学,通信工程学院,博士
1998/09 – 2001/07,中科院国家授时中心,硕士
1992/09 – 1996/07,西安电子科技大学,通信工程学院,本科
研究工作经历:
2013/01 – 2013/03,海洋局极地办,中国北极黄河站,越冬科考队员 揭秘北极黄河科考站HOT!
2012/07 – 至今, 西安电子科技大学,电子工程学院,教授
2010/04 – 2011/03,韩国汉阳大学,电子与计算机科学系,研究教授
2007/07 – 2012/06,西安电子科技大学,电子工程学院,副教授
2006/03 – 2007/06,西安电子科技大学,电子工程学院,讲师
1998/01 – 1998/08,深圳华为,工程师
1996/08 – 1997/12,邮电部第十研究所,技干
主要研究方向:
AI与IoT
图像处理
目标环境特性
高性能并行计算
大数据







吴家骥 教授,博士生导师
西安电子科技大学,电子工程学院
电子邮箱:wujj(a)mail.xidian.edu.cn
留言板
优研学生必看!

受教育经历:
2002/03 – 2005/12,西安电子科技大学,通信工程学院,博士
1998/09 – 2001/07,中科院国家授时中心,硕士
1992/09 – 1996/07,西安电子科技大学,通信工程学院,本科
研究工作经历:
2013/01 – 2013/03,海洋局极地办,中国北极黄河站,越冬科考队员 揭秘北极黄河科考站HOT!
2012/07 – 至今, 西安电子科技大学,电子工程学院,教授
2010/04 – 2011/03,韩国汉阳大学,电子与计算机科学系,研究教授
2007/07 – 2012/06,西安电子科技大学,电子工程学院,副教授
2006/03 – 2007/06,西安电子科技大学,电子工程学院,讲师
1998/01 – 1998/08,深圳华为,工程师
1996/08 – 1997/12,邮电部第十研究所,技干
主要研究方向:
AI与IoT
图像处理
目标环境特性
高性能并行计算
大数据




软件演示
高光谱图像无损压缩方法;(性能超牛X)HOT!
影像上色、超分、抠图换底


主持的科研项目
国家自然科学基金项目
极光全辐射波段区域时变模型,2018年-2021年
多维高动态极光图像数据的混合预测无损压缩与非平稳信道传输研究,2014年-2017年
基于空间方向和谱间多级簇变换的可逆超光谱图像压缩编码研究,2011年-2013年
基于形状自适应变换和上下文模型的高光谱图像编码技术研究,2007年-2009年,评估结果为优
海洋局中国极地研究中心项目
负责中国极地科考与数据压缩与传输系统的设计和实现
陕西省科技厅
战略性新兴产业重大产品(群)项目-工业领域:数字家庭影院的智能集成控制与应用服务研究,2016年-2017年
重点产业创新链(群)——工业领域:电竞大数据的智能挖掘与应用研究,2018年-2020年
研究所与企业横向项目若干




创新创业项目
2020年:
“极创动力——AI智能机械狗”,指导老师,"第十二届挑战杯"国赛金奖
“焕影一新——AI视频处理行业领跑者”,指导老师,"第十二届挑战杯"国赛银奖
“RoboX机器人OS系统”,指导老师,"第6届互联网+大赛"国赛国际赛道金奖
“焕影一新——AI视频处理行业领跑者”,指导老师,"第6届互联网+大赛"国赛银奖
“焕影一新——AI视频处理行业领跑者”,指导老师,"第6届互联网+大赛"省赛金奖

2019年:
“Muses——人工智能作曲”,指导老师,“第五届中国互联网+大赛”国赛银奖,央视《创业英雄汇》,2019“微软创新杯”全国总冠军
“AI蚊虫监测系统”,指导老师,“第五届中国互联网+大赛”国赛银奖
“AI看旧影”,指导老师,“第五届中国互联网+大赛”省赛金奖,央视《创业英雄汇》

团队有超豪华的创业导师指导同学们“双创实战”
欢迎本科生同学加入我们!

众多产品级项目等待本科生同学们来我们的DVC Lab实习
如果你觉得Java、Python、JS/Vue、Go等编程水平不错,不来DVC Lab,你还是野路子
如果你觉得你编程和项目水平不错了,只想去大厂实习,来DVC Lab试试之后再说
如果你觉得你只有设计和项目产品管理经验,DVC Lab是你不二的选择
如果你觉得你是大牛了,来DVC Lab仍然可以让你有重大提升
如果你什么都好,但责任心不够,DVC Lab绝不适合你
如果你无任何编程和项目经验,DVC Lab不适合你
如果你只是纸上谈兵,DVC Lab也不适合你




发表学术文章
Book Chapter:
Jiaji Wu, Lei Wang, Yong Fang, LC Jiao,. Multiplierless Reversible Integer TDLT/KLT for Lossy-to-lossless Hyperspectral Image Compression: Satellite Data Compression. Springer, ISBN 978-1-4614-1182-6, 2011.
Journal:
Dang M, Wu J, Cui S, Guo X, Cao Y, Wei H, Wu Z. Multiscale Decomposition Prediction of Propagation Loss in Oceanic Tropospheric Ducts. Remote Sensing. 13(6), 1173, 2021.
Guoshuai Zhang, Jiaji Wu, Kun Zhao, Xufeng Zhou, Yuan Chen, Yuhui Wang, Mingzhou Tan.Sustainable society based on social gamification using Nova Empire ecology mining.Sustainable Cities and Society, vol.66, 102666, 2021.
Guoshuai Zhang, Jiaji Wu, Mingzhou Tan, Zhongjie Yang, Qingyu Cheng, Hong Han. Learning to Predict U.S. Policy Change Using New York Times Corpus with Pre-Trained Language Model. Multimedia Tools and Applications, 79, 34227–34240, 2020.
Tan Qu, Haiying Li, Zhensen Wu, Qingchao Shang, Jiaji Wu, Wanqiu Kong. Scattering of aerosol by a high-order Bessel vortex beam for multimedia information transmission in atmosphere. Multimedia Tools and Applications, 79, 34159–34171, 2020.
Tan Qu, Yan Zhang, Jiaji Wu. A novel AFNCS algorithm for super-resolution SAR in curve trajectory. Multimedia Systems,2020, DOI: 10.1007/s00530-020-00715-z.
Wanqiu Kong, Zejun Hu, Jiaji Wu, Tan Qu, Gwanggil Jeon. A Comparative Study of Estimating Auroral Electron Energy from Ground-Based Hyperspectral Imagery and DMSP-SSJ5 Particle Data.Remote Sensing,12, 2259, 2020.
Zhe Wu, Tan Qu, Jiaji Wu, Zhensen Wu, Lin Yang, Xi Li. Scattering of Electromagnetic Waves With Orbital Angular Momentum on Metallic Sphere.IEEE Antennas and Wireless Propagation Letters, vol. 19, no. 8, pp. 1365-1369, Aug. 2020.
Rui Xie, Yuhui Wang, Mingzhou Tan, Wei Zhu, Zhongjie Yang, Jiaji Wu, Gwanggil Jeon. Ethereum-Blockchain-Based Technology of Decentralized Smart Contract Certificate System. IEEE Internet of Things Magazine, vol. 3, no. 2, pp. 44-50, June 2020.
Liwen Ma, Jiaji Wu, Jinpeng Zhang, Zhensen Wu, Gwanggil Jeon, Yushi Zhang, Tao Wu. Research on Sea Clutter Reflectivity Using Deep Learning Model in Industry 4.0.IEEE Transactions on Industrial Informatics, vol. 16, no. 9, pp. 5929-5937, Sept. 2020.(TOP Journal)
Liwen Ma,Jiaji Wu,Jinpeng Zhang,Zhensen Wu,Gwanggil Jeon,Mingzhou Tan,Yushi Zhang.Sea Clutter Amplitude Prediction Using a Long Short-Term Memory Neural Network. Remote Sensing, 11(23), 2826, 2019.
Jiaojiao Li, Jiaji Wu, Gwanggil Jeon.GPU-based lossless compression of aurora spectral data using online DPCM.Remote Sensing, 11(14), 1635,2019.
Wanqiu Kong, Jiaji Wu, Zejun Hu, Gwanggil Jeon.Lossless compression codec of aurora spectral data using hybrid spatial-spectral decorrelation with outlier recognition.Journal of Visual Communication and Image Representation, vol.62,pp.174-181,2019.
Xiangshuai Meng,Jiaji Wu,Zhensen Wu,Tan Qu,Lin Yang.Generating dual-polarization beams carrying dual orbital angular momentum modes based on anisotropic holographic metasurfaces. Journal of Physics D: Applied Physics,52(30), 2019.
Jiao Shi, Yu Lei, Jiaji Wu, Gwanggil Jeon.Uncertain active contour model based on rough and fuzzy sets for auroral oval segmentation.Information Sciences,vol.492,PP.72-103,2019.
X. Meng, J. Wu, Z. Wu, L. Yang, L. Huang, X. Li, and T. Qu.Design, fabrication, and measurement of an anisotropic holographic metasurface for generating vortex beams carrying orbital angular momentum. Optics Letters,44(6), pp.1452-1455, 2019.(TOP Journal)
Xiangshuai Meng, Jiaji Wu, Zhensen Wu Lin Yang, Li Huang, Xi Li, Tan Qu, and Zhe Wu.Generation of multiple beams carrying different orbital angular momentum modes based on anisotropic holographic metasurfaces in the radio-frequency domain. Applied Physics Letters, 114(9):093504, 2019.(TOP Journal)
Longxiang Linghu, Jiaji Wu, Zhensen Wu, Gwanggil Jeon and Xiaobin Wang. GPU-accelerated Computation of Time-evolving Electromagnetic Backscattering Field from Large Dynamic Sea Surfaces. IEEE Transactions on Industrial Informatics, vol.5, no.16, pp.3187-3197, 2019. (TOP Journal)
Jiaojiao Li, Jiaji Wu, Gwanggil Jeon. GPU Acceleration of Clustered DPCM for Lossless Compression of Hyperspectral Images. IEEE Transactions on Industrial Informatics, vol.16, no.5, pp.2906-2916, 2019. (TOP Journal)
Linghu L, Wu J, Wu Z, Wang X. Parallel Computation of EM Backscattering from Large Three-Dimensional Sea Surface with CUDA.Sensors, 18(11):3656, 2018.
Xiangshuai Meng, Jiaji Wu, Zhensen Wu, Tan Qu, Lin Yang. Design of Multiple-Polarization Reflectarray for Orbital Angular Momentum Wave in Radio Frequency. IEEE Antennas and Wireless Propagation Letters, vol.17, no.12, pp.2269-2273, 2018.
Xiaowei Guo, Jiaji Wu, Jinpeng Zhang, Jie Han. Deep learning for solving inversion problem of atmospheric refractivity estimation. Sustainable Cities and Society, vol.43, pp.524-531, 2018.
Xiangshuai Meng, Jiaji Wu, Zhensen Wu, Tan Qu, Lin Yang. Dual-polarized Reflectarray for Generating Dual Beams with Corresponding Two Different Orbital Angular Momentum Modes Based on Independent Feeds for Operation in C- and X-bands. Optics Express, vol.26, no.18, pp.23185-23195, 2018.
Mengyue Zhao, Jiaji Wu, Gwanggil Jeon, Xing Guo. Statistical Analysis of Cloud Characteristics in Northwest China Based on Fengyun Satellite Data. Concurrency and Computation: Practice and Experience, doi:10.1002/cpe.4972, 2018.
Lei Wang, Yangyang Xu, Jun Cheng, Haiying Xia, Jianqin Yin, and Jiaji Wu. Human Action Recognition by Learning Spatio-Temporal Features with Deep Neural Networks. IEEE Access, doi: 10.1109/ACCESS.2018.**, 2018.
Longxiang Linghu, Jiaji Wu, Bormin Huang, Zhensen Wu, Min Shi. GPU-Accelerated Massively Parallel Computation of Electromagnetic Scattering of a Time-Evolving Oceanic Surface Model I: Time-Evolving Oceanic Surface Generation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.11, no.8, pp.2752-2762, 2018.
Jiaojiao Li, Jiaji Wu, Gwanggil Jeon. Parallel Binocular Stereo Vision-based GPU Accelerated Pedestrian Detection and Distance Computation. Journal of Real-Time Image Processing, 10.1007/s11554-018-0783-y, 2018.
Liwen Ma, Jiaji Wu, Chunyuan Li. Localization of a High-Speed Train Using a Speed Model Based on the Gradient Descent Algorithm. Future Generation Computer Systems, vol.85, pp.201-209, 2018.
Xing Guo, Zhensen Wu, Jiaji Wu. Study of infrared reflection characteristics of aerial target using MODIS data on GPU. Journal of Real-Time Image Processing, doi: 10.1007/s11554-018-0754-3, 2018.
Xing Guo, Zhensen Wu, Jiaji Wu, Yunhua Cao. Parallel BRDF-based infrared radiation simulation of aerial targets implemented on Intel Xeon processor and Xeon Phi coprocessor. Journal of Real-Time Image Processing, doi: 10.1007/s11554-017-0739-7, 2018.
Jiaji Wu, Long Deng, Gwanggil Jeon. GPU-Parallel Interpolation using the Edge-Direction Based Normal Vector Method for Terrain Triangular Mesh. Journal of Real-Time Image Processing, vol.14, no.4, doi:10.1007/s11554-016-0575-1, pp.1-10, 2018.
Jiaji Wu, Long Deng, Gwanggil Jeon. Image Autoregressive Interpolation Model using GPU-Parallel Optimization. IEEE Transactions on Industrial Informatics, vol.14, no.2, pp.426-436, 2017. (TOP Journal)
Yu Lei, Jiao Shi, Jiaji Wu. Region-driven distance regularized level set evolution for change detection in remote sensing images. Multimedia Tools and Applications, vol.76, no.23, pp.24707-24722, 2017.
Jiaji Wu, Wenze Li, Gwanggil Jeon. From Coarse- to Fine-Grained Implementation of Edge-Directed Interpolation Using a GPU. Information Sciences, vol.385–386, pp.457-474, April 2017.
Wanqiu Kong, Jiaji Wu, Zejun Hu, Marco Anisetti, Ernesto Damiani, Gwanggil Jeon. Lossless Compression for Aurora Spectral Images with Fast Online Bi-dimensional Decorrelation Method. Information Sciences, vol.381, pp.33-45, 2017.
Jin Wang, Jiaji Wu, Zhensen Wu, Jechang Jeong, Gwanggil Jeon. Wiener filter-based wavelet domain denoising. Displays, vol.46, pp.37-41, 2017.
Jin Wang, Jiaji Wu, Zhensen Wu, and Gwanggil Jeon. Taylor Series and Adaptive Directional Selection for Real Time Demosaicking. Displays, vol.45, pp.14-25, 2016.
Jin Wang, Jiaji Wu, Zhensen Wu, Gwanggil Jeon. Filter-based Bayer Pattern CFA Demosaicking. Circuits, Systems, and Signal Processing, doi:10.1007/s00034-016-0448-7, pp.1-24, 2016.
Jiaji Wu, Marco Anisetti, Wei Wu, Ernesto Damiani, and Gwanggil Jeon. Bayer Demosaicking with Polynomial Interpolation. IEEE Transactions on Image Processing, vol. 25, no. 11, pp. 5369-5382, Nov. 2016.
Jin Wang, Jiaji Wu, Zhensen Wu, Gwanggil Jeon, and Jechang Jeong. Bilateral Filtering and Directional Differentiation for Bayer Demosaicking. IEEE Sensors Journal, doi:10.1109/JSEN.2016.**, 2016.
Jiao Shi, Yu Lei, Jiaji Wu, Anand Paul, Mucheol Kim, Gwanggil Jeon. Uncertain clustering algorithms based on rough and fuzzy sets for real-time image segmentation. Journal of Real-Time Image Processing, doi:10.1007/s11554-016-0585-z, pp.1-19, 2016.
Xing Guo, Jiaji Wu, Zhensen Wu, Bormin Huang. Parallel Computation of Aerial Target Reflection of Background Infrared Radiation: Performance Comparison of OpenMP, OpenACC and CUDA Implementations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 4, pp. 1653-1662, April 2016.
Jiao Shi, Jiaji Wu, Marco Anisetti, Ernesto Damiani, Gwanggil Jeon. An interval type-2 fuzzy active contour model for auroral oval segmentation. Soft Computing, DOI: 10.1007/s00500-015-1943-7, PP.1-21, 2015.
M. Mazhar U Rathore, Awais Ahmad, Anand Paul, Wu Jiaji. Real-time Continuous Feature Extraction in Large Size Satellite Images. Journal of Systems Architecture, vol.64, pp.1122-132, 2015.
Jiaji Wu, Wanqiu Kong, Bormin Huang, Jarno Mielikainen. Lossless Compression of Hyperspectral Imagery via Clustered Differential Pulse Code Modulation with Removal of Local Spectral Outliers. IEEE Signal Processing Letters, vol.22, no.12, pp.2194-2198, 2015. (PDF, Software)
Jiaji Wu, Long Deng, Anand Paul. 3D Terrain Real-time Rendering Method Based on CUDA-OpenGL Interoperability. IETE Technical Review, DOI: 10.1080/**.2015.**, 2015.
Lei Wang, Jing Bai, Jiaji Wu, Gwanggil Jeon. Hyperspectral Image Compression based on Lapped Transform and Tucker Decomposition. Signal Processing: Image communication, vol.36, pp.63-69, 2015.
Bormin Huang, Jiaji Wu, Yang-Lang Chang. Special Section Guest Editorial: High-Performance Computing in Applied Remote Sensing: Part 3. Journal of Applied Remote Sensing, vol. 8, no.1, 084701, pp. 1-1, January 2015.
Jiaji Wu, Zhan Song, Gwanggil Jeon. GPU-Parallel Implementation of the Edge-Directed Adaptive Intra-Field Deinterlacing Method. IEEE/OSA Journal of Display Technology, vol.10, no.9, pp.746,753, 2014.
Jiao Shi, Jiaji Wu, Anand Paul, Licheng Jiao, and Maoguo Gong. Change Detection in Synthetic Aperture Radar Images Based on Fuzzy Active Contour Models and Genetic Algorithms. Mathematical Problems in Engineering, vol. 2014, Article ID 870936, 15 pages, 2014.
Xiang Su, Jiaji Wu, Bormin Huang, Zhensen Wu. GPU-accelerated Computation of Electromagnetic Scattering of a Double-layer Vegetation Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.6, no.4, pp.1-8, 2013.
Jiaji Wu, Zhenzhen Xu, Gwanggil Jeon, Xiangrong Zhang, Licheng Jiao. Arithmetic coding for image compression with adaptive weight-context classification. Signal Processing: Image Communication, vol.28, no.7, pp.727-735, August 2013.
S.-J. Park, G. Jeon, J. Wu, and J. Jeong. An interpolation scheme based on Bayes classifier. Journal of Electronic Imaging, vol. 22, no. 2, pp. 023003, Apr-Jun 2013.
Anand Paul, K Bharanitharan, Jiaji Wu. Algorithm and Architecture for Adaptive Motion Estimation in Video Processing. IETE Technical Review, vol.30, no.1, pp.24-30, 2013.
Jiaji Wu, Chong Liang, Jianxiang Han, Zejun Hu, Dehong Huang, Hongqiao Hu, Yong Fang, Licheng Jiao. A Two-Stage Lossless Compression Algorithm for Aurora Image Using Weighted Motion Compensation and Context-Based Model. Optics Communications. vol.290, pp.19-27, October 22, 2012.
Yong Fang, Jiaji Wu, and Bormin Huang. 2D sparse signal recovery via 2D orthogonal matching pursuit. Science China: Inf. Sci., 55: 889-897, 2012.
Jiaji Wu, Tao Li, Tung-Ju Hsieh, Yang-Lang Chang, and Bormin Huang. Digital Signal Processor-based 3D Wavelet Error-resilient Lossless Compression of High-resolution Spectrometer Data. Journal of Applied Remote Sensing, vol. 5, 051504, November 28, 2011.
Jun Wang, Bormin Huang, Jiaji Wu, Jong-Wha Chong. Lapped transform-based codec for frame-memory reduction in super-quality LCD overdrive. Journal of the SID, vol.19, No.8, 2011.
A. Paul, J. Wu, J.-F. Yang, and J. Jeong. Gradient-based edge detection for motion estimation in H.264/AVC. IET Image Processing. vol.5,No.4, pp.323–327, 2011.
Jiaji Wu, Jin Huang, Gwanggil Jeon, Jechang Jeong, L.C. Jiao. An adaptive autoregressive de-interlacing method. Optical Engineering, vol.5, 50, 057001, 2011.
Jiaji Wu, Anand Paul, Yan Xing, Yong Fang, Jechang Jeong, Licheng Jiao, Guangming Shi. Morphological dilation image coding with context weights prediction. Signal Processing: Image Communication, vol.25, no.10, pp.717-728, 2010.
Licheng Jiao, Lei Wang, Jiaji Wu, Jing Bai, Shuang Wang, Biao Hou. Shape-Adaptive Reversible Integer Lapped Transform for Lossy-to-lossless ROI Coding of Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters, vol.8, No.2, pp.326-330, 2011.
Lei Wang, Licheng Jiao, Jing Bai, Jiaji Wu. Hyperspectral image compression based on 3D reversible integer lapped transform. IET Electronics Letters, vol.46, no.24, pp.1601-1602, November 25 2010.
Jiaji Wu, Yan Xing, Jechang Jeong, Guangming Shi, Licheng Jiao. Using a weighted zeroblock coder for satellite image compression. Journal of Applied Remote Sensing, vol. 4, 041787, 2010.
Lei Wang, Licheng Jiao, Jiaji Wu, Guangming Shi, Yanjun Gong, Lossy-to-lossless image compression based on multiplier-less reversible integer time domain lapped transform. Signal Processing: Image Communication, Vol. 25, pp.622-632, September 2010.
Lei Wang, Jiaji Wu, Licheng Jiao, Shuang Zhang. Three Dimensional Medical Image Compression Based on Low-complexity RKLT. IET Electronics Letters, Vol.46, No.6, pp.395-397, 2010.
Lei Wang, Jiaji Wu, Licheng Jiao and Guangming Shi. Lossy-to-lossless Hyperspectral Image Compression Based on Multiplierless Reversible Integer TDLT/KLT. IEEE Geoscience and Remote Sensing Letters, vol.6, no.3, pp.587-591, July 2009.
Jiaji Wu, Zhensen Wu, Chengke Wu. Lossly to lossless compression of hyperspectral images using three-dimensional set partitioning algorithm. Optical Engineering, vol.45, no.2 : 2 7005-1-8, Feb. 2006.
Jiaji Wu, Chengke Wu. Multispectral image compression using three-dimensional transform zeroblock coding. CHINESE OPTICS LETTERS, Vol.2, No.6, pp325-327, June 10, 2004.





招生要求
团队每年招收4-5名左右硕士和2名博士,男女不限,保研优先。
团队项目众多,研究面广泛,经费充足,除了学校奖学金以外,对参与项目的同学每月发放有竞争力的科研补助。如研究生阶段外出实习,毕业时间顺延。
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如果电院应届毕业生报考,欢迎选择我的毕业设计题目。
成绩次要,态度首要,能承担高强度科研工作压力,且具有强自驱力!我们也会为同学们提供最优质的软硬件环境,打造最先进的智能化实验室!
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招收一名有志于赴南极中山站科考的硕博连读研究生,补贴丰厚,长期有效!
南极科考并非旅游,条件较艰苦,仅限男生,身体健康,心理素质过硬,乐观积极,最少要有我一半的幽默!





实验室环境
Loft风格的实验室环境,LED灯调光、电动窗帘、智能化的场景联动,代表了我们冲破陈规的态度;
实验室配备了新风除霾装置,与雾霾隔绝;
博士生均配备丹麦进口高端电动升降桌,蹲、坐、站各种学习姿势可随意切换,告别腰酸脖子痛;
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实验室配备百万级顶级视听设施,不定期开展声学和视频“试验观摩”活动;
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舒适现代化的实验室环境

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硬件设施
硬件配置豪华,算力资源满足AI训练的苛刻要求






与学生在室外开展高光谱成像实验


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给同学们提供广泛的学术交流机会。
国内会议
每年定期组织学生参加中国极地学术年会、IEEE和SPIE等协会组织的国际学术会议(国内)等会议。
国际会议
鼓励和支持博士研究生参加境外召开的国际会议。


活动
学生聚餐

TED演讲

极地科考

央视CCTV-1的报道





“超智能体” & “学习观”


“超智能体”是我实验室于建国老师的公众号,“学习观”是国内最重要的人工智能视频科普自媒体品牌,在B站有超过70万粉丝。

Dvc Lab (达芬奇密码实验室)

DvcLAB是我们实验室开源项目,旨在降低AI开发门槛,提升AI与大数据研发人员的效率。
该项目会长期持续维护,欢迎大家使用并反馈意见。
该项目长期招本科同学实习!
要求:
有责任心;
最好有java编程经验,使用过linux系统,了解网络通信相关技术;
可以远程开发,最好保证每周三天开发时间,能及时反馈问题线上交流。




相关话题/电子工程学院 电子科技大学