Prof. Qing XU (徐庆 教授)

本研究方向面向分析和理解人类对于环境视觉认知的策略及其思维过程，属于国内/国际认知科学和人工智能相关研究在当前及很长未来的标志性前沿。研究工作基于眼动跟踪数据的定量化计算和分析，以概率统计与随机过程、信息论及机器学习为基本技术，以汽车驾驶及视觉刺激质量评估为示例，以CAVE等大型虚拟现实设备为实验平台，致力于能够根本性理解环境视觉认知的定量刻画、定量模型以及定量度量等科技问题的深入研究，研究问题本身具有高度的基础性和普适性特点。

以可视化及可视化计算分析（Visual Analytics）作为完整框架、以人机交互为平台、以算法为基础，结合类脑研究，解决单独依靠算法或单独依靠人均难以解决的复杂问题。可视化计算分析是美国“911”事件发生后，由各个领域专家共同提出的理念，用于应对某些超复杂问题（如发生灾难的分析、判断和预测）。我们依托国家自然基金等项目为资助，在与计算机学院、软件学院海洋学院以及中国民航大学的交流合作下，以视频信息的大数据、运动轨迹大数据和海洋大数据为处理对象，从事相关方面的研究工作，如视频关键帧抽取及其三维体验、运动轨迹大数据计算分析及其可视化、海洋大数据可视化及交互分析等。

通过将前沿人工智能技术与其他学科交叉融合，赋能传统工科信息化与智慧化。课题组内拥有深厚的交叉学科背景，从事人工智能、GPU加速、物理现象与机理探究等多方面多层次研究工作。相关成果发表在计算机、应用数学、水力学、水文水资源等多学科的高水平期刊上。欢迎对人工智能(特别是机器学习算法)和探索自然现象感兴趣的同学（qhou@tju.edu.cn，侯庆志）。

2023.11-2024.11 "主动安全试数据分析与算法研发" 用眼动、心电等生理数据衡量困意，提出新的困意检测指标，度量分类不同生理状态下的困意状态。
2021.05-2021.12 国家重点研发项目子课题“无人机高分辨率光学影像处理”（编号2019YFC0507801），研究无人机上的高分辨率光学影像处理
2020.11-2023.12 国家重点研发项目子课题“基于虚拟现实的人与机器人智能交互技术研究”（编号2020YFC1807904-01），研究人与机器人及周围环境的智能交互技术，促进人与机器人的安全及高效协同工作。
2018.1-2018.12 国家自然科学基金“基于虚拟现实的认知负荷与情绪干扰交互性分析关键技术研究”（编号：61771335），研究基于虚拟现实的认知负荷与情绪干扰交互性分析。
2015.1-2018.12 国家自然科学基金“面向异态检出的运动轨迹计算分析及其可视化关键技术研究”（编号：61471261），研究运动轨迹计算分析及其可视化。
2014.1-2017.12 "IMSERIOUS - Advances in Digital Content for Serious Games (TIN2013-47276-C6-1-R)", funded by Spanish government
2014.1-2016.12 “民航视景仿真的照片级逼真度渲染关键技术研究”（编号：U1333110），研究基于Monte Carlo的真实感图像合成。
2013.1-2015.12 国家支撑计划课题“文物资源创意要素提取与设计素材库构建”（编号：2013BAH62F02），基于文物的图像、视频等数据研究文物的视觉和创意要素提取以及相关素材库的构建与管理。
2012.1-2014.12 国家自然科学基金“基于视频分析与可视化的候机楼安全异常检测关键技术研究”（编号：61179067），研究视频物体运动轨迹可视化分析。
2009.3-2010.2 天津三星电子有限公司项目“图像/视频画质增强功能开发”（ 编号：2009120024001080），研究图像画质提高。
2009.1-2011.12 国家自然科学基金 “民航机场灾难应急处置的可视分析研究”（编号：60879003），研究灾难态势评估及受灾人员紧急撤离调度等。
2006.4-2008.12 天津市基础研究计划项目“模糊性在虚拟环境真实感图象合成中的应用研究”（编号：06YFJMJC00400），研究真实感可视化以及全局光照算法。
2006.1-2008.12 国家自然科学基金“民航飞行视景模拟的真实感与快速绘制研究（编号：60572169），研究真实感可视化以及全局光照算法。
2004.7-2007.6 教育部留学回国人员科研启动基金项目“面向动态环境整体光照计算”（编号：D200407），研究真实感可视化以及全局光照算法。
2003.5-2006.4 天津大学优秀引进人才基金项目“动态环境整体光照计算研究”（编号：150D03350），研究真实感可视化以及全局光照算法。

Reviewer for Eurographics annual conference
Reviewer for IEEE Transactions on Image Processing
Reviewer for IEEE Signal Processing Letters
Reviewer for Computers & Graphics
Reviewer for Journal of Computer Aided Design and Computer Graphics (Chinese journal)
Reviewer for Journal of Image and Graphics (Chinese journal)

Parkinson S, Khan S, Badea A M, et al. An empirical analysis of keystroke dynamics in passwords: A longitudinal study[J]. IET Biometrics, 2023, 12(1): 25-37.
Zhang R, Xu Q, Peng Z, et al. Transfer Entropy Based Causality from Head Motion to Eye Movement for Visual Scanning in Virtual Driving[J]. bioRxiv, 2022: 2022.10. 10.511531.
Peng Z, Xu Q, Zhang R, et al. Eye movement based information system indicates human behavior in virtual driving[J]. bioRxiv, 2022: 2022.07. 18.498964.
Feixas M, Bardera A, Rigau J, Xu Q, et al. Information theory tools for image processing[M]. Springer Nature, 2022.
Tang Z, Xu Q, Wu P, et al. Feedback refined local-global network for super-resolution of hyperspectral imagery[J]. Remote Sensing, 2022, 14(8): 1944.
Hao J, Liu S, Xu Q. Controlling eye blink for talking face generation via eye conversion[M]//SIGGRAPH Asia 2021 Technical Communications. 2021: 1-4.
Lv Z, Xu Q, Schoeffmann K, et al. A jensen-shannon divergence driven metric of visual scanning efficiency indicates performance of virtual driving[C]//2021 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2021: 1-6.
Wu M, Liu S, Xu Q. Improved divergence‐free smoothed particle hydrodynamics via priority of divergence‐free solver and SOR[J]. Computer Animation and Virtual Worlds, 2021, 32(3-4): e2006.
Lv Z, Xu Q, Schoeffmann K, et al. Transfer Entropy Based Causality From Head Motion To Eye Movement[J]. bioRxiv, 2021: 2021.03. 11.434910.
Parkinson S, Khan S, Crampton A, et al. Password policy characteristics and keystroke biometric authentication[J]. IET Biometrics, 2021, 10(2): 163-178.
Lv Z, Xu Q, Schoeffmann K, et al. New Measures of Visual Scanning Efficiency and Cognitive Effort[J]. bioRxiv, 2020: 2020.11. 17.386185.
Hu X, Xu Q, Guo Y. Trajectory anomaly detection based on the mean distance deviation[C]//International Conference on Neural Information Processing. Cham: Springer International Publishing, 2020: 140-147.
Chengcheng Li, Qing Xu, Cheng Peng, and Yuejun Guo. Anomaly Detection Based on the Global-Local Anomaly Score for Trajectory Data. In Proceedings of the 26th International Conference on Neural Information Processing , 2019.
Cheng Peng, Qing Xu, Yuejun Guo, and Klaus Schoeffmann. Eye Movement-based Analysis on Methodologies and Efficiency in the Process of Image Noise Evaluation. In Proceedings of the 28th International Conference on Artificial Neural Networks, 2019.
Pan, D., Xu, Q., Ma, S., & Zhang, K. (2018, November). The impact of fear of the sea on working memory performance: a research based on virtual reality. In Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology (p. 38).
Wu T , Xu Q , Li Y , et al. Detail-Preserving Trajectory Summarization Based on Segmentation and Group-Based Filtering[C]// International Conference on Multimedia Modeling. Springer, Cham, 2019.
Yuejun Guo, Qing Xu. IBVis: Interactive Visual Analytics for Information Bottleneck Based Trajectory Clustering. Entropy, 2018.
Qing Xu, Yunhe Li, Yuejun Guo, et al. Random-valued impulse noise removal using adaptive ranked-ordered impulse detector. Journal of Electronic Imaging, 2018, 27(1).
Guo Y, Xu Q, Li P, et al. Trajectory Shape Analysis and Anomaly Detection Utilizing Information Theory Tools. Entropy, 2017, 19(7): 323.
Guo Y, Xu Q, Luo X, et al. A group-based signal filtering approach for trajectory abstraction and restoration. Neural Computing and Applications, 2017.
Li P, Xu Q, Wei H, Guo Y, Luo X. The Abstraction for Trajectories with Different Numbers of Sampling Points. ICONIP 2017.
魏昊, 徐庆. 基于冗余分组的轨迹摘要算法[J]. 计算机应用, 2017.
Yuejun Guo，Qing Xu，Sheng Liang，Yang Fan. Fast Agglomerative Information Bottleneck based Trajectory Clustering，23rd International Conference on Neural Information Processing (ICONIP), 2016.
Dong L, Xu Q, Wu S, et al. An Overview+ Detail Surveillance Video Player: Information-Based Adaptive Fast-Forward[C]//Pacific Rim Conference on Multimedia. Springer International Publishing, 2016: 366-375.
Qiang Z, Xu Q, Sun S, et al. Key Frame Extraction Based on Motion Vector[C]//Pacific Rim Conference on Multimedia. Springer International Publishing, 2016: 387-395.
吴熙, 徐庆, 卜红娟, 等. 基于 Metropolis 光线跟踪的组合滤波器[J]. 计算机应用, 2016, 36(9): 2605-2608.
Guo Y, Xu Q, Sun S, et al. Selecting Video Key Frames Based on Relative Entropy and the Extreme Studentized Deviate Test. Entropy, 2016, 18(3): 73.
李梁凯, 徐庆, 罗小小. 结合 Tsallis 熵与 Jensen 距离的视频关键帧抽取方法[J]. 计算机工程, 2016, 42(2): 278-282.
Yimin Lv, Qing Xu, Yuejun Guo, Huixuan Li, Fast TLS Denoising Algorithm Using Grid Technique, 5th International Conference on Virtual Reality and Visualization (ICVRV2015).
Hongjuan Bu, Qing Xu, Shang Wu, Yuejun Guo, Detection and Removal for Impulse Noise in Monte Carlo Global Illumination Rendered Images of Highly Glossy Scenes”. 5th International Conference on Virtual Reality and Visualization (ICVRV2015).
Yuejun Guo，Qing Xu，Sheng Liang，Yang Fan，XaIBO: An Extension of aIB for Trajectory Clustering with Outlier，22nd International Conference on Neural Information Processing (ICONIP), 2015.
Xiaoxiao Luo，Qing Xu，Yuejun Guo，Hao Wei，Yimin Lv，Trajectory Abstracting with Group-based Signal Denoising, 22nd International Conference on Neural Information Processing (ICONIP), 2015.
Sheng Liang, Qing Xu, Yuejun Guo, Yang Fan. “Multiscale Visualization of Trajectory Data”. 19th International Conference on Information Visualisation (IV), 2015. Barcelona, Spain.
Yang Fan, Qing Xu, Yuejun Guo, Sheng Liang. “Visualization on Agglomerative Information Bottleneck Based Trajectory Clustering”. 19th International Conference on Information Visualization (IV), 2015. Barcelona, Spain.
Shihua Sun, Qing Xu, Yuejun Guo, Sheng Liang, Yang Fan. 3D Visualization of Multiscale Video Key Frames. 19th International Conference on Information Visualization (IV), 2015. Barcelona, Spain.
Shang Wu，Qing Xu，Jialang Li，Yuejun Guo，A Mixed Noise Removal Algorithm Based on the Maximum Entropy Principle, International Conference on Multimedia and Expo (ICME) 2015.
Marco A. Hudelist and Qing Xu. Multi-Stripe Video Browser for Tablets. International Conference on MultiMedia Modelling(MMM2015).
Klaus Schöffmann, Marco A. Hudelist and Qing Xu. Improving Interactive Known-Item Search in Video with the Keyframe Navigation Tree. International Conference on MultiMedia Modelling(MMM2015).
Yuejun Guo, Qing Xu, Xiu Li, Xiaoxiao Luo. A New Scheme for Trajectory Visualization. Information Visualisation (IV), 2014 18th International Conference on. IEEE, 2014: 40-45.
Xiaoxiao Luo, Qing Xu, Klaus Schoeffmann. F-divergences Driven Key Frame Extraction. Multimedia and Expo (ICME), 2014 IEEE International Conference on. IEEE, 2014: 1-6.
Qing Xu, Yu Liu, Xiu Li, Zhen Yang, Jie Wang, Riccardo Scopigno. Browsing and Exploration of Video Sequences: A New Scheme for Key Frame Extraction and 3D Visualization Using Entropy Based Jensen Divergence. Information Sciences (Elsevier), vol. 278, pp. 736–756, 2014.
Qing Xu, Hailin Jiang, Riccardo Scopigno. A Novel Approach for Enhancing Very Dark Image Sequences. Signal Processing (Elsevier), vol. 103, pp. 309–330, 2014.
Miquel Feixas, Anton Bardera, Jaume Rigau, Qing Xu . Information Theory Tools for Image Processing (SYNTHESIS LECTURES ON COMPUTER GRAPHICS AND ANIMATION #15). Morgan & Claypool Publishers, March 2014.
Màrius Vila, Anton Bardera, Qing Xu, Miquel Feixas,Tsallis Entropy-Based Information Measures for Shot Boundary, Accepted in Special Issue on Human Vision and Information Theory, Signal, Image and Video Processing, Springer, 2012
Qing Xu, Xiu Li, Zhen Yang, Jie Wang, Jianfu Li, Key Frame Selection Based on Jensen-Renyi Divergence, 21st International Conference on Pattern Recognition (ICPR 2012), November 2012, pp. 1892-1895, Tsukuba, Japan, 2012
Daniele Brevi, Hector Agustin Cozzetti, Riccardo Scopigno, and Qing Xu. Effectiveness of Visual Analytics in Supporting the Reasoning on Vehicular Ad-Hoc Networks (poster). IEEE Vehicular Networking Conference (VNC) 2011, pp.138-245, 14-16 Nov. 2011
Daniele Brevi, Qing Xu, Hector Agustin Cozzetti, and Riccardo Scopigno. Demo of “Vis Magna”: a Custom and Interactive Tool for the Visualization of VANET Protocols. IEEE Vehicular Technology Conference (VTC Fall) 2011 , pp.1-2, 5-8 Sept. 2011
Qing Xu, Yu Liu, Ruijie Zhang, Shiqiang Bao, Riccardo Scopigno. Noise Reduction for Path Traced Imaging of Participating Media. 2011 European Signal Processing Conference (EUSIPCO‐2011)
HE Huaiqing , YANG Lei , XU Qing , "Multidimensional Uncertainty Visualization with Parallel Coordinate and Star Glyph", JDCTA: International Journal of Digital Content Technology and its Applications, Vol. 5, No. 6, pp. 412 ~ 420, 2011
Qing Xu, Ruijie Zhang, Yu Liu and Dong Chen. A New Denoising Post-process Based on Partial Least Squares for Ray Tracing. 2011 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP’11)
Qing Xu, Hailin Jiang, Riccardo Scopignot. A New Approach for Very Dark Video Denoising and Enhancement. 2010 IEEE International Conference on Image Processing (ICIP 2010).
Qing Xu, Pengcheng Wang, Bin Long, Miquel Feixas, and Riccardo Scopigno. Selection and 3D Visualization of Video Key Frames. 2010 IEEE Conference on Systems, Man and Cybernetics (SMC2010).
Qing Xu, Miquel Feixas, Riccardo Scopigno. A New Refinement Criterion for Adaptive Sampling in Path Tracing, IEEE International Symposium on Industrial Electronics 2010.
耿中元, 徐庆, 孙济洲. 用于整体光照的最小方差抽样. 天津大学学报. 2010年6月.
Qing Xu, Huaping Chen. Efficient animation rendering based on spatio-temporal coherence. The 1st International Conference on Information Science and Engineering (ICISE2009), Nanjing, China, 18-20 December 2009.
Qing Xu, Rui Zhang. A New Approach to Salt-and-Pepper Noise Removal for Color Image. Fifth International Joint Conference on INC, IMS and IDC (NCM 2009), Seoul, Korea, 25-27 August 2009.
Zhongyuan Geng, Qing Xu, and Jizhou Sun. Object space adaptive sampling for global illumination. 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, pp. 653-657, 2009.3
耿中元, 徐庆, 孙济洲. 改进的光辐射强度估算, 系统仿真学报. 21 (14), 2009.7
He Huaiqing, Wang Tianbao, Xu Qing. Photon Mapping Parallel Based On Shared Memory System. The 6th International Conference on Computer Graphics, Imaging and Visualization, 2009.
He Huaiqing, Wang Tianbao, Xu Qing. Multi-core Parallel of Photon Mapping. The Visual Information Communication International Conference (VINCI09), 2009.
徐庆, 陈东, 华平, 王刚, 房岳楼. 基于模糊不确定性的自适应采样, 计算机辅助设计与图形学学报, Vol.20, No.6, pp. 689-699, 2008.
Qing Xu, Rui Zhang, and. A New Approach to Impulse Noise Removal for Color Image. Proc. IEEE International Conference on Multimedia & Expo 2007 (June 2007), pp. 1667 - 1670.
邢连萍,徐庆. 基于信息熵的蒙特卡罗全局光照的自适应抽样, 计算机工程, 2007年11月, Vol.33, No.21, pp.219-221&225.
Qing Xu, Miquel Feixas, and Jianfeng Zhang. AM-GM Difference Based Adaptive Sampling for Monte Carlo Global Illumination. Lecture Notes in Computer Science 4706 (Proc. ICCSA 2007, August 2007), pp. 602–611, 2007, Springer.
Qing Xu. A New Way to Re-using Paths. Proc. ICCSA 2007, Lecture Notes in Computer Science 4706 (Proc. ICCSA 2007, August 2007), pp. 741–750, 2007, Springer.
Qing Xu, Miquel Feixas, and Jianfeng Zhang. A Novel Adaptive Sampling by Tsallis Entropy. Proc. CGIV 2007 (Fourth International Conference on Computer Graphics, Imaging and Visualization, August 2007), pp. 5-10, 2007, IEEE Computer Society.
Qing Xu, Miquel Feixas, Jianfeng Zhang, and Jizhou Sun. A New Adaptive Sampling Technique for Monte Carlo Global Illumination. Proc. CAD/Graphics 2007, pp. 191-196 (Beijing, China, October 15-18), IEEE Computer Society.
Qing Xu, Lianping Xing, Wei Wang. Adaptive Sampling Based on Fuzzy Inference. Proc. 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia (GRAPHITE 2006, Nov. 2006), pp. 311-317, 2006, ACM Press.
Qing Xu and Zhigeng Pan. Fuzziness Driven Adaptive Sampling for Monte Carlo Global Illuminated Rendering. Computer Graphics International 2006 (June 2006), regular paper, pp.148-153 (Lecture Notes in Computer Science, Volume 4035).
Qing Xu, Wei Wang, Shiqiang Bao. A New computational Way to Monte Carlo Global Illumination. International Journal of Image and Graphics, Vol. 6, No. 1, pp. 23-34, Jan. 2006, World Scientific Publishing.
耿中元, 徐庆, 孙济洲. 入射光复用滤波, 系统仿真学报, 18 (10), 2006.10, pp. 2915-2917.
Qing Xu, Ruijuan Hu, Rui Zhang. Adaptive Sampling with Renyi Entropy in Monte Carlo Path Tracing. Proc. of the 5th IEEE International Symposium on Signal Processing and Information Technology, Dec. 2005, pp. 784-787.
Qing Xu, Liang Ma, Weifang Nie, Peng Li, Jiawan Zhang, Jizhou Sun. Adaptive Fuzzy Weighted Average Filter for Synthesized Image. Lecture Notes in Computer Science 3482 (Proc. ICCSA 2005, May 2005), pp. 292-298, 2005, Springer.
Qing Xu, Shiqiang Bao, Rui Zhang. Adaptive Sampling for Monte Carlo Global Illumination Using Tsallis Entropy. Lecture Notes in Artificial Intelligence 3802 (Proc. CIS 2005, December 15-19, 2005), pp. 989-994, 2005, Springer.
徐庆，鲍世强，李明楚，王炜. 真实感雾的实时绘制．计算机工程，Vol.31, No.23, pp. 172-174, 2005年12月.
徐庆，马亮，李明楚，王炜. 基于蒙特卡罗整体光照计算的真实感图形绘制系统. 计算机工程, Vol.31, No.24, pp. 186-187, 2005年12月.
XU Qing, Li Peng, XU Yuan, Sun Ji-zhou. Alternative Monte Carlo Approach for General Global Illumination. Transactions of Tianjin Univeristy, 10 (4), Oct. 2004: 275-279.
Q. Xu, R. Brunelli, S. Messilodi, et al. Image Coherence Based Adaptive Sampling for Image Synthesis. Lecture Notes in Computer Science, 3044: 693-702, April 2004, Springer-Verlag.
徐庆,孙济洲,胡瑞娟. 蒙特卡罗与准蒙特卡罗相互融合的整体光照. 计算机辅助设计与图形学学报, 16 (9), 2004: 1260-1268.
XU Qing, LIU chun-hong, Zhang Song. A New Computational Way to Monte Carlo Global Illumination. In Fourth International Conference on Virtual Reality and Its Applications in industry, Proceedings of SPIE Vol. 5444, pp. 54-59 (SPIE, Bellingham, WA, March 2004).
LIU chun-hong, XU Qing, Zhang Song. RenderStorm - A Monte Carlo Global Illumination Testbed for Virtual Environment. In Fourth International Conference on Virtual Reality and Its Applications in industry, Proceedings of SPIE Vol. 5444, pp. 83-86 (SPIE, Bellingham, WA, March 2004).
Xu Qing, Sun Jizhou, and Wei Zunce. A Global Illumination Algorithm and its Parallel Implementation. In Proc. of CAD&CG 2001 (Kunming, China, August 20-22, 2001).
Xu Qing, Sun Jizhou, and Shu Yantai. Hybrid of median filtering and average filtering for Monte Carlo Global Illumination. In Proc. of CAD&CG 2001 (Kunming, China, August 20-22, 2001).
Qing Xu, Jizhou Sun, and Zunce Wei. Mixture of Random Walk Solution and Quasi-Random Walk Solution to Global Illumination. In Proc. of Spring Conference on Computer Graphics 2001 (Budmerice, Slovakia, 25-28 April 2001), pp. 211-217. Also published in the IEEE Computer Society Post Conference Proceedings (June 2001).
Qing Xu, Jizhou Sun, and Zunce Wei. Zero Variance Importance Sampling Driven Potential Tracing Algorithm for Global Illumination. In Proc. of International Conference in Central Europe on Computer Graphics and Visualization (Winter School on Computer Graphics), (University of West Bohemia, Plzen, Czech Republic, 05-09 February 2001). SH38-43.
徐庆,魏尊策,孙济洲. 面向并行实现的全局光照计算.计算机应用研究, 2001.7.
徐庆,孙济洲,段忠毅. 面向撞击点的密度估计全局光照计算.天津大学学报, 2000.11, pp. 688-692.
Qing Xu and Jizhou Sun. An Implementation to Lighting Design System. In Proc. of the First International Conference on Image and Graphics (ICIG’ 2000), Tianjin, China, August 2000.
徐庆,孙济洲.分布式图形系统的设计与实现.天津大学学报, 2000.7, pp. 490-493