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唐降龙
发布人:赵巍  发布时间:2018-05-04   浏览次数:2370

唐降龙


博士、教授、博士生导师
哈尔滨工业大学模式识别与智能系统研究中心主任


研究方向

  • 模式识别

  • 机器学习

  • 图像处理


联系方式

办公地址:哈尔滨工业大学新技术楼912室

电子邮箱:tangxl@hit.edu.cn


个人简介

唐降龙 教授、博士生导师,1982、1986年获得哈尔滨工业大学学士、硕士学位,1995获哈尔滨工业大学计算机应用技术学科博士学位。开设《先进模式识别》、《运动分析与理解》等博士生课程。负责国家863计划研究项目、国家自然科学基金、省部委基金项目、国际合作项目等二十多项,先后获得国家级科技三等奖1项,省部级科技进步一等奖3项,二等奖1项,三等奖2项。发表论文100余篇,出版专著1部。获发明专利1项。


学术团体任职或兼职

智能科学与智能数据工程国际会议(IScIDE)指导委员会委员

中国人工智能协会理事

黑龙江省人工智能协会副理事长

中国计算机学会高级会员

中国计算机学会人工智能与模式识别专业委员会委员

黑龙江省计算机学会人机交互专业委员会主任

国际期刊《Applied Informatics》编委


学术荣誉

“纸币分析技术及在系列产品中的应用”,2009年黑龙江省科学技术一等奖,排名1

“短道速滑滑行数据测量技术研究”,2006年国家体育总局科技攻关三等奖,排名1

“面向行业PDA开发平台研究与实现”,1999年国防科学技术三等奖,排名1

“掌上型手写电脑”,1996年航天工业总公司科技进步二等奖,排名3

“联机手写体汉字输入分析系统”,1995年国家科技进步三等奖,排名2


主要论著

  

2020年



  • Fei Du, Peng Liu, Wei Zhao, Xianglong Tang. Correlation-Guided Attention for Corner Detection Based Visual Tracking. Conference on Computer Vision and Pattern Recognition (CVPR). 2020 (CCF-A 类会议)

  • Yingnan Zhao, Peng Liu, Chenjia Bai, Wei Zhao, and Xianglong Tang. Obtaining Accurate Estimated Action Values in Categorical Distributional Reinforcement Learning. Knowledge-based Systems. 2020 (SCI收录,JCR-1,IF=5.1)

  • Peng Liu, Chenjia Bai, Yingnan Zhao, et al. Generating Attentive Goals for Prioritized Hindsight Reinforcement Learning. Knowledge-based Systems. 2020 (SCI收录,JCR-1,IF=5.1)

  • Peng Liu, Ting Xiao, Cangning Fan, Wei Zhao, Xianglong Tang, Hongwei Liu. Importance-Weighted Conditional Adversarial Network for Unsupervised Domain Adaptation. Expert System with Applications. 2020 (SCI 收录,JCR-1,IF=4.3)

  • Cangning Fan, Peng Liu, Ting Xiao, et al. Domain Adaptation Based on Domain-invariant and Class-distinguishable Feature Learning using Multiple Adversarial Networks. Neurocomputing. 2020(SCI 收录,JCR-1,IF=4.0)


2019年  


  • Fei Du, Peng Liu, Wei Zhao, and Xianglong Tang. Joint Channel Reliability and Correlation Filters Learning for Visual Tracking. IEEE Transactions on Circuits and Systems for Video Technology. 2019 (SCI收录,JCR-1,CCF-B,IF=3.5)

  • Chang Liu, Peng Liu, Wei Zhao, and Xianglong Tang. Visual Tracking by Structurally Optimizing Pre-trained CNN. IEEE Transactions on Circuits and Systems for Video Technology. 2019 (SCI收录,JCR-1,CCF-B,IF=3.5)

  • Dongfang Zhao, Jiafeng Liu, Rui Wu, Dansong Cheng and Xianglong Tang, Optimistic Sampling Strategy for Data-Efficient Reinforcement Learning, in IEEE Access, vol. 7, pp. 55763-55769, 2019.(SCI收录,IF=2.7)

  • Ting Xiao, Peng Liu, Wei Zhao, Hongwei Liu and Xianglong Tang, Structure preservation and distribution alignment in discriminative transfer subspace learning. Neurocomputing. 2019. 337: 218-334 (SCI 收录,JCR-1, CCF-C,IF=3.2)

  • Hongjiao Guan, Yingtao Zhang, Heng-Da Cheng, Min Xian, Xianglong Tang, BA2Cs: Bounded abstaining with two constraints of reject rates in binary classification. Neurocomputing, 2019, 125-134. (SCI收录,JCR-1 CCF-C,IF=3.2)

  • Chenjia Bai, Peng Liu, Wei Zhao and Xianglong Tang, Guided goal generation for hindsight multi-goal reinforcement learning, Neurocomputing, 2019(SCI收录,JCR-1 CCF-C,IF=3.2)

  • Peng Liu, Yingnan Zhao, Wei Zhao, et al. An exploratory rollout policy for imagination-augmented agents. Applied Intelligence. 2019 (SCI收录,JCR-2, CCF-C, IF=2.0)

  • Depeng GaoJiafeng LiuRui Wu, Xianglong Tang. Fully semisupervised framework for visual domain adaptation. Journal of Electronic Imaging 28.1 (2019): 013040. (SCI收录,IF=0.78)

  • Depeng Gao, Jiafeng Liu, Rui Wu, Dansong Cheng, Xianglong Tang. “Utilizing Relevant RGB-D Data to Help Recognizing RGB Images in Target Domain”. Intertinal Journal of Applied Mathematics and Computer Science (SCI收录, IF=1.694).


2018年


  • Peng Liu, Chang Liu, Wei Zhao*, Xianglong Tang Multi-level Context-Adaptive Correlation Tracking, [J]. Pattern Recognition, 2018-10, DOI: 10.1016/j.patcog.2018.10.013 (SCI收录,IF=3.962)

  • Ting Xiao, Peng Liu, Wei Zhao, Xianglong Tang: Iterative landmark selection and subspace alignment for unsupervised domain adaptation [J]. Journal of Electronic Imaging, 2018,27(03).(SCI收录,IF = 0.78)

  • Fei Du, Peng Liu, Wei Zhao, Xianglong Tang: Spatial-temporal adaptive feature weighted correlation filter for visual tracking [J]. Signal Processing: Image Communication, 67: 58-70 (2018)(SCI收录,IF = 2.073)

  • Chang Liu, Peng Liu, Wei Zhao, Xianglong Tang: Robust Tracking and Redetection: Collaboratively Modeling the Target and Its Context [J]. IEEE Trans. Multimedia, 20(4): 889-902(2018). (SCI收录,CCF-B, IF =3.509)

  • 刘畅, 赵巍, 刘鹏, 唐降龙. 目标跟踪中辅助目标的选择、跟踪与更新[J]. 自动化学报, 2018(7). (EI收录,DOI = 10.16383)

  • 杜飞, 刘鹏, 赵巍, 唐降龙.一种大气湍流环境下的运动目标自适应检测方法[J]. 自动化学报. 2018(EI收录)

  • 白辰甲, 刘鹏, 赵巍, 唐降龙. 基于TD-error自适应校正的深度Q学习主动采样方法[J]. 计算机研究与发展. 2018(EI收录)

  • 赵英男, 刘鹏, 赵巍, 唐降龙. 深度Q学习的二次主动采样方法. 自动化学报[J]. 2018(EI收录)



  2017年


  • Yiran Xue, Peng Liu, Ye Tao, Xianglong Tang: Abnormal prediction of dense crowd videos by a purpose-driven lattice Boltzmann model [J]. Applied Mathematics and Computer Science, 27(1): 181(2017). (SCI收录,IF = 1.42)

  • Jingzhe Jiang, Peng Liu, Zhipeng Ye, Wei Zhao, Xianglong Tang: A hierarchical inferential method for indoor scene classification [J]. Applied Mathematics and Computer Science, 27(4): 839-852 (2017). (SCI收录,IF = 1.42)

  • Songbo Liu, Peng Liu, Zhixun Li, Yingtao Zhang, Weimin Li, Xianglong Tang: A 3D/2D registration of the coronary arteries based on tree topology consistency matching [J]. Biomedical Signal Processing and Control, 38: 191-199 (2017). (SCI收录,IF = 2.214)

  • Peng Liu, Ye Tao, Wei Zhao, Xianglong Tang: Abnormal crowd motion detection using double sparse representation [J]. Neurocomputing, 269: 3-12 (2017)  (SCI收录,IF = 3.317)

  • Peng Liu, Zhipeng Ye, Xianglong Tang, Wei Zhao: Making the torch lighter: Areinforced active sampling framework for image classification [C]. ICIP 2017: 845-849. (CCF-C)

  • Depeng Gao, Rui Wu, Jiafeng Liu, Qingcheng Huang, Xianglong Tang, Peng Liu: RGB-D Object Recognition Using the Knowledge Transferred from Relevant RGB Images [C]. ICONIP (6) 2017: 642-651. (CCF-C)

  • Peng Liu, Chang Liu, Wei Zhao, Xianglong Tang: Extended Kernelized Correlation Tracking with Target Enhancement and Sample Selection [C]. ICTAI 2017: 559-565




  2016年:

  • Ye Zhipeng, Liu Peng, Zhao Wei, Tang Xianglong, Practice makes perfect: An adaptive active learning framework for image classification, NEUROCOMPUTING, 2016, Vol.196(5):95-106, SCI IF 2.392

  • Wei Zhao, Ting Xiao, Peng Liu *, Lei Sun, Jiangchuan Huang, XianglongTang, Radar Model Fusion of Asteroid Toutatis via Optical Images Observed by Chang’e-2 Probe, Planetary and space science, 2016.6, Vol.125, SCI IF 1.942.

  • Zhixun Li, Yingtao Zhang, Huiling Gong, Weimin Li, Xianglong Tang, Automatic coronary artery segmentation based on multi-domains remapping and quantile regression in angiographies, Computerized Medical Imaging and Graphics, Vol.54, December 2016, Pages 55-66, SCI IF 1.385

  • Ye Tao, Peng Liu, Xianglong Tang, Abnormal Prediction of DenseCrowd Videos by Purpose-driven Lattice Boltzmann Model, International Journal of Applied Mathematics and Computer Science, 2016. 1, SCI IF 1.037

  • Ye Tao, Shengjun Cheng, Xianglong Tang, Improving Semi-supervised Self-training with Embedded Manifold Transduction, Transactions of the Institute of Measurement and Control, 2016.9, SCI IF 0.820

  • 赵东方, 赵巍, 刘鹏, 黄长宁, 张宏伟, 唐降龙. 基于空间光学成像的4179号小行星表面反射特性研究, 天文学报, 2016.2

  • Hongjiao Guan, Yingtao Zhang, Min Xian, H.D. Cheng, Xianglong Tang, WENN for individualized cleaning in imbalanced data, ICPR, 2016


2015年:

  • Zhipeng Ye, Peng Liu, Wei Zhao* and Xianglong Tang, Cognition inspired framework for indoor scene annotation. Journal of Electronic Imaging, 24(5), 2015.9

  • Zhipeng Ye, Peng Liu, Wei Zhao* and Xianglong Tang, Hierarchical abstract semantics model for image classification, JEI

  • 刘鹏, 杨雷, 石大明, 唐降龙. Prediction of protein-protein interactions related to protein complexes based on protein interaction networks, BioMed Research International, 2015.5

  • Li, Zhixun, Yingtao Zhang, Guangzhong Liu, Haoyang Shao, Weimin Li, and Xianglong Tang. A robust coronary artery identification and centerline extraction method in angiographies. Biomedical Signal Processing and Control, vol.16 (2015): 1-8

  • Zhipeng Ye, Peng Liu, Xianglong Tang, Wei Zhao, May the torcher light our way: a negative-accelerated active learning framework for image classification. International Conference on Image Processing(ICIP) 2015.9

  • Rui Wu, Zhipeng Ye, Peng Liu, Xianglong Tang, Wei Zhao, Knowledge as action: a cognitive framework for indoor scene classification. International Conference on Image Processing (ICIP) 2015.9


2014年及以前:

  • P. Liu, J. Huang, W. Zhao, X. Wang, L. Meng, X. Tang, Asteroid 4179 Size Resolving via Optical Images Observed by Probe Chang’e-2, Int. Conf. on Asteroids, Comets, Meteors, 2014, Helsinki, Finland.

  • Jiangchuan Huang, Jianghui Ji, Peijian Ye, Xiaolei Wang, Jun Yan, Linzhi Meng, Su Wang, Chunlai Li, Yuan Li, Dong Qiao, Wei Zhao, Yuhui Zhao, Tingxin Zhang, Peng Liu, Yun Jiang, Wei Rao, Sheng Li, Changning Huang, Wing-Huen Ip, Shoucun Hu, Menghua Zhu, Liangliang Yu, Yongliao Zou, Xianglong Tang, et al., The Ginger-shaped Asteroid 4179 Toutatis: New Insights from a Successful Flyby of Chang’e-2, Nature - Scientific Report, www.nature.com/srep/about/press_releases/srep1213.html, 2013.12.

  • 赵巍, 赵旭东, 刘维明, 唐降龙, Long-term Background Memory Based on Gaussian Mixture Model, VCIP2013, 2013.11.

  • Yuru Wang, Xianglong Tang, Qing Cui, Dynamic Appearance Model for Particle Filter Based Visual Tracking. Pattern Recognition, 2012, 45(12): 4510-4523.

  • Yingtao Zhang, H. D. Cheng, Jianhua Huang, Xianglong Tang, An Effective and Objective Criterion for Evaluating the Performance of Denoising Filters, Pattern Recognition. 2012, 45, 2743-2757.

  • Xudong Zhao, Peng Liu, Jiafeng Liu, Xianglong Tang. Background Subtraction Using Semantic-based Hierarchical GMM [J]. IET Electronic Letters, 2012, 48(14): 825 - 827.

  • Y. Liu, H. D. Cheng, J. H. Huang, Y. T. Zhang, X. L. Tang. An Effective Approach of Lesion Segmentation Within the Breast Ultrasound Image Based on Lellular Automata. Journal of Digital Imaging. 2012, 25(5) : 580-590.

  • Y. Liu, H. D. Cheng, J. H. Huang, Y. T. Zhang, X. L. Tang, J. W. Tian, H. Wang. Computer-aided diagnosis system for Breast cancer using B-Mode and color Doppler flow images. Optical Engineering, 2012, 51(4), 043202:1-

  • Y. Liu, H. D. Cheng, J. H. Huang, Y. T. Zhang, X. L. Tang, J. W. Tian,Y.Wang. Computer Aided Diagnosis system for Breast Cancer Based On Color Doppler Flow Imaging. Journal of Medical System. 2012, 36(6):3975-3982.

  • Y. Liu, H. D. Cheng, J. H. Huang, Y. T. Zhang, X. L. Tang, Y. W. Tian. An Effective Non-rigid Registration Approach for Ultrasound Image Based On Demons Algorithm. Journal of Digital Imaging. 2012, DOI: 10.1007/s10278- 012- 9532- 0.

  • M. Xian, J. H. Huang, and Y.T. Zhang and X.L. Tang. Multiple-domain Knowledge-based MRF Model for Ttumor Segmentation in Breast Ultrasound Images, Int. Conf. on Image Processing (ICIP), 2012.

  • 刘晨光, 程丹松, 刘家锋, 黄剑华, 唐降龙, 一种基于交互式粒子滤波器的视频中多目标跟踪算法, 电子学报, 2011, 39(2):260-267.

  • Xudong Zhao, Peng Liu, Jiafeng Liu, Xianglong Tang, Feature Extraction for Classification of Different Weather Conditions, Frontiers of Electrical and Electronic Engineering in China, 2011, 6(2): 339-346.

  • Boyu Zhang, Wei Zhao, Jiafeng Liu, Rui Wu, Xianglong Tang, Character Recognition in Natural Scene Images Using Local Description, Lecture Note on Computer Science, 2012, 7202:193-200, Springer.

  • Liming Yuan, Songbo Liu, Qingcheng huang, Jiafeng Liu, Xianglong Tang. Salient Instance Selection for Multiple-Instance Learning. International Conf. on Neural Information Processing (ICONIP 2012). Lecture Note on Computer Science, 2012, 7665:58-67. Springer.

  • Chenguang Liu, Peng Liu, Jiafeng Liu, Jianhua Huang, Xianglong Tang, 2D Articulated Pose Tracking Using Particle Filter with Partitioned Sampling and Model Constraints, Journal of Intelligent & Robotic Systems, 2010, 58(2): 109-124.

  • Wang Yuru, Huang Jianhua, Liu Jiafeng, Tang Xianglong, An efficient image-registration method based on probability density and global parallax, International Journal of Electronics and Communications, International Journal of Electronics and Communications, 2010, 64(12): 1148-1156.

  • Bo Liu, H.D. Cheng, Jianhua Huang, Jiawei Tian, Xianglong Tang and Jiafeng Liu, Fully automatic and segmentation-robust classification of breast tumors based on local texture analysis of ultrasound images, Pattern Recognition, 2010, 43(1): 280-298.

  • Liu Bo, Cheng H.D., Huang Jianhua, Tian Jiawei, Tang Xianglong, Liu Jiafeng, Probability density difference-based active contour for ultrasound image segmentation, Pattern Recognition, 2010, 43(6): 2028-2042.

  • Zhang Yingtao, Cheng H.D., Tian Jiawei, Huang Jianhua, Tang Xianglong, Fractional subpixel diffusion and fuzzy logic approach for ultrasound speckle reduction, Pattern Recognition, 2010, 43(8): 2962-2970.

  • Sun Da, H. D. Cheng, Liu JiaFeng, Tang XiangLong, A Novel Density Gradient Based Color Edge Detection Approach, New Mathematics and Natural Computation, 2010, 6(1): 1-18.

  • Liu GuoJun, Tang XiangLong, Cheng H. D., Huang JianHua, Liu JiaFeng, A Novel Approach for Tracking High Speed Skaters in Sports Using a Panning Camera, Pattern Recognition, 2009, 42(11): 2922-2935.

  • Wang Yuru, Liu Jiafeng, Liu Guojun, Tang Xianglong, Liu Peng, Observation and Analysis of High-speed Human Motion with Frequent Occlusion in a Large Area, Measurement Science & Technology, 2009, 20(12).

  • 孙达, 刘家锋, 唐降龙, 基于概率密度梯度的边缘检测, 计算机学报, 2009, 32(02): 299-307.

  • Liu Bo, Cheng Hengda, Huang Jianhua, Tian Jiawei, Liu Jiafeng, Tang Xianglong, Automated Segmentation of Ultrasonic Breast Lesions Using Statistical Texture Classification and Active Contour Based on Probability Distance, Ultrasound in Medicine and Biology, 2009, 35(8): 1309-1324.

  • Jin Ye, Song Ling, Tang Xianglong, Du Ming, A Hierarchical Approach for Banknote Image Processing Using Homogeneity and FFD Model, IEEE Signal Processing Letters, 2008, 15(6): 425-428.

  • Jie Li, Xianglong Tang, Jiafeng Liu, Jianhua Huang, Yadong Wang, A Novel Approach to Feature Extraction from Classification Models Based on Information Gene Pairs, Pattern Recognition, 2008, 41(3).

  • Xifeng Tong, Songbo Liu, Jianhua Huang, Xianglong Tang, Local relative location error descriptor-based fingerprint minutiae matching, Pattern Recognition Letters, 2008,29(3).

  • Yanhui Guo, H. D. Cheng, Jianhua Huang, Wei Zhao and Xianglong Tang. Contrast Enhancement Using Texture Histogram and Fuzzy Entropy, New Mathematics and Natural Computation, 2007, 3(3): 349-365.

  • Jie Li, Xianglong Tang, A new classification model with simple decision rule for discovering optimal feature gene pairs, Computers in Biology and Medicine, 2007, 37(11).

  • GuoJun Liu, XiangLong Tang, JianHua Huang, JiaFeng Liu, Da Sun, Hierarchical Model-Based Human Motion Tracking Via Unscented Kalman Filter, IEEE 11th International Conference on Computer Vision (ICCV), 2007.

  • 赵巍, 刘家锋, 唐降龙, 吴锐, 连续字符识别的级联HMM训练算法, 计算机学报, 2007, 30(12): 2142-2150.

  • Jie Li, Xianglong Tang, Wei Zhao, Jianhua Huang, A new framework for identifying differentially expressed genes, Pattern Recognition, 2007, 40(11).

  • Xifeng Tong, Jianhua Huang, Xianglong Tang, Daming Shi, Fingerprint Minutiae Matching Using the Adjacent Feature Vector, Pattern Recognition Letters, 2005, 25(9).

  • Guangling Sun, Jiafeng Liu, Xianglong Tang, Daming Shi, Wei Zhao, Active Discriminate Functions for Handwriting Recognition, Journal of Software, 2005,16(4).

  • Liying Zheng, Xianglong Tang, A New Parameter Control Method for S-GCM, Pattern Recognition Letters, 2005, 26(7): 939-942.

  • 刘国军, 唐降龙, 黄剑华, 刘家锋, 基于模糊小波的图像对比度增强算法, 电子学报, 2005, 33(4):643-646.

  • Hui Zhu, Xianglong Tang, Classifier geometrical characteristic comparison and its application in classifier selection, Pattern Recognition Letters, 2005, 26:829-842.

  • Guangling Sun, Xianglong Tang, Active Discriminant Functions for Handwriting Recognition, ICPR, 2004, 2:602-606.

  • Hui Zhu, Jianhua Huang, Xianglong Tang, Comparing Decision Boundary Curvature, ICPR, 2004, 3:450-454.

  • Hui Zhu, Xianglong Tang, Jiafeng Liu, Jianhua Huang, Training Multilayer Perceptron with Multiple Classifier Systems, Advances in Neural Networks, Springer, 2004, 1:894-899, SCIE.

  • 石大明, 刘家锋, 唐降龙, 舒文豪, 手写汉字识别的非线性动态部件模板, 自动化学报, 2004, 30(3): 390-399.

  • Hassin Abbas H., Xianglong Tang, Jiafeng Liu, Wei Zhao, Printed Arabic Character Recognition Using HMM, Journal of Computer Science and Technology, 2004,19(4).

  • Liying Zheng, Hassin Abbas H., Xianglong Tang, A new algorithm for machine printed Arabic character segmentation, Pattern Recognition Letters, 2004, 25(15).

  • 唐降龙, 孙广玲, 刘家锋, 容军, 一种笔段序列匹配联机汉字识别方法, 计算机研究与发展, 1999, 12.

  • 永井正武, 崔国伟, 舒文豪, 唐降龙, 文字認識技術, トリクップス, 1997 (in Japanese).