个人信息
科学研究
教育教学
论著成果

邢向磊

Xing Xiang Lei

部门：智能科学与工程学院

学科：控制科学与工程

职务：

职称：副教授

指导资格：博士生导师
硕士生导师

电话： -

传真：

邮箱： xingxl@hrbeu.edu.cn

邮编： 150001

地址： Building No. 61, Nantong Street 145, Harbin

个人简介

哈尔滨工程大学预聘教授，博士生导师。南京大学本硕博，UCLA访问研究员。现担任智能科学与工程学院智能系统所科研所长，智能系统学报编委。长期从事通用人工智能，船海智能，生物特征识别等领域的基础理论和应用研究工作，先后作为课题主要负责人承担“国家自然科学基金联合重点项目”，“国家自然科学基金面上项目”，“中国人工智能学会-华为学术基金项目”，“极地智能航运项目”等多项科研项目，获得黑龙江省高校科学技术奖（自然科学类）一等奖（1/5），《智能系统学报》优秀论文奖，出版学术专著1部、教育部战略性新兴领域“十四五”高等教育系列教材 2 部，发布团体标准1部，在人工智能顶刊 IEEE T-PAMI，Pattern Recognition，IEEE T-CSVT 和 CVPR，ICML，AAAI 为代表的顶会上发表高水平学术论文 60 余篇，被引用 1000 余次，担任国际会议FAIML 2025分会主席，并做特邀报告。

Xianglei Xing is a Ph.D. supervisor at Harbin Engineering University. He has also served as a visiting researcher at the University of California, Los Angeles (UCLA). Currently, he is the Director of Research at the Institute of Intelligent Systems from the College of Intelligent Systems Science and Engineering and serves as an editorial board member of the CAAI Transactions on Intelligent Systems. Professor Xing’s long-term research interests lie in the fields of Artificial General Intelligence (AGI) and Maritime Intelligence, focusing on both fundamental theories and practical applications. He has led and participated as a principal investigator in several major research projects, including the Joint Key Funds of the National Natural Science Foundation of China (NSFC), NSFC, the CAAI-Huawei MindSpore Academic Award Fund, and the Smart Shipping Program. His academic contributions have been recognized with numerous honors, including the First Prize of the Natural Science Award of Heilongjiang Province for Higher Education Institutions and the Excellent Paper Award from the CAAI Transactions on Intelligent Systems. He has authored one academic monograph and two textbooks under the Ministry of Education's 14th Five-Year Plan for Strategic Emerging Fields. He has published over 60 high-quality research papers in leading journals and conferences such as IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Pattern Recognition, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), CVPR, ICML, and AAAI, with more than 1,000 citations.

教育经历

Ph.D. Nanjing University, Nanjing, China 06/2013
Dissertation: Manifold Learning and sparse representation with
their applications in pattern recognition

B.Sc. Nanjing University, Nanjing, China 06/2006
Electronic Science and Engineering

工作经历

Harbin Engineering University, Harbin, China
Lecturer: 03/2016 to 09/2018

Associate Professor 09/2018 to present

Professor (Pre-employment) 01/2022 to present

University of California, Los Angeles, U.S.A. 09/2017 to 09/2019

Visiting Researcher

Harbin Engineering University, Harbin, China 03/2014 to 03/2016
Postdoctoral Researcher

研究方向

Professor Xing’s long-term research interests lie in the fields of Artificial General Intelligence (AGI) and Maritime Intelligence, focusing on both fundamental theories and practical applications. Specifically, he is interested in Representation Learning, Unsupervised Learning, Generative Model, 3D Computer Vision, Embodied Intelligence, Large Multimodal Model，multi-manifold learning, semi-supervised learning, sparse representation, multi-view learning, metric learning, transfer learning and deep learning.

承担项目

Natural Science Foundation of China (2020): Grand No. 62076078. "Inducing Interpretable Hierarchical-Compositional-Model by Latent Energy Field" (2021-2024), Leading the project

Natural Science Foundation of China (2017): Grand No. 61703119. “Multi-view gait recognition using deep convolutional-Recurrent Neural Networks” (2018-2020), Leading the project

Natural Science Foundation of Heilongjiang Province, China (2017): Grand No. QC2017070. “Human identification at a distance based on deep multi-view metric learning” (2018-2020), Leading the project

Fundamental Research Funds for the Central Universities of China (2016): Grand No. HEUCF160415. “Research on deep multi-view distance metric learning”, Leading the project

Postdoctoral Sustentation Fund of Heilongjiang Province of China (2014): Grand No. LBH-Z14051. “Multi-view gait recognition based on multi-view manifold learning” (2015-2016), Leading the project

Natural Science Foundation of China (2015): Grand No. 61573114. “Multi-view gait recognition based on multi-view distance metric learning” (2016-2019), First cooperator

学术交流

1, Sep. 16, 2017-Sep.5, 2019, U.S.A., Visiting Scholar at University of California, Los Angeles.

2, June.16-20,2019, Long Beach, CA, USA, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, "Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network".

3. January 27–February 1, 2019, Honolulu, Hawaii, USA, Keynote Speaker of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) Workshop on Network Interpretability for Deep Learning,"Inducing Sparse Coding and And-Or Grammar from Generator Network"

4. Nov 08 - 11, 2018, Beijng, China. The 24th International Conference on Pattern Recognition (ICPR-2018), "Learning Multi-view Generator Network for Shared Representation"

5, July 1-5, 2013，Italy，Proc. 9th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC 2013), "Distributed Optimal Cyclotomic Space-Time Coding for Full-Duplex Cooperative Relay Networks"

6, Nov. 29-Dec. 1, 2011，Auckland，Twenty-sixth International Conference on Image and Vision Computing New Zealand， "Gaussian Mixture Models via Direct Nonparametric Discriminant Analysis for Classification of High-Dimensional Data"

招生信息

Master and Doctoral students

本科生授课课程

Pattern Recognition and Computer Vision
Digital Image Processing
Fundamentals and Applications of Marine Information Fields

研究生授课课程

Pattern Recognition
Digital Image Processing
Selected Topics in Artificial Intelligence

实践性教学

教学研究课题

社会兼职

专利成果

[1] Xianglei Xing，Kejun Wang,Tap Yan, Zhuowen Lv. Feature-level fusion method based on data set merging, Patent No：201510306292.6, Open no.：CN104899604A,Open date: 2015.09.09

[2] Kejun Wang，Xianglei Xing，Tao Yan，Zhuowen Lv. Multi-view gait recognition method based on optimal discrimination coupling projection，Patent No：ZL201410386741.8，authorization date: 2017.05.24

[3] Kejun Wang，Zhuowen Lv，Xianglei Xing，Tao Yan. Multi-view gait recognizing based on graph semi-supervised coupling metric method，Patent No：201410619411.9, Open no: CN104463099A, Open date: 2015.03.25

出版著作

Xianglei Xing, Kejun Wang and Weixing Feng (2017). A Fusion Scheme of Local Manifold Learning Methods, in the book: Manifolds - Current Research Areas, Prof. Paul Bracken (Ed.), ISBN 978-953-51-2872-4, Print ISBN 978-953-51-2871-7, InTech, January 1, 2017, DOI: 10.5772/66303. Available from: https://www.intechopen.com/books/manifolds-current-research-areas/a-fusion-scheme-of-local-manifold-learning-methods

发表论文

[1] Xianglei Xing*,  Ruiqi Gao, Tian Han, Song-chun Zhu, Ying Nian Wu. Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE T-PAMI, vol. 44, no. 3, pp. 1162-1179, 2022.  https://andyxingxl.github.io/Deformable-generator/
[2] Xianglei Xing*, Han T, Gao R, et al. Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network, 2019 IEEE Conference on Computer Vision and Pattern Recognition. CVPR-2019: 10354-10363.  https://andyxingxl.github.io/Deformable-generator/
[3] Xianglei Xing*, Tianfu Wu, Song-Chun Zhu, Ying Nian Wu, Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks, 2020 IEEE Conference on Computer Vision and Pattern Recognition. CVPR-2020.
[4] Xianglei Xing*, Song-Chun Zhu, Ying Nian Wu, Inducing Sparse Coding and And-Or Grammar from Generator Network, The Thirty-Third AAAI Conference on Artificial Intelligence Workshop on Network Interpretability for Deep Learning, AAAI-2019
[5] Wenzhe Zhai, Haomiao Li, Chaoqun Zheng, Xianglei Xing* , Multi-view gait recognition with joint local multi-scale and global contextual spatio-temporal features, IEEE Transactions on Circuits and Systems for Video Technology, IEEE T-CSVT, 2025, 35(2): 1123-1135
[6] Wenzhe Zhai, Xianglei Xing*, Mingliang Gao, Qilei Li, Zero-shot Object Counting with Vision-Language Prior Guidance Network, IEEE Transactions on Circuits and Systems for Video Technology, IEEE T-CSVT,  2025, 35(3): 2487-2498
[7] Wenzhe Zhai, Xianglei Xing*, Gwanggil Jeon, Region-Aware Quantum Network for Crowd Counting, IEEE Transactions on Consumer Electronics, IEEE T-CE, 2024, 70(3): 5536-5544
[8] T. Han, Xianglei Xing*, et al. Replicating neuro science observations on ML/MF and AM face patches by deep generative model, 2019 Neural Computation, 2019, vol.31，2348-2367
[9] T. Han#, Xianglei Xing#*, and Y. N. Wu, Learning Multi-view Generator Network for Shared Representation, 2018 24th International Conference on Pattern Recognition (ICPR-2018), pp. 2062-2068.(#equal contribution,*corresponding)
[10] T. Han, Lu Y, Xianglei Xing, et al. Learning generator networks for dynamic patterns, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV-2019): 809-818.
[11] 王科俊，丁欣楠，邢向磊. “多视角步态识别综述”, 《自动化学报》 2019年05期
[12] Xianglei Xing, Ruiqi Gao, et al.,“Deformable Generator Network: Unsupervised Disentanglement of Appearance and Geometry”, 35th International Conference on Machine Learning workshop on Theoretical Foundations and Applications of Deep Generative Models, ICML-2018
[13] Wang K, Wang H, Liu M, Xianglei Xing*. Survey on person re-identification based on deep learning[J]. CAAI Transactions on Intelligence Technology, 2018, 3(4): 219-227.
[14] 王科俊, 邢向磊*, 崔会涛,非接触指纹图像识别算法研究, 《电子学报》, Vol.45,pp.2633-2640,2017.
[15]王科俊; 赵彦东; 邢向磊*,深度学习在无人驾驶汽车领域应用的研究进展, 《智能系统学报》, Vol.13,No.1,2017
[16] Xianglei Xing*, Kejun Wang*, Tao Yan, Zhuowen Lv, “Complete canonical correlation analysis with application to multi-view gait recognition”, Pattern Recognition, Vol. 50, pp. 107-117, 2016.
[17] Xianglei Xing*, Kejun Wang*. “Couple manifold discriminant analysis with bipartite graph embedding for face recognition at a distance”, Signal Processing, Vol. 125, pp.329-335, 2016
[18] Xianglei Xing*, Sidan Du, Kejun Wang*. “Robust Hessian locally linear embedding techniques for high-dimensional data”, Algorithms, vol.9, No.2, pp. 36-56, 2016
[19] Xianglei Xing*, Kejun Wang and Weixing Feng (2017). A Fusion Scheme of Local Manifold Learning Methods, Manifolds - Current Research Areas, Prof. Paul Bracken (Ed.), InTech, DOI: 10.5772/66303.
[20] Xianglei Xing*, Kejun Wang*, Zhuowen Lv, “Fusion of Gait and Facial Features using Coupled Projections for People Identification at a Distance”, IEEE Signal Processing Letters, Vol.22, No.12, pp.2349-2353, Dec. 2015.
[21] Xianglei Xing*, Kejun Wang*, Zhuowen Lv, Yu Zhou, Sidan Du, "Fusion of Local Manifold Learning Methods", IEEE Signal Processing Letters, Vol. 22, No:4, pp. 395-399, April 2015.
[22] Xianglei Xing*, Kejun Wang*, Xiaofei Yang, “A Novel Feature Fusion Scheme for Human Recognition at a Distance”, Lecture Notes in Computer Science series, Springer, volume 9428, pp. 544-552, 2015.
[23] Xianglei Xing, Yao Yu, Hua Jiang, Sidan Du*: "A Multi-Manifold Semi-Supervised Gaussian Mixture Model for Pattern Classification ", Pattern Recognition Letters, Vol. 34, No. 16, pp. 2118-2125, Dec. 2013
[24] Zhuowen Lv*, Xianglei Xing*, Kejun Wang, Donghai Guan, “Class Energy Image Analysis for Video Sensor-Based Gait Recognition: A Review”, Sensors, vol. 15, No. 1, pp. 932-964, 2015
[25] Qiangpeng Yang, Yu Zhou, Xianglei Xing, Sidan Du, “Multi-step-ahead host load prediction using autoencoder and echo state networks in cloud computing”, Journal of Supercomputing, Vol. 71, No. 8, pp. 3037-3053, Aug. 2015.
[26] Kejun Wang, Xianglei Xing*, Xiaofei Yang, “Research on Finger Vein Recognition based on NSST”, Lecture Notes in Computer Science series, Springer, volume 9428, pp. 321-330, 2015.
[27] Kejun Wang*, Xianglei Xing*, Tao Yan, Zhuowen Lv. "Couple Metric Learning Based on Separable Criteria with its Application in Cross-View Gait Recognition", Lecture Notes in Computer Science series, Springer, volume 8833, pp. 347-356, 2014.
[28] Kejun Wang*, Ying Liang, Xianglei Xing, Rongyi Zhang, “Target detection algorithm based on Gaussian mixture background subtraction model”, Lecture Notes in Electrical Engineering, Springer, volume 336, pp. 439-447,2015.
[29] Xianglei Xing, Sidan Du, Hua Jiang: "Semi-Supervised Nonparametric Discriminant Analysis ", IEICE TRANS. INF. & SYST. Vol.E96-D, No.2, Feb. 2013, pp. 375-378
[30] Xianglei Xing, Sidan Du, Yu Zhou, Yao Yu, Hua Jiang: "Gaussian Mixture Models via Direct Nonparametric Discriminant Analysis for Classification of High-Dimensional Data", Twenty-sixth International Conference on Image and Vision Computing New Zealand, Auckland, pp.365-379, Nov. 29 - Dec. 1, 2011. ISBN: 978-0-473-20281-1
[31] Hua Jiang, Xianglei Xing, Kanglian Zhao, Sidan Du: "OFDM-Based STBC with Low End-to-End Delay for Full-Duplex Asynchronous Cooperative Systems", ETRI Journal, Vol. 35, No. 4, Aug. 2013, pp. 710-713
[32] Hua Jiang, Xianglei Xing, Sidan Du: "Distributed Optimal Cyclotomic Space-Time Coding for Full-Duplex Cooperative Relay Networks", Proc. 9th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC 2013), Italy, July 1-5, 2013, pp.1504-1508
[33] Xianglei Xing, Sidan Du: "Parallel Implement of the H.264 Video Encoder Based on Cluster of Workstation", Journal of Southeast University (Natural Science Edition), Vol.38, No.6, Nov 2008, pp. 949 - 954
[34] Xianglei Xing, Yu Zhou, Sidan Du: "Power Management Software Based on Embedded Linux System", Computer Engineering, Vol.36, No.1, 2010, pp. 253 - 255.
[35] Xianglei Xing, Yu Zhou, Sidan Du: "On inter-processor communication mechanism based on ARM11 MPCORE", Computer Applications and Software, Vol.26, No.5, 2009, pp. 9 - 10, 110.

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邢向磊