Xiaobo Jin

Profile

Dr. Jin(靳小波) holds PhD in Pattern Recognition and Intelligent System from National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, MSc in Computer Software and Theory from North Western Polytechnical University. In 2009-2010, he was a senior development engineer in China Center for Information Industry Development. He worked as a Lecturer (2010-2013) and Associate Professor (2014-2019) in the School of Information Sciences and Engineering, Henan University of Technology. His teaching experience closely relates to programming, algorithm design and data structure, optimization, image and vision. In 2019, he was awarded as "Best Teacher in My Heart" by 2019 graduate students at the 9th "I Love My Teacher" Program of Henan University of Technology. In addition, he was also awarded as the young and middle-aged academic leader of the "Qing Lan Project" in Jiangsu universities in 2021 (江苏省高校青蓝工程中青年学术带头人).

Dr. Xiaobo Jin' interests lie in the areas of machine learning and computer vision. He has published over 50 papers including international authoritative journals and conferences such as IEEE transactions on NNLS, CVPR, Pattern Recognition, Information Sciences, IEEE Access, Cognitive Computation, Neucomputation and ICPR. He has presided two Natural Science Fund of China projects. As a main explorer, he participated in 4 natural science funds. Dr. Jin attended four international machine learning competitions including Web Spam Challenge 2007/2008, ECML 2010 Discovery Challenge, Baidu Cup Challenge 2016 (as the team leader) and won four champions.
  • Qualifications

    • PhD, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
    • MSc, North Western Polytechnical University
  • Experience

    • 2019-Now, Associate Professor, Xi'an Jiaotong-Liverpool University
    • 2013-2019, Associate Professor, Henan University of Technology
    • 2010-2013, Lecturer, Henan University of Technology
    • 2009-2010, Senior development Engineer, China Center for Information Industry Development.
  • Research interests

    • computer vision
    • web mining
    • machine learning
  • Articles

    • DJ Liu, GG Geng, XB Jin, W Wang,An efficient multistage phishing website detection model based on the CASE feature framework: Aiming at the real web environment,Computers & Security 110, 102421,2021
    • J Miao, Y Ping, Z Chen, XB Jin, P Li, L Niu,Unsupervised feature selection by non-convex regularized self-representation,Expert Systems with Applications (IF: 5.45) 173, 2021
    • Chenling Qu; Ziwei Wang; Xiaobo Jin; Xueke Wang; Dianxuan Wang,A moisture content prediction model for deep bed peanut drying using support vector regression, Journal of Food Process Engineering( IF 1.703 ) ,2020
    • Guang-Gang Geng, Zhi-Wei Yan, Jong-Hyouk Lee, Xiao-Bo Jin, Dong-Jie Liu,An Efficient Antiphishing Method to Secure eConsume, IEEE Consumer Electronics Magazine, 2019
    • Xiao-Bo Jin, Xu-Yao Zhang et al., Stochastic Conjugate Gradient Algorithm with Variance Reduction, IEEE Transaction on Neural Networks and Learning Systems, JCR Q1 (11.68),2018
    • Xiao-Bo Jin, Cheng-Lin Liu et al., Regularized margin-based conditional log-likelihood loss for prototype learning, Pattern Recognition, JCR Q1 (5.90),2010
    • Xiao-Bo Jin, Guang-Gang Geng, et al., Approximately optimizing NDCG using pair-wise loss, Information Sciences, JCR Q1 (5.52),2018
    • Xiao-Bo Jin, Guo-Sen Xie, et al.,Accelerating Infinite Ensemble of Clustering by Pivot Features, Cognitive Computation, JCR Q1 (4.29),2018
    • Xiao-Bo Jin, Guo-Sen Xie et al., Discriminant Zero-Shot Learning with Center Loss, Cognitive Computation, JCR Q1 (4.29), 2019
    • Miao, Jianyu; Cao, Heling; Jin, Xiao-Bo et al.; Joint Sparse Regularization for Dictionary Learning, Cognitive Computation, JCR Q1(4.29),2019
    • Guo-Sen Xie, Xiao-Bo Jin∗ et al., From Class-Specific to Class-Mixture: Cascaded Feature Representations via Restricted Boltzmann Machine Learning, IEEE Access, JCR Q1 (4.10),2018
    • Guo-Sen Xie, Xiao-Bo Jin et al., Retargeted Multi-View Feature Learning With Separate and Shared Subspace Uncovering, IEEE Access, JCR Q1 (4.10),2018
    • Xiao-Bo Jin, Guang-Gang Geng et al., Combination of multiplebipartite ranking for multipartite web content quality evaluation, Neurocomputing, JCR Q1 (4.07),2015
    • He-ling Cao, Shu-juan Jiang et al., Theoretical analysis on fault localizaton formulas by coincidental correctness, Acta Electronica Sinica(电子学报), 2018
    • Xiao-Bo Jin, Guo-Sen Xie et al., Nonconvex Matrix Completion with Nesterov’s Acceleration, Big Data Analytics, 2018
    • Guo-Sen Xie, Xiao-Bo Jin et al.,Graphical Representation and Similarity Analysis of DNA Sequences Based on Trigonometric Functions, Acta biotheoretica, 2018
  • Proceedings

    • Haotian Xu, Xiaobo Jin, Qiufeng Wang, and Kaizhu Huang,Multi-Scaled Attention Consistency for Multi-Label Image Classification,ICONIP 2020
    • Xiao-Bo Jin, Guo-Sen Xie et al., Beyond Attributes: High-order Attribute Features for Zero-shot Learning, In Compact and Efficient Feature Representation and Learning workshop of ICCV 2019, 2019.
    • Xie, Guo-Sen; Liu, Li; Jin, Xiaobo et al.; Attentive Region Embedding Network for Zero-shot Learning Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) ,2019 (CCF A class, top conference)
    • Jin, Xiao-Bo; Geng, Guang-Gang et al.; Multi-label learning vector quantization algorithm Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012),2012, CCF C class
    • Jin, Xiaobo; Hou, Liu Xinwen et al. Prototype learning with margin-based conditional log-likelihood loss,2008 19th International Conference on Pattern Recognition, 2008, CCF C class
    • Jin, Xiaobo; Hou, Xinwen et al.; Multi-class AdaBoost with hypothesis margin 2010 20th International Conference on Pattern Recognition ,2010, CCF C class
    • Geng, Guang-Gang; Yan, Zhi-Wei; Zeng, Yu; Jin, Xiao-Bo*; RRPhish: Anti-phishing via mining brand resources request 2018 IEEE International Conference on Consumer Electronics (ICCE) ,2018
    • Zhang, Xi; Zeng, Yu; Jin, Xiao-Bo et al.; Boosting the phishing detection performance by semantic analysis ,2017 ieee international conference on big data (big data) ,2017
    • Jin, Xiao-Bo; Geng, Guang-Gang et al.; Statistical Entity Ranking with Domain Knowledge Natural Language Understanding and Intelligent Applications ,2016
    • Zhang, Dexian; Jin, Xiao-Bo; Build decision tree on support vector machine 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) ,2011
    • Huo, Quan-gong; Jin, Xiao-Bo et al. Multi-label classification for Oil Authentication 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery ,2012
    • Jin, Xiao-Bo; Yu, Junwei et al.; Multi-partite ranking with multi-class AdaBoost algorithm 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery ,2012
    • Geng, Guang-Gang; Jin, Xiao-Bo et al.; Evaluating web content quality via multi-scale features , 2008
    • Geng, Guang-Gang; Wang, Chun-Heng; Li, Qiu-Dan; Xu, Lei; Jin, Xiao-Bo; Boosting the performance of web spam detection with ensemble under-sampling classification,Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)
  • Books, monographs, compilations and manuals

    • 2016 Computer Vision Metrics-Survey, Taxonomy, and Analysis, translation
    • 2016 Python Data Science Essentials, translation
    • 2015 Apache Mahout Cookbook, translation
  • Grants

    • 2019–2021,PI U1804159 (NSFC), Research on Learning to Rank Algorithm in Commodity Search,480k
    • 2012-2014,PI 61103138 (NSFC), Learning to Rank on Webpages under Web Spam Situation, Young Fund, 210k
    • 2017-2019 61602154 (NSFC), Software Fault Location Based on Frequent Subgraph Mining and Particle Swarm Optimization, Third Participant
    • 2013-2015 61203265 (NSFC), Discovery based on directed collaborative mechanisms of different cancers and miRNA associated networks, Second Participant.
    • 2013-2015 61202099 (NSFC), Research on Data Security Aggregation Mechanism and Method in Vehicle Ad Hoc Network, Third Participant.
  • Professional service activities

    • Reviewer, Cognitive Computation, Pattern Recognition, ICPR
    • Member, Document Image Analysis and Recognition Committee
    • Member, China Society of Image and Graphics Membership
  • Teaching activities

    • INT104 Artificial Intelligence
    • INT 410 Advanced Pattern Recognition
    • INT411 Reinforcelment Learning
    • INT 307 Multimedia Security System
    • EEE101 C Programming and Software Engineering 1
  • Courses taught

    • INT104 Artificial Intelligence
    • INT411 Reinforcement Learning
    • INT 410 Advanced Pattern Recognition
    • INT307 Multimedia Security Systems
    • EEE101 C Programming Language
  • Awards and honours

    • 2021,Young and Middle-aged Academic Leader of "Cyan and Blue Project" in Jiangsu universities (江苏省高校青蓝工程中青年学术带头人)
    • 2019 "Best Teacher in My Heart" by 2019 graduate students at the 9th "I Love My Teacher" Program of Henan University of Technology.
    • 2016 First Prize, CCF Challenge on NLP and Intelligent Analysis,Baidu Cup, Team Leader
    • 2010 First Prize, ECML PKDD Discovery Challenge, prestigious academic competition in machine learning and data mining, funded by Google
    • 2008 First Prize, Web Spam Challenge, AIRWeb, major competition in web spam
    • 2007 First Prize, Web Spam Challenge, AIRWeb, major competition in web spam
  • Telephone

    +86 (0)512-81884881
  • Email

    Xiaobo.Jin@xjtlu.edu.cn
  • Address

    EE508
    Suzhou Dushu Lake Science and Education Innovation District
    Suzhou Industrial Park
    Suzhou
    P.R.China
    215123