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Xiaobo Jin

Associate Professor

Calculated based on number of publications stored in Pure and citations from Scopus

Research activity per year

Personal profile

Personal 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. He was 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, TIP, CVPR, ICDM, Pattern Recognition, Information Sciences, IEEE Access, Cognitive Computation and Neucomputation. 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.

What's New? The students I supervise complete the following work:

  • (UG) Zile Huang et al. ,  Better Sampling, towards Better End-to-end small Object Detection, CASA 2024, CCF C.
  • (PG) Fukai Zhang et al.,  Hybrid attention network for citrus disease identification, Computers and Electronics in Agriculture, 2024, Accept.  Top one journal in agriculture.
  • (UG) Haochen Xue et al. , Multi-task Prompt Words Learning for Social Media Content Generation, IJCNN 2024, CCF C.
  • (Phd.) Yiming Lin et al., Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network, International Conference on Data Mining 2023. Top conference on data mining.
  • (Phd.) Zihan Ye et al., Rebalanced Zero-shot Learning, IEEE Transactions on Image Processing, CCF A. 2023.
  • (UG) Haochen Xue et al., Automatic Image Blending Algorithm Based on SAM and DINO, ICONIP 2023. CCF C.
  • (PG) Fukai Zhang, et al., WCANET: Wavelet Channel Attention Network for Citrus Variety Identification. ICIP 2023. CCF C.

Research interests

Machine Learning

Computer Vision

Web Mining/Natural Language Processing



2019-Now, Associate Professor, Xian 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.


INT401 Fundamentals of Machine Learning

INT104 Artificial Intelligence

INT410 Advanced Pattern Recognition

INT411 Reinforcelment Learning

INT307 Multimedia Security System

EEE101 C Programming and Software Engineering 1

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

Education/Academic qualification

PhD, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences

MSc, North Western Polytechnical University

Person Types

  • Staff


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