Dr. Jin 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. He was awarded as the young and middle-aged academic leader of the Qing Lan Project in Jiangsu universities in 2022.  Dr. Xiaobo Jin interests lie in the areas of machine learning and computer vision. He has published over 60 papers including international authoritative journals and conferences such as IEEE transactions on NNLS, TIP,ICLR, CVPR, ECAI, ICDM,ICME, TIFS, Pattern Recognition, Information Sciences, 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? 

• (Phd.) Yiming Lin et al.  The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning, ICDM 2025, Long Paper (CCF B)
• (Phd.) Kaichuan Kong et al.  DMFI: A Dual-Modality Log Analysis Framework for Insider Threat Detection with LoRA-Tuned Language Models,  ICDM 2025, Long Paper (CCF B). 
• (Phd. ) Xiaoqiang Kang et al. Can GRPO Boost Complex Multimodal Table Understanding? EMNLP 2025 (CCF B, co-supvisor).
• (Master) Xiang Li et al., Performance is not All You Need: Sustainability Considerations for Algorithms, PRCV 2025 (CCF C).
• (Phd.) Zhiying Li et al., Twin Progressive Generative Adversarial Network For High-Resolution Image Inpainting, ICME 2025 (CCF B).
• (Phd.) Zihan Ye et al., ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning,  ICLR 2025 (CCF A).
• (PG) Fukai Zhang et al.,  Fine-Grained Recognition of Citrus Varieties via Wavelet Channel Attention Network,  Knowledge-Based Systems, 2025 (journal, co-supervisor)
• (Phd.) Xiaoqiang Kang et al.,  Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation, AAAI 2025, (co-supervisor, CCF A)
• (PG) Chong Zhang et al.,  Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning, ACCV 2024 (Asian Conference on Computer Vision),  CCF C.  Acceptance rate: 32%
• (PG) Chong Zhang et al.,  Goal-guided Generative Prompt Injection Attack on Large Language Models,  ICDM 2024, Top conference on data mining.  CCF B.  Acceptance rate: 19.5%
• (PG)  Chong Zhang et al.,  Accelerating Attentional Generative Adversarial Networks with Sampling Blocks,  ICONIP 2024, CCF C.
• (Oxford University) Shreyank N Gowda et al.,  Watt for What: Rethinking Deep Learning's Energy-Performance Relationship,  Workshop on Green Foundation Models ECCV 2024.    
• (PG) Chong Zhang et al., Target-driven Attack for Large Language Models,  ECAI 2024 (European Conference on Artificial Intelligence),  CCF B, Acceptance rate 23%
• (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.  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, ICDM 2023. Top conference on data mining. Acceptance rate: 19.94%, CCF B.
• (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.

Machine Learning

Computer Vision

Web Mining/Natural Language Processing

2025-Now, Senior Associate Professor, Xian Jiaotong-Liverpool University

2019-2024, Associate Professor, Xian Jiaotong-Liverpool University

2013-2019, Associate Professor, Henan University of Technology

2010-2013, Lecturer, Henan University of Technology

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

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