You can contact me by zhiyu.jiang.chn at gmail dot com (preferred) or institutional email: jiangzhiyu at nwpu dot edu dot cn.

Zhiyu Jiang is a Tenured Associate Professor at Northwestern Polytechnical University (NWPU), working on computer vision, remote sensing scene understanding, and intelligent unmanned systems. His recent research emphasizes cross-domain visual learning, few-shot/low-shot perception, and multimodal semantic understanding for real-world applications.

News:

• 2026, Multiple new papers accepted/published in IEEE T-GRS, Pattern Recognition, Expert Systems with Applications, and related venues.
• 2025, Appointed as Ph.D. supervisor (Computer Science and Technology, NWPU).
• 2025, Served in multiple international conference leadership roles (Program Co-Chair / TPC Chair / Publication Chair).
• 2024-2026, Continued invited talks on cross-domain visual semantic perception and multimodal learning.
• 06/2018, Scene Content Parsing for Visual Image Data, doctoral dissertation. [Web]

Work Experience

• 2026-now, Tenured Associate Professor, Northwestern Polytechnical University, China.
• 2021-2025, Associate Professor (tenure-track), Northwestern Polytechnical University, China.
• 2020-2021, Associate Professor, Talent Zone, Northwestern Polytechnical University, China.
• 2018-2020, Postdoctoral Research Fellow, Northwestern Polytechnical University, China.

Research

My current research topics include:

• Computer vision and remote sensing scene understanding.
• Few-shot / low-shot learning, cross-domain adaptation, and open-world recognition.
• Hyperspectral image analysis: classification, anomaly detection, and target detection.
• Semantic segmentation and change detection for UAV and satellite imagery.
• Multimodal learning for intelligent unmanned systems and embodied perception.

Recent Publications

Links to: [Full List] [Online Demo] [dblb]

Video-based road detection via online structural learning
Y. Yuan, Z. Jiang, and Q. Wang. Neurocomputing 2015.
[Link] [Demo] [PDF] [Online Demo]

Video-based road detection is a crucial enabler for the successful development of driver assistant and robot navigation systems. But reliable detection is still on its infancy and deserves further research. In order to adapt to the situation consisting of environmental varieties, an online framework is proposed focusing on exploring the structure cue of the feature vectors.

Adaptive Road Detection towards Multiscale-Multilevel Probabilistic Analysis
Z. Jiang, Q. Wang, and Y. Yuan. ChinaSIP 2014. Best Paper Award.
[Link] [Demo] [PDF] [Online Demo]

Vision-based road detection is a challenging problem because of the changeable shape and varying illumination. Though many efforts have been spent on this topic, the achieved performance is far from satisfactory. To this end, this paper formulates a Bayesian method which simultaneously explores the multiscale-multilevel clues that are considered to be complementary.

Professional Activities

Reports (Selected)

• Invited Speaker, Cross-Domain Visual Semantic Perception, ICCCV 2025, Wuhan, China.
• Invited Speaker, From Visual Understanding to Multimodal Learning, ICMEE 2024, Xi'an, China.
• Invited Speaker, Advances in Computer Vision: Pixel-Level Semantic Understanding, ICCCV 2024, Tianjin, China.
• HDPA: Hierarchical Deep Probability Analysis for Scene Parsing, IEEE ICME 2017, Hong Kong, China.
• Adaptive Road Detection towards Multiscale-Multilevel Probabilistic Analysis, IEEE ChinaSIP 2014, Xi'an, China.

Editorial board (Selected)

• Guest Editor, Remote Sensing (Special Issues in 2018 and 2025), MDPI.
• Early-Career Editorial Board, Robot Learning (2025-2027).
• Junior Editorial Board Member, Complex Engineering Systems (since 2022).
• Editorial Board Member, American Journal of Electrical and Computer Engineering.

Reviewer

• Transactions and Journals (selected)
  • IEEE Transactions on Geoscience and Remote Sensing (IEEE T-GRS), since 2018.
  • IEEE Transactions on Cybernetics (IEEE T-CYB), since 2016.
  • IEEE Transactions on Image Processing (IEEE TIP), since 2025.
  • IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT), since 2018.
  • Pattern Recognition / Neural Networks / Neurocomputing (Elsevier), long-term reviewer.
• International Conferences
  Served as Program Co-Chair / Track Chair / TPC member for 100+ international conferences.

Honors and Awards

• National Teaching Achievement Award (Second Prize), 2023.
• First Prize, Science and Technology Progress Award, Chinese Society of Aeronautics and Astronautics, 2022.
• IEEE ChinaSIP Best Paper Award, IEEE Signal Processing Society, 2014.
• Outstanding Reviewer, Pattern Recognition / Neurocomputing / CVIU.