Haoran Wang

2026-09-01 — 2031-07-01
👤 Personal Information
- 2026‑entry PhD candidate, Agricultural Informatization Technology and Application
- Document Analysis and Pattern Recognition Laboratory, School of Information Science and Technology, Shihezi University
🔬 Research Interests
- Remote‑sensing Change Detection for Cultivated Land and Water Bodies
Water‑body change detection aims to automatically extract dynamic changes of surface water bodies using bi‑temporal remote‑sensing images covering the same geographic area. This task faces many challenges, especially the complex and diverse semantic features of water bodies. Meanwhile, mainstream existing water‑body change detection models struggle to fully capture complex semantics and spatial continuity of water bodies, and their detection performance is vulnerable to interference under diverse environmental backgrounds. For water‑body research, this is reflected in insufficient response to subtle water‑level fluctuations and seasonal wet‑dry alternation. For cultivated‑land research, it is difficult to distinguish spectral confusion between water bodies and cultivated land, as well as dynamic boundary changes caused by farming activities. Both scenarios place higher requirements on the fine‑grained perception capability of models.
Keywords: change detection, cultivated land, semi‑supervised learning, feature extraction, water body
📄 Academic Outputs
- Haoran Wang, Quanqing Ma, Peng Wang, Jien Chen, Qingzhan Zhao, Xuewen Wang, Yuchen Zheng. FSSENet: A Foundation Model‑Based Semantic‑Structural Enhanced Network for remote sensing water body change detection. Pattern Recognition. [DOI]
🏆 Honors & Awards
- National Scholarship for Undergraduates, National Encouragement Scholarship
- Admitted to the PhD program of Agricultural Informatization Technology and Application at Shihezi University via exemption from entrance examination
- University‑level Merit Student, Excellent Individual, Outstanding Graduate, Top‑10 Excellent Graduation Thesis, Academic Model Student, Excellent Communist Youth League Member
- Second Prize in National Mathematical Modeling Contest and other 30 awards at national, provincial and university levels
- 1.
2026-09-03FSSENet: A Foundation Model-Based Semantic-Structural Enhanced Network for Remote Sensing Water Body Change Detection
Submitted.
