Scholar
Ruihao Xia
Google Scholar ID: xvFJmwIAAAAJ
East China University of Science and Technology
Citations & Impact
Citations
72
H-index
3
i10-index
2
Publications
12
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Honors and Awards: 2025 Principal Investigator of the Interdisciplinary Innovation and Education-Integration Project, Class IV Peak Discipline of “Intelligent Science and Technology” in Shanghai; 2025 “Zhangjiang Shu Youbo” Ph.D. Cultivation Program in ECUST; 2021 Shanghai Excellent Graduates; 2020 National Undergraduate Smart Car Competition 2nd Prize; 2019-2020 National Scholarship; 2019 Shanghai Undergraduate Creative Robot Competition 2nd Prize; 2018-2019 National Scholarship
- - Publications: Towards Scalable and Consistent 3D Editing (Under Review 2025); Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation (NeurIPS 2024); CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation (ICCV 2023); Towards Natural Image Matting in the Wild via Real-Scenario Prior (Submitted to IEEE TCSVT)
Research Experience
- - Algorithm Research Intern, Imaging Algorithm Research Department, Quality Enhancement Center (2024.05 - 2024.09)
- - Algorithm Research Intern, Central Research Institute, Advanced Computing and Storage Laboratory (2024.09 - 2024.12)
Education
- - PhD: Control Science and Engineering, East China University of Science and Technology (2021 - Present), Supervisor: Prof. Yang Tang
- - Visiting PhD Student: School of Computing and Information Systems, Singapore Management University (2025.01 - 2025.10), Supervisor: Prof. Pan Zhou
- - B.S.: Mechanical Engineering, East China University of Science and Technology (2017 - 2021)
Background
- - Research Interests: 3D AI Generation, Event-based Vision, Cross-Modality Domain Adaptation, Semantic Segmentation
- - Professional Field: Computer Vision and Deep Learning
- - Brief Introduction: PhD student at East China University of Science and Technology (ECUST), specializing in Computer Vision and Deep Learning.
Co-authors