About Me

I am Benteng Sun (孙奔腾), an undergraduate student in Data Science (Mathematics Category) at Harbin Institute of Technology, Shenzhen (graduating in 2026). My research centers on machine learning, sparse representation, and computational imaging, advised by Prof. Yongyong Chen.
I have published at ICLR and participated in top-tier competitions. Currently, I am exploring efficient and controllable generation paradigms, aiming to build scalable frameworks for images, videos, and 3D content.
📧 Contact: SMARK2019@outlook.com
Research Interests
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Multimodal Understanding & Generation — cross-modal synthesis, language-guided visual generation, modality fusion
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Generative Modeling & Controllable Generation — structure-guided diffusion, efficient sampling, scalable 2D/3D/video frameworks
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Computational Imaging & Low-Level Vision — spectral imaging, MRI acceleration, physics-driven restoration, compressed sensing
Selected Publications
Keywords: spectral imaging, sparsity modelling, diffusion refinement
Competitions & Projects
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The 19th “Challenge Cup” National Competition First Prize
Achieved over 95% accuracy in radar-infrared fusion object detection under limited-sample, noise-intensive conditions. -
NTIRE Challenge (CVPR 2025)
Developed a diffusion-based image restoration system, compressing model parameters from 1.77B to 2.2M while retaining high visual quality. -
MetaMusic: Cross-Modal Music-Driven Visual Generation Top 1/83
Cross-modal generation pipeline using CLIP embeddings for music-to-image translation. 💻 Project
Honors & Awards
- First Prize (National), "Challenge Cup" — MoE, PRC, 2024
- Meritorious Winner (Top 6%), Mathematical Contest in Modeling — COMAP, USA, 2024
- First Prize, 15th Chinese Mathematics Competition, 2023
- Champion (1/83), Freshman Annual Research Project — HITSZ, 2023
Scholarships
- National Scholarship (Top 0.2%) — MoE, PRC, 2024–2025
- High-Level Innovation Award (Top 0.1%) — HIT, 2024 (Awarded 50,000 RMB)