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Benteng Sun

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About Me

Benteng Sun

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

  • Multimodal Understanding & Generation — cross-modal synthesis, language-guided visual generation, modality fusion

  • Generative Modeling & Controllable Generation — structure-guided diffusion, efficient sampling, scalable 2D/3D/video frameworks

  • Computational Imaging & Low-Level Vision — spectral imaging, MRI acceleration, physics-driven restoration, compressed sensing


Selected Publications

Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement
Haijin Zeng*, Benteng Sun*, Yongyong Chen, Jingyong Su, Yong Xu
ICLR 2025 Spotlight · Top 4.79%
PSR-SCI Pipeline
A novel subspace diffusion refinement framework for spectral compressive imaging, recovering high-frequency details from minimal measurements. Achieved 38.14 dB PSNR on KAIST dataset with 10× speedup over existing diffusion models.
Keywords: spectral imaging, sparsity modelling, diffusion refinement

Competitions & Projects

  • 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)