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🦸 个人简介 (Biography)

我是郑辉 (Hui Zheng)，目前在厦门大学信息学院攻读人工智能硕士学位 (2023-2026)。在此之前，我于合肥工业大学获得电子信息科学与技术学士学位。

我的研究兴趣主要集中在底层视觉 (Low-level Vision)、2D/3D Gaussian Splatting 以及多源时空数据融合。我热衷于探索如何利用深度学习和多模态大模型解决复杂的感知与重建问题，同时具备从算法设计到全栈落地的完整工程能力。

🔬 核心研究兴趣 (Research Interests)

🔥 最新动态 (News)

🎓 教育背景 (Education)

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2023.09 - 2026.06 | 厦门大学 (Xiamen University)

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2019.09 - 2023.06 | 合肥工业大学 (HFUT)

  • 学位: 工学学士 - 电子信息科学与技术
  • 荣誉: 多次获得校级奖学金 & 三好学生

💼 工作经历 (Work Experience)

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2025.07 - 2025.09 | 华为 (Huawei Technologies)

  • 职位: AI 算法工程师 (实习) | ICT 服务与软件研发管理部
  • 荣誉: 优秀实习生 (Outstanding Intern)
  • 内容: 从事多模态模型微调与部署工作，服务于智慧机房场景。

🛠️ 专业技能 (Skills)

💻 编程语言
Python C/C++ JavaScript Java
🔥 深度学习 & LLM
PyTorch Hugging Face LLM Fine-tuning OpenCV
⚙️ 开发与部署
Linux Docker vLLM Ollama
🌐 全栈框架
Django Flask Vue.js React

📝 论文发表 (Publications)

* Indicates Equal Contribution

Self-supervised Multiplex Consensus Mamba for General Image Fusion
Self-supervised Multiplex Consensus Mamba for General Image Fusion
Yingying Wang, Rongjin Zhuang, Hui Zheng, Xuanhua He, Ke Cao, Xiaotong Tu, Xinghao Ding
AAAI Conference on Artificial Intelligence (AAAI), 2026
📄 Paper
DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling
DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling
Kairun Wen*, Yuzhi Huang*, Runyu Chen, Hui Zheng, Yunlong Lin, Panwang Pan, Chenxin Li, Wenyan Cong, Jian Zhang, Junbin Lu, Chenguo Lin, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Yue Huang, Xinghao Ding, Rakesh Ranjan, Zhiwen Fan
Conference on Neural Information Processing Systems (NeurIPS), 2025
📄 Paper 🌐 Project 💻 Code
Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables
Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables
Zhongnan Cai, Yingying Wang, Hui Zheng, Panwang Pan, Zixu Lin, Ge Meng, Chenxin Li, Chunming He, Jiaxin Xie, Yunlong Lin, Junbin Lu, Yue Huang, Xinghao Ding
Conference on Neural Information Processing Systems (NeurIPS), 2025
📄 Paper 💻 Code
Toward Generalizable Pan-sharpening: Conditional Flow-based Learning Guided by Implicit High-frequency Priors
Toward Generalizable Pan-sharpening: Conditional Flow-based Learning Guided by Implicit High-frequency Priors
Yingying Wang*, Hui Zheng*, Feifei Li, Yunlong Lin, Linyu Fan, Xuanhua He, Yue Huang, Xinghao Ding
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2025
📄 Paper
Learning Diffusion High-Quality Priors for Pan-Sharpening: A Two-Stage Approach With Time-Aware Adapter Fine-Tuning
Learning Diffusion High-Quality Priors for Pan-Sharpening: A Two-Stage Approach With Time-Aware Adapter Fine-Tuning
Yingying Wang, Yunlong Lin, Xuanhua He, Hui Zheng, Keyu Yan, Linyu Fan, Yue Huang, Xinghao Ding
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2025
📄 Paper
Air Quality Inference With Spatial Correlations and Heterogeneity of IoT-Based Monitoring Data
Air Quality Inference With Spatial Correlations and Heterogeneity of IoT-Based Monitoring Data
Hui Zheng, Jialing Huang, Huiming Chen, Zhenlong Xiao, He Fang
IEEE/CIC International Conference on Communications in China (ICCC), 2025
📄 Paper
Diffusion-based continuous feature representation for infrared small-dim target detection
Diffusion-based continuous feature representation for infrared small-dim target detection
Linyu Fan, Yingying Wang, Guoliang Hu, Feifei Li, Yuhang Dong, Hui Zheng, Changqing Lin, Yue Huang, Xinghao Ding
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
📄 Paper 💻 Code
Training-Free Large Model Priors for Multiple-in-One Image Restoration
Training-Free Large Model Priors for Multiple-in-One Image Restoration
Xuanhua He*, Lang Li*, Yingying Wang, Hui Zheng, Ke Cao, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou
arXiv preprint arXiv:2407.13181, 2024
📄 Paper

📦 专利与软著 (Patents & Copyrights)

🏆 荣誉奖项 (Honors & Awards)

🧱 学术服务 (Academic Services)