I am a Ph.D. candidate in Control Science and Engineering at the Research Institute of Intelligent Control and Systems, School of Astronautics, Harbin Institute of Technology (HIT), Harbin, China.

My research interests include computational optical imaging, image restoration and enhancement, precise visual inspection, computer vision, and deep learning. To date, I have authored or co-authored ~30 publications across journals and conferences, such as TPAMI, TIP, TMM, and TII.

I am open to research collaborations. If you are interested in collaboration or academic exchange, feel free to contact me at yangh23@stu.hit.edu.cn.

🔥 News

• [2026.09] 🎉🎉🎉 One paper was accepted by IEEE TII (IF=9.8). Congratulations to Jintuo!
• [2026.09] 🎉🎉🎉 One paper was accepted by Information Sciences (IF=6). Congratulations to Jingpeng!
• [2026.07] 🎉🎉🎉 One paper was accepted by IECON 2026 (CAA A).
• [2026.07] 🎉🎉🎉 One paper was accepted by IEEE TIP (IF=15.3).
• [2026.06] 🎉🎉🎉 One paper was accepted by IEEE TIM (IF=7). Congratulations to Zhenghan!
• [2026.05] 🎉🎉🎉 One paper was accepted by IEEE TII (IF=9.8).
• [2026.01] 🎉🎉🎉 One paper was accepted by IEEE TMM (CCF A, IF=9.9).
• [2025.12] 🎉🎉🎉 One paper was accepted by IEEE TII (IF=9.8).
• [2025.09] 🎉🎉🎉 One paper was accepted by IEEE TPAMI (CCF A, IF=20.4).
• [2025.05] 🎉🎉🎉 One paper was accepted by IEEE TIM (IF=7).

📝 Representative Publication List

A full publication list is available on ResearchGate and Google Scholar.

• Zero-Shot Learning for Limited Photon Budget Denoising in Structured Illumination Microscopy
  Hong Yang and Xianqiang Yang
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, CCF A, IF=20.4), 2025 [paper]
  A zero-shot SIM denoising framework that trains from a single noisy image stack using SIM-specific resampling and physics-guided self-supervision for low-photon live-cell imaging.

• Multi-View Single Scan Visual State Space Network for Efficient Image Super-Resolution
  Hong Yang, Weihua Liu, and Xianqiang Yang
  IEEE Transactions on Image Processing (TIP, CCF A, IF=15.3), 2026 [paper]
  We propose MVSSN, a multi-view visual state space network for efficient single image super-resolution that considers two-dimensional image topology while maintaining linear-time complexity.

• FASMNet: A Lightweight Frequency-Aware Split-Modulation Network for Efficient Image Super-Resolution
  Hong Yang, Ruohong Xu, and Xianqiang Yang
  IEEE Transactions on Multimedia (TMM, CCF A, IF=9.9), 2026 [paper]
  A compact frequency-aware super-resolution network that dynamically modulates high-, mid-, and low-frequency features for efficient detail recovery.

• PhySISR: A Self-Supervised Super-Resolution Framework for Industrial Vision with Physical Constraints
  Hong Yang, Ruohong Xu, and Xianqiang Yang
  IEEE Transactions on Industrial Informatics (TII, IF=9.8), 2026 [paper]
  A physics-consistent self-supervised super-resolution framework for industrial vision that restores structural details without labeled data.

• Spatially Adaptive Vision Mamba for Efficient Industrial Image Super-Resolution
  Hong Yang, Zhixiang Jia, Zhenghan Ding, Weihua Liu, and Xianqiang Yang
  IEEE Transactions on Industrial Informatics (TII, IF=9.8), 2026 [paper]
  An efficient Mamba-based super-resolution model that uses correlation-guided readout modulation to preserve fine industrial structures with low computational cost.

• Self-Supervised Structured Illumination Microscopy Image Denoising Based on Multiresolution Analysis Resampling
  Hong Yang and Xianqiang Yang
  IEEE Transactions on Instrumentation and Measurement (TIM, IF=7), 2025 [paper]
  A self-supervised SIM denoising method that uses multiresolution-analysis resampling to build training pairs from noisy low-light microscopy data.

• Memory-Guided Adaptive Routing Network for Efficient Image Super-Resolution in Industrial Vision Systems
  Jintuo Wang, Zhenghan Ding, Hong Yang and Xianqiang Yang
  IEEE Transactions on Industrial Informatics (TII, IF=9.8), 2026 [paper]

• Physically-Inspired Self-Supervised Denoising for Structured Illumination Microscopy via Noise Decomposition and Recorruption
  Hong Yang, Ruohong Xu, and Xianqiang Yang
  Biomedical Signal Processing and Control (BSPC, IF=5.7), 2025 [paper]
• Two-Stage Zero-Shot Denoising and Enhancement for Structured Illumination Microscopy
  Hong Yang and Xianqiang Yang
  Digital Signal Processing (DSP, IF=3.4), 2025 [paper]
• Lightweight Industrial Image Super-Resolution via Frequency-Decoupled Global-Local Modeling
  Hong Yang, Tingxin Li, Ruohong Xu, Zhenghan Ding, Zhixiang Jia, and Jingfan Hang
  IECON 2026 - 52nd Annual Conference of the IEEE Industrial Electronics Society (CAA A), 2026 [paper]
• A Type-independent Unknown Parameters Estimation Method for Lead Component
  Hong Yang, Xinpeng Liu, Weihua Liu, and Xianqiang Yang
  IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society (CAA A), 2024 [paper]
• Light and Wood: A Review of Optically Transparent Wood for Architectural Applications
  Hong Yang, Hang Wang, Taoyang Cai, Shangjie Ge-Zhang, Hongbo Mu
  Industrial Crops and Products, 2023 [paper]
• A Fast Template Matching Method for Pose Estimation of Surface Mount Components
  Zhenghan Ding, Hong Yang, Ruohong Xu, and Xianqiang Yang
  IEEE Transactions on Instrumentation and Measurement (TIM), 2026 [paper]
• Knowledge-Guided Multimodal Information Fusion for Few-Shot Defect Segmentation
  Jingpeng Cui, Hong Yang, and Xianqiang Yang
  Information Sciences, 2026 [paper]
• LMA-DETR: A Multi-Scale Detection Framework for Seed Defect Screening
  Hao Li, Hong Yang, Zhuqi Li, Wangyu Wu, Dongkui Chen, Xuanlong He, and Hongbo Mu
  Digital Signal Processing, 2025 [paper]
• MRI-based Diagnostic Model for Alzheimer’s Disease Using 3D-ResNet
  Dongkui Chen, Hong Yang, Hao Li, Xuanlong He, and Hongbo Mu
  Biomedical Physics & Engineering Express, 2025 [paper]
• SwinRes: A Hybrid Mmodel that Effectively Diagnoses COVID‐19 through X‐ray Lung Images
  Xuanlong He, Hong Yang, Jipan Xu, and Hongbo Mu
  International Journal of Imaging Systems and Technology, 2024 [paper]
• Bacnn: Multi-scale Feature Fusion-Based Bilinear Attention Convolutional Neural Network for Wood NIR Classification
  Zihao Wan, Hong Yang, Jipan Xu, Hongbo Mu, and Dawei Qi
  Journal of Forestry Research, 2023 [paper]
• Bo-Densenet: A Bilinear One-Dimensional Densenet Network Based on Multi-scale Feature Fusion for Wood NIR Classification
  Zihao Wan, Hong Yang, Jipan Xu, Hongbo Mu, and Dawei Qi
  Chemometrics and Intelligent Laboratory Systems, 2023 [paper]

💻 Activities / Service

Professional Membership:

• Student Member of IEEE, IEEE Industrial Electronics Society (IES), China Society of Image and Graphics (CSIG)

Conference Reviewer:

• AAAI Program Committee Members (PC) (AAAI Conference on Artificial Intelligence)
• IECON (Annual Conference of the IEEE Industrial Electronics Society)
• CAC (China Automation Congress)

Journal Reviewer:

• IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
• Neural Networks
• Neurocomputing
• Knowledge-Based Systems
• Expert Systems with Applications
• Applied Soft Computing
• Computer Vision and Image Understanding (CVIU)
• Information Sciences
• Journal of Visual Communication and Image Representation (JVCI)
• Biomedical Signal Processing and Control (BSPC)
• Optics & Laser Technology (OLT)
• Pattern Recognition Letters
• Alexandria Engineering Journal
• Signal Processing: Image Communication