- ⚡ I am a Postdoctoral Fellow at the Center for Mathematical Artificial Intelligence, The Chinese University of Hong Kong, co-advised by Prof. ZENG Tieyong and Prof. Ronald Lok Ming LUI.
- 🔭 I’m currently working on MRI Reconstruction via Deep Learning.
- 📫 Email me at: [email protected]
- ⚡ My homepage: Juncheng Li's HomePage
- 🤔 My open source projects are stored in: MIVRC
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Ph.D student at School of Computer Science & Technology, East China Normal University, Shanghai, China. (09/2016 - 06/2021)
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Bachelor student at School of Computer Science & Technology, Jiangxi Normal University, Nanchang, China. (09/2012 - 07/2016)
| Organization | Supervisor | Position | Time |
|---|---|---|---|
| The Chinese University of Hong Kong | Prof. ZENG Tieyong and Prof. Ronald Lok Ming LUI | Postdoctoral Fellow | 07/2021 - Now |
| Shenzhen University | Prof. Xizhao Wang - IEEE/CAAI Fellow | Research Assistant | 12/2020 - 02/2021 |
| The Chinese University of Hong Kong | Prof. ZENG Tieyong - Director of CMAI | Academic Visitor | 08/2019 - 09/2019 |
| The Chinese University of Hong Kong | Prof. ZENG Tieyong - Director of CMAI | Research Assistant | 05/2018 - 10/2018 |
- From Beginner to Master: A Survey for Deep Learning-based Single-Image Super-Resolution (Under Review)
- Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer (IJCAI 2022)
- Transformer for Single Image Super-Resolution (CVPRW 2022) [Hot]
- Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation (CVPRW 2022)
- FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation (TMM 2022)
- Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution (AAAI 2022)
- Structure-Preserving Deraining with Residue Channel Prior Guidance (ICCV 2021)
- Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing (TMM 2021)
- Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation (ACMMM 2021)
- Edge-guided Composition Network for Image Stitching (PR 2021)
- MDCN: Multi-scale Dense Cross Network for Image Super-Resolution (TCSVT 2020)
- Luminance-aware Pyramid Network for Low-light Image Enhancement (TMM 2020)
- Multi-level Edge Features Guided Network for Image Denoising (TNNLS 2020)
- Soft-edge Assisted Network for Single Image Super-Resolution (TIP 2020)
- Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution (ICCVW 2019, Oral)
- Multi-scale Residual Network for Image Super-Resolution (ECCV 2018) [Hot]