Yulun Zhang
Tenured Track Associate Professor
Works on image and video restoration, including super-resolution.
Yulun Zhang's lab at SJTU works on video understanding and computational imaging & photography. 117 papers since 2023, 106 at top venues, mostly NeurIPS and ICLR. 8 PhD students and 7 master's students. 1 alumnus. Applications close .
At a glance
- papers, 2023–2026
- 31/ year
- at T1 venues
- 91%
- PhD students
- 8
- MS students
- 7
- alumni listed
- 1
Papers by yearfrom the lab homepage, 2023–2026
- 32 papers2026 · T1 30 · collecting
- 18 papers2025 · T1 18
- 27 papers2024 · T1 26
- 40 papers2023 · T1 32
T1 venuesOtherVenues: NeurIPS, ICLR, CVPR, ICML, ICCV
Research focuspaper titles that use each topic's words
- super-resolution31 papers
- Video understanding13 papers
- restoration12 papers
- Computational imaging & photography9 papers
- video restoration0 papers
Paper list
From the lab homepage.
202632 papers
- NeurIPS (T1)Accelerating Rectified Flow Models via Trajectory-Aware Caching
- CVPR (T1)AdaSVD: Adaptive Singular Value Decomposition for Large Language Models
- NeurIPS (T1)Bricker to BRACE: A Bracket Exposure RAW Dataset and Restoration Model for Flicker-Banding
- NeurIPS (T1)D2Quant: Accurate Low-bit Post-Training Weight Quantization for LLMs
- CVPRFDenoiseGS: Gaussian Reconstruction Model for Burst Denoising
- NeurIPS (T1)DRScaffold: Boosting Dense-Scene Reasoning in Lightweight Vision Language Models
- ICLR (T1)DVD-Quant: Data-free Video Diffusion Transformers Quantization
- ICLR (T1)FideDiff: Efficient Diffusion Model for High-Fidelity Image Motion Deblurring
- ECCV (T1)Freqformer: Image-Demoir\backslash’eing Transformer via Efficient Frequency Decomposition
- NeurIPS (T1)G2TR: Generation-Guided Visual Token Reduction for Separate-Encoder Unified Multimodal Models
- NeurIPS (T1)GHOST: Geometry-Hierarchical Online Streaming Token Eviction for Efficient 3D Reconstruction
- ICLR (T1)Grounding-IQA: Multimodal Language Grounding Model for Image Quality Assessment
202518 papers
- ICLR (T1)ARB-LLM: Alternating Refined Binarizations for Large Language Models
- ICML (T1)BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution
- ICCV (T1)Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal
- NeurIPS (T1)DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution
- ICLR (T1)Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher
- ICLR (T1)GenDataAgent: On-the-fly Dataset Augmentation with Synthetic Data
- NeurIPS (T1)HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance
- ICML (T1)Human Body Restoration with One-Step Diffusion Model and A New Benchmark
- NeurIPS (T1)OmniVCus: Feedforward Subject-driven Video Customization with Multimodal Control Conditions
- ICML (T1)One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation
- NeurIPS (T1)OSCAR: One-Step Diffusion Codec Across Multiple Bit-rates
- CVPR (T1)OSDFace: One-Step Diffusion Model for Face Restoration
202427 papers
- NeurIPS (T1)2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
- NeurIPS (T1)BiDM: Pushing the Limit of Quantization for Diffusion Models
- NeurIPS (T1)Binarized Diffusion Model for Image Super-Resolution
- CVPR (T1)Binarized Low-light Raw Video Enhancement
- NeurIPS (T1)Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
- CVPR (T1)Deep Equilibrium Diffusion Restoration with Parallel Sampling
- TPAMI (T1)DiffI2I: Efficient Diffusion Model for Image-to-Image Translation
- NeurIPS (T1)ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction
- CVPR (T1)Equivariant Multi-Modality Image Fusion
- ICML (T1)Flexible Residual Binarization for Image Super-Resolution
- CVPR (T1)Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal
- NeurIPS (T1)HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting
202340 papers
- ICLR (T1)Accurate Image Restoration with Attention Retractable Transformer
- ICCV (T1)Alignment-free HDR Deghosting with Semantics Consistent Transformer
- ICLR (T1)Basic Binary Convolution Unit for Binarized Image Restoration Network
- NeurIPS (T1)Binarized Spectral Compressive Imaging
- CVPR (T1)Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction
- CVPR (T1)CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion
- CVPR (T1)CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution
- ICML (T1)Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off
- ICCV (T1)DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
- ICCV (T1)Degradation-Resistant Unfolding Network for Heterogeneous Image Fusion
- ICCV (T1)DiffIR: Efficient Diffusion Model for Image Restoration
- ICCV (T1)Dual Aggregation Transformer for Image Super-Resolution
Where alumni went1 listed
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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