Dong Liang
28 papers · 2013–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 15 separate collaboration groups - the largest holds only 29% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Dong Liang?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Wei Wang, Xingyu Qiu, Gongning Luo
4 papers
· 2021–2026
· CVPR, MICCAI, AAAI
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Elucidating the Design Space of Arbitrary-Noise-Based Diffusion Models
CVPR 2026
Finding Local Diffusion Schrodinger Bridge using Kolmogorov-Arnold Network
CVPR 2025
Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction
MICCAI 2025
Is Each Layer Non-trivial in CNN? (Student Abstract)
AAAI 2021
11 papers whose co-authors appear nowhere else under this name
Zero-shot Implicit Neural Manifold Representation (INMR) for Ultra-high Temporal Resolution Dynamic MRI
AAAI 2026
InterGSEdit: Interactive 3D Gaussian Splatting Editing with 3D Geometry-Consistent Attention Prior
ICCV 2025
STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning
MICCAI 2025
Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia
MICCAI 2024
Pathformer3D: A 3D Scanpath Transformer for 360° Images
ECCV 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
NeurIPS 2024
Transfer CLIP for Generalizable Image Denoising
CVPR 2024
PCGAN: Partition-Controlled Human Image Generation
AAAI 2019
Convolutional Interaction Network for Natural Language Inference
EMNLP 2018
Tensor RPCA by Bayesian CP Factorization With Complex Noise
ICCV 2017
SGTD: Structure Gradient and Texture Decorrelating Regularization for Image Decomposition
ICCV 2013