Dong Liang
26 papers · 2013–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (10)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(50)
π§¬
Topic Evolution
π
Conference Pioneer
π₯
Unstoppable
(5)
β‘
Prolific Year
(7)
π
Century Club
(24)
ποΈ
Keyword Collector
(105)
β
The Questioner
Conferences
AAAI (8)
MICCAI (6)
ICCV (4)
CVPR (3)
IJCAI (2)
ECCV (1)
EMNLP (1)
NIPS (1)
Top co-authors
Keywords
attention mechanism
(3)
diffusion model
(3)
image restoration
(3)
image generation
(2)
contrastive learning
(2)
semantic segmentation
(2)
generative adversarial network
(2)
convolutional neural network
(2)
low-light image enhancement
(2)
image synthesis
(2)
optimal transport
(1)
k-means clustering
(1)
feature extraction
(1)
domain generalization
(1)
model architecture
(1)
pose estimation
(1)
semantic analysis
(1)
multimodal learning
(1)
domain adaptation
(1)
natural language inference
(1)
Papers
MultiMedBench: A Scenario-Aware Benchmark for Evaluating Knowledge Editing in Medical VQA
AAAI 2026
Zero-shot Implicit Neural Manifold Representation (INMR) for Ultra-high Temporal Resolution Dynamic MRI
AAAI 2026
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data
IJCAI 2025
InterGSEdit: Interactive 3D Gaussian Splatting Editing with 3D Geometry-Consistent Attention Prior
ICCV 2025
Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction
MICCAI 2025
StructSR: Refuse Spurious Details in Real-World Image Super-Resolution
AAAI 2025
VODiff: Controlling Object Visibility Order in Text-to-Image Generation
CVPR 2025
Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach
MICCAI 2025
Finding Local Diffusion Schrodinger Bridge using Kolmogorov-Arnold Network
CVPR 2025
STMDiff: Spatiotemporal Matching Diffusion Model for Dual-Time-Point Total-body PET/CT Imaging via Contrastive Learning
MICCAI 2025
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
NIPS 2024
G2L-CariGAN: Caricature Generation from Global Structure to Local Features
AAAI 2024
Transfer CLIP for Generalizable Image Denoising
CVPR 2024
Pathformer3D: A 3D Scanpath Transformer for 360Β° Images
ECCV 2024
Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia
MICCAI 2024
k-t Self-Consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging
MICCAI 2024
SRE-CNN: A Spatiotemporal Rotation-Equivariant CNN for Cardiac Cine MR Imaging
MICCAI 2024
Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery
ICCV 2023
ALL-E: Aesthetics-guided Low-light Image Enhancement
IJCAI 2023
Semantically Contrastive Learning for Low-Light Image Enhancement
AAAI 2022
I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection
AAAI 2022
Is Each Layer Non-trivial in CNN? (Student Abstract)
AAAI 2021
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