Ling Wang
15 papers · 2013–2026 · 10 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (40) 🏃 Academic Marathon · Half 🐣 Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
💎
Century Club · Bronze
🗃️
Keyword Collector
(85)
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(6)
Computer Vision
(6)
Deep Learning
(6)
Learning Types · Machine Learning
(6)
Core AI
(5)
Processing
(5)
Core Methods
(4)
Analysis
(3)
Models
(3)
Application Areas
(2)
Learning Paradigms · Machine Learning
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Types · Deep Learning
(2)
Natural Language Processing
(1)
Keywords
few-shot learning
(2)
image dehazing
(2)
image restoration
(2)
catastrophic forgetting
(1)
adversarial learning
(1)
vision transformer
(1)
metric learning
(1)
supervised learning
(1)
action recognition
(1)
variational inference
(1)
batch normalization
(1)
event camera
(1)
attention mechanism
(1)
knowledge distillation
(1)
in-context learning
(1)
multi-task learning
(1)
semantic segmentation
(1)
point cloud
(1)
video understanding
(1)
continual learning
(1)
Papers
Context-aware Graph Meta-learning
AAAI 2026
From Events to Clarity: The Event-Guided Diffusion Framework for Dehazing
CVPR 2026
Scan Clusters, Not Pixels: A Cluster-Centric Paradigm for Efficient Ultra-high-definition Image Restoration
CVPR 2026
Dropout the High-Rate Downsampling: A Novel Design Paradigm for UHD Image Restoration
WACV 2025
FLIQA-AD: a Fusion Model with Large Language Model for Better Diagnose and MMSE Prediction of Alzheimer’s Disease
NAACL 2025
PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning
IJCAI 2025
AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation
ECCV 2024
Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments
ICML 2024
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling
IJCAI 2024
3D Implicit Transporter for Temporally Consistent Keypoint Discovery
ICCV 2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
ICML 2023
Rehearsal-free Continual Language Learning via Efficient Parameter Isolation
ACL 2023
Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation
CVPR 2022
Supervised Learning via Euler's Elastica Models
JMLR 2015
Directed Acyclic Graph Kernels for Action Recognition
ICCV 2013