Charles Ling
22 papers · 2015–2026 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(19)
Application Areas
(11)
Deep Learning
(9)
Artificial Intelligence
(7)
Optimization & Theory
(7)
Core Methods
(6)
Learning Types Β· Machine Learning
(5)
Core AI
(4)
Computer Vision
(3)
Natural Language Processing
(3)
Architectures
(3)
Learning Paradigms
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Processing
(3)
Keywords
domain adaptation
(4)
bilevel optimization
(2)
pseudo labeling
(2)
domain generalization
(2)
image editing
(2)
online learning
(2)
non-stationary environment
(2)
diffusion model
(2)
graph domain adaptation
(2)
graph neural network
(2)
source-free domain adaptation
(2)
uncertainty quantification
(1)
model selection
(1)
prototype learning
(1)
feature extraction
(1)
image generation
(1)
unsupervised learning
(1)
transfer learning
(1)
question answering
(1)
semantic segmentation
(1)
Papers
Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure
AAAI 2026
Event-Driven Online Vertical Federated Learning
ICLR 2025
FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning
ICML 2025
Homophily Enhanced Graph Domain Adaptation
ICML 2025
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression
AAAI 2025
MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge
AAAI 2025
On the Benefits of Attribute-Driven Graph Domain Adaptation
ICLR 2025
Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control
ICLR 2025
Textualize Visual Prompt for Image Editing via Diffusion Bridge
AAAI 2025
Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing
CVPR 2025
ZETA: Leveraging Z-order Curves for Efficient Top-k Attention
ICLR 2025
Intersectional Unfairness Discovery
ICML 2024
Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time
ICLR 2024
Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s)
ICLR 2024
Source-Free Unsupervised Domain Adaptation for Question Answering via Prompt-Assisted Self-learning
NAACL 2024
Towards Understanding Evolving Patterns in Sequential Data
NeurIPS 2024
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation
AAAI 2023
Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation
CVPR 2023
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment
AAAI 2023
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
ICLR 2023
Catching Attention with Automatic Pull Quote Selection
COLING 2020
A New Generalized Error Path Algorithm for Model Selection
ICML 2015