Mengzhu Wang
18 papers · 2023–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Cross-Pollinator (9)
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Interdisciplinary Bridge
π
Grand Slam
ποΈ
Keyword Collector
(91)
β‘
Prolific Year
(6)
π
Century Club
(15)
β
The Questioner
Conferences
AAAI (6)
IJCAI (6)
ICML (2)
NIPS (2)
CVPR (1)
ICLR (1)
Top co-authors
Keywords
graph neural network
(5)
contrastive learning
(2)
low-rank adaptation
(2)
graph representation learning
(2)
representation learning
(2)
domain generalization
(2)
graph domain adaptation
(2)
image restoration
(2)
transfer learning
(2)
attention mechanism
(1)
self-supervised learning
(1)
dynamic graph learning
(1)
graph classification
(1)
knowledge transfer
(1)
decision making
(1)
offline reinforcement learning
(1)
batch normalization
(1)
in-context learning
(1)
source-free domain adaptation
(1)
data augmentation
(1)
Papers
Learning to Cluster Rare Cell Types: Implicit Semantic Data Augmentation for Spatial Multi-modal Omics Analysis
AAAI 2026
Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning
AAAI 2026
DeFT-LoRA: Decoupled and Fused Tuning with LoRA Experts for Universal Cross-Domain Retrieval
AAAI 2026
ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation
IJCAI 2025
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation
ICML 2025
Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture
IJCAI 2025
Gaussian Mixture Model for Graph Domain Adaptation
IJCAI 2025
Coupling Category Alignment for Graph Domain Adaptation
IJCAI 2025
Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning
IJCAI 2025
In-Context Meta LoRA Generation
IJCAI 2025
Correlation Matching Transformation Transformers for UHD Image Restoration
AAAI 2024
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?
NIPS 2024
Dynamic Spiking Graph Neural Networks
AAAI 2024
Improving Graph Contrastive Learning via Adaptive Positive Sampling
CVPR 2024
DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption
ICLR 2024
Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization
AAAI 2024
PromptRestorer: A Prompting Image Restoration Method with Degradation Perception
NIPS 2023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
ICML 2023