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Mengzhu Wang

18 papers · 2023–2026 · 6 conferences · across top CS/AI conferences

Achievements

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+6 more ↓ 🌍 Conference Polyglot (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (9)
πŸŒ‰ Interdisciplinary Bridge πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (91) ⚑ Prolific Year (6) πŸ’Ž Century Club (15) ❓ The Questioner

Conferences

AAAI (6) IJCAI (6) ICML (2) NIPS (2) CVPR (1) ICLR (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