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Yixiong Zou

27 papers · 2022–2026 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (39) πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🌍 Conference Polyglot Β· Silver 🀝 Dynamic Duo (23) πŸ”¬ Deep Specialist (18)
🀝 Dynamic Duo (23) πŸ—ƒοΈ Keyword Collector (112) πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze

Venues

CVPR (8) AAAI (5) ICML (5) NeurIPS (5) ICCV (2) IJCAI (2)

Top co-authors

Yuhua Li (23) Ruixuan Li (22) Guangyao Chen (7) Shuai Yi (4) Jintao Tong (3) Ran Ma (3) Zhenyu Zhang (3) Yao Wu (2) Yiman Hu (2) Haichen Zhou (2)

Research topics

Artificial Intelligence (20) Machine Learning (20) Learning Paradigms (19) Deep Learning (14) Application Areas (11) Learning Types Β· Deep Learning (10) Learning Types Β· Machine Learning (8) Core Methods (7) Computer Vision (5) Analysis (4) Architectures (3) Core AI (3) Models (3) Techniques (2) Natural Language Processing (1)

Keywords

few-shot learning (11) domain adaptation (6) cross-domain few-shot learning (6) vision transformer (5) domain gap (4) transfer learning (4) few-shot class-incremental learning (3) cross-domain learning (3) class-incremental learning (3) few-shot segmentation (2) semantic segmentation (2) prompt tuning (2) loss landscape (2) vision-language model (2) representation learning (2) visual grounding (2) self-supervised learning (2) sharpness-aware minimization (2) domain shift (2) prototype learning (1)

Papers

Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning CVPR 2026 Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning AAAI 2026 Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning AAAI 2026 Interpretable Cross-Domain Few-Shot Learning with Rectified Target-Domain Local Alignment CVPR 2026 Is Bin Generation Indispensable? A Bin-Generation-Free Dataset Quantization via Semantic Perspective CVPR 2026 Mind the Discriminability Trap in Source-Free Cross-domain Few-shot Learning CVPR 2026 Reclaiming Lost Text Layers for Source-Free Cross-Domain Few-Shot Learning CVPR 2026 Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection CVPR 2026 Start Small, Think Big: Curriculum-based Relative Policy Optimization for Visual Grounding AAAI 2026 Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation ICML 2025 Cross-Category Subjectivity Generalization for Style-Adaptive Sketch Re-ID ICCV 2025 Random Registers for Cross-Domain Few-Shot Learning ICML 2025 Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning AAAI 2025 Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning ICML 2025 Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning ICCV 2025 Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation ICML 2025 The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation CVPR 2025 A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning NeurIPS 2024 Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning NeurIPS 2024 Compositional Few-Shot Class-Incremental Learning ICML 2024 Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling AAAI 2024 Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning IJCAI 2024 Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning CVPR 2024 Generate Universal Adversarial Perturbations for Few-Shot Learning NeurIPS 2024 Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation NeurIPS 2024 CSGCL: Community-Strength-Enhanced Graph Contrastive Learning IJCAI 2023 Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation NeurIPS 2022