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Wenchao Xu

24 papers · 2021–2026 · 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) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (13) πŸ† Grand Slam ⚑ Prolific Year Β· Prolific πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (106) πŸ”₯ Unstoppable Β· Bronze

Venues

AAAI (7) CVPR (5) ICML (5) NeurIPS (3) ECCV (2) ICLR (2)

Top co-authors

Haozhao Wang (13) Song Guo (10) Fushuo Huo (5) Xiaosong Ma (5) Jie Zhang (5) Jingcai Guo (4) Ruixuan Li (4) Yunfeng Fan (4) Wenxi Lv (3) Qinliang Su (3)

Research topics

Machine Learning (20) Artificial Intelligence (17) Core AI (10) Learning Types Β· Machine Learning (10) Application Areas (9) Learning Paradigms Β· Artificial Intelligence (9) Deep Learning (5) Core Methods (4) Optimization & Theory (4) Computer Vision (3) Analysis (3) Learning Types Β· Deep Learning (3) Architectures (2) Learning Paradigms Β· Machine Learning (2) Natural Language Processing (1)

Keywords

federated learning (6) vision-language model (3) multimodal learning (3) personalized model (3) knowledge transfer (3) knowledge distillation (3) model aggregation (3) adversarial learning (2) representation learning (2) anomaly detection (2) contrastive learning (2) non-iid data (2) prototype learning (2) client heterogeneity (2) bayesian inference (1) catastrophic forgetting (1) domain adaptation (1) depth estimation (1) transfer learning (1) distributed learning (1)

Papers

Backdooring Rationalization AAAI 2026 Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs AAAI 2026 Distilling Cross-Modal Knowledge via Feature Disentanglement AAAI 2026 OmniVGGT: Omni-Modality Driven Visual Geometry Grounded Transformer CVPR 2026 Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning AAAI 2025 BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach ICML 2025 One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning ICLR 2025 Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models ICLR 2025 Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models ICML 2024 C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation CVPR 2024 Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data ICML 2024 Cross-modal Representation Flattening for Multi-modal Domain Generalization NeurIPS 2024 FedBAT: Communication-Efficient Federated Learning via Learnable Binarization ICML 2024 Knowledge-Aware Parameter Coaching for Personalized Federated Learning AAAI 2024 Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement AAAI 2024 Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection ECCV 2024 Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching ECCV 2024 ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning AAAI 2024 DaFKD: Domain-Aware Federated Knowledge Distillation CVPR 2023 PMR: Prototypical Modal Rebalance for Multimodal Learning CVPR 2023 SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models NeurIPS 2023 Towards Unbiased Training in Federated Open-world Semi-supervised Learning ICML 2023 Layer-Wised Model Aggregation for Personalized Federated Learning CVPR 2022 Parameterized Knowledge Transfer for Personalized Federated Learning NeurIPS 2021