Wenchao Xu

23 papers · 2021–2026 · 6 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🐝 Cross-Pollinator (14) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🏃 Academic Marathon (5)

🏃 Academic Marathon (5) 🗺️ Taxonomy Completionist (33) 🤝 Dynamic Duo (12) 🏆 Grand Slam ⚡ Prolific Year (10) 🔥 Unstoppable (5) 💎 Century Club (20) 🗃️ Keyword Collector (69)

Conferences

AAAI (7) ICML (5) CVPR (4) NIPS (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)

Keywords

federated learning (5) knowledge transfer (3) knowledge distillation (3) personalized model (3) model aggregation (3) prototype learning (2) representation learning (2) non-iid datum (2) multimodal learning (2) client heterogeneity (2) adversarial learning (1) anomaly detection (1) catastrophic forgetting (1) domain adaptation (1) transfer learning (1) continual learning (1) test-time adaptation (1) cross-modal learning (1) image reconstruction (1) domain generalization (1)

Papers

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