Xu, Wenchao

24 publications

ICML 2025 BSemiFL: Semi-Supervised Federated Learning via a Bayesian Approach Haozhao Wang, Shengyu Wang, Jiaming Li, Hao Ren, Xingshuo Han, Wenchao Xu, Shangwei Guo, Tianwei Zhang, Ruixuan Li

AAAI 2025 Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning Qingqing Fang, Qinliang Su, Wenxi Lv, Wenchao Xu, Jianxing Yu

NeurIPS 2025 ChatbotID: Identifying Chatbots with Granger Causality Test Xiaoquan Yi, Haozhao Wang, Yining Qi, Wenchao Xu, Rui Zhang, Yuhua Li, Ruixuan Li

NeurIPS 2025 Feature Distillation Is the Better Choice for Model-Heterogeneous Federated Learning Yichen Li, Xiuying Wang, Wenchao Xu, Haozhao Wang, Yining Qi, Jiahua Dong, Ruixuan Li

NeurIPS 2025 LLM at Network Edge: A Layer-Wise Efficient Federated Fine-Tuning Approach Jinglong Shen, Nan Cheng, Wenchao Xu, Haozhao Wang, Yifan Guo, Jiajie Xu

ICLR 2025 One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning Wenxi Lv, Qinliang Su, Wenchao Xu

ICLR 2025 Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models Fushuo Huo, Wenchao Xu, Zhong Zhang, Haozhao Wang, Zhicheng Chen, Peilin Zhao

ICML 2024 Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models Jie Zhang, Xiaosong Ma, Song Guo, Peng Li, Wenchao Xu, Xueyang Tang, Zicong Hong

CVPR 2024 C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Song Guo

ICML 2024 Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data Wenxi Lv, Qinliang Su, Hai Wan, Hongteng Xu, Wenchao Xu

NeurIPS 2024 Cross-Modal Representation Flattening for Multi-Modal Domain Generalization Yunfeng Fan, Wenchao Xu, Haohao Wang, Song Guo

ICML 2024 FedBAT: Communication-Efficient Federated Learning via Learnable Binarization Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li

AAAI 2024 Knowledge-Aware Parameter Coaching for Personalized Federated Learning Mingjian Zhi, Yuanguo Bi, Wenchao Xu, Haozhao Wang, Tianao Xiang

AAAI 2024 Non-Exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan

ECCV 2024 Overcome Modal Bias in Multi-Modal Federated Learning via Balanced Modality Selection Yunfeng Fan, Wenchao Xu, Haozhao Wang, Fushuo Huo, Jinyu Chen, Song Guo

ECCV 2024 Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching Yichen Li, Wenchao Xu, Haozhao Wang, Yining Qi, Jingcai Guo, Ruixuan Li

AAAI 2024 ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu

CVPR 2023 DaFKD: Domain-Aware Federated Knowledge Distillation Haozhao Wang, Yichen Li, Wenchao Xu, Ruixuan Li, Yufeng Zhan, Zhigang Zeng

ECML-PKDD 2023 Decompose, Then Reconstruct: A Framework of Network Structures for Click-Through Rate Prediction Jiaming Li, Lang Lang, Zhenlong Zhu, Haozhao Wang, Ruixuan Li, Wenchao Xu

CVPR 2023 PMR: Prototypical Modal Rebalance for Multimodal Learning Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junxiao Wang, Song Guo

NeurIPS 2023 SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models Xiaosong Ma, Jie Zhang, Song Guo, Wenchao Xu

ICML 2023 Towards Unbiased Training in Federated Open-World Semi-Supervised Learning Jie Zhang, Xiaosong Ma, Song Guo, Wenchao Xu

CVPR 2022 Layer-Wised Model Aggregation for Personalized Federated Learning Xiaosong Ma, Jie Zhang, Song Guo, Wenchao Xu

NeurIPS 2021 Parameterized Knowledge Transfer for Personalized Federated Learning Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu