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U³CF: Unbiased, Unconfounding, and Unified Causal Framework for Multi-Target Domain Adaptation
Wenxu Wang, Yeqiang Liu, Rui Zhou, Jing Wang, Zhenbo Li, Wenbo Gong
ICML, 2026
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COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation
Wenxu Wang, Rui Zhou, Jing Wang, Yun Zhou, Cheng Zhu, Ruichun Tang, Bo Han, Nevin L. Zhang
ICML, 2025
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Unmixing the Latent: Factor-Aware Sparse Adaptation for Vision-Language Models
Zexiang Li, Wenxu Wang*, Jiawen He, Yuanzhen Yue, Yeqiang Liu, Youwei Zhao, Ruichun Tang
ACM MM, 2026
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Probability-Based Graph Embedding Cross-Domain and Class Discriminative Feature Learning for Domain Adaptation
Wenxu Wang, Zhencai Shen, Daoliang Li, Ping Zhong, Yingyi Chen
IEEE Transactions on Image Processing, 2023
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Graph Embedding-based Heterogeneous Domain Adaptation with Domain-Invariant Feature Learning and Distributional Order Preserving
Wenxu Wang, Zhenbo Li, Weiran Li
Neural Networks, 2024
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Domain Adaptation with Contrastive and Adversarial Oriented Transferable Semantic Augmentation
Wenxu Wang, Guoxu Zhang, Ping Zhong
Knowledge-Based Systems, 2023
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Symptom-Aware Adaptation of CLIP for Few-Shot Medical Image Classification
Zexiang Li, Wenxu Wang*, Chengpu Liu, Jiawen He, Youwei Zhao, Yili Zhai, Ruichun Tang
IEEE Signal Processing Letters, 2026
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A BP neural network model optimized by mind evolutionary algorithm for predicting the ocean wave heights
Wenxu Wang, Ruichun Tang, Cheng Li, Peishun Liu, Liang Luo
Ocean Engineering
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Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation
Jing Wang, Wonho Bae, Jiahong Chen, Wenxu Wang, Junhyug Noh
NeurIPS, 2025
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Diff-AgentDOA: Diffusion-agent model for synthetic data generation in shallow-water target direction of arrival estimation
Jiawen He, Bin Zhang, Wenxu Wang, Peishun Liu, Liang Wang, Ruichun Tang, Hui Yu
Information Fusion, 2026
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Toward Improving Stochastic Neural Network Robustness via Arbitrary Distribution Injection
Rui Zhou, Hao Yang, Wenxu Wang, Dingjiang Wei, Peng Lin, Cheng Zhu, Yun Zhou
IEEE Transactions on Neural Networks and Learning Systems, 2026
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DA-MFT: Unsupervised Multiple Fish Tracking Framework Based on Domain Adaptation
Yeqiang Liu, Weiran Li, Wenxu Wang, Mina Han, Xue Liu, Zhenbo Li
IEEE Transactions on Industrial Informatics, 2025
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M4FT: Mamba, Migratory, Mobile and Multiple Fish Tracking
Weiran Li, Yeqiang Liu, Wenxu Wang, Zhenbo Li
IEEE Transactions on Circuits and Systems for Video Technology, 2026
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Listen2Track: Plug-and-play audio-visual matching for generic multi-object tracking
Yeqiang Liu, Weiran Li, Yijie Wei, Mina Han, Fukuan Wang, Yining Fan, Wenxu Wang, Zhenbo Li
Information Fusion, 2026
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PlantPCC: Dual Sampling and Multi-level Geometry-aware Contrastive Regularization for Plant Point Cloud Completion
Xiaomeng Li, Wenxu Wang, Haoxiang Sun, Yanhao Ding, Zhenbo Li
ICASSP, 2025
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UIOCNet: Underwater indiscernible object counting network based on the fusion of CNN and transformer
Hanyu Zhang, Zhenbo Li, Wenxu Wang, Yuhuai Lin
Applied Soft Computing, 2026
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AdaFishCount: Advancing domain-invariant learning via domain-specific perturbation for cross-domain fish counting
Hanyu Zhang, Zhenbo Li, Wenxu Wang, Weiran Li, Binlong Wang
Computers and Electronics in Agriculture, 2025
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TFMFT: Transformer-based Multiple Fish Tracking
Weiran Li, Yeqiang Liu, Wenxu Wang, Zhenbo Li, Jun Yue
Computers and Electronics in Agriculture, 2024
