Chunwei Wu

According to our database, Chunwei Wu authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks.

Hai Zhang, Chunwei Wu, Guitao Cao, Hailing Wang, Wenming Cao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

When Source-Free Domain Adaptation Meets Label Propagation.

Chunwei Wu, Guitao Cao, Yan Li, Xidong Xi, Wenming Cao, Hong Wang

CoRR, 2023

Geometric Contrastive Learning for Heterogeneous Graphs Encoding.

Siheng Wang, Guitao Cao, Chunwei Wu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation.

Chunwei Wu, Guitao Cao, Yan Li, Xidong Xi, Wenming Cao, Hong Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Discriminative Feature Mining and Alignment for Unsupervised Domain Adaptation.

Jing Xiang, Guitao Cao, Xinyue Zhang, Hanxiu Zhang, Chunwei Wu, Hong Wang

Proceedings of the International Joint Conference on Neural Networks, 2023

Class-Balanced Universal Perturbations for Adversarial Training.

Kexue Ma, Guitao Cao, Mengqian Xu, Chunwei Wu, Hong Wang, Wenming Cao

Proceedings of the International Joint Conference on Neural Networks, 2023

Making Adversarial Attack Imperceptible in Frequency Domain: A Watermark-based Framework.

Hanxiu Zhang, Guitao Cao, Xinyue Zhang, Jing Xiang, Chunwei Wu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

DCNet: Weakly Supervised Saliency Guided Dual Coding Network for Visual Sentiment Recognition.

Xinyue Zhang, Jing Xiang, Hanxiu Zhang, Chunwei Wu, Hailing Wang, Guitao Cao

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Calibrated Uncertainty-Guided Multi-task Framework for Medical Image Segmentation.

Yu Chen, Chunwei Wu, Shasha Liu, Guitao Cao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Adversarial Discriminative Feature Separation for Generalization in Reinforcement Learning.

Yong Liu, Chunwei Wu, Xidong Xi, Yan Li, Guitao Cao, Wenming Cao, Hong Wang

Proceedings of the International Joint Conference on Neural Networks, 2022

Mix-up Consistent Cross Representations for Data-Efficient Reinforcement Learning.

Shiyu Liu, Guitao Cao, Yong Liu, Yan Li, Chunwei Wu, Xidong Xi

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Debiased Prototype Network for Adversarial Domain Adaptation.

Chunwei Wu, Guitao Cao, Wenming Cao, Hong Wang, He Ren

Proceedings of the International Joint Conference on Neural Networks, 2021

DCFG: Discovering Directional CounterFactual Generation for Chest X-rays.

Yan Li, Shasha Liu, Chunwei Wu, Xidong Xi, Guitao Cao, Wenming Cao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021