| 2026 | ACL | LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models. | Fengqi Zhu, Rongzhen Wang, Shen Nie, Xiaolu Zhang, Chunwei Wu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li |
| 2025 | MICCAI | Dual Knowledge-Aware Guidance for Source-Free Domain Adaptive Fundus Image Segmentation. | Yu Chen, Hailing Wang, Chunwei Wu, Guitao Cao |
| 2024 | AAAI | HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks. | Hai Zhang, Chunwei Wu, Guitao Cao, Hailing Wang, Wenming Cao |
| 2024 | IJCAI | CausVSR: Causality Inspired Visual Sentiment Recognition. | Xinyue Zhang, Zhaoxia Wang, Hailing Wang, Jing Xiang, Chunwei Wu, Guitao Cao |
| 2024 | SMC | DLE: Document Illumination Correction with Dynamic Light Estimation. | Jiahao Quan, Hailing Wang, Chunwei Wu, Guitao Cao |
| 2023 | ECAI | DCNet: Weakly Supervised Saliency Guided Dual Coding Network for Visual Sentiment Recognition. | Xinyue Zhang, Jing Xiang, Hanxiu Zhang, Chunwei Wu, Hailing Wang, Guitao Cao |
| 2023 | IJCNN | Class-Balanced Universal Perturbations for Adversarial Training. | Kexue Ma, Guitao Cao, Mengqian Xu, Chunwei Wu, Hong Wang, Wenming Cao |
| 2023 | IJCNN | Discriminative Feature Mining and Alignment for Unsupervised Domain Adaptation. | Jing Xiang, Guitao Cao, Xinyue Zhang, Hanxiu Zhang, Chunwei Wu, Hong Wang |
| 2023 | SMC | Geometric Contrastive Learning for Heterogeneous Graphs Encoding. | Siheng Wang, Guitao Cao, Chunwei Wu |
| 2022 | IJCNN | Mix-up Consistent Cross Representations for Data-Efficient Reinforcement Learning. | Shiyu Liu, Guitao Cao, Yong Liu, Yan Li, Chunwei Wu, Xidong Xi |
| 2022 | IJCNN | Adversarial Discriminative Feature Separation for Generalization in Reinforcement Learning. | Yong Liu, Chunwei Wu, Xidong Xi, Yan Li, Guitao Cao, Wenming Cao, Hong Wang |
| 2021 | IJCNN | Debiased Prototype Network for Adversarial Domain Adaptation. | Chunwei Wu, Guitao Cao, Wenming Cao, Hong Wang, He Ren |