| 2025 | ICML | Asymmetric Decision-Making in Online Knowledge Distillation: Unifying Consensus and Divergence. | Zhaowei Chen, Borui Zhao, Yuchen Ge, Yuhao Chen, Renjie Song, Jiajun Liang |
| 2024 | ECCV | Cascade Prompt Learning for Vision-Language Model Adaptation. | Ge Wu, Xin Zhang, Zheng Li, Zhaowei Chen, Jiajun Liang, Jian Yang, Xiang Li |
| 2024 | ECCV | HiDiffusion: Unlocking Higher-Resolution Creativity and Efficiency in Pretrained Diffusion Models. | Shen Zhang, Zhaowei Chen, Zhenyu Zhao, Yuhao Chen, Yao Tang, Jiajun Liang |
| 2023 | CVPR | Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data. | Yuhao Chen, Xin Tan, Borui Zhao, Zhaowei Chen, Renjie Song, Jiajun Liang, Xuequan Lu |
| 2023 | ICASSP | Geogcn: Geometric Dual-Domain Graph Convolution Network For Point Cloud Denoising. | Zhaowei Chen, Peng Li, Zeyong Wei, Honghua Chen, Haoran Xie, Mingqiang Wei, Fu Lee Wang |
| 2021 | ICONIP | Aspect-Based Sentiment Analysis Using Graph Convolutional Networks and Co-attention Mechanism. | Zhaowei Chen, Yun Xue, Luwei Xiao, Jinpeng Chen, Haolan Zhang |