Diao, Boyu

9 publications

ICML 2025 Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning Xiangqi Li, Libo Huang, Zhulin An, Weilun Feng, Chuanguang Yang, Boyu Diao, Fei Wang, Yongjun Xu

AAAI 2025 MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno

NeurIPS 2025 On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting Yisong Fu, Fei Wang, Zezhi Shao, Boyu Diao, Lin Wu, Zhulin An, Chengqing Yu, Yujie Li, Yongjun Xu

ICML 2025 Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Weilun Feng, Chuanguang Yang, Haotong Qin, Xiangqi Li, Yu Wang, Zhulin An, Libo Huang, Boyu Diao, Zixiang Zhao, Yongjun Xu, Michele Magno

CVPR 2024 CLIP-KD: An Empirical Study of CLIP Model Distillation Chuanguang Yang, Zhulin An, Libo Huang, Junyu Bi, Xinqiang Yu, Han Yang, Boyu Diao, Yongjun Xu

NeurIPS 2024 Continual Learning in the Frequency Domain Ruiqi Liu, Boyu Diao, Libo Huang, Zijia An, Zhulin An, Yongjun Xu

AAAI 2024 eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu

ICCV 2023 Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View Kelu Yao, Jin Wang, Boyu Diao, Chao Li

AAAI 2022 Interpretable Generative Adversarial Networks Chao Li, Kelu Yao, Jin Wang, Boyu Diao, Yongjun Xu, Quanshi Zhang