An, Zhulin

20 publications

NeurIPS 2025 $\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation Weilun Feng, Haotong Qin, Chuanguang Yang, Xiangqi Li, Han Yang, Yuqi Li, Zhulin An, Libo Huang, Michele Magno, Yongjun Xu

ICCV 2025 Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting Yuqi Li, Chuanguang Yang, Hansheng Zeng, Zeyu Dong, Zhulin An, Yongjun Xu, Yingli Tian, Hao Wu

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 HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation Han Yang, Chuanguang Yang, Zhulin An, Libo Huang, 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

CVPR 2025 Multi-Party Collaborative Attention Control for Image Customization Han Yang, Chuanguang Yang, Qiuli Wang, Zhulin An, Weilun Feng, Libo Huang, Yongjun Xu

AAAI 2025 Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition Chuanguang Yang, Xinqiang Yu, Han Yang, Zhulin An, Chengqing Yu, Libo Huang, Yongjun Xu

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

NeurIPS 2025 Selective Learning for Deep Time Series Forecasting Yisong Fu, Zezhi Shao, Chengqing Yu, Yujie Li, Zhulin An, Cheems Wang, Yongjun Xu, Fei Wang

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

CVPR 2022 Cross-Image Relational Knowledge Distillation for Semantic Segmentation Chuanguang Yang, Helong Zhou, Zhulin An, Xue Jiang, Yongjun Xu, Qian Zhang

ECCV 2022 MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition Chuanguang Yang, Zhulin An, Helong Zhou, Linhang Cai, Xiang Zhi, Jiwen Wu, Yongjun Xu, Qian Zhang

AAAI 2022 Mutual Contrastive Learning for Visual Representation Learning Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu

AAAI 2022 Prior Gradient Mask Guided Pruning-Aware Fine-Tuning Linhang Cai, Zhulin An, Chuanguang Yang, Yangchun Yan, Yongjun Xu

IJCAI 2021 Hierarchical Self-Supervised Augmented Knowledge Distillation Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu

AAAI 2020 Gated Convolutional Networks with Hybrid Connectivity for Image Classification Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kun Zhang, Kaiqiang Xu, Chao Li, Yongjun Xu

ICCVW 2019 EENA: Efficient Evolution of Neural Architecture Hui Zhu, Zhulin An, Chuanguang Yang, Kaiqiang Xu, Erhu Zhao, Yongjun Xu