研究方向为面向计算机视觉的Efficient AI，尤其是高效视觉识别与生成技术的研究，相关研究成果已发表在TPAMI、CVPR、ICCV、ECCV、NeurIPS、ICML等领域顶级期刊会议上，并荣获指控学会技术发明一等奖（序9）。入选博士后创新人才支持计划、CCF博士学位论文激励计划提名、中国科学院院长特别奖、计算所特别研究助理A类。

2025年11月 — 至今：中国科学院计算技术研究所，副研究员

2023年7月 — 2025年11月：中国科学院计算技术研究所，助理研究员

2018年9月 — 2023年6月：中国科学院计算技术研究所，博士生

2014年9月 — 2018年6月：山东师范大学，信息科学与工程学院，本科生

期刊文章:

[1] Yanling Zhang, Wanhui Sun, Chuanguang Yang*, Libo Huang*, Zhulin An*, Weilun Feng, Wenjing Tang, Yongjun Xu. TCMP-300: A Comprehensive Traditional Chinese Medicinal Plant Dataset for Plant Recognition. Scientific Data, 2025. (Nature子刊)

[2] 杨传广, 陈路明*, 赵二虎, 安竹林, 徐勇军. 基于图表征知识蒸馏的图像分类方法. 电子学报, 2024. (CCF-A)

[3] Chuanguang Yang, Zhulin An, Helong Zhou, Fuzhen Zhuang, Yongjun Xu, Qian Zhang. Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition. TPAMI, 2023. (CCF-A)

[4] Chuanguang Yang, Xinqiang Yu, Zhulin An, Yongjun Xu. Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation. 《Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems》, 2023. (受邀知识蒸馏专著)

[5] Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu. Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution. TNNLS, 2022. (CCF-B)

会议文章：

[1] Weilun Feng†, Haotong Qin†, Chuanguang Yang*, Xiangqi Li, Han Yang, Yuqi Li, Zhulin An*, Libo Huang, Michele Magno, Yongjun Xu. S²Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation. NeurIPS, 2025. (CCF-A)

[2] Yanming Chen, Zixin Ma, Chuanguang Yang*, Zhulin An*, Yiwen Zhang.

Accelerating Diffusion Models via Parallel Denoising. ACM MM, 2025. (CCF-A)

[3] Yuqi Li†, Chuanguang Yang†, Hansheng Zeng, Zeyu Dong, Zhulin An, Yongjun Xu, Yingli Tian, Hao Wu*. Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting. ICCV, 2025. (CCF-A)

[4] Chengqing Yu, Fei Wang*, Chuanguang Yang, Zezhi Shao, Tao Sun, Tangwen Qian, Wei Wei, Zhulin An, Yongjun Xu*. Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates. SIGKDD, 2025. (CCF-A)

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

[6] Xiangqi Li†, Libo Huang†, Zhulin An*, Weilun Feng, Chuanguang Yang, Boyu Diao, Fei Wang, Yongjun Xu. Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning. ICML, 2025. (CCF-A)

[7] Han Yang, Chuanguang Yang*, Qiuli Wang, Zhulin An*, Weilun Feng, Libo Huang, Yongjun Xu. Multi-party Collaborative Attention Control for Image Customization. CVPR, 2025. (CCF-A)

[8] Han Yang, Chuanguang Yang*, Zhulin An*, Libo Huang, Yongjun.HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation. AAAI, 2025. (CCF-A)

[9] Weilun Feng†, Haotong Qin†, Chuanguang Yang*, Zhulin An*, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno. MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models. AAAI Oral, 2025. (CCF-A)

[10] Chuanguang Yang, Xinqiang Yu, Han Yang, Zhulin An*, Chengqing Yu, Libo Huang, Yongjun Xu. Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition. AAAI Oral, 2025. (CCF-A)

[11] Weilun Feng, Chuanguang Yang*, Zhulin An*, Libo Huang, Boyu Diao, Fei Wang, Yongjun Xu. Relational Diffusion Distillation for Efficient Image Generation. ACM MM Oral, 2024. (CCF-A)

[12] Lujun Li, Yufan Bao, Peijie Dong, Chuanguang Yang, Anggeng Li, Wenhan Luo, Qifeng Liu, Wei Xue, Yike Guo. DetKDS: Knowledge Distillation Search for Object Detectors. ICML, 2024. (CCF-A)

[13] Chuanguang Yang, Zhulin An*, Libo Huang, Junyu Bi, Xinqiang Yu, Han Yang, Boyu Diao, Yongjun Xu*. CLIP-KD: An Empirical Study of CLIP Model Distillation. CVPR, 2024. (CCF-A)

[14] Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An*, Boyu Diao, Yongjun Xu. eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation. AAAI, 2024. (CCF-A)

[15] Junyu Bi, Daixuan Cheng, Ping Yao*, Bochen Pang, Yuefeng Zhan, Chuanguang Yang et al. VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching. ICCV, 2023. (CCF-A)

[16] Chuanguang Yang, Zhulin An*, Helong Zhou, Linhang Cai, Xiang Zhi, Jiwen Wu, Yongjun Xu, Qian Zhang. MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition. ECCV, 2022. (CCF-B)

[17] Chuanguang Yang, Helong Zhou, Zhulin An*, Xue Jiang, Yongjun Xu, Qian Zhang. Cross-Image Relational Knowledge Distillation for Semantic Segmentation. CVPR, 2022. (CCF-A)

[18] Chuanguang Yang, Zhulin An*, Linhang Cai, Yongjun Xu. Mutual Contrastive Learning for Visual Representation Learning. AAAI Oral, 2022. (CCF-A)

[19] Linhang Cai, Zhulin An*, Chuanguang Yang, Yanchun Yang, Yongjun Xu. Prior Gradient Mask Guided Pruning-aware Fine-tuning. AAAI, 2022. (CCF-A)

[20] Chuanguang Yang, Zhulin An*, Linhang Cai, Yongjun Xu. Hierarchical Self-supervised Augmented Knowledge Distillation. IJCAI, 2021. (CCF-A)

[21] Xiaolong Hu, Zhulin An*, Chuanguang Yang, Hui Zhu, Kaiqaing Xu, Yongjun Xu. DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners. ECAI, 2020. (CCF-B)

[22] Chuanguang Yang, Zhulin An*, Hui Zhu, Xiaolong Hu, Kun Zhang, Kaiqiang Xu, Chao Li, Yongjun Xu. Gated Convolutional Networks with Hybrid Connectivity for Image Classification. AAAI, 2020. (CCF-A)

[1] 博士后创新人才支持计划项目：面向开放世界图像分类的多模态模型知识蒸馏技术研究，项目负责人；

[2] 国家自然科学基金青年科学基金项目：面向开放世界图像分类的语言-图像模型知识蒸馏技术研究，项目负责人；

[3] 中国科学院特别研究助理资助项目：面向图像识别的知识蒸馏技术研究，项目负责人。

2025年，指控学会技术发明一等奖（序9）

2025年，ACM MM-2025杰出审稿人

2024年，CCF博士学位论文激励计划提名

2024年，博士后创新人才支持计划

2024年，计算所优秀研究人员

2024年，计算所特别研究助理A类

2023年，中国科学院院长特别奖