深度神经网络轻量化与加速，持续学习

   

081201-计算机系统结构

深度神经网络轻量化与加速, 持续学习

2006-09--2010-08   中国科学院计算技术研究所   工学博士
2003-09--2006-07   合肥工业大学计算机与信息学院   工学硕士
1999-09--2003-07   合肥工业大学计算机与信息学院   工学学士

   

2023-09~现在, 中国科学院计算技术研究所, 副研究员
2014-09~2023-09,中国科学院计算技术研究所, 高级工程师
2013-01~2014-09,中国科学院计算技术研究所, 助理研究员
2010-09~2013-01,中国科学院计算技术研究所, 博士后

2024-07-26-今,中国计算机学会分布式计算与系统专业委员会, 执行委员
2024-05-17-今,中国指挥与控制学会大模型与决策智能专业委员会, 委员
2013-08-01-今,中国计算机学会, 高级会员

[会议论文]

[1] Weilun Feng, Chuanguang Yang*, Haotong Qin, Mingqiang Wu, Yuqi Li, Xiangqi Li, Zhulin An*, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu. QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification. The Fourteenth International Conference on Learning Representations (ICLR), 2026.

[2] Weilun Feng, Haotong Qin, Mingqiang Wu, Chuanguang Yang*, Yuqi Li, Xiangqi Li, Zhulin An*, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu. Quantized Visual Geometry Grounded Transformer. The Fourteenth International Conference on Learning Representations (ICLR), 2026.

[3] Xiangqi Li, Libo Huang*, Jiarui Zhao, Weilun Feng, Chuanguang Yang, Zhulin An*, Yongjun Xu. Point-UQ: An Uncertainty-Quantification Paradigm for Point Cloud Few-Shot Class Incremental Learning. The Fourteenth International Conference on Learning Representations (ICLR), 2026.

[4] Weilun Feng, Haotong Qin, Chuanguang Yang*, Xiangqi Li, Han Yang, Yuqi Li, Zhulin An*, Libo Huang, Michele Magno, Yongjun Xu. S^2^Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation. The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. (CCF-A)

[5] Yisong Fu, Fei Wang, Zezhi Shao, Boyu Diao, Lin Wu, Zhulin An, Chengqing Yu, Yujie Li, Yongjun Xu. On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting. The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. (CCF-A)

[6] Yisong Fu, Zezhi Shao, Chengqing Yu, Yujie Li, Zhulin An, Cheems Wang, Yongjun Xu, Fei Wang. Selective Learning for Deep Time Series Forecasting. The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. (CCF-A)

[7] Yanming Chen, Zixin Ma, Chuanguang Yang*, Zhulin An*, Yiwen Zhang. Accelerating Diffusion Models via Parallel Denoising. ACM Multimedia 2025 (ACM MM), 2025. (CCF-A)

[8] Yuqi Li, Chuanguang Yang, Hansheng Zeng, Zeyu Dong, Zhulin An, Yongjun Xu, Yingli Tian, Hao Wu. Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting. International Conference on Computer Vision 2025 (ICCV), 2025. (CCF-A)

[9] 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. 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025. (CCF-A, Research Track)

[10] 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. Forty-second International Conference on Machine Learning (ICML), 2025. (CCF-A)

[11] 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 of Video-Generation Diffusion Transformers. Forty-second International Conference on Machine Learning (ICML), 2025. (CCF-A)

[12] Han Yang, Chuanguang Yang*, Qiuli Wang, Zhulin An*, Weilun Feng, Libo Huang, Yongjun Xu. Multi-party Collaborative Attention Control for Image Customization. The Thirty-Fifth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF-A)

[13] Chuanguang Yang, Xinqiang Yu, Han Yang, Zhulin An*, Chengqing Yu, Libo Huang, Yongjun Xu. Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition. The 39th AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF-A)

[14] 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. The 39th AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF-A)

[15] Han Yang, Chuanguang Yang*, Zhulin An*, Libo Huang, Yongjun Xu. HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation. The 39th AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF-A)

[16] Haonan Mai, Libo Huang*, Zhulin An*, Jiarui Zhao, Chuanguang Yang, Erhu Zhao, Yongjun Xu. OLN++: Improved Object Localization Network for Open-world Object Detection. 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. (CCF-B)

[17] RuiQi Liu, Boyu Diao*, Libo Huang, Zijia An, Zhulin An, Yongjun Xu. Continual Learning in the Frequency Domain. The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. (CCF-A)

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

[19] Yuting Zhang, Zhao Zhang, Yiqing Wu, Ying Sun, Fuzhen Zhuang*, Wenhui Yu, Lantao Hu, Han Li, Kun Gai, Zhulin An*, Yongjun Xu. Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation. ACM Multimedia 2024 (ACM MM), 2024.(CCF-A)

[20] Yuting Zhang, Yiqing Wu, ruidong han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang*, Zhulin An*, Yongjun Xu. Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024. (CCF-A, ADS Track)

[21] Chuanguang Yang, Zhulin An*, Libo Huang, Junyu Bi, XinQiang Yu, Han Yang, Boyu Diao, Yongjun Xu*. CLIP-KD: A Comprehensive Study of Distilling CLIP Models. The Thirty-Fourth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF-A)

[22] Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An*, Boyu Diao, Yongjun Xu. eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation. 36th AAAI Conference on Artificial Intelligence (AAAI), 2024. (CCF-A)

[23] Libo Huang, Zhulin An*, Yan Zeng, Xiang Zhi, Yongjun Xu. KFC: Knowledge Reconstruction and Feedback Consolidation Enable Efficient and Effective Continual Generative Learning. The Twelfth International Conference on Learning Representations (ICLR), 2024. (Tiny paper, Invite to present (notable))

[24] Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang*, Ruidong Han, Xiang Li, Wei Lin, Zhulin An*, Yongjun Xu. Modeling Dual Period-Varying Preferences for Takeaway Recommendation. 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. (CCF-A, ADS Track)

[25] Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang*, Zhulin An*, Fei Wang, Yongjun Xu. Weighted Knowledge Graph Embedding. 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023. (CCF-A)

[26] 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. European Conference on Computer Vision (ECCV), 2022. (CCF-B)

[27] Chuanguang Yang, Helong Zhou, Zhulin An*, Xue Jiang, Yongjun Xu, Qian Zhang. Cross-Image Relational Knowledge Distillation for Semantic Segmentation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (CCF-A)

[28] Chuanguang Yang, Zhulin An*, Yongjun Xu. Localizing Semantic Patches for Accelerating Image Classification. IEEE International Conference on Multimedia and Expo (ICME), 2022. (CCF-B)

[29] Yanming Chen, Mingrui Shuai, Shubin Lou, Zhulin An*, Yiwen Zhang. FPAR: Filter Pruning via Attention and Rank Enhancement. IEEE International Conference on Multimedia and Expo (ICME), 2022. (CCF-B)

[30] Chuanguang Yang, Zhulin An*, Linhang Cai, Yongjun Xu. Mutual Contrastive Learning for Visual Representation Learning. 36th AAAI Conference on Artificial Intelligence (AAAI), 2022. (CCF-A)

[31] Linhang Cai, Zhulin An*, Chuanguang Yang, Yangchun Yan, Yongjun Xu. Prior Gradient Mask Guided Pruning-aware Fine-tuning. 36th AAAI Conference on Artificial Intelligence (AAAI), 2022. (CCF-A)

[32] Chuanguang Yang, Zhulin An*, Linhang Cai, Yongjun Xu. Hierarchical Self-supervised Augmented Knowledge Distillation. 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021. (CCF-A)

[33] Chuanguang Yang, Zhulin An*, Yongjun Xu. Multi-view Contrastive Learning for Online Knowledge Distillation. 46th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021. (CCF-B)

[34] Linhang Cai, Zhulin An*, Yongjun Xu. GHFP: Gradually Hard Filter Pruning. International Joint Conference on Neural Networks (IJCNN), 2021. (CCF-C)

[35] 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. 34th AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF-A)

[36] Xiaolong Hu, Zhulin An*, Chuanguang Yang, Hui Zhu, Kaiqiang Xu and Yongjun Xu. DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners. 24th European Conference on Artificial Intelligence (ECAI), 2020. (CCF-B)

[期刊论文]

[1] Zhulin An, Xinqiang Yu, Chu Wang, Yinlong Zhang, Chunhe Song. Embodied intelligence: Recent advances and future perspectives. The Innovation Informatics 1:100008, 2025.

[2] 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. 12(1):1166, 2025. (SCI Q1 IF:6.9)

[3] Ruiqi Liu, Boyu Diao*, Libo Huang, Zijia An, Hangda Liu, Zhulin An, Yongjun Xu. Low-redundancy distillation for continual learning. Pattern Recognition. 167: 111712, 2025.

[4]Zhanpeng Guan, Fuwei Zhang, Zhao Zhang*, Fuzhen Zhuang, Fei Wang, Zhulin An, Yongjun Xu. AdaE: Knowledge Graph Embedding With Adaptive Embedding Sizes. IEEE Transactions on Knowledge and Data Engineering (TKDE). 37(8):4432-4445, 2025. (SCI Q1 IF:10.4)

[5] Chengqing Yu, Fei Wang*, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Zhulin An, Qi Wang, Yongjun Xu. GinAR+: A Robust End-to-End Framework for Multivariate Time Series Forecasting With Missing Values. IEEE Transactions on Knowledge and Data Engineering (TKDE). 37(8):4635-4648, 2025. (SCI Q1 IF:10.4)

[6] Jincai Huang, Yongjun Xu, Qi Wang, et al. Foundation models and intelligent decision-making: Progress, challenges, and perspectives. The innovation. 6(6):100948, 2025. (SCI Q1 IF:25.7)

[7] Longji Zhu, Yunan Yang, Fei Xu, Xinyu Lu, Mingrui Shuai, Zhulin An, et al. Open-set deep learning–enabled single-cell Raman spectroscopy for rapid identification of airborne pathogens in real-world environments. Science Advances. 11(2), 2025. (SCI Q1 IF:11.7)

[8] Wenyu Mi, Jianji Wang, Fuzhen Zhuang, Zhulin An, Wei Guo. Open-category referring expression comprehension via multi-modal knowledge transfer. Neurocomputing. 598, 2024. (SCI Q1 IF:5.5)

[9] LiRong Dai, Luqi Gong, Zhulin An, Yongjun Xu, Boyu Diao. Sketch-fusion: A gradient compression method with multi-layer fusion for communication-efficient distributed training. Journal of Parallel and Distributed Computing. 185, 2024. (SCI Q1 IF:3.4)

[10] Huishi Luo, Fuzhen Zhuang*, Ruobing Xie, Hengshu Zhu, Deqing Wang, Zhulin An, Yongjun Xu. A survey on causal inference for recommendation. The Innovation. 5(2), 2024. (SCI Q1 IF:32.1)

[11] Chuanguang Yang, Zhulin An*, Linhang Cai, and Yongjun Xu. Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 35(2), 2024. (CCF-B, SCI Q1 IF:10.4)

[12] Yanming Chen, Jiahao Xu, Zhulin An*, Fuzhen Zhuang. Multi-scale Conditional Reconstruction Generative Adversarial Network, Image and Vision Computing. 141, 2024. (CCF-C, SCI Q3 IF:4.7)

[13] Yanming Chen, Gang Wu, Mingrui Shuai, Shubin Lou, Yiwen Zhang, Zhulin An*. FPAR: Flter Pruning via Atention and Rank Enhancement for Deep Convolutional Neural Networks Acceleration, International Journal of Machine Learning and Cybernetics, 15, 2024. (SCI Q3 IF:5.6)

[14] Han Yang, Qiuli Wang, Yue Zhang, Zhulin An, Liu Chen, Xiaohong Zhang, and S. Kevin Zhou*. Lung Nodule Segmentation and Uncertain Region Prediction with an Uncertainty-Aware Attention Mechanism. IEEE Transactions on Medical Imaging (TMI), 43(4), 2024. (SCI Q1 IF:6.812)

[15] Chuanguang Yang, Zhulin An*, Helong Zhou, Fuzhen Zhuang, Yongjun Xu, Qian Zhang. Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(8), 2023. (CCF-A, SCI Q1 IF:24.314)

[16] Yuting Zhang, Ying Sun, Fuzhen Zhuang*, Yongchun Zhu, Zhulin An*, Yongjun Xu. Triple Dual Learning for Opinion-Based Explainable Recommendation. ACM Transactions on Information Systems (TOIS), 42(3), 2023. (CCF-A, SCI Q1 IF:5.6)

[17] Y Xu, X Liu, X Cao, et al. Artificial intelligence: A powerful paradigm for scientific research. The Innovation. 2(4), 2021.

[18] Chuanguang Yang, Xinqiang Yu, Zhulin An, Yongjun Xu. Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation. Chapter in Springer Book《Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems》, 2023.

已指导学生

许开强  硕士研究生  085211-计算机技术  

朱徽  硕士研究生  085211-计算机技术  

胡小龙  硕士研究生  085211-计算机技术  

蔡林航  硕士研究生  085211-计算机技术  

支相  硕士研究生  085404-计算机技术  

王军凯  硕士研究生  085404-计算机技术  

王劲  硕士研究生  085400-电子信息  

董世超  硕士研究生  081201-计算机系统结构  

杨晗  硕士研究生  081200-计算机科学与技术  

章玉婷  硕士研究生  081202-计算机软件与理论  

现指导学生

李祥琦  硕士研究生  081200-计算机科学与技术  

毛乐  硕士研究生  081200-计算机科学与技术  

肖泽霖  硕士研究生  085400-电子信息  

黄雪松  硕士研究生  085400-电子信息  

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