Zhulin AN (安竹林)

Zhulin AN (安竹林)

Ph.D

Associate Researcher

PhD supervisor

My research interest includes acceleration of neural networks and computer vision. I have published more than 70 papers at the top international AI/CV journals and conferences with a total of over 4000 citations on Google Scholar.  

Serves as principal investigator for multiple national and ministerial projects, including the National Natural Science Foundation of China (General Program and Young Scientists Fund) and the CAS Science and Technology Innovation Fund, and received the First Prize for Technical Invention by the Chinese Institute of Command and Control in 2025 (third contributor).

👨‍🎓 招生与实习

课题组还有两名青年教师（杨传广、黄礼泊），算力充足（2台8卡A800、3台8卡4090机架式服务器，双卡3090塔式服务器若干），每年有2-3名硕士、1-2名博士研究生招生名额，欢迎优秀的本科生联系，也欢迎远程实习。

🔥 News

  • 2026.02:  🎉 Four papers accepted by CVPR 2026 (3 main conference, 1 in Findings).
  • 2026.01:  🎉 Three papers accepted by ICLR 2026.
  • 2025.09:  🎉 Three papers accepted by NeurIPS 2025.
  • 2025.07:  🎉 One paper accepted by ACM MM 2025.
  • 2025.07:  🎉 One paper accepted by Scientific Data.
  • 2025.06:  🎉 One paper accepted by ICCV 2025.
  • 2025.06:  🎉 Received the Outstanding Reviewer Award for CVPR 2025.
  • 2025.02:  🎉 One paper accepted by CVPR 2025.
  • 2025.01:  🎉 Three papers accepted by AAAI 2025 (Two oral).

👨‍🏫 Academic Service

  • Senior Member, China Computer Federation (CCF)
  • Standing Committee Member of the Embodied Intelligence Professional Committee, China Command and Control Society
  • Executive Committee Member of the Distributed Computing and Systems Professional Committee, China Computer Federation
  • Member of the Embodied Intelligence Professional Committee, Chinese Association for Artificial Intelligence

📝 Publications

[Conference Papers]

[1] Jiarui Zhao, Libo Huang*, Xiangqi Li, Zhulin An*, Chuanguang Yang, Yu Wang, Boyu Diao, Yongjun Xu. Representation-Steered Incremental Adapter-Tuning for Class-Incremental Learning with Pre-Trained Models. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (CCF-A)

[2] Wenjing Tang, Chuanguang Yang*, Zhulin An*, Libo Huang, Boyu Diao, Yongjun Xu. EfficientVPR: Toward Efficient Visual Place Recognition via Scene-Aware Prompt Tuning and Adaptive Feature Enhancement. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (CCF-A)

[3] Yingcheng Hu, Haowen Gong, Chuanguang Yang, Zhulin An*, Yongjun Xu, Songhua Liu*. MultiAnimate: Pose-Guided Image Animation Made Extensible. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (CCF-A)

[4] Zijia An, Boyu Diao*, RuiQi Liu, Libo Huang, Chuanguang Yang, Fei Wang, Zhulin An, Yongjun Xu. Parameterized Prompt for Incremental Object Detection. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (CCF-A)

[5] Qiji Ma, Chuanguang Yang*, Zhulin An*, Libo Huang, Yuqi Li, Erhu Zhao, Yongjun Xu. Distilling Out-of-Distribution Knowledge from Large Language Models for CLIP Generalization. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (Findings track)

[6] 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.

[7] 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.

[8] 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.

[9] 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)

[10] 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)

[11] 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)

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

[13] 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)

[14] 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)

[15] 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)

[16] 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)

[17] 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)

[18] 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)

[19] 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)

[20] 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)

[21] 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)

[22] 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)

[23] 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)

[24] 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)

[25] 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)

[26] 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)

[27] 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)

[28] 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))

[29] 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)

[30] 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)

[31] 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)

[32] 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)

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

[34] 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)

[35] 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)

[36] 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)

[37] 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)

[38] 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)

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

[40] 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)

[41] 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)

[Journal Papers]

[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.

📕 Projects

  • 2025.1~2028.12 National Natural Science Foundation of China (NSFC) - General Program. Research on Diffusion Model Training and Inference Optimization.

🎖 Honors and Awards

  • 2025.06 Outstanding Reviewer Award for CVPR 2025
  • 2023.10 Third Place in OOD-CV: Classification Track (Self-Supervised), A Challenge for Out-of-Distribution Generalization in Computer Vision (OOD-CV), in conjunction with ICCV 2023
  • 2024.9 The Second Place in Cross-Organ Adenocarcinoma Segmentation Task, Cross-Organ and Cross-Scanner Adenocarcinoma Segmentation Challenge, in conjunction with MICCAI 2024

📖 Educations

  • 2006.09 - 2010.08 Institute of Computing Technology, Chinese Academy of Sciences, Ph.D. student in Computer System Architecture
  • 2003.09 - 2006.07 School of Computer and Information, Hefei University of Technology, Master’s student in Computer Application Technology
  • 1999.09 - 2003.07 School of Computer and Information, Hefei University of Technology, Bachelor’s student in Computer Science and Technology