By Last Name
AN ZhulinAssociate Professor
Research Areas:
Computer Vision;Deep Neural Network Compression and Acceleration
Department:
Domain-Oriented Intelligent System Research Center
Tutor Category:
Contact:
anzhulin@ict.ac.cn
Personal Page:
https://teacher.ucas.ac.cn/~anzhulin
Dr. Zhulin An received the Ph.D. degree from the Chinese Academy of Sciences, Beijing, China, in 2010. He is currently with the Institute of Computing Technology, Chinese Academy of Sciences, where he became a Senior Engineer in 2014. His current research interests include computer vision and deep neural Network compression and acceleration.
Recent publication:
1. 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), 2022. (CCF-B, SCI Q1 IF:14.255)
2. 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)
3. 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)
4. Chuanguang Yang, Zhulin An*, Yongjun Xu. Localizing Semantic Patches for Accelerating Image Classification. IEEE International Conference on Multimedia and Expo (ICME), 2022. (CCF-B)
5. 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)
6. 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)
7. 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)
8. 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)
9. 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)
10. Linhang Cai, Zhulin An*, Yongjun Xu. GHFP: Gradually Hard Filter Pruning. International Joint Conference on Neural Networks (IJCNN), 2021. (CCF-C)
11. 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)
12. 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)
13. Hui Zhu, Zhulin An*, Chuanguang Yang, Xiaolong Hu, Kaiqiang Xu, Yongjun Xu. Efficient Search for the Number of Channels for Convolutional Neural Networks. International Joint Conference on Neural Networks (IJCNN), 2020. (CCF-C)
14. Kaiqiang Xu, Zhulin An*, Hui Zhu, Xiaolong Hu, Yongjun Xu. HLNet: Modeling High and Low Frequencies for Scene Parsing. International Joint Conference on Neural Networks (IJCNN), 2020. (CCF-C)
15. Hui Zhu, Zhulin An*, Kaiqiang Xu, Xiaolong Hu, Yongjun Xu. Towards More Efficient and Effective Inference: The Joint Decision of Multi-Participants. 27th IEEE International Conference on Image Processing (ICIP), 2020. (CCF-C)
16. Linhang Cai, Zhulin An*, Yongjun Xu. Softer Pruning, Incremental Regularization. 25th International Conference on Pattern Recognition (ICPR), 2020. (CCF-C)
17. Hui Zhu, Zhulin An*, Chuanguang Yang, Kaiqiang Xu, Erhu Zhao, Yongjun Xu. EENA: Efficient Evolution of Neural Architecture. ICCV 2019 Neural Architects Workshop(ICCVW), 2019.
18. Chuanguang Yang, Zhulin An*, Chao Li, Boyu Diao, Yongjun Xu. Multi-objective Pruning for CNNs Using Genetic Algorithm. 28th International Conference on Artificial Neural Networks (ICANN), 2019. (CCF-C)