期刊文章:

[1] 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)

[2] 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)

[3] 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) 

[4] 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)

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

[6] 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.

会议文章：

[1] 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)

[2] 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)

[3] 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)) 

[4] 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)

[5] 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) 

[6] 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) 

[7] 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)

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

[9] 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)

[10] 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)

[11] 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)

[12] 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)

[13] 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)

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

[15] 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)

[16] 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)