Personal Profile

陈振铎，2021年于山东大学获博士学位，目前为山东大学软件学院副研究员，入选山东大学青年学者未来计划。研究领域包括人工智能、机器学习、计算机视觉、细粒度数据分析、多媒体数据分析与检索等。在IEEE TIP、CVPR、AAAI、MM等国际知名学术期刊和会议累计发表论文二十余篇，曾获山东省优秀博士学位论文奖、山东省科技进步二等奖、山东省人工智能科技进步一等奖等荣誉。担任IEEE TIP、PR、CVPR、AAAI、MM等国际学术期刊会议审稿人。主持国家自然科学基金青年科学基金项目一项，参与国家自然科学基金面上项目、山东省重大科技创新工程项目等国家、省部级项目多项。

联系方式：chenzd.sdu@gmail.com

[Google Scholar, Semantic Scholar, DBLP]

研究方向：

• 多媒体数据检索

• 细粒度数据分析

招生信息：

招收软件工程或人工智能专业学位硕⼠研究⽣（2026年已无剩余招生名额）。

代表性论文（*通讯作者）：

1. Zhen-Duo Chen, Li-Jun Zhao, Zi-Chao Zhang, Xin Luo, Xin-Shun Xu. Characteristics Matching Based Hash Codes Generation for Efficient Fine-grained Image Retrieval. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR). 2024. (CCF A)

2. Zhen-Duo Chen, Xin Luo, Yongxin Wang, Shanqing Guo, Xin-Shun Xu. Fine-Grained Hashing with Double Filtering. IEEE Transactions on Image Processing. 2022. (SCI一区, CCF A)

3. Zhen-Duo Chen, Chuan-Xiang Li, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu. SCRATCH: A Scalable Discrete Matrix Factorization Hashing Framework for Cross-Modal Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. 2020. (SCI一区, CCF B)

4. Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun Xu. A Two-Step Cross-Modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps. ACM International Conference on Multimedia (MM). 2019. (CCF A)

5. Zhen-Duo Chen, Wan-Jin Yu, Chuan-Xiang Li, Liqiang Nie, Xin-Shun Xu. Dual Deep Neural Networks Cross-Modal Hashing. AAAI Conference on Artificial Intelligence (AAAI). 2018. (CCF A)

6. Li-Jun Zhao, Zhen-Duo Chen*, Yongxin Wang, Xin Luo, Xin-Shun Xu. Evolving and Regularizing Meta-Environment Learner for Fine-Grained Few-Shot Class-Incremental Learning. Neural Information Processing Systems (NeurIPS), 2025. (CCF A) (Accepted)

7. Zhen-Xiang Ma, Zhen-Duo Chen*, Tai Zheng, Xin Luo, Xin-Shun Xu.BTG-Net++: Enhanced Bi-directional Task-Guided Network for Few-Shot Fine-Grained Image Classification. IEEE Transactions on Circuits and Systems for Video Technology. 2025. (SCI一区, CCF B)
   

8. Li-Jun Zhao, Zhen-Duo Chen*, Yongxin Wang, Xin Luo, Xin-Shun Xu. Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR). 2025. (CCF A)

9. Zhen-Xiang Ma, Zhen-Duo Chen*, Tai Zheng, Xin Luo, Zixia Jia, Xin-Shun Xu. Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship Modeling. AAAI Conference on Artificial Intelligence (AAAI). 2025. (CCF A)

10. Tai Zheng, Zhen-Duo Chen*, Zi-Chao Zhang, Zhen-Xiang Ma, Li-Jun Zhao, Chong-Yu Zhang, Xin Luo, Xin-Shun Xu. DGPrompt: Dual-guidance prompts generation for vision-language models. Neural Networks. 2025. (SCI, CCF B)

11. Zhen-Xiang Ma, Zhen-Duo Chen*, Li-Jun Zhao, Zi-Chao Zhang, Tai Zheng, Xin Luo, Xin-Shun Xu. Bi-directional Task-Guided Network for Few-Shot Fine-Grained Image Classification. ACM International Conference on Multimedia (MM). 2024. (CCF A)

12. Li-Jun Zhao, Zhen-Duo Chen*, Zhen-Xiang Ma, Xin Luo, Xin-Shun Xu. Angular Isotonic Loss Guided Multi-Layer Integration for Few-Shot Fine-Grained Image Classification. IEEE Transactions on Image Processing. 2024. (SCI一区, CCF A)

13. Zhen-Xiang Ma, Zhen-Duo Chen*, Li-Jun Zhao, Zi-Chao Zhang, Xin Luo, Xin-Shun Xu. Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification. AAAI Conference on Artificial Intelligence (AAAI). 2024. (CCF A)

14. Zi-Chao Zhang, Zhen-Duo Chen*, Yongxin Wang, Xin Luo, Xin-Shun Xu. A vision transformer for fine-grained classification by reducing noise and enhancing discriminative information. Pattern Recognition. 2024. (SCI一区, CCF B)

15. Zi-Chao Zhang, Zhen-Duo Chen*, Zhen-Yu Xie, Xin Luo, Xin-Shun Xu. S3Mix: Same Category Same Semantics Mixing for Augmenting Fine-grained Images. ACM Transactions on Multimedia Computing Communications and Applications. 2024. (SCI, CCF B)

16. Zi-Chao Zhang, Zhen-Yu Xie, Zhen-Duo Chen*, Yu-Wei Zhan, Xin Luo, Xin-Shun Xu. Expansion window local alignment weighted network for fine-grained sketch-based image retrieval. Pattern Recognition 2023. (SCI一区, CCF B)

17. Chong-Yu Zhang, Xin Luo, Yu-Wei Zhan, Peng-Fei Zhang, Zhen-Duo Chen, Yongxin Wang, Xun Yang, Xin-Shun Xu. Self-Distillation Dual-Memory Online Hashing with Hash Centers for Streaming Data Retrieval. ACM International Conference on Multimedia (MM). 2023. (CCF A)

18. Tian-Zi Niu, Shan-Shan Dong, Zhen-Duo Chen, Xin Luo, Zi Huang, Shanqing Guo, Xin-Shun Xu. A multi-layer memory sharing network for video captioning. Pattern Recognition. 2023. (SCI一区, CCF B)

19.  Yongxin Wang, Zhen-Duo Chen, Xin Luo, Rui Li, Xin-Shun Xu. Fast Cross-Modal Hashing with Global and Local Similarity Embedding. IEEE Transactions on Cybernetics. 2022. (SCI一区, CCF B)

20. Yongxin Wang, Zhen-Duo Chen, Xin Luo, Xin-Shun Xu. A High-Dimensional Sparse Hashing Framework for Cross-Modal Retrieval. IEEE Transactions on Circuits and Systems for Video Technology. 2022. (SCI, CCF B)

21. Xiao-Ming Wu, Xin Luo, Yu-Wei Zhan, Chen-Lu Ding, Zhen-Duo Chen, Xin-Shun Xu. Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data. AAAI Conference on Artificial Intelligence (AAAI). 2022. (CCF A)

22.  Yongxin Wang, Zhen-Duo Chen, Xin Luo, Xin-Shun Xu. High-Dimensional Sparse Cross-Modal Hashing with Fine-Grained Similarity Embedding. The Web Conference (WWW). 2021. (CCF A)

23. Hong-Lei Yao, Yu-Wei Zhan, Zhen-Duo Chen, Xin Luo, Xin-Shun Xu. TEACH: Attention-Aware Deep Cross-Modal Hashing. ACM International Conference on Multimedia Retrieval (ICMR). 2021. (CCF B)

24. Yu-Wei Zhan, Xin Luo, Yu Sun, Yongxin Wang, Zhen-Duo Chen, Xin-Shun Xu. Weakly-Supervised Online Hashing. IEEE International Conference on Multimedia & Expo (ICME). 2021. (CCF B)

25. Wan-Jin Yu, Zhen-Duo Chen, Xin Luo, Wu Liu, Xin-Shun Xu. DELTA: A deep dual-stream network for multi-label image classification. Pattern Recognition. 2019. (SCI一区, CCF B)

26. Xin Luo, Peng-Fei Zhang, Ye Wu, Zhen-Duo Chen, Hua-Junjie Huang, Xin-Shun Xu. Asymmetric Discrete Cross-Modal Hashing. ACM International Conference on Multimedia Retrieval (ICMR). 2018. (CCF B)

27. Chuan-Xiang Li, Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu. SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval. ACM International Conference on Multimedia (MM), 2018. (CCF A)

28. Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu. Fast Scalable Supervised Hashing. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018. (CCF A)

承担项目

• 国家自然科学基金青年科学基金项目：基于元类别属性分解的细粒度图像检索相关问题研究，主持

• 国家自然科学基金面上项目：面向大规模细粒度数据的快速检索相关问题研究，参与

学术服务

• 担任IEEE TIP、IEEE TCSVT、IEEE TMM、IJCV、Pattern Recognition等学术期刊审稿人

• 担任AAAI、ACM MM、CVPR、IJCAI、ICCV、NeurIPS等学术会议程序委员会成员或审稿人