申大忠，南京航空航天大学计算机科学与技术学院副研究员。2017年于中国科学技术大学数学科学学院获理科学士学位，2023年于中国科学技术大学计算机学院获工学博士学位，博士导师为熊辉教授和陈恩红教授。主要研究生成式人工智能，具体包括扩散模型、对抗监督、变分推断、图神经网络等。近年来在TKDE、TOIS、NeurIPS、CVPR、SIGKDD、WWW、SIGIR、IJCAI等人工智能相关领域顶级会议与期刊上发表论文30余篇（近20篇CCF A 类），并常年受邀担任了TKDE、 TOIS、TNNLS、NeurIPS、ICML、ICLR、SIGKDD等相关期刊或会议的程序委员会委员和审稿人。参与和主持多个项目，如国家重点研发计划、国家自然基金项目等。

个人主页： www.shendazhong.com

其他主页： 谷歌学术 

部分发表论文：

1. Hanzhe Li, Dazhong Shen* , Chao Wang, Yuting Liu and Jingjing Gu, Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation Approach, The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR 2025), 2025. (CCF A)

2. Dazhong Shen, Chuan Qin, Qi Zhang, Hengshu Zhu, and Hui Xiong. Handling OverSmoothing and Over-Squashing in Graph Convolution with Maximization Operation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.  (CCF B JCR Q1)

3. Dazhong Shen, Guanglu Song, Zeyue Xue, Fu-Yun Wang, Yu Liu. Rethinking the Spa- tial Inconsistency in Classifier-Free Diffusion Guidance, In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-2024), 2024. (CCF A)

4. Dazhong Shen, Hengshu Zhu, Keli Xiao, Xi Zhang, Hui Xiong. Exploiting Connections among Personality, Job Position, and Work Behavior: Evidence from Joint Bayesian Learn- ing. ACM Transactions on Management Information Systems (TMIS), 2023.

5. Dazhong Shen, Chuan Qin, Hengshu Zhu, Tong Xu, Enhong Chen, Hui Xiong. Joint Rep- resentation Learning with Relation-enhanced Topic Models for Intelligent Job Interview Assessment, ACM Transactions on Information Systems (ACM TOIS), 2021. (CCF A)

6. Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, Hui Xiong. Topic Modeling Revisited: A Document Graph-based Neural Network Perspective. The 35th Conference on Neural Information Processing Systems (NeurIPS-2021), 2021. (CCF A)

7. Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong. Reg- ularizing Variational Autoencoder with Diversity and Uncertainty Awareness. The 30th International Joint Conference on Artificial Intelligence (IJCAI-2021), 2021. (CCF A)

8. 申大忠, 张琦, 徐童, 祝恒书, 赵雯佳, 殷子凯, 周培伦, 房立华, 陈恩红, 熊辉. EL-Picker:基于 集成学习的余震P波初动实时拾取方法, 《中国科学: 信息科学》, 2020. (CCF A Chinese)

9. Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong. A Joint Learning Approach to Intelligent Job Interview Assessment, The 27th International Joint Conference on Artificial Intelligence (IJCAI-2018), 2018. (CCF A)

10. Guoqing Zhao, Qi Zhang, Shaopeng Zhai, Dazhong Shen, Tianyi Zhang, Yu Qiao, Tong Xu, I-Lora: Iterative Merging of Routing-Tuned Low-Rank Adapters for Multi-task Learn- ingzhege. IEEE International Conference on Multimedia&Expo 2025 (ICME 2025), 2025. (CCF B)

11. Shengzhe Zhang, Liyi Chen, Dazhong Shen, Chao Wang, Hui Xiong. Hierarchical Time- Aware Mixture of Experts for Multi-Modal Sequential Recommendation. The 34th Interna- tional World Wide Web Conference (WWW-2025), 2025. (CCF A)

12. Haiping Ma, Manwei Li, Chuan Qin, Dazhong Shen, Hengshu Zhu, Xingyi Zhang, and Hui Xiong. Joint Ability Assessment for Talent Recruitment: A Neural Cognitive Diagnosis Approach. ACM Transactions on Management Information Systems (ACM TMIS), 2025.

13. Pengfei Yu, Jingjing Gu, Dazhong Shen, DongXin, Yang Liu, Hui Xiong. Instruction Se- mantics Enhanced Dual-Flow Graph Model for GPU Error Resilience Prediction. The 31st SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2024. (CCF A)

14. Fu-Yun Wang, Zhaoyang Huang, Alexander William Bergman, Dazhong Shen, Peng Gao, Michael Lingelbach, Keqiang Sun et al. Phased Consistency Model. The 38th Conference on Neural Information Processing Systems (NeurIPS-2024), 2024. (CCF A)         

15. Dongzhi Jiang, Guanglu Song, Xiaoshi Wu, Renrui Zhang, Dazhong Shen, Zhuofan Zong, Yu Liu, and Hongsheng Li. CoMat: Aligning Text-to-Image Diffusion Model with Image- to-Text Concept Matching. The 38th Conference on Neural Information Processing Systems (NeurIPS-2024), 2024. (CCF A)

16. Zhuofan Zong, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao, Dongzhi Jiang, Hongsheng Li, and Yu Liu. Mova: Adapting mixture of vision experts to multimodal context. The 38th Conference on Neural Information Processing Systems (NeurIPS-2024), 2024.(CCF A)

17. Fu-Yun Wang, Xiaoshi Wu, Zhaoyang Huang, Xiaoyu Shi, Dazhong Shen, Guanglu Song, Yu Liu, Hongsheng Li, Be-Your-Outpainter: Mastering Video Outpainting through Input- Specific Adaptation. European Conference on Computer Vision (ECCV 2024), 2024. (CCF B)

18. Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Hui Xiong, and Yanyong Zhang. DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives, The 33rd International Joint Conference on Artificial Intelligence (IJCAI-2024), 2024. (CCF A)

19. Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, and Hui Xiong. AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations, The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2024), 2024. (CCF A)

20. Xiaoshan Yu, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu, Hui Xiong. RDGT: Enhancing Group Cognitive Diagnosis with Relation-Guided Dual- Side Graph Transformer, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024. (CCF A)

21. Hanzhe Li, Jingjing Gu, Xinjiang Lu, Dazhong Shen, Yuting Liu, Yanan Deng, Guoliang Shi, Hui Xiong. Beyond Relevance: Factor-level Causal Explanation for User Travel De- cisions with Counterfactual Data Augmentation, ACM Transactions on Information Sys- tems(ACM TOIS), 2024. (CCF A)