邮 件：wjc1994@ustc.edu.cn
所属单位：人工智能与数据科学学院
个人主页： https://wujcan.github.io/
主要研究方向：通用人工智能与大模型，个性化大模型与社交科学智能，可信人工智能等。
吴剑灿，预聘副教授，2017年获得中国科学技术大学电子信息工程专业本科学位，2022年获得中国科学技术大学信息与通信工程专业博士学位。常年致力于信息检索与推荐、数据挖掘、机器学习等大数据与人工智能领域前沿研究，在CCF A类会议和期刊发表论文30余篇，如NeurIPS、ICML、ICLR、SIGIR、WWW、KDD、ACM TOIS等。根据谷歌学术网统计，截至2025年10月，文章总引用次数超过3400次，单篇引用超过1600次。多篇论文是会议最高引或入选最具影响力论文榜单（如SIGIR 2024, WWW 2023, KDD 2022, SIGIR 2021等）和最佳论文最终候选（如SIGIR 2024等）。已授权国家发明专利10余项。主持国自然青年科学基金（C类）和校企合作项目多项。
招生信息：
需学生具备：1. 对科研具备热情和决心2. 较强的编程能力3. 机器学习基础知识和实践经验4. 较好的数学基础（线性代数、概率论与统计等）5. 较好的英语水平（六级500分以上或其他对等成绩）6. 较好的沟通能力
近几年代表论著：
[1] Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, and Xing Xie. Self-supervised Graph Learning for Recommendation. In SIGIR 2021
[2] Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, and Xiangnan He. GIF: A General Graph Unlearning Strategy via Influence Function. In WWW 2023.
[3] Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, and Xiangnan He. Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. In NeurIPS 2023.
[4] Jiancan Wu, Xiang Wang, Xingyu Gao, Jiawei Chen, Hongcheng Fu, and Tianyu Qiu. On the Effectiveness of Sampled Softmax Loss for Item Recommendation. In TOIS 2024
[5] Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, and Maarten de Rijke. Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. In SIGIR 2024.
[6] Xiaoyu Kong, Jiancan Wu, An Zhang, Leheng Sheng, Hui Lin, Xiang Wang, and Xiangnan He. Customizing Language Models with Instance-wise LoRA for Sequential Recommendation. In NeurIPS 2024.
[7] Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, and Xiangnan He. β-DPO: Direct Preference Optimization with Dynamic β. In NeurIPS 2024.
[8] Wenyu Mao, Jiancan Wu, Weijian Chen, Chongming Gao, Xiang Wang, and Xiangnan He. Reinforced Prompt Personalization for Recommendation with Large Language Models. In TOIS 2025.
[9] Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, and Xiangnan He. Unified Parameter-Efficient Unlearning for LLMs. In ICLR 2025.
[10] Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, and Xiangnan He. Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. In ICLR 2025.