孙培杰

姓名：孙培杰

职称：讲师

部门：计算机技术研究所

研究方向：数据挖掘，大语言模型应用

邮箱：peijiesun@njupt.edu.cn

个人简介：（2022 年于合肥工业大学取得博士学位，博士导师汪萌，吴乐。自2022年7月至2024年 9 月，于清华大学计算机系人智所从事博士后工作，合作导师张敏。并于 2024 年 10 月加入南京邮电大学计算机学院。研究方向为推荐算法、用户建模、社交网络建模和结合大语言模型的网络空间安全研究。已在 WWW、KDD、SIGIR、IEEE TKDE、IEEE TMM 和 ACM TOIS 等顶级国际会议和期刊上合计发表 31篇学术论文。其中一作论文5篇，通讯作者论文1篇，指导老师一作且本人二作论文1篇。截至 2025 年 1 月5日，谷歌学术显示本人的研究工作已被引用 1660次。本人在WWW2024发表的工作在华为推荐相关业务场景上获得了18.43%的总收益提升。除此之外，已申请或授权专利10篇。其中两个专利被转化并获得 10 万元转化费用。2020 年荣获博士研究生国家奖学金。2023 年荣获安徽省优秀博士论文。2024 年荣获 EMNLP 2024 Resource Award，2024 年荣获全国一级学会中国中文信息学会科学技术奖）

科研成果：（

[1]    Peijie Sun, Le Wu, Kun Zhang, Xiangzhi Chen, Yong Li, Meng Wang. Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. IEEE TKDE 2023.(CCF A期刊)

[2]    Peijie Sun, Le Wu, Kun Zhang, Meng Wang. An Unsupervised Aspect-aware Recommendation Model with Explanation Text Generation. ACM TOIS 2021. (CCF A期刊)

[3]    Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, and Meng Wang. Collaborative-enhanced prediction of spending on newly downloaded mobile games under consumption uncertainty. WWW, 2024. (CCF A会议)

[4]    Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang. Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. WWW 2020. (谷歌学术引用：81) (CCF A会议)

[5]    Peijie Sun, Le Wu, Meng Wang. Attentive Recurrent Social Recommendation. SIGIR 2018. (谷歌学术引用：124) (CCF A会议)

[6]    Le Wu, Peijie Sun(通讯), Richang Hong, Yanjie Fu, Xiting Wang, Meng Wang. A Neural Influence Diffusion Model for Social Recommendation. SIGIR 2019. (谷歌学术引用：560) (CCF A会议)

[7]    Le Wu, Peijie Sun, Richang Hong, Yong Ge, Meng Wang. Collaborative Neural Social Recommendation. IEEE TSMC: Systems 2018. (谷歌学术引用：101) (SCI 一区)

[8]    Popularity-Aware Alignment and Contrastive for Mitigating Popularity Bias, Miaomiao Cai, Lei Chen, Yifan Wang, Haoyue Bai, Peijie Sun, et al.KDD 2024. (CCF A会议)

[9]    Double Correction Framework for Denoising Recommendation, Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, et al.KDD 2024. (CCF A会议)

[10]Shaorun Zhang, Zhiyu He, Ziyi Ye, Peijie Sun, Qingyao Ai, Min Zhang, and Yiqun Liu. Eegsvrec: An eeg dataset with user multidimensional affective engagement labels in short video recommendation. SIGIR, 2024. (CCF A会议)

[11]Shenghao Yang, Weizhi Ma, Peijie Sun, Min Zhang, Qingyao Ai, Yiqun Liu, and Mingchen Cai. Common sense enhanced knowledge-based recommendation with large language model. DASFAA, 2024. (CCF B会议)

[12]Shenghao Yang, Weizhi Ma, Peijie Sun, Qingyao Ai, Yiqun Liu, Mingchen Cai, and Min Zhang Sequential recommendation with latent relations based on large language model. SIGIR, 2024. (CCF A会议)

[13]Yifan Wang, Peijie Sun, Weizhi Ma, Min Zhang, Yuan Zhang, Peng Jiang, and Shaoping Ma. Intersectional two-sided fairness in recommendation. WWW, 2024. (CCF A会议)

[14]Jiayu Li, Peijie Sun, Chumeng Jiang, Weizhi Ma, Qingyao Ai, and Min Zhang. A situation-aware enhancer for personalized recommendation. DASFAA. 2024. (CCF B会议)

[15]Hanyu Li, Weizhi Ma, Peijie Sun, Jiayu Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Min Zhang, and Shaoping Ma. Aiming at the target: Filter collaborative information for cross-domain recommendation. SIGIR, 2024. (CCF A会议)

[16]Zhiyu He, Shaorun Zhang, Peijie Sun, Jiayu Li, Xiaohui Xie, Min Zhang, and Yiqun Liu. Understanding user immersion in online short video interaction. In CIKM, 2023. (CCF B会议)

[17]Yifan Wang, Peijie Sun, Min Zhang, Qinglin Jia, Jingjie Li, Shaoping Ma. Unbiased Delayed Feedback Label Correction for Conversion Rate Prediction. KDD 2023. (CCF A会议)

[18]Jiayu Li, Peijie Sun, Zhefan Wang, Weizhi Ma, Yangkun Li, Min Zhang, et al. Intent-aware Ranking Ensemble for Personalized Recommendation. SIGIR 2023. (CCF A会议)

[19]Jie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong, Meng Wang. Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation. SIGIR 2023. (CCF A会议)

[20]Kang Liu, Feng Xue, Dan Guo, Peijie Sun, Shengsheng Qian, Richang Hong. Multimodal Graph Contrastive Learning for Multimedia-Based Recommendation. IEEE TOMM 2023. (CCF B 期刊)

[21]Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li. A review-aware graph contrastive learning framework for recommendation. SIGIR 2022. (谷歌学术引用：71) (CCF A会议)

[22]Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie. Profairrec: Provider fairness-aware news recommendation. SIGIR 2022. (CCF A会议)

[23]Suchang Luo, Yonghui Yang, Kun Zhang, Peijie Sun, Le Wu, and Richang Hong. Self-supervised cross domain social recommendation. In ICCAl, pages 286-292. ACM, 2022. (EI 收录)

[24]Jingyu Peng, Le Wu, Peijie Sun, Meng Wang. Meta-learned ID Embedding for Online Inductive Recommendation. CCIR 2021. (EI 收录)

[25]Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang. DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. IEEE TKDE 2020. (谷歌学术引用：242) (CCF A期刊)

Hongfeng Bao, Le Wu, Peijie Sun. Contextual Attention Model for Social Recommendation. PCM 2018. (EI收录)）