I am currently a postdoctoral researcher at the Department of Computer Science and Technology, Tsinghua University, in Beijing, China, under the supervision of Professor Min Zhang (张敏).

I am now working on recommendation algorithms, user modeling, social network modeling, and LLM-based recommendation research. If you are seeking any form of academic cooperation, please feel free to email me at sun.hfut@gmail.com.

I obtained my bachelor’s, master’s, and doctoral degrees from the School of Computer Science and Information Engineering, Hefei University of Technology. During my master’s and doctoral studies, I was guided by Meng Wang Meng Wang (汪萌) and Le Wu (吴乐).

During my doctoral studies, I visited Missouri University of Science and Technology, Rolla Campus, from December 2018 to July 2019, where I received guidance from Professor Yanjie Fu (傅衍杰). Additionally, I visited the Social Computing Group at Microsoft Research Asia from May 2021 to July 2021, under the supervision of Professor Fangzhao Wu (吴方照).

My research interests include recommendation algorithms, user modeling, social network modeling, and LLM-based recommendation research. I have published 20+ papers at the top international AI conferences such as WWW, KDD, SIGIR, and AI Journals such as IEEE TKDE, IEEE TMM, and ACM TOIS.

🎉 My WWW 2024 Industry Track work achieved a 50.65% increase in online revenue on Huawei HiMedia, and an 18.43% uplift in traffic across Huawei-related business scenarios.

My CV can be downloaded via this link.

🔥 News

  • 2024.03: 🎉 Two long papers are accepted by SIGIR 2024, and one resource paper is accepted by SIGIR 2024
  • 2024.03: 🎉 One long paper is accepted by DASFAA 2024, and one short paper is accepted by DASFAA 2024
  • 2024.02: 🎉 One long paper is accepted by WWW 2024 Industry Track
  • 2024.01: 🎉 One long paper is accepted by WWW 2024 Research Track
  • 2023.10: 🎉 One paper is accepted by IEEE TKDE
  • 2023.08: 🎉 One paper is accepted by CIKM 2023
  • 2023.05: 🎉 One paper is accepted by KDD 2023
  • 2023.04: 🎉 Two papers are accepted by SIGIR 2023
  • 2023.01: I join the Department of Computer Science and Technology, Tsinghua University as a postdoc in China!

📝 Publications

SIGIR 2024
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Sequential Recommendation with Latent Relations based on Large Language Model
Shenghao Yang, Weizhi Ma, Peijie Sun, Qingyao Ai, et al.

  • Academic Impact: In this work, we leverage rich world knowledge which is compressed in LLM to discover latent item relations for enhanced recommendation.
WWW 2024 Industry
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Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty
Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, et al.

  • Indudtry Impact: The research outcomes of this work achieved a 50.65% increase in online revenue on Huawei HiMedia, and an 18.43% uplift in traffic across Huawei-related business scenarios.
IEEE TKDE 2023
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Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering
Peijie Sun, Le Wu, Kun Zhang, Xiangzhi Chen, Meng Wang.

  • Academic Impact: Our proposed algorithm outperforms the best algorithm on the candidate matching leaderboard on BARS, significantly on Yelp and Gowalla datasets. Our proposed nearest neighbor-enhanced supervised contrastive module significantly outperforms the baseline model. On three real-world datasets, Yelp2018, Gowalla, and Amazon-Book, our model surpasses the original SGL by 10.09%, 7.09%, and 35.36% on NDCG@20, respectively.
CIKM 2023
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Understanding User Immersion in Online Short Video Interaction
Zhiyu He, Shaorun Zhang, Peijie Sun, Jiayu Li, Xiaohui Xie, Min Zhang, Yiqun Liu

  • Academic Impact: In this study, we primarily investigate users’ immersion states while browsing short videos. We argue that, instead of traditional metrics like user dwell time on short videos, immersion state should be considered as a more effective evaluation criterion for user satisfaction with short video content.
SIGIR 2019
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A Neural Influence Diffusion Model for Social Recommendation
Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang

  • Academic Impact: We are among the first to apply graph convolutional techniques to social recommendation tasks. According to Google Scholar, as of today, our work has garnered over 500 citations. Besides, we have also provied the tensorflow and paddlepaddle version code.

🎖 Fellowships and Awards

  • 2022.07-present China Postdoctoral Science Foundation Special Funding for the 4th Batch (Pre-Station)
  • 2024.04 Excellent doctoral dissertation of Anhui Province (Top 1%)
  • 2020.12 National Scholarship for Doctoral Students in China (Undergraduate) (Top 1%)
  • 2019.07 SIGIR2019 Travel Grant
  • 2018.07 SIGIR2018 Volunteer Travel Grant

📖 Educations

  • 2018.07 - 2022.05, PhD, Signal and Information Processing, School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China. Advised by Meng Wang and Le Wu
  • 2015.09 - 2018.07, Master, Signal and Information Processing, School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China. Advised by Meng Wang and Le Wu
  • 2011.09 - 2015.07, Undergraduate, Electronic Information Science and Technology, Hefei University of Technology, Hefei, China.

💻 Internships