I am currently a lecturer at the School of Computer Science and Technology, Wuhan University of Science and Technology (WUST).

Since 2013, I have been studying at the School of Computer Science, Wuhan University (WHU), where I earned my Bachelor’s and Ph.D. degrees, supervied by Professor Tieyun Qian (钱铁云).

My research interests focus on recommender systems, with an emphasis on sequential recommendation, Point-of-Interest (POI) recommendation, and generative recommendation. I have published 10+ papers at well-known conferences and journals, such as AAAI, EMNLP, ACM TOIS, and IEEE TKDE. In the future, I aim to explore the potential applications of large language models to the POI recommendation or urban computing.

If you are interested in my study, please feel free to email me at sunke@wust.edu.cn.

Publications

• Local and Global Exploration for Next New POI Recommendation.

  Ke Sun, Liyu Zhou, Mayi Xu, Tieyun Qian.

  TKDD2026 (CCF-B)

• Recursive Short-to-Long Generalization for Multi-hop Reasoning.

  Mayi Xu, Ke Sun, Jianhao Chen, Qiankun Pi, Guixin Su, Yunfeng Ning, Yongqi Li, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian.

  SIGIR2026 (CCF-A)

• Adaption-of-thought: Learning question difficulty improves large language models for reasoning.

  Mayi Xu, Yongqi Li, Ke Sun, and Tieyun Qian.

  EMNLP2024 (CCF-B)

• City Matters! A Dual-Target Cross-City Sequential POI Recommendation Model.

  Ke Sun, Chenliang Li, and Tieyun Qian.

  TOIS2024 (CCF-A)

• Dynamic Open-book Prompt for Conversational Recommender System.

  Xuan Ma, Tieyun Qian, and Ke Sun.

  EMNLP2023 Findings (CCF-B)

• Pre-training across different cities for next poi recommendation.

  Ke Sun, Tieyun Qian, Chenliang Li, Xuan Ma, Qing Li, Ming Zhong, Yuanyuan Zhu, and Mengchi Liu.

  TWEB2023 (CCF-B)

• Cold-Start Multi-hop Reasoning by Hierarchical Guidance and Self-verification.

  Mayi Xu, Ke Sun, Yongqi Li, and Tieyun Qian.

  ECML2023 (CCF-B)

• Towards more effective encoders in pre-training for sequential recommendation.

  Ke Sun, Tieyun Qian, Ming Zhong, and Xuhui Li.

  WWWJ2023 (CCF-B)

• Intent disentanglement and feature self-supervision for novel recommendation.

  Tieyun Qian, Yile Liang, Qing Li, Xuan Ma, Ke Sun, Zhiyong Peng.

  TKDE2022 (CCF-A)

• Enhancing graph convolution network for novel recommendation.

  Xuan Ma, Tieyun Qian, Yile Liang, Ke Sun, Hang Yun, and Mi Zhang.

  DASFAA2022 (CCF-B)

• Context-aware seq2seq translation model for sequential recommendation.

  Ke Sun, Tieyun Qian, Xu Chen, Ming Zhong.

  INS2021 (CCF-B)

• Where to go next: Modeling long-and short-term user preferences for point-of-interest recommendation.

  Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, and Hongzhi Yin.

  AAAI2020 (CCF-A)

• What Can History Tell Us? Identifying Relevant Sessions for Next-Item Recommendation.

  Ke Sun, Tieyun Qian, Hongzhi Yin, Tong Chen, Yiqi Chen, and Ling Chen.

  CIKM2019 (CCF-B)

• “Bridge” Enhanced Signed Directed Network Embedding.

  Yiqi Chen, Tieyun Qian, Huan Liu, and Ke Sun.

  CIKM2018 (CCF-B)

• Exploiting user and item attributes for sequential recommendation.

  Ke Sun and Tieyun qian.

  ICONIP2018 (CCF-C)

Educations

• 2020.09 - 2024.07, PhD, Computer Software and Theory, School of Computer Science, Wuhan University, Wuhan, China. Advised by Tieyun Qian.
• 2017.09 - 2020.07, Master, Computer Software and Theory, School of Computer Science, Wuhan University, Wuhan, China. Advised by Tieyun Qian.
• 2013.09 - 2017.07, Undergraduate, Internet of Things, School of Computer Science, Wuhan University, Wuhan, China.

Awards

• Scholarship of Doctoral Academic Forum, Wuhan University, 2023
• Academic Scholarship, Wuhan University, 2023
• Outstanding Graduate Student, Wuhan University, 2022
• Longfor Scholarship, Wuhan University, 2022
• Ruan Liping Scholarship, Wuhan University, 2020
• Academic Scholarship, Wuhan University, 2020

Professional Services

• Reviewer: ACL2025, IEEE TKDE, Journal of Supercomputing, and Knowledge and Information Systems.