Aixin Sun
Aixin Sun is an Associate Professor at Nanyang Technological University in Singapore who studies information retrieval, recommender systems and named entity recognition. After a B.A.Sc and a PhD at NTU in 2001 and 2004, he joined its faculty in 2005. A 2013 paper he coauthored with Gao Cong and others, on time-aware point-of-interest recommendation, received a SIGIR 2025 Test of Time Honorable Mention. Surveys of deep learning for recommender systems (2017) and for named entity recognition (2018) carry his name as coauthor, and a 2023 study with Yitong Ji, Jie Zhang and Chenliang Li examined data leakage in offline recommender evaluation. He is Associate Dean for Undergraduate Education in NTU's College of Computing and Data Science.
Timeline
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2001–2004
B.A.Sc and PhD at NTU
He earns a B.A.Sc with first class honours in 2001 and a PhD in 2004, both from the School of Computer Science and Engineering at Nanyang Technological University (NTU) in Singapore.
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Since 2005
Joining the NTU faculty
He joins the NTU faculty in 2005, in what is now the College of Computing and Data Science. His research interests include information retrieval, text and web mining, social computing, multimedia and digital libraries.
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2013
Time-aware point-of-interest recommendation
With Quan Yuan, Gao Cong, Zongyang Ma and Nadia Magnenat-Thalmann, he presents 'Time-aware point-of-interest recommendation' at SIGIR 2013. The paper models user behaviour and location data to predict where people want to go next.
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2017
Demo chair at CIKM 2017
He serves as a Demo Track chair of CIKM 2017, together with Vincent S. Tseng of National Cheng Kung University and Chenliang Li of Wuhan University.
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2017–2020
Two deep learning surveys
In 2017, he coauthors a survey of deep learning based recommender systems with Shuai Zhang, Lina Yao and Yi Tay, accepted by ACM Computing Surveys. In December 2018, he coauthors a survey of deep learning for named entity recognition with Jing Li, Jianglei Han and Chenliang Li, revised in March 2020.
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2020–2024
Data leakage in recommender evaluation
In October 2020, he and coauthors Yitong Ji, Jie Zhang and Chenliang Li post a study of data leakage in offline evaluation of recommender systems, published in ACM Transactions on Information Systems in 2023. His perspectives paper 'Take a Fresh Look at Recommender Systems from an Evaluation Standpoint', accepted for SIGIR 2023, re-examines train/test data splits and the global timeline. In 2024, he publishes the single-author essay 'Beyond Collaborative Filtering: A Relook at Task Formulation in Recommender Systems' in the SIGWEB Newsletter.
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2025
Test of Time Honorable Mention
The 2013 paper 'Time-aware point-of-interest recommendation' earns the ACM SIGIR 2025 Test of Time Honorable Mention Award. NTU announces the award in August 2025.
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As of October 2026
Associate Dean at NTU
He is an Associate Professor at NTU's College of Computing and Data Science and serves as its Associate Dean for Undergraduate Education.
Career
- Since 2005Nanyang Technological UniversityAssociate Professor
Education
- 2004Nanyang Technological UniversityPhD
- 2001Nanyang Technological UniversityB.A.Sc.
Sources and credits
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- Our People | Data Management and Analytics Lab (DMAL) | NTU Singapore
- Our People | Research | NTU Singapore
- CCDS Research Honoured with SIGIR 2025 Test of Time Award | College of Computing and Data Science | NTU Singapore
- Test of Time Award Winners | SIGIR
- CIKM 2017
- [1707.07435] Deep Learning based Recommender System: A Survey and New Perspectives
- [1812.09449] A Survey on Deep Learning for Named Entity Recognition
- [2010.11060v4] A Critical Study on Data Leakage in Recommender System Offline Evaluation
- [2210.04149] Take a Fresh Look at Recommender Systems from an Evaluation Standpoint
- [2404.13375] Beyond Collaborative Filtering: A Relook at Task Formulation in Recommender Systems
- Deanery | College of Computing and Data Science | NTU Singapore

