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Xiaoli Li, PhD (IEEE Fellow)
Head of Pillar,
Information Systems Technology and Design
Kwan Im Thong Hood Cho Temple Chair Professor
8 Somapah Road, Singapore 487372
Email: xiaoli_li@sutd.edu.sg Tel: +65 6303-7948 Dr Li's SUTD Website Chinese Name: 李晓黎 (Li Xiaoli) Involvement in External Events |
Adjunct Full Professor
College of Computing and Data Science
Nanyang Technological University Nanyang Avenue, Singapore 639798 NTU Webmail Email: xlli@ntu.edu.sg Short Bio for Papers Photo |
Prof. Li is an Adjunct Full Professor at Nanyang Technological University (NTU) and previously held an adjunct faculty appointment at the National University of Singapore (NUS) for six years. He is an IEEE Fellow and a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA).
His research interests include artificial intelligence, machine learning, data mining, multimodal AI, time-series analytics, and bioinformatics. He has published over 400 peer-reviewed papers, which have received more than 40,000 citations, with an h-index of 95. His work has been recognized with more than ten Best Paper Awards, including the prestigious DASFAA 10+ Year Best Paper Award. He has also been named a Clarivate Highly Cited Researcher and is listed among Stanford University's World's Top 2% Scientists in Artificial Intelligence.
Prof. Li currently serves as an Associate Editor for IEEE Transactions on Artificial Intelligence and ACM Computing Surveys. He has played leading roles in many premier AI and data mining conferences, serving as Conference Chair, Program Chair, Area Chair, Exhibition Chair, Sponsor Chair, or Senior Program Committee Member for venues including AAAI, IJCAI, NeurIPS, ICML, ICLR, KDD, and ICDM.
Beyond academia, Prof. Li has extensive experience in translating AI research into real-world impact. He has established multiple industry joint laboratories, including serving as Co-Director of the KPMG–A*STAR I2R Joint Laboratory, and has led more than ten major R&D collaborations with global industry partners spanning aerospace, telecommunications, manufacturing, healthcare, insurance, finance, and professional services. Prof. Li is also actively involved in Singapore's national AI and digital innovation ecosystem. He has been a member of the Information Technology Standards Committee (ITSC) under Enterprise Singapore (ESG) and the Infocomm Media Development Authority (IMDA) since 2020. He serves on the Health Innovation Expert Panel of the Ministry of Health (MOH), the Expert Panel of the Ministry of Education (MOE), and as an AI Advisor to the Smart Nation and Digital Government Office (SNDGO) under the Prime Minister's Office, contributing to national AI strategy, standards, and innovation initiatives. In recognition of his outstanding contributions to the field, Xiaoli's global standing in the field of Computer Science has been acknowledged by his ranking at #400+ among the Best Scientists by Research.com. Additionally, Stanford University has recognized his contributions, designating me as one of the world's top 2% scientists in the AI domain. His research has been widely published in top-tier academic journals and conference proceedings, and some of his representative publications can be found at the following link: publications
In 2005, Xiaoli Li was honored with the Best Paper Award in the 16th International Conference on Genome Informatics (GIW 2005), recognizing his research in the field of AI for bioinformatics. In 2008, he received the Best Poster Award in the 12th Annual International Conference Research in Computational Molecular Biology (RECOMB 2008). Xiaoli also received the Best Paper Runner-Up Award in the 16th International Conference on Database Systems for Advanced Applications (DASFAA 2011) in recognition of his research on database systems. In addition, Xiaoli's achievements have been recognized in several international benchmarking competitions, including the bioinformatics competition DREAM 2007 USA and the EU activity recognition challenge 2011, where he won two Best Performance Awards. He also received the Best Paper Award in the International Conference on Bioinformatics (InCoB 2016). In 2020, Xiaoli Li was honored with the Best Paper Award Runner-Up in the top Web Analytics conference, the 13th ACM International WSDM Conference (WSDM 2020), for his contribution to the field. In the same year, he was also recognized with the Finalist Academic Paper Award at The IEEE International Conference on Prognostics and Health Management (ICPHM 2020) for his exceptional research. More recently, Xiaoli Li received the Best Paper Award at the 18th IEEE Conference on Industrial Electronics and Applications (ICIEA 2022), further highlighting his excellence in the field.
Xiaoli has published more than 400 peer-reviewed papers across a wide range of disciplines. His research has appeared in some of the most prestigious conferences and journals in the fields of Data Mining, Machine Learning, Artificial Intelligence, Information Retrieval, and Bioinformatics. Specifically, he has published in top-tier conferences such as KDD, ICDM, SDM, PKDD/ECML, PAKDD, ICDE, ICML, IJCAI, AAAI, CVPR, ACL, EMNLP, SIGIR, CIKM, and UbiCom. His work has also been featured in leading journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, IEEE Transactions on Instrumentation & Measurement, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Big Data, IEEE Transactions on Sustainable Computing, IEEE Transactions on Vehicular Technology, IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE Transactions on Reliability, and more. Notably, Xiaoli has also published many impactful papers in the field of Bioinformatics, which have been featured in top-tier conferences such as ISMB/ECCB, CSB, and in journals such as PLOS Computational Biology, Bioinformatics, BMC Genomics, PLOS ONE, BMC Bioinformatics, Annals of the New York Academy of Sciences, and the Journal of Computational Biology. His work in this area has made significant contributions to the field of genomics and computational biology. Overall, Xiaoli's extensive publication record underscores his broad expertise and his exceptional ability to conduct innovative and impactful research across multiple fields.
Industry Applications: Xiaoli has extensive industry experience in leading research teams to tackle real-world applications. He has successfully led over 10 R&D projects in collaboration with industry partners from various verticals, including leading aerospace, telecom, insurance, and airline companies. His expertise in AI, data mining, and machine learning has enabled him to provide innovative solutions to address the challenges faced by different organizations.