Xiaoli Li, PhD
Adjunct Full Professor
School of Computer Science and Engineering
The Machine Intellection department has established itself as a leader in the industry, with a proven track record of successful collaborations with various partners, including SIA, KPMG, Lam Research, GLOBALFOUNDRIES, DBS, Singtel, Mclaren, AIA, Standard Chartered Bank, NEC, and NCS. Moreover, the department has also achieved remarkable success on the international stage, having won prestigious competitions such as the IJCAI Competition (Stage 1), which is considered the top AI Conference in the world, in 2015, and KDD Cup (Part of First Place Winning Team), which is the best data mining competition in the world, in the same year. Additionally, the department also emerged victorious in the GE Flight Quest Challenge in 2013, further solidifying its reputation as a world-class research team.
Research: Xiaoli's research interests span a wide range of topics, including data mining, machine learning, artificial intelligence, and bioinformatics. He is highly respected in the academic community and has served in various leadership positions (Area Chairs/Senior PC members/workshop chairs/session chairs) in the most prominent AI/data mining/machine learning related conferences such as KDD, ICDM, SDM, PKDD/ECML, ACML, PAKDD, WWW, IJCAI, AAAI, ACL, and CIKM. Additionally, he has also edited six books and has numerous highly cited papers, with over 19,000 citations and an h-index of 64. In recognition of his outstanding contributions to the field, Xiaoli has been identified as one of the world's top 2% scientists in the AI domain by Stanford University. 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 300 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.
My Google Citations