Xiaoli Li, PhD (IEEE Fellow)   Department Head (Machine Intellection department)  Institute for Infocomm Research   Technical Director , AI for Manufacturing COE (AIMfg)  1 Fusionopolis Way #21-01 Connexis, Singapore 138632  Email: xlli@i2r.a-star.edu.sg  Tel: 65 64082167; Fax: 65 67761378  Dr Li's I2R Website  Chinese Name: 李晓黎 (Li Xiaoli)  Involving at 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   ORCID 0000-0002-0762-6562  Scopus 35487931000  Short Bio for paper  photo

Profile

Xiaoli is currently a department head (Machine Intellection department, consisting of 100+ AI and data scientists, which is the largest AI and data science group in Singapore) and a principal scientist at the Institute for Infocomm Research, A*STAR, Singapore. He is a technical director of AI for Manufacturing COE (AIMfg). He also holds adjunct professor position at Nanyang Technological University (He was holding adjunct position at National University of Singapore for 6 years). He is an IEEE Fellow and Fellow of Asia-Pacific Artificial Intelligence Association (AAIA). He has been recognized as Clarivate's Highly Cited Researcher. Xiaoli is also serving as KPMG-I2R joint lab co-director. He has been a member of Information Technology Standards Committee (ITSC) from ESG Singapore and Infocomm Media Development Authority (IMDA) since 2020. Moreover, he serves as a health innovation expert panel member for the Ministry of Health (MOH), expert panel member for Ministry of Education (MOE), as well as an AI advisor for the Smart Nation and Digital Government Office (SNDGO), Prime Minister s Office, highlighting his extensive involvement in key Government and industry initiatives.

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 20,000 citations and 70+ h-index. 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 #713 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

• Time Series Data Analytics (more than 3000 citations). Xiaoli's contributions to the field of time series sensor data analytics are particularly noteworthy. His groundbreaking work has been widely cited, with over 3000 citations to date. As one of the pioneers in this area, he was one of the first researchers to formulate the sensor feature learning problem using deep neural networks. His seminal paper on this topic, presented at the IJCAI conference in 2015, has been cited over 1,000 times, highlighting the significance and impact of his research. In addition to his early work in sensor feature learning, Xiaoli has also made significant contributions to deep learning-based remaining useful life prediction. His research in this area has been widely recognized and cited, with his paper on this topic having been cited over 1,000 times. Overall, Xiaoli's work has had a significant impact on the field of time series sensor data analytics, and his contributions continue to shape research in this area.
• Positive unlabelled based learning (more than 3000 citations). Xiaoli's contributions to positive unlabelled (PU) based learning have been widely recognized and cited, with over 3000 citations to his work. He was instrumental in formulating the PU learning problem, and the term itself was coined in his 2005 paper, co-authored with Prof Bing Liu, presented at the ECML 2005. His seminal work in this area includes papers presented at the ICDM conference in 2003, which has received over 1,000 citations, the ICML conference in 2002, which has over 800 citations, and the IJCAI conference in 2003, which has received over 600 citations. His work has significantly advanced the field of machine learning and has been a catalyst for further research in PU learning.
• Social/biological network mining (more than 3000 citations). Xiaoli's research in social and biological network mining has been highly influential. His contributions in this area have been recognized with three Best Paper Awards at international conferences. His work in social network mining has explored various aspects of social networks, including community detection, rising star detection. He has also made significant contributions to the field of biological network mining, including the development of novel algorithms for gene function prediction, protein complex detection, disease gene prediction and drug discovery.
• Xiaoli is a prolific researcher and has made significant contributions to the fields of AI, NLP/text analytics, and data mining. He has published more than papers at top-tier conferences in these areas. Specifically, he has published 20+ papers at leading AI conferences such as AAAI and IJCAI, which are highly competitive and selective. Additionally, he has published 20+ papers at top NLP/text analytics conferences, including ACL, EMNLP, which are renowned for their contributions to natural language processing and text analytics. Furthermore, Xiaoli has published 20+ papers at top-tier data mining conferences, such as KDD, WSDM, ICDM, SDM, and PKDD, which are known for their innovative approaches to data analysis and knowledge discovery. His extensive contributions to these conferences showcase his expertise in multiple areas and demonstrate his commitment to advancing these fields.

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 350 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.

Research Interests

• Artificial Intelligence,
• Data Analytics,
• Machine learning and Deep Learning,
• Bioinformatics,
• Information Retrieval

Editor Board

• Editor-in-Chief: World Scientific Annual Review of Artificial Intelligence
• Associate Editor: IEEE Transactions on Artificial Intelligence
• Associate Editor: Knowledge and Information Systems
• Associate Editor: Machine Learning with Applications (Elsevier)

• Conference Chairs, Program Committee Chairs, Workshop/Session Chairs
  • Area Chair of The Thirteenth International Conference on Learning Representations (ICLR 2025) .
  • Area Chair of 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025) .
  • Area Chair of Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2024) .
  • Area Chair of The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) .
  • Area Chair of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2024) .
  • Area Chair of Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023) .
  • Local organizing Co-Chair of The IEEE Conference on Artificial Intelligence (CAI 2024) .
  • Conference General Chair of The 6th IEEE International Conference on Multimedia Information Processing and Retrieval (IEEE-MIPR 2023).
  • Area Chair of 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023) .
  • Area Chair of The International Conference on Learning Representations (ICLR 2023) .
  • Area Chair of The IEEE International Conference on Data Mining (ICDM 2022) .
  • Conference General Chair of The 3rd International Conference on Artificial Intelligence and Computer Engineering, 2022.
  • Conference Co-Chair of The 5th Asia Conference on Machine Learning and Computing, 2022.
  • Workshop Co-Chair of 1st international sustainable ai workshop, held in conjunction with with IEEE ICDM, 2022.
  • Session Chair on Medicine of The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2021) .
  • Area Chair of The 30th International Joint Conference on Artificial Intelligence (IJCAI-21).
  • Area Chair of The IEEE International Conference on Data Mining (ICDM 2019) .
  • Area Chair of The IEEE International Conference on Data Mining (ICDM 2018) .
  • Data Challenge Chair of Conference on Information and Knowledge Management (CIKM 2017).
  • Workshop Co-Chair of ACL 2015 Workshop on Novel Computational Approaches to Keyphrase Extraction (Keyphrase 2015).
  • Program Vice-Chair of The IEEE International Conference on Cloud and Big Data (CBD 2015).
  • Industry and Sponsor Co-Chair of The 2015 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2015) .
  • Session Chair on Intelligent Human-Web Interaction of The 2015 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2015) .
  • Industry and Sponsor Co-Chair of The 2015 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2015).
  • Workshop Co-Chair of The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2015).
  • Application Session Chair of The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2015).
  • Demo Co-Chair of Asia-Pacific Web Conference (APWeb 2015).
  • Session Chair on Classification of The 14th IEEE International Conference on Data Mining (ICDM 2014) .
  • PC Chair of 5th International Conference on Computational Systems-Biology and Bioinformatics (CSBio2014).
  • Session Chair on Biomedical Data Mining of The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014).
  • Session Chair on Translational Medicine of The 24th International Conference on Genome Informatics (GIW 2013) .
  • Session Chair on Sequences and Mobility of The 12th IEEE International Conference on Data Mining (ICDM 2012) .
  • Workshop Chair of Biological Data Mining and its Applications in Healthcare (ICDM 2012) .
  • Session Chair of Supervised and Semi-supervised Learning of of The 4th Asian Conference on Machine Learning (ACML 2012) .
  • Workshop Chair of Biological Data Mining and its Applications in Healthcare (ICDM 2011) .
  • Session Chairs of Social Networks (1 and 2) and Natural Language Processing (3) of The Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2011) .
  • Session Chair on Graph and Network Mining of The 10th IEEE International Conference on Data Mining (ICDM 2010) .
  • Workshop Chair of Biological Data Mining and its Applications in Healthcare (ICDM 2010) .
  • Local Organising Chair of The The 2nd International Conference on Biomedical and Pharmaceutical Engineering (ICBPE 2010).
  • Session Chair on Text Mining/Unlabeled Data of The 18th European Conference on Machine Learning (ECML2007) and the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD2007) .

• Program Committee Memberships
  • Senior Program Committee Member of 31st International Joint Conference on Artificial Intelligence (IJCAI 2023) .
  • Senior Program Committee Member of Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023) .
  • Senior Program Committee Member of 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022) .
  • Senior Program Committee Member of The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2021) .
  • Program Committee Member of The 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2019) .
  • Senior Program Committee Member of The 33nd AAAI Conference on Artificial Intelligence (AAAI 2019) .
  • Senior Program Committee Member of The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018) .
  • Program Committee Member of The 23th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2018) .
  • Program Committee Member of The 15th AAAI Conference on Artificial Intelligence (AAAI 2018) .
  • Program Committee Member of The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018 ) .
  • Program Committee Member of The 56th annual meeting of the Association for Computational Linguistics (ACL 2018) .
  • Program Committee Member of The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies(NAACL-HLT 2018) .
  • Program Committee Member of The 22th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2017) .
  • Program Committee Member of The 14th AAAI Conference on Artificial Intelligence (AAAI 2017) .
  • Program Committee Member of The 55th annual meeting of the Association for Computational Linguistics (ACL 2017) .
  • Program Committee Member of The ACM Fifteenth Conference on Information and Knowledge Management (CIKM 2017) .
  • Program Committee Member of The 22th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2016) .
  • Program Committee Member of The 25th International Joint Conference on Artificial Intelligence (IJCAI2016) .
  • Program Committee Member of The 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies(NAACL-HLT 2016) .
  • Program Committee Member of The Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016) .
  • Program Committee Member of The 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2016) .
  • Program Committee Member of 21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2015) .
  • Program Committee Member of 2015 IEEE International Conference on Data Mining (ICDM2015) .
  • Program Committee Member of The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2015) .
  • Program Committee Member of GIW/InCoB2015 .
  • Program Committee Member of IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2015) .
  • Program Committee Member of International Conference for Smart Health (ICSH 2015) .
  • Program Committee Member of 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2014) .
  • Program Committee Member of The 23th International World Wide Web Conference (WWW2014) .
  • Program Committee Member of The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014) .
  • Program Committee Member of The 2009 IEEE International Conference on Granular Computing (IEEE GrC 2014) .
  • Program Committee Member of 12th International Conference on Bioinformatics (InCoB2014) .
  • Program Committee Member of the ACM International Conference On Bioinformatics and Computational Biology (BCB 2014) .
  • Program Committee Member of IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2014) .
  • Program Committee Member of The 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2013).
  • Program Committee Member of The 22th International World Wide Web Conference (WWW2013) .
  • Program Committee Member of The IEEE International Conference on Data Mining series (ICDM 2013) .
  • Program Committee Member of The 13th SIAM International Conference on Data Mining (SDM 2013) .
  • Program Committee Member of The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013) .
  • Program Committee Member of The 14th International Conference on Web-Age Information Management (WAIM2013) .
  • Program Committee Member of The 2013 International Conference on Big Data (BigData2013) .
  • Program Committee Member of 12th International Conference on Bioinformatics (InCoB2013) .
  • Program Committee Member of IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2013) .
  • Program Committee Member of the International Conference on Knowledge Discovery and Information Retrieval (KDIR 2013) .
  • Program Committee Member of the Tenth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2013) and Eighth IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2013) .
  • Program Committee Member of The International Conference on Bioinformatics Models, Methods and Algorithms (BIOINFORMATICS 2013).
  • Program Committee Member of The Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2012) .
  • Program Committee Member of The IEEE International Conference on Data Mining series (ICDM 2012) .
  • Program Committee Member of The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2012) .
  • Program Committee Member of The 4th Asian Conference on Machine Learning (ACML 2012) .
  • Program Committee Member of the ACM International Conference On Bioinformatics and Computational Biology (BCB 2012) .
  • Program Committee Member of The 2012 IEEE International Conference on Granular Computing (GrC 2012) .
  • Program Committee Member of IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2012) .
  • Program Committee Member of The International Conference on Bioinformatics (InCoB 2012) .
  • Program Committee Member of The 5th International Conference on BioMedical Engineering and Informatics (BMEI 2012) .
  • Program Committee Member of The 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD 2012) .
  • Program Committee Member of International Symposium on Network Enabled Health Informatics, Biomedicine and Bioinformatics (HI-BI-BI 2012).
  • Program Committee Member of The 3rd International Conference on Innovations in Bio-Inspired Computing and Applications(IBICA 2012).
  • Program Committee Member of The 15th IEEE International Conference on Computational Science and Engineering (CSE 2012).
  • Program Committee Member of Complex Networks 2012 Workshop on Complex Networks and their Applications.
  • Program Committee Member of The Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2011) .
  • Program Committee Member of The IEEE International Conference on Data Mining series (ICDM 2011) .
  • Program Committee Member of The 3rd Asian Conference on Machine Learning (ACML2011) .
  • Program Committee Member of the ACM International Conference On Bioinformatics and Computational Biology (BCB 2011) .
  • Program Committee Member of IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2011) .
  • Program Committee Member of IEEE International Conference on Granular Computing (GrC 2011) .
  • Program Committee Member of The IEEE International Conference on Data Mining series (ICDM 2010) .
  • Program Committee Member of The 2nd Asian Conference on Machine Learning (ACML2010).
  • Program Committee Member of the ACM International Conference On Bioinformatics and Computational Biology (BCB 2010) .
  • Program Committee Member of IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2010) .
  • Program Committee Member of IEEE International Conference on Granular Computing (GrC 2010) .
  • Program Committee Member of International Conference on Bio-Science and Bio-Technology (BSBT 2010) .
  • Program Committee Member of IEEE - Prognostics & System Health Management Conference 2010 (PHM-2010).
  • Program Committee Member of The International Conference on Bioinformatics (BIOINFORMATICS 2010) .
  • Program Committee Member of The IEEE International Conference on Data Mining series (ICDM 2009) .
  • Program Committee Member of The 1st Asian Conference on Machine Learning (ACML 2009) .
  • Program Committee Member of The IEEE International Conference on Bioinformatics & Biomedicine (BIBM 2009) .
  • Program Committee Member of The 2009 IEEE International Conference on Granular Computing (IEEE GrC 2009) .
  • Program Committee Member of The 5th International Conference on Advanced Data Mining and Applications (ADMA2009) .
  • Program Committee Member of The International Conference on Machine Learning and Cybernetics (ICMLC2009) .
  • Program Committee Member of The International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing (IJCBS 2009) .
  • Program Committee Member of The 2009 International Conference on Bio-Science and Bio-Technology (BSBT 2009) .
  • Program Committee Member of The Complex Networks in Information & Knowledge Management (CNIKM 2009) .
  • Program Committee Member of The Fourtheenth ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2008) .
  • Program Committee Member of IEEE International Conference on Bioinformatics and BioEngineering (BIBE2008).
  • Program Committee Member of IEEE International Conference on Bioinformatics and Biomedicine Philadelphia (BIBM2008).
  • Program Committee Member of The IEEE International Conference on Machine Learning and Cybernetics (ICMLC2008) .
  • Program Committee Member of The 2008 International Conference on Bioinformatics & Computational Biology (BIOCOMP 2008) .
  • Program Committee Member of The 2008 International Conference on Artificial Intelligence (ICAI 2008) .
  • Program Committee Member of The International Conference on Bio-Science and Bio-Technology (BSBT 2008) .
  • Program Committee Member of 1st International Workshop on Optimal Data Mining in Gene Expression Analysis (ODGEA’2008)
  • Program Committee Member of The Seventh SIAM International Conference on Data Mining (SDM 2007) .
  • Program Committee Member of The 2007 IEEE International Conference on BioInformatics and BioMedicine (BIBM 2007) .
  • Program Committee Member of The 2007 International Conference on Artificial Intelligence (ICAI'07) .
  • Program Committee Member of The 2007 International Conference on Bioinformatics and Computational Biology (BIOCOMP'07).
  • Program Committee Member of The IEEE International Conference on Machine Learning and Cybernetics (ICMLC2007) .
  • Program Committee Member for Poster of The 18th International Conference on Genome Informatics (GIW 2007).
  • Program Committee Member of The ACM Fifteenth Conference on Information and Knowledge Management (CIKM 2006) .
  • Program Committee Member of The 2006 International Conference on Bioinformatics and Computational Biology (BIOCOMP'06).
  • Program Committee Member of The Second International Conference on Advanced Data Mining and Applications (ADMA'06) .
  • Program Committee Member of The HLT/EMNLP 2005 Interactive Demonstrations Proceedings.

• Recent Research Grants
  • PI of Self-Aware Continuous Learning Models, AISG, 2022 - 2025
  • Co-PI of Industrial Internet-of-Things, IAF PP, 2018-2021
  • Co-PI of Integrated Photonics Based Gas Sensor, IAF PP, 2018-2021
  • PI of An on-line process monitoring scheme to improve accuracy of the tube boiler inspection process, EMA/Sembcorp, 2016 - 2018

• Journal Paper Reviewing
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • IEEE Transactions on Systems, Man, and Cybernetics
  • IEEE Transactions on Cybernetics
  • ACM Transactions on Knowledge Discovery in Data
  • SIGKDD Explorations
  • Bioinformatics Journal
  • BMC Journal of Bioinformatics
  • International Journal of Data Mining and Bioinformatics (IJDMB)
  • Knowledge and Information Systems (KAIS)
  • Computational Intelligence
  • Pattern Recognition

Professional Memberships

• Senior Member, Institute of Electrical and Electronics Engineers (IEEE). xlli@ieee.org
• Member, Association for Computing Machinery (ACM). Email: xiaolili@acm.org
• Member, ACM Special Interest Group on Knowledge Discovery in Data and Data Mining (SIGKDD).

Research Projects and Systems

• Advanced Deep Learning
• Advancd data analytics
• Tranfer learning and domain adaptation
• Imbalanced learning
• Representation learning
• Network analysis
• Biomedical analytics
• Deep learning and it applications on heathcare
• Deep learning and it applications on Advanced Manufacturing
• Learning from Positive and Unlabeled Examples (Published papers in ICML-02, IJCAI-03, ICDM-03, AAAI-04, ECML-05, IJCAI-07, ECML-07), Download our system
• LPU system - LPU
• Spy-EM (S-EM) system - S-EM

Awards

• Paper An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG has been selected as the 2023 IEEE Engineering in Medicine and Biology Prize Paper Award of The IEEE Engineering in Medicine & Biology Society, 2023.
• Paper Multi-task Self-Supervised Adaptation for Reinforcement Learning has been selected as the BEST PAPER AWARD of The 18th IEEE Conference on Industrial Electronics and Applications (ICIEA 2022).
• Paper HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems has been selected as the BEST PAPER AWARD Runner-Up of The 13th ACM International WSDM Conference (WSDM 2020)
• Paper Adversarial Transfer Learning for Machine Remaining Useful Life Prediction has been selected as the Finalist Academic Paper Award of The IEEE International Conference on Prognostics and Health Management (ICPHM 2020)
• Paper Drug-target interaction prediction via class imbalance-aware ensemble learning has been selected as the BEST PAPER AWARD of the International Conference on Bioinformatics 2016
• Paper "Network Motif Discovery: A GPU Approach was invited to the TKDE special issue on the Best Papers of ICDE of The 31st IEEE International Conference on Data Engineering 2015
• Paper ECODE: Event-Based Community Detection from Social Networks has been selected as the Best Paper Runner-Up Award of the 16th International Conference on Database Systems for Advanced Applications (DASFAA 2011), Hong Kong
• Champions of Opportunity Activity Recognition Challenge (Conducted by EU Consortium), Task B1: Automatic Activity Data Segmentation and Task B2: Multimodal activity recognition: Gestures, 2011.
• Poster Mining for domain dependency sets from protein interactions has been selected as the Best POSTER of the 12th Annual International Conference Research in Computational Molecular Biology (RECOMB 2008), Singapore.
• Research A Probabilistic Graph-theoretic Approach to Integrate Multiple Predictions has been selected as Best Performance Award of the Protein-Protein Subnetwork Challenge, the 2nd Dialogue for Reverse Engineering Assessments and Methods (DREAM 2007), USA
• Paper Interaction Graph Mining for Protein Complexes Using Local Clique Merging has been selected as the Best PAPER of the 16th International Conference on Genome Informatics (GIW 2005), Japan