His main research interests and experiences are in various areas of data mining and database systems, such as, deep learning, stream computing, high performance computing, extremely skewed distribution, cost-sensitive learning, risk analysis, ensemble methods, easy-to-use nonparametric methods, graph mining, predictive feature discovery, feature selection, sample selection bias, transfer learning, time series analysis, bioinformatics, social network analysis, novel applications and commercial data mining systems. His co-authored paper received ICDM'2006 Best Application Paper Award, he led the team that used his Random Decision Tree (www.dice.com) method to win 2008 ICDM Data Mining Cup Championship. He received 2010 IBM Outstanding Technical Achievement Award for his contribution to IBM Infosphere Streams. He is the associate editor of ACM Transaction on Knowledge Discovery and Data Mining (TKDD). During his times as the Associate Director in Huawei Noah's Ark Lab in Hong Kong from August 2012 to December 2014, he has led his colleagues to develop Huawei StreamSMART – a streaming platform for online and real-time processing, query and mining of very fast streaming data. StreamSMART is 3 to 5 times faster than STORM and 10 times faster than SparkStreaming, and was used in Beijing Telecom, Saudi Arabia STC, Norway Telenor and a few other mobile carriers in Asia.