Lecheng Zheng

Dr. Lecheng Zheng received his Ph.D. in Computer Science from the University of Illinois Urbana-Champaign. He specializes in machine learning and data mining with applications in cybersecurity, finance, climate, sustainability, and related domains. His recent research interests include multi-modal fusion, multi-task and multi-label learning, anomaly detection, model trustworthiness, and missing information imputation. His work primarily focuses on enhancing the trustworthiness and efficiency of machine learning algorithms across various modalities and disciplines, with the ultimate goal of making ML models more accessible and inclusive. He has published extensively in top-tier venues in AI such as AAAI, KDD, TheWebConf, CIKM, and SDM. In addition, he has served on the program committees of major conferences including ICML, NeurIPS, ICLR, KDD, TheWebConf, IJCAI, and AAAI. He is also a recipient of the Presidential Postdoctoral Fellowship.