Dr. Wu is also an accomplished author and academic contributor with one book and over 100 top-ranked conference and journal papers credited to his name. His research has been recognized on multiple occasions, including receiving the Best Paper Award and Best Student Paper Award at several prominent conferences like IEEE ICC’19, AAAI workshop on DLGMA’20, and KDD workshop on DLG’19. Dr. Wu has also received extensive media attention, with his work being covered in various renowned outlets, including NatureNews, YahooNews, AP News, PR Newswire, The Time Weekly, Venturebeat, MIT News, IBM Research News, and SIAM News. Furthermore, Dr. Wu has served in a number of organizational roles in key industry events and societies. He was sponsorship co-chairs of KDD'24, KDD'23 and KDD'22, the Industry and Government Program Co-Chairs of IEEE BigData'22 and the Associate Conference Co-Chairs of AAAI'21. He also co-founded multiple workshops on Deep Learning on Graphs tied to prominent conferences. He is the Associate Editor for prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems and ACM Transactions on Knowledge Discovery from Data. He regularly serves as an AC/SPC of the following major AI/ML/DL/DM/NLP conferences including KDD, WSDM, IJCAI, AAAI and EMNLP.