Qing Wang, Ph.D., IEEE Member, Google Scholar
Senior Data Scientist, Postdoctoral Researcher, IBM Silicon Valley Lab, IBM T.J. Watson Research Center
Contact information
Address: IBM Silicon Valley Lab,
C250, 555 Bailey Ave, San Jose, CA 95141, USA
Phone:
(914)945-1751 Email: Qing(dot)Wang1(at)ibm(dot)com
Qing Wang earned her Ph.D. in 2018 from School of Computing and Information Sciences at Florida International University under the supervision of Eminent Scholar Chaired Professor [Tao Li], Distinguished University Professor, Ryder Professor & Director S. S. Iyengar and Associate Director & Eminent Scholar Chaired Professor Shu-Ching Chen. Prior to her doctoral studies, she obtained her Master and Bachelor degree in Computer Science from Xidian University in 2013 and Zhengzhou University in 2009. She was the recipient of 2018 FIU SCIS Overall Outstanding Graduate Student. She also received the Best Student Paper Award in 2017 from IEEE SCC. She joined IBM Research as a postdoctoral researcher in 2019 and continued her research on cognitive IT service management. She was awarded IBM Outstanding Technical Achievement Award, IBM Research Accomplishment Award in 2021 for her great contribution to IBM Waston AIOps Launch . Qing's research focuses on large-scale data mining, interactive recommender system [irs_slides], bandit models [slides] and automatic IT service management. Her dissertation is "Intelligent Data Mining Techniques for Automatic Service Management". [slides]
More details can be found in her CV and Google Scholar.
Mar. 16th, 2024, we presented our work "GRACE: Generating Cause and Effect of Disaster Sub-Events from Social Media Text" at WWW2024! [Speaker] 🎉
Dec. 1st, 2023, I've delivered a presentation with demo about "Retrieval-augmented Generation" on Q&A of 2022 FIFA World Cup. [slides]
Jul. 11th, 2023, IBM watsonx GA'd today. AIOps is an IBM AI Product using wastonx's foundation models [IT Automation]!
Jun. 28th, 2023, our patent "Anomaly Detection Using Event Sequence Prediction" using both generative AI and reinforcement learning has been filed! 🎉
Jun. 2th, 2023, I've given a talk about "Generative AI". [slides]
Mar. 13th, 2023, I've become a member of IBM Patent Review Committees of AI-Reinforcement Learning Track, (IBM IDT).
Dec. 12th, 2022, our paper "Clustering of Bandit with Frequence-Dependent Information Sharing" has been accepted by The 45th European Conference on Information Retrieval (ECIR-23) , Dublin, Ireland. 🎉
Oct. 3rd, 2022, our paper "Fault Injection based Interventional Causal Learning for Distributed Applications" has been accepted by The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23) , Washington, DC, USA. 🎉
Sep. 22nd, 2022, Electrolux uses AIOps to enhance automation, IBM News.