X-LAB@UB: Accelerating AI Systems & Solutions
Dr. Jinjun Xiong is an Empire Innovation Professor with the Department of Computer Science & Engineering, University at Buffalo (UB) . He received his Ph.D. degree in 2006 from University of California, Los Angeles (UCLA) with an Outstanding Ph.D. Award, his M.S. degree from University of Wisconsin, Madison in 2002, and his M.S. and B.S. degrees from Tsinghua University in 2000 and 1998, respectively.
Before joining UB in 2021, Dr. Xiong was Program Director and Senior Research Scientist at IBM T.J. Watson Research Center, Yorktown Heights, NY. He co-founded and co-directed the IBM-Illinois Center for Cognitive Computing Systems Research with Prof. Wen-mei Hwu. Under their leadership, the C3SR center has expanded from the early days' eight faculty members in 2016 to close to 40 faculty members in 2021. The success of the C3SR center also led to the creation of the new IBM-Illinois Discovery Accelerator Institute, a joint $200-million research investment between IBM and UIUC. Dr. Xiong also co-founded the IBM Smarter Energy Research Institute and led a number of enterprise-scale collaborations with world-wide electric utility companies to address sustainability issues with renewable integration.
Dr. Xiong's recent research interests are on across-stack AI systems and solutions research, including:
Innovative AI applications, in particular on education and sustainability,
Novel AI algorithms, in particular on computer vision and natural language processing,
Productivity tooling for AI development, in particular on software engineering, compilers, and operating systems, and
AI accelerators and computer architectures for edge computing and hybrid clouds, such as GPUs, and FPGAs.
He has published more than 150 peer-reviewed papers in top AI conferences and systems conferences. His publication has won seven Best Paper Awards and eight Nominations for Best Paper Awards. Dr. Xiong also won top awards from various international competitions, including the recent Championship Award for the IEEE GraphChallenge on accelerating sparse neural networks, and the Championship Awards for the DAC'19 Systems Design Contest on designing an object detection neural network for both edge FPGA track and the edge GPU track. Many of his research results have been adopted in commercial enterprise-scale products and tools.
[!! New !!] Prof. Xiong's X-Lab@UB has multiple openings for highly motivated Ph.D. students and Postdoctoral Fellows to join him to conduct cutting-edge AI systems and solutions research.
Prof. Xiong is also interested in hosting both international and domestic students who want to do internship at his research lab.
For potential candidates, please check out Prof. Xiong's publication and research, and then send your resume and research statement to him.
For undergraduate and Master students already enrolled in UB, if you're interested in doing research in AI systems and solutions, please setup an appointment with Prof. Xiong via your UB emails.