Scholar
Jinjun Xiong
Google Scholar ID: tRt1xPYAAAAJ
University at Buffalo
Citations & Impact
Citations
7,643
H-index
44
i10-index
125
Publications
20
Co-authors
61
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published over 150 peer-reviewed papers in top AI and systems conferences. His publications have won seven Best Paper Awards and eight Nominations for Best Paper Awards. Dr. Xiong has 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.
Research Experience
- 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, expanding it from 8 faculty members in 2016 to nearly 40 in 2021. The success of the C3SR center 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 worldwide electric utility companies to address sustainability issues with renewable integration.
Education
- Received his Ph.D. degree in 2006 from the University of California, Los Angeles (UCLA) with an Outstanding Ph.D. Award, M.S. degree from the University of Wisconsin, Madison in 2002, and M.S. and B.S. degrees from Tsinghua University in 2000 and 1998, respectively.
Background
- Recent research interests include cross-stack AI systems and solutions, particularly in innovative AI applications for education and sustainability, novel AI algorithms for computer vision and natural language processing, productivity tooling for AI development (such as software engineering, compilers, and operating systems), and AI accelerators and computer architectures for edge computing and hybrid clouds, such as GPUs and FPGAs.
Miscellany
- Prof. Xiong's X-Lab@UB has multiple openings for highly motivated Ph.D. students and Postdoctoral Fellows to conduct cutting-edge AI systems and solutions research. He is also interested in hosting both international and domestic students for internships at his research lab. For undergraduate and Master students already enrolled in UB, if you're interested in doing research in AI systems and solutions, please set up an appointment with Prof. Xiong via your UB emails.
