Ting Cao
speaker
I am now the Principal Research Manager of Heterogeneous Extreme Computing (HEX) group(opens in new tab) of systems and networking research area of Microsoft Research.
My research interests include deep learning system and algorithm design, Hardware/Software co-design, high-level languages, energy efficient hardware, management of heterogeneous hardware, and big data systems. Currently I am focusing on empowering large language models on client devices and simplifying traditional systems, such as compilers, by large generative models. I received my PhD from Research School of Computer Science, the Australian National University, where I was honored to be supervised by Prof. Steve Blackburn and Prof. Kathryn McKinley
(opens in new tab. My thesis was entitled “Power, Performance, and Upheaval: An Opportunity for Managed Languages”(opens in new tab. After that, I had been working in the State Key Lab of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences. Then, I joined the Compiler and Computing Language Lab in 2012 Labs, Huawei Technologies before joining Microsoft Research.
(opens in new taand Prof. Kathryn McKinley(opens in new taMy thesis was entitled “Power, Performance, and Upheaval: An Opportunity for Managed Languages”(opens in new tab). After that, I had been working in the State Key Lab of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences. Then, I joined the Compiler and Computing Language Lab in 2012 Labs, Huawei Technologies before joining Microsoft Research. My research achievements are published in top-tier computer science conferences, such as MobiCom, PLDI, ISCA, ASPLOS, and MobiSys. I have also served as PC or ERC in conferences including PLDI, MobiSys, OOPSLA, VEE, ISMM, ICPAS, MPLR and ChinaSys. I have got a range of awards, such as 2012 ACM Research highlights, 2012 IEEE Micro Top Picks, 2021 ACM SIGMOBILE Research highlights, Best paper awards in PPoPP’24, MobiSys’21, NAS’14, ICCD’10, and Huawei’s Future star award.
Yasaman Ghasempour
speaker
Assistant Professor of Electrical and Computer Engineering. I received my Ph.D. in Electrical and Computer Engineering from Rice University in 2020. My research interests include the design and experimental analysis of architectures, protocols, and applications for next-generation wireless communication and sensing systems with a focus on millimeter-wave and terahertz networks, Internet of Things, robotic wireless networks, and wireless security. On these topics, my lab’s research spans from theoretical analysis and modeling to hardware implementations and experimental evaluations. I started as an Assistant Professor at Princeton as of Spring 2021. If you are interested in working with me, please follow the Princeton application process and contact me. If you are already at Princeton, please send me an email and we can arrange a time to meet.
Yunhao Liu
speaker
Yunhao Liu (Fellow, IEEE) received the B.S. degree from the Automation Department, Tsinghua University, China, the M.A. degree from Beijing Foreign Studies University, China, and the M.S. and Ph.D. degrees in computer science and engineering from Michigan State University, USA. He is currently a professor with the Automation Department and the Dean of the GIX, Tsinghua University. He is a Fellow of ACM.
Francis Yan
speaker
I am an assistant professor of computer science in the Siebel School of Computing and Data Science at the University of Illinois Urbana-Champaign (UIUC), with an affiliate appointment in Electrical & Computer Engineering. My research builds and optimizes networked systems with practical machine learning (ML), ranging from developing large-scale systems and research platforms that lay the foundation for applying ML, to devising practical ML algorithms with mechanisms that improve their real-world deployability in systems and networks. Intelligent video systems are a major thrust of my work. I am the creator of Puffer, a live TV service with over 400,000 real users, and a video research platform that has aided researchers in publishing top-tier and award-winning papers. Before joining UIUC, I spent a little over four years as a Senior Researcher at Microsoft Research Redmond in Victor Bahl’s group. Prior to that, I received my Ph.D. in computer science from Stanford University, where I was advised by Keith Winsteinand Philip Levis. I did my undergraduate studies at Tsinghua University (Yao Class) and MIT. I am a recipient of the IRTF Applied Networking Research Prize, the USENIX NSDI Community Award, the USENIX NSDI Outstanding Paper Award, the USENIX ATC Best Paper Award, and the APNet Best Paper Award.
Xinyu Zhang
speaker
Zhang is an associate professor of Electrical and Computer Engineering at UC San Diego. Before joining UC San Diego, he was an assistant professor at the University of Wisconsin-Madison from 2012 to 2017. He received his Ph.D. degree in Computer Science and Engineering from the University of Michigan in 2012. He is the recipient of ACM MobiCom Best Paper Award (2011), NSF CAREER award (2014), and Google Research Award (2017).
Lili Qiu
organizer
Dr. Lili Qiu is an Assistant Managing Director of Microsoft Research Asia and is mainly responsible for overseeing the research, as well as the collaboration with industries, universities, and research institutes, at Microsoft Research Asia – Shanghai.
Dr. Lili Qiu obtained her MS and PhD degrees in computer science from Cornell University. Her current research interests include wireless communication, wireless/wearable sensing, machine learning, systems, and healthcare. She worked at Microsoft Research Redmond as a researcher in the System & Networking Group from 2001-2004. In 2005, she joined the University of Texas at Austin as an assistant professor in the Department of Computer Science, and later, in view of her outstanding achievements, she was promoted to a tenured professor.
Dr. Qiu is an IEEE Fellow, an ACM Fellow, a National Academy of Inventors (NAI) Fellow. She also serves as the ACM SIGMOBILE chair. She was named an ACM Distinguished Scientist and was a recipient of the NSF CAREER award, among many other honors.