Autonomous Vehicle Panel 2018-05-07T13:45:13+00:00


Panel: Creating Autonomous Vehicle Systems

Autonomous driving is not a single technology but rather a complex system integration many technologies. In this special session, titled “Creating Autonomous Vehicle Systems,” four presentations, two from the industry, two from academia, will focus on different areas of autonomous driving. First, we will have Jialin Jiao from Uber Technologies Inc present the latest progress on machine learning assisted high-definition map generate technology. Second, Dr. Liyun Li from JD Silicon Valley Research Center will present the state-of-the-art practical approaches on autonomous vehicle planning and control. After these two industry talks, Dr. Songwen Pei (University of Shanghai for Science and Technology) will discuss his latest research results on deep learning based localized traffic sign recognition technology. To conclude, although autonomous driving education is an extremely important topic but little study has been done in this area, Dr. Jie Tang (South China University of Technology) will introduce an international collaboration project on autonomous driving education.

Invited Speakers

Jean-Luc Gaudiot, 2017 IEEE Computer Society President

Professor Jean-Luc Gaudiot received the Diplôme d’Ingénieur from the École Supérieure d’Ingénieurs en Electronique et Electrotechnique, Paris, France in 1976 and the M.S. and Ph.D. degrees in Computer Science from the University of California, Los Angeles in 1977 and 1982, respectively. He is currently a Professor in the Electrical Engineering and Computer Science Department at the University of California, Irvine. His research interests include multithreaded architectures, fault-tolerant multiprocessors, and implementation of reconfigurable architectures. He has published over 200 journal and conference papers. He is now the 2017 IEEE Computer Society President. Dr. Gaudiot is a member of AAAS, ACM, and IEEE.

Shaoshan Liu, PerceptIn

Dr. Shaoshan Liu is chairman of PerceptIn, a company focusing on providing hardware/software solutions for robotics and autonomous driving, since its founding in March 2016, PerceptIn has attracted over 12 million USD of funding. Before founding PerceptIn, he was a founding member of Baidu’s autonomous driving unit, where he led the autonomous driving systems team. Currently Dr. Liu serves as the vice president of the IEEE Computer Society Special Technical Community on autonomous driving technologies. Shaoshan Liu received Ph.D. in Computer Engineering from University of California, Irvine. For more information, please check

Jialin Jiao, Uber

Jialin Jiao, an experienced software engineer, specializes in in the fields of Location-Based Service (LBS), HD maps, big data, machine learning, artificial intelligence and search. He had worked in Microsoft search engine Bing, IBM TJ Watson Research. He is currently working in Uber US headquarters. He holds a bachelor’s degree in computer science from Sun Yat-Sen University, a master’s degree in computer science from Shanghai Jiao Tong University, and a master’s degree in electronic engineering from the University of Michigan – Dearborn.

Liyun Li, JD Logistics, USA

Dr. Liyun Li is currently leading JD logistics autonomous driving team in Silicon Valley. Before joining JD, he was a founding member of Baidu’s Autonomous Driving team at Baidu’s Silicon Valley research center, where he led the smart behavioral decision, motion planning and vehicle control team. He obtained his Ph.D. in Computer Science from New York University, with a research focus on applied machine learning.

Songwen Pei, University of Shanghai for Science & Technology, China

Dr. Pei is currently an Associate Professor with the University of Shanghai for Science and Technology, Shanghai, China, and a Research Fellow with Fudan University. He is a senior member of CCF, a member of ACM and IEEE, and he is a Board Member of CCF-TCCET and CCF-TCARCH. His current research interests include heterogeneous multicore system, deep learning, cloud computing, and big data.

Jie Tang, South China University of Technology, China

Dr. Jie Tang is currently an associate professor in School of Computer Science and Engineering of South China University of Technology, and secretary of IEEE Computer Society Special Technical Communities on Autonomous Driving Technologies. Before joining SCUT, Dr. Tang was a post-doctoral researcher at the University of California Riverside and Clarkson University during Dec. 2013 to Aug. 2015. She received my B.E. From University of Defense Technology in 2006, and Ph.D. degree from the Beijing Institute of Technology in 2012, both in Computer Science. From 2009 to 2011, She was a visiting researcher at the Embedded Systems Center at University of California, Irvine, USA.