Weiliang Will Zeng, Ph.D.
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Weiliang Will Zeng is with Qualcomm AI Research, San Diego, CA, where he is now a Sr Staff System Engineer. He received his Ph.D. degree from Department of Electronic Engineering, Tsinghua University, Beijing, China, in 2012 and his B.S. degree in electronic engineering from the University of Electronic Sciences and Technology of China (UESTC), Chengdu, China, in 2007, both with the highest honor. He was a Research Scholar (2009-2011) and a Post-Doctoral Fellow (2013-2014) at Missouri University of Science and Technology (formerly University of Missouri, Rolla, MO). His research interests include machine learning, optimization, wireless communications, information theory, signal processing, as well as for emerging technologies.
He was the recipient of QualStar(s) from Qualcomm Incorporated, the scholarship award for Excellent Doctoral Student from Ministry of Education of China, Distinguished Honor Graduate from Beijing Municipal Commission of Education, and also the First-Class Scholarship for graduate students from Tsinghua University. He is a frequent author and reviewer for IEEE journals/conferences, TPC Co-chair for IEEE Globecom’17, and TPC members for various IEEE flagship conferences.
At Qualcomm, Dr. Zeng works on aggressive research programs to enable the intelligent edge that serves billions of users using an unprecedented multidisciplinary approach coordinating novel technology developed in machine learning, information theory, signal processing, and wireless communications.
Research Interest
Machine learning
Modeling, analysis, design, and optimization
Wireless communications, information theory, and signal processing
Professional Appointments
Sr Staff System Engineer, Qualcomm AI Research (since Dec. 2014), San Diego, CA, US
AI Research: contribute to enabling the intelligent edge that serves billions of users
Design state-of-the-art artificial intelligence algorithms to make the intelligent edge become smaller, run faster, consume less power, and be able to learn continuously in the real world
5G+AI: contribute to the establishment of the first ML for wireless project in Qualcomm
Enabling AI to improve the performance of the world's most advanced wireless systems
Cutting-edge research and development that influences the design and architecture for wireless technology
Invented 5G+AI algorithm commercialized in Qualcomm product defining the next-generation
AI-enabled air interface
LTE/5G and beyond: contribute to the global leading position of wireless research and development in Qualcomm
Diverse experience in cutting-edge research, innovative algorithms, link-level study, fixed-point design, standards, patent contributions, and prototypingproductcommercialization
One of the key system contributors to Qualcomm’s CoMP Spectrum Sharing technology, showcased at MWC’18 and MWC’19 and highlighted as one of the technologies for unlocking the full potential of 5G
Post Doctoral Fellow, Dept. of Electrical and Computer Engineering (Feb. 2013 to Dec. 2014), Missouri University of Science and Technology, Rolla, MO, US
Adviser: Prof. Chengshan Xiao
Research Topic: Transceiver design for multiple antennas, MIMO-OFDM, 4G LTE, cognitive radio, and energy harvesting networks
Research Scholar, Dept. of Electrical and Computer Engineering (Aug. 2009 to Aug. 2011), Missouri University of Science and Technology, Rolla, MO, US
Adviser: Prof. Chengshan Xiao
Research Topic: Adaptive transmission for practical systems with finite-alphabet inputs; capacity analysis; precoding for MIMO systems; practical design for MIMO-OFDM systems
Achievement: Invented algorithms provide significant performance gain for practical MIMO systems and are successfully implemented for technical field trials.
Education
Ph.D., Dept. of Electronic Engineering (Sep. 2007 to Dec. 2012), Tsinghua University, Beijing, China
Adviser: Prof. Jianhua Lu
Graduated with the highest honor; GPA: 88/100
Thesis: Precoded Modulation for Wideband Wireless Communications
Achievement: Published 6 IEEE Journal papers and 10 IEEE Conference papers; held 4 patents.
B.S., Electronic Engineering (Sep. 2003 to Jul. 2007), University of Electronic Science and Technology of China, Chengdu, China
Graduated with the highest honor; GPA: 3.8/4.0
Ranking: top 0.2%; granted admission to Tsinghua University for Ph.D. study without national standardized test
Thesis: Algorithm design, performance analysis, and hardware implementation for phase lock loop systems