Machine learning, neuromorphic computing , and intelligent systems
Information theory for artificial neural networks
Wireless communications and digital signal processing
Machine learning for wireless networks and edge computing
VLSI design and system-on-a-chip architecture
Education
M.S., Electrical Engineering, Virginia Tech, Blacksburg, VA
B.S., Electrical Engineering, Beijing Information Technology Institute, Beijing, China
Research Highlights
Multifunctional Integrated Circuits and Systems group (MICS) – A low-power hybrid neural processing architecture for mobile edge intelligent computing; Unified training and inference algorithms for efficient deep neural networks; Low-power machine learning accelerators for edge computing applications; Neuromorphic computing algorithms and hardware implementation.
Wireless @ Virginia Tech – Information theoretical interpretation of deep neural networks; Machine learning based MIMO detection algorithms and real-time implementation; Software-defined radio (SDR) prototyping platforms for B5G wireless systems.
Research Experiences
Mobile & Portable Radio Research Group (MPRG) – MIMO channel models and space-time transmissions, turbo receivers and iterative decoding techniques, next-generation wireless systems.
Virginia Tech Laboratory for Advanced Networking (VTLAN) – Simulation frameworks for wireless mobile ad hoc networks, mobile ad hoc routing protocols, network information theory.
Work Experiences
Samsung Research America, CA, USA – Created a real-time machine learning platform with software-defined radio support for 6G research and prototyping.
Implifide Research Co., Ltd., Shunde, China – Principal investigator for the neoNPU neural processor project; Managed big data and business analytics projects.
BinCube Technologies Co., Ltd., Ningbo, China – Designed and implemented new multicarrier transmission schemes for broadband powerline networks.
Telegent Systems, Inc., Shanghai, China – Managed the design and tape-out of a hybrid receiver ASIC for analog and digital mobile TVs.
TiMi Technologies Co., Ltd., Beijing, China – Conducted research, proposed drafts, and developed prototypes for the CMMB mobile TV standard; Managed the design and tape-out of multiple ASICs for broadband mobile TVs.
Publications
Y. Liang, L. Li, Y. Yi, and L. Liu, “Real-time Machine Learning for Symbol Detection in MIMO-OFDM Systems”, INFOCOM Virtual Conference, 2-5 May 2022.
Y. Liang, et al., China Mobile Multimedia Broadcasting (CMMB), Part I: Framing structure, channel coding and modulation for broadcasting channel, 2006.
Y. Liang, and S. Midkiff. "Multipath Fresnel Zone Routing for Wireless Ad Hoc Networks." IEEE Wireless Communications and Networking Conference, 2005. Vol. 4. IEEE, 2005.
Awards and Fellowships
Winner of the 2020 Qualcomm Innovation Fellowship, 2020-2021
Pratt Scholarship Award, ECE, Virginia Tech, 2019-2020
Affiliations
Association for Computing Machinery
IEEE Communications Society, IEEE Computer Society
