Le Liang
Professor In The School Of Information Science And Engineering
Nanjing City, Jiangsu, China
Summary
👤
Senior🎓
Top SchoolLe Liang is a professor of Information Science at Southeast University in Nanjing who specializes in the intersection of wireless communications and machine learning, combining academic leadership with hands-on research. With a PhD from Georgia Tech and over a decade of experience spanning industry roles at Intel Labs and Teradici to academia, he translates cutting-edge ML techniques into practical wireless system innovations. He leads a research group that publishes regularly and shares code on GitHub, making papers reproducible and accelerating community uptake. Recently appointed Associate Dean of the Chien-Shiung Wu Honors College, he balances administrative leadership with active research and mentoring. An underappreciated strength is his track record of moving ideas from prototype code to deployable benchmarks during his industry tenure, bridging theory and practice.
11 years of coding experience
3 years of employment as a software developer
Master's degree Electrical Engineering, Master's degree Electrical Engineering at University of VictoriaDoctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at Georgia Institute of TechnologyBachelor of Engineering - BE Information Engineering, Bachelor of Engineering - BE Information Engineering at Southeast University
Chinese, English
Github Skills (14)
multi-agent-reinforcement-learning9
wireless9
graph6
machine-learning5
pytorch5
simulation5
python-scripts4
python4
tensorflow4
autonomous-driving3
full-stack3
large-language-models3
automation2
multimodal2
Programming languages (2)
Github contributions (5)
le-liang/ResourceAllocationV2Xgraph
Sep 2018 - Jan 2024
Graph-based resource sharing in vehicular communication, IEEE Transactions on Wireless Communications
Contributions:6 pushes in 5 years 4 months
graphwireless
le-liang/MARLspectrumSharingV2X
Sep 2019 - Nov 2020
Spectrum sharing in vehicular networks based on multi-agent reinforcement learning, IEEE Journal on Selected Areas in Communications
Contributions:15 commits, 25 pushes, 18 comments in 1 year 1 month
multi-agent-reinforcement-learning
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