Lei Cheng
Recent NEWs
May. 2021 | We have one paper accepted to ACL-IJCNLP 2021 (CCF-A, top machine learning conference in Natural Language Processing), with the title ‘‘Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation’’. Congratulations to my co-authors at Beihang University.
Mar. 2021 | Together with Yihong, Xiaohan and Qingjiang, we have one paper accepted in IEEE TCCN, with the title ‘‘SSRCNN: A Semi-Supervised Learning Framework For Signal Recognition’’.
Jan. 2021 | Congratulations to Kai and Ying, the PhD students of Prof. Tom Luo, for their first paper acceptance in ICASSP 2021 (CCF-B), with the title “Pushing The Limit of Type I Codebook For FDD Massive MIMO Beamforming: A Channel Covariance Reconstruction Approach” (available online at arXiv).
Jan. 2021 | Together with Qingjiang, we got one paper accepted in IEEE JSTSP - Special Issue on Tensor Decomposition for Signal Processing and Machine Learning, with the title "Towards Overfitting Avoidance: Tuning-free Tensor-aided Multi-user Channel Estimation for 3D Massive MIMO Communications’’ (available online at arXiv).
About Me
I received my B.Eng degree from Zhejiang University in 2013, and the PhD degree from The University of Hong Kong in 2018. From 2017 to 2018, I was with Alibaba group as an Algorithm Engineer, making contributions to the data-driven resource allocation for Alibaba's largest smart warehouse. Since Nov. 2018, I joined Shenzhen Research Institute of Big Data as a Research Associate, directed by Prof. Zhi-Quan (Tom) Luo and Prof. Shuguang Cui.
My research interests include:
Tensor Data Analytics and Applications
Bayesian Modeling and Inference
Machine Learning for Information System
Find out more in my Publications and Research Grants.
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