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Cheng Yang is a researcher at Tsinghua Shenzhen International Graduate School, with expertise in energy and electronic materials. He has published 76 articles, including 23 in high-impact journals, and received 9337 citations since 2019.
Cheng Yang is a researcher in social computing and network representation learning. He works at the Data Mining and Machine Learning Group of Beijing University of Posts and Telecommunications.
3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model. J Zeng, G Cheung, M Ng, J Pang, C Yang. IEEE Transactions on Image Processing 29, 3474 - 3489. ,...
Articles 1–20. Beijing University of Posts and Telecommunications - Cited by 11,073 - Network Representation Learning - Graph Neural Network - Network Embedding.
Introduction. Dr. Yang obtained his BS in Nanjing University and obtained PhD in Department of Chemistry, the Hong Kong University of Science and Technology (HKUST) under the supervision of Prof....
Yang Cheng is a nanomaterials expert who studies functional nanostructures under non-equilibrium thermodynamics conditions. He has published over 100 papers, won several awards, and filed more than 50 patents in the fields of energy, electronics, and sensors.
Cheng Yang received the BE and PhD degrees from Tsinghua University, in 2014 and 2019, respectively. He is currently an assistant professor with the Beijing University of Posts and Telecommunications. His research interests include natural language processing and network representation learning.
