Cheng, Wei

Learning Deep Network Representations with Adversarially Regularized Autoencoders

Yu, W., Zheng, C., Cheng, W., Aggarwal, C. C., Song, D., Zong, B., Chen, H., & Wang, W. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Advanced Graph Neural NetworksComplex Network Analysis Techniques

Cited by 188

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series

Wu, Y., Ni, J., Cheng, W., Zong, B., Song, D., Chen, Z., Liu, Y., Zhang, X., Chen, H., & Davidson, S. B. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Time Series Analysis and ForecastingTraffic Prediction and Management Techniques

Cited by 57

DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text

Yang, X., Cheng, W., Wu, Y., Petzold, L., Wang, W. Y., & Chen, H. (2023) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 23

High-resolution multicomponent LFM parameter estimation based on deep learning

Yan, B., Li, Y., Cheng, W., Dong, L., & Kou, Q. (2025) · Signal Processing

Radar Systems and Signal ProcessingAdvanced SAR Imaging Techniques

Cited by 12

Optimized Ru catalysts for the selective cleavage of C Ar –OCH 3 bonds in guaiacol under mild conditions

Song, C., Cheng, W., Wu, X., Zhao, S., Tang, Y., Tang, X., Xu, Y., Lin, L., & Yao, S. (2025) · Catalysis Science & Technology

Catalysis for Biomass ConversionCatalysis and Hydrodesulfurization Studies

Cited by 9