Time Series Forecasting Based on Complex Network Analysis. - Shengzhong Mao; Fuyuan Xiao 001 (IEEE Access, 2019)

Alternatives selection for produced water management: A network-based methodology. - Shengzhong Mao; Yong Deng 001; Danilo Pelusi (Eng. Appl. Artif. Intell., 2020)

A hybrid DEMATEL-FRACTAL method of handling dependent evidences. - Shengzhong Mao; Yuzhen Han; Yong Deng 001; Danilo Pelusi (Eng. Appl. Artif. Intell., 2020)

Construction Cost Index Prediction: A Visibility Graph Network Method. - Shengzhong Mao; Ching-Hsun Tseng; Jiayu Shang; Yuping Wu 001; Xiao-Jun Zeng (IJCNN, 2021)

UPANets: Learning from the Universal Pixel Attention Networks. - Ching-Hsun Tseng; Shin-Jye Lee; Jia-Nan Feng; Shengzhong Mao; Yuping Wu 001; Jiayu Shang; Mou-Chung Tseng; Xiao-Jun Zeng (CoRR, 2021)

UPANets: Learning from the Universal Pixel Attention Neworks. - Ching-Hsun Tseng; Shin-Jye Lee; Jia-Nan Feng; Shengzhong Mao; Yuping Wu 001; Jiayu Shang; Xiao-Jun Zeng (Entropy, 2022)

Learning Visibility Attention Graph Representation for Time Series Forecasting. - Shengzhong Mao; Xiao-Jun Zeng (CIKM, 2023)

EDU-level Extractive Summarization with Varying Summary Lengths. - Yuping Wu 001; Ching-Hsun Tseng; Jiayu Shang; Shengzhong Mao; Goran Nenadic; Xiao-Jun Zeng (EACL (Findings), 2023)

SimVGNets: Similarity-Based Visibility Graph Networks for Carbon Price Forecasting. - Shengzhong Mao; Xiao-Jun Zeng (Expert Syst. Appl., 2023)

Time Series Analysis for Education: Methods, Applications, and Future Directions. - Shengzhong Mao; Chaoli Zhang 001; Yichi Song; Jindong Wang 001; Xiao-Jun Zeng; Zenglin Xu; Qingsong Wen (CoRR, 2024)