Forecasting tourist arrivals with machine learning and internet search index. - Shaolong Sun; Shouyang Wang; Yunjie Wei; Xianduan Yang; Kwok-Leung Tsui (IEEE BigData, 2017)

AdaBoost-LSTM Ensemble Learning for Financial Time Series Forecasting. - Shaolong Sun; Yunjie Wei; Shouyang Wang (ICCS (3), 2018)

Neural gaussian mixture model for review-based rating prediction. - Dong Deng 002; Liping Jing; Jian Yu 001; Shaolong Sun; Haofei Zhou (RecSys, 2018)

Sparse Self-Attention LSTM for Sentiment Lexicon Construction. - Dong Deng 002; Liping Jing; Jian Yu 001; Shaolong Sun (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Sentiment Lexicon Construction With Hierarchical Supervision Topic Model. - Dong Deng 002; Liping Jing; Jian Yu 001; Shaolong Sun; Michael K. Ng 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

A new ensemble deep learning approach for exchange rates forecasting and trading. - Shaolong Sun; Shouyang Wang; Yunjie Wei (Adv. Eng. Informatics, 2020)

A new secondary decomposition-ensemble approach with cuckoo search optimization for air cargo forecasting. - Hongtao Li; Juncheng Bai; Xiang Cui; Yongwu Li; Shaolong Sun (Appl. Soft Comput., 2020)

AdaEnsemble Learning Approach for Metro Passenger Flow Forecasting. - Shaolong Sun; Dongchuan Yang; Gengzhong Feng; Ju'e Guo (CoRR, 2020)

Tourism Demand Forecasting with Tourist Attention: An Ensemble Deep Learning Approach. - Shaolong Sun; Yanzhao Li; Shouyang Wang; Ju'e Guo (CoRR, 2020)

Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach. - Shaolong Sun; Dan Bi; Ju'e Guo; Shouyang Wang (CoRR, 2020)

A new hybrid approach for crude oil price forecasting: Evidence from multi-scale data. - Yifan Yang; Ju'e Guo; Shaolong Sun; Yixin Li (CoRR, 2020)

New Research Trends in Unconventional Oil and Gas Environmental Issue: A Bibliometric Analysis. - Dan Bi; Ju'e Guo; Shouyang Wang; Shaolong Sun (CoRR, 2020)

Knowledge Mapping in Electricity Demand Forecasting: A Scientometric Insight. - Dongchuan Yang; Ju'e Guo; Jie Li; Shouyang Wang; Shaolong Sun (CoRR, 2020)

A Novel Hybrid Framework for Hourly PM2.5 Concentration Forecasting Using CEEMDAN and Deep Temporal Convolutional Neural Network. - Fuxin Jiang; Chengyuan Zhang 003; Shaolong Sun; Jingyun Sun (CoRR, 2020)

A Clustering-Based Nonlinear Ensemble Approach for Exchange Rates Forecasting. - Shaolong Sun; Shouyang Wang; Yunjie Wei; Guowei Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method. - Fuxin Jiang; Chengyuan Zhang 003; Shaolong Sun; Jingyun Sun (Appl. Soft Comput., 2021)

Using word embedding for environmental violation analysis: Evidence from Pennsylvania unconventional oil and gas compliance reports. - Dan Bi; Ju'e Guo; Erlong Zhao; Shaolong Sun; Shouyang Wang (CoRR, 2021)

Forecasting crude oil price with a new hybrid approach and multi-source data. - Yifan Yang; Ju'e Guo; Shaolong Sun; Yixin Li (Eng. Appl. Artif. Intell., 2021)

Analysis and forecasting of crude oil price based on the variable selection-LSTM integrated model. - Quanying Lu; Shaolong Sun; Hongbo Duan; Shouyang Wang (Energy Inform., 2021)

Forecasting influenza epidemics in Hong Kong using Google search queries data: A new integrated approach. - Yunhao Liu 002; Gengzhong Feng; Kwok-Leung Tsui; Shaolong Sun (Expert Syst. Appl., 2021)

A new secondary decomposition ensemble learning approach for carbon price forecasting. - Hongtao Li; Feng Jin; Shaolong Sun; Yongwu Li (Knowl. Based Syst., 2021)

Metro passenger flow forecasting though multi-source time-series fusion: An ensemble deep learning approach. - Hongtao Li; Kun Jin; Shaolong Sun; Xiaoyan Jia; Yongwu Li (Appl. Soft Comput., 2022)

Interval prediction approach to crude oil price based on three-way clustering and decomposition ensemble learning. - Bingzhen Sun; Juncheng Bai; Xiaoli Chu; Shaolong Sun; Yongwu Li; Hongtao Li (Appl. Soft Comput., 2022)

A novel multi-modal analysis model with Baidu Search Index for subway passenger flow forecasting. - Kun Jin; Shaolong Sun; Hongtao Li; Fengting Zhang (Eng. Appl. Artif. Intell., 2022)

Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis. - Yanzhao Li; Ju'e Guo; Shaolong Sun; Jianing Li; Shouyang Wang; Chengyuan Zhang 003 (Environ. Model. Softw., 2022)

Improving multi-step ahead tourism demand forecasting: A strategy-driven approach. - Shaolong Sun; Zongjuan Du; Chengyuan Zhang 003; Shouyang Wang (Expert Syst. Appl., 2022)

Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm. - Shaolong Sun; Mingchen Li; Shouyang Wang; Chengyuan Zhang 003 (Expert Syst. Appl., 2022)

Historical pattern recognition with trajectory similarity for daily tourist arrivals forecasting. - Erlong Zhao; Pei Du; Shaolong Sun (Expert Syst. Appl., 2022)

How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach. - Shaolong Sun; Mengyuan Hu; Shouyang Wang; Chengyuan Zhang 003 (Expert Syst. Appl., 2023)

A multi-step ahead point-interval forecasting system for hourly PM2.5 concentrations based on multivariate decomposition and kernel density estimation. - Hongtao Li; Yang Yu 049; Zhipeng Huang 004; Shaolong Sun; Xiaoyan Jia (Expert Syst. Appl., 2023)

Point and interval forecasting approach for short-term urban subway passenger flow based on residual term decomposition and fuzzy information granulation. - Duo Chen; Hongtao Li; Shaolong Sun; Juncheng Bai; Zhipeng Huang 004 (Appl. Soft Comput., 2024)

Short-term subway passenger flow forecasting approach based on multi-source data fusion. - Yifan Cheng; Hongtao Li; Shaolong Sun; Wenzheng Liu; Xiaoyan Jia; Yang Yu 049 (Inf. Sci., 2024)

Traffic prediction based on spatial-temporal disentangled generative models. - Xinyu Gao; Hongtao Li; Haina Zhang; Jiang Xue 001; Shaolong Sun; Wenzheng Liu (Inf. Sci., 2024)

A Novel Multistep Ahead PM$_{2.5}$ Forecasting Approach Using Spatial-Temporal Attention Network. - Shaolong Sun; Yawei Dong; He Jiang 003; Shouyang Wang (IEEE Trans. Ind. Informatics, 2024)

Dynamic Spatio-Temporal Graph Fusion Network modeling for urban metro ridership prediction. - Wenzheng Liu; Hongtao Li; Haina Zhang; Jiang Xue 001; Shaolong Sun (Inf. Fusion, 2025)

Tourism demand point-interval forecasting using global-local information extraction network. - Wenzheng Liu; Hongtao Li; Haina Zhang; Shaolong Sun; Zhipeng Huang 004; Wuzhi Xie (Inf. Process. Manag., 2025)

How user-generated content influence different types of travelers to select hotels? A perspective with prospect theory. - Erlong Zhao; Shaolong Sun; Chao Fu; Jing Wu; Shouyang Wang (Inf. Process. Manag., 2025)

Spatio-temporal graph hierarchical learning framework for metro passenger flow prediction across stations and lines. - Hongtao Li; Wenjie Fu 011; Haina Zhang; Wenzheng Liu; Shaolong Sun; Tao Zhang (Knowl. Based Syst., 2025)