Accurate Prediction of Hot Spots with Greedy Gradient Boosting Decision Tree. - Haomin Gan; Jing Hu 003; Xiaolong Zhang 002; Qianqian Huang; Jiafu Zhao (ICIC (2), 2018)

Efficiently Predicting Hot Spots in PPIs by Combining Random Forest and Synthetic Minority Over-Sampling Technique. - Xiaolong Zhang 002; Xiaoli Lin; Jiafu Zhao; Qianqian Huang; Xin Xu 007 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models. - Qiongqiong Liu; Tianqiao Liu; Jiafu Zhao; Qiang Fang; Wenbiao Ding; Zhongqin Wu; Feng Xia 001; Jiliang Tang; Zitao Liu 001 (AIED (2), 2021)

A Q-Learning-Based Solar Energy Prediction Algorithm with Energy Data Association. - Min Li 005; Huiping Gu; Jiafu Zhao; Heng Wang 003 (ICTC, 2022)

Accurate Monitoring of Submerged Aquatic Vegetation in a Macrophytic Lake Using Time-Series Sentinel-2 Images. - Shuang Liang 013; Zhaoning Gong; Yingcong Wang; Jiafu Zhao; Wenji Zhao (Remote. Sens., 2022)

Energy Collaboration Based on Borrowing and Returning Mechanism with Demand Diffusion. - Min Li; Jiafu Zhao; Xuan Fu (ICTC, 2023)

High-resolution cropland mapping in China's Huang-Huai-Hai Plain: The coupling of machine learning methods and prior information. - Jiafu Zhao; Pengfei Chen (Comput. Electron. Agric., 2024)

ETMixer: An Enhanced Trend Modeling Approach to Multivariate Time Series Forecasting. - Jiafu Zhao; Jing Zhang; Dongmei Niu; Junzheng Yang; Tongzheng Zhu; Mingxiu Zhao (ICIC (19), 2025)

TVCorNet: Time-Variable Correlation Learning Enhancement Network for Multivariate Time Series Forecasting. - Tongzheng Zhu; Dongmei Niu; Jing Zhang; Junzheng Yang; Jiafu Zhao; Shufang Guo (ICIC (7), 2025)