CBBCM: Clustering Based Automatic Service Composition. - Ying Ma; Liang Chen 001; Jian Hui; Jian Wu 001 (IEEE SCC, 2011)

QoS-Based Distributed Service Selection in Large-Scale Web Services. - Limin Pan; Liang Chen 001; Jian Hui; Jian Wu 001 (IEEE SCC, 2011)

Super-Low Frequency electromagnetic noise processing system based on adaptive filtering. - Shanshan Zhao; Nan Wang 006; Li Chen 008; Jian Hui; Chengye Zhang 001; Qiming Qin (IGARSS, 2015)

Building-Based Damage Detection From Postquake Image Using Multiple-Feature Analysis. - Xin Ye 001; Mingchao Liu; Jun Wang 042; Qiming Qin; Huazhong Ren; Jianhua Wang; Jian Hui (IEEE Geosci. Remote. Sens. Lett., 2017)

Effective Building Extraction From High-Resolution Remote Sensing Images With Multitask Driven Deep Neural Network. - Jian Hui; Mengkun Du; Xin Ye 001; Qiming Qin; Juan Sui (IEEE Geosci. Remote. Sens. Lett., 2019)

Soil Moisture Estimation With SVR and Data Augmentation Based on Alpha Approximation Method. - Wei Xu 026; Zhaoxu Zhang; Qiming Qin; Jian Hui; Zehao Long (IEEE Trans. Geosci. Remote. Sens., 2020)

Simultaneous Estimation of Land Surface and Atmospheric Parameters From Thermal Hyperspectral Data Using a LSTM-CNN Combined Deep Neural Network. - Xin Ye 001; Huazhong Ren; Jing Nie 003; Jian Hui; Chenchen Jiang; Jinshun Zhu; Wenjie Fan 001; Yonggang Qian; Yanzhen Liang (IEEE Geosci. Remote. Sens. Lett., 2022)

A Modified Transfer-Learning-Based Approach for Retrieving Land Surface Temperature From Landsat-8 TIRS Data. - Xin Ye 001; Jian Hui; Pengxin Wang; Jian Zhu; Bin Yang 008 (IEEE Trans. Geosci. Remote. Sens., 2023)

Landsat LST Product Gap Filling Using the Multiple Features Ensemble Learning Model Caused by the Missing Emissivity Dataset. - Jian Hui; Chen Qing; Ling Luo; Yanhong Duan; Xin Ye 001 (IEEE Geosci. Remote. Sens. Lett., 2025)

DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules. - Hongwei Du; Jiamin Wang; Jian Hui; Lanting Zhang; Hong Wang (CoRR, 2025)

Universal Machine Learning Interatomic Potentials are Ready for Solid Ion Conductors. - Hongwei Du; Jian Hui; Lanting Zhang; Hong Wang (CoRR, 2025)