Optimal sequencing of test conditions in 2k factorial experimental design for run-size minimization. - H.-S. Jacob Tsao; Hongrui Liu (Comput. Ind. Eng., 2008)

Best Seller Rank (BSR) to Sales: An empirical look at Amazon.com. - Amit Sharma; Hongrui Liu; Hongwei Liu (QRS Companion, 2020)

Mathematical models of political districting for more representative governments. - Hongrui Liu; Ayca Erdogan; Royce Lin; H.-S. Jacob Tsao (Comput. Ind. Eng., 2020)

A Creative Computing Approach to Film-story Creation: A Proposed Theoretical Framework. - Hong-Wei Liu; Hongrui Liu; Hongji Yang; En-Ze Yu (Int. J. Autom. Comput., 2020)

Validation of the SNTHERM Model Applied for Snow Depth, Grain Size, and Brightness Temperature Simulation at Meteorological Stations in China. - Tao Chen; Jinmei Pan; Shunli Chang; Chuan Xiong; Jiancheng Shi 001; Mingyu Liu; Tao Che; Lifu Wang; Hongrui Liu (Remote. Sens., 2020)

Application of Value Stream Mapping in Supply Chain: A Case Study on an Amazon Retail. - Yanfang Qin; Hongrui Liu (IEEM, 2021)

Designing a Deceptive Comment Detection Platform with a Rule-based Artificial Intelligent Architecture. - Arman Toplu; Hongrui Liu (IEEM, 2021)

Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration. - Xiao Wang 017; Hongrui Liu; Chuan Shi 001; Cheng Yang 002 (NeurIPS, 2021)

Battery Management System Design for Industrial Manufacture. - Haodong Wang; Songwei Zhang; Tie Qiu 001; Hongrui Liu; Ling He; Zimu Wang (CSCWD, 2022)

Energy Storage Potential Model for Residential Photovoltaic Systems. - Vicente Rios; Yupeng Wei; Hongrui Liu (IEEM, 2022)

Designing Battery Swapping Stations for Electric Scooters with a Streamlined Supply Chain. - Meenakshi Ambabhavan Shanbog; Hongrui Liu (IEEM, 2022)

Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. - Hongrui Liu; Binbin Hu; Xiao Wang 017; Chuan Shi 001; Zhiqiang Zhang 012; Jun Zhou 011 (WWW, 2022)

Convolutional Long-Short Term Memory Network with Multi-Head Attention Mechanism for Traffic Flow Prediction. - Yupeng Wei; Hongrui Liu (Sensors, 2022)

Towards Optimized Hydrological Forecast Prediction of WRF-Hydro on GPU. - Hongrui Liu; Kelun Lei; Hailong Yang 002; Zhongzhi Luan; Depei Qian (HPCC/DSS/SmartCity/DependSys, 2023)

Single Cross-domain Semantic Guidance Network for Multimodal Unsupervised Image Translation. - Jiaying Lan; Lianglun Cheng; Guoheng Huang; Chi-Man Pun; Xiaochen Yuan; Shangyu Lai; Hongrui Liu; Wing-Kuen Ling (MMM (1), 2023)

The IBA-ISMO Method for Rolling Bearing Fault Diagnosis Based on VMD-Sample Entropy. - Deyu Zhuang; Hongrui Liu; Hao Zheng; Liang Xu; Zhengyang Gu; Gang Cheng; Jinbo Qiu (Sensors, 2023)

Quaternion-Valued Correlation Learning for Few-Shot Semantic Segmentation. - Zewen Zheng; Guoheng Huang; Xiaochen Yuan; Chi-Man Pun; Hongrui Liu; Wing-Kuen Ling (IEEE Trans. Circuits Syst. Video Technol., 2023)

Brain Status Transferring Generative Adversarial Network for Decoding Individualized Atrophy in Alzheimer's Disease. - Xingyu Gao; Hongrui Liu; Feng Shi 001; Dinggang Shen; Manhua Liu (IEEE J. Biomed. Health Informatics, 2023)

A Generalized Neural Diffusion Framework on Graphs. - Yibo Li; Xiao Wang 017; Hongrui Liu; Chuan Shi 001 (AAAI, 2024)

Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement. - Yakun Wang 001; Daixin Wang; Hongrui Liu; Binbin Hu; Yingcui Yan; Qiyang Zhang; Zhiqiang Zhang 012 (KDD, 2024)

A sparse transformer generation network for brain imaging genetic association. - Hongrui Liu; Yuanyuan Gui; Hui Lu 004; Manhua Liu (Pattern Recognit., 2024)

Hierarchical global and local transformer for pain estimation with facial expression videos. - Hongrui Liu; Haochen Xu; Jinheng Qiu; Shizhe Wu; Manhua Liu (Pattern Anal. Appl., 2024)

IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification. - Zhixun Li; Dingshuo Chen; Tong Zhao; Daixin Wang; Hongrui Liu; Zhiqiang Zhang 012; Jun Zhou 011; Jeffrey Xu Yu (WWW, 2025)