A note on minimal d-separation trees for structural learning. - Binghui Liu; Jianhua Guo 005; Bing-Yi Jing (Artif. Intell., 2010)

Cluster analysis: unsupervised learning via supervised learning with a non-convex penalty. - Wei Pan; Xiaotong Shen; Binghui Liu (J. Mach. Learn. Res., 2013)

Optimization of optical design for developing an LED lens module. - Wen-Chin Chen; Kai-Ping Liu; Binghui Liu; Tung-Tsan Lai (Neural Comput. Appl., 2013)

Nonlinear joint latent variable models and integrative tumor subtype discovery. - Binghui Liu; Xiaotong Shen; Wei Pan 011 (Stat. Anal. Data Min., 2016)

High-dimensional rank tests for sphericity. - Long Feng; Binghui Liu (J. Multivar. Anal., 2017)

PCP-2LSTM: Two Stacked LSTM-Based Prediction Model for Power Consumption in Data Centers. - Ziyu Shen; Xusheng Zhang; Binghui Liu; Bin Xia 003; Zheng Liu 001; Yun Li 009; Saiqin Long (CBD, 2019)

Adversarial Training Based Feature Selection. - Binghui Liu; Keji Han; Jie Hang; Yun Li 009 (SciSec, 2019)

A high-dimensional spatial rank test for two-sample location problems. - Long Feng; Xiaoxu Zhang; Binghui Liu (Comput. Stat. Data Anal., 2020)

Multivariate tests of independence and their application in correlation analysis between financial markets. - Long Feng; Xiaoxu Zhang; Binghui Liu (J. Multivar. Anal., 2020)

Rank-based tests of cross-sectional dependence in panel data models. - Long Feng; Ping Zhao; Yanling Ding; Binghui Liu (Comput. Stat. Data Anal., 2021)

Community detection via an efficient nonconvex optimization approach based on modularity. - Quan Yuan; Binghui Liu (Comput. Stat. Data Anal., 2021)

Study on the Performance of Modified Sludge Biochar Loaded with Microbial Agents. - Binghui Liu; Aili Yang; Lei Jin 007; Panfeng Gao; Tuanyu Guo; Haiyan Fu (ICBET, 2022)

Multi-Vision Network for Accurate and Real-Time Small Object Detection in Optical Remote Sensing Images. - Wenxuan Han; Alifu Kuerban; Yuchun Yang; Zitong Huang; Binghui Liu; Jie Gao 015 (IEEE Geosci. Remote. Sens. Lett., 2022)

Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting. - Ziyu Shen; Binghui Liu; Qing Zhou; Zheng Liu 001; Bin Xia 003; Yun Li 009 (ACM Trans. Intell. Syst. Technol., 2023)

Understanding asymptotic consistency and its unique advantages in large sample statistical inference. - Jiangzhou Wang; Binghui Liu; Bing-Yi Jing; Jianhua Guo 005 (J. Multivar. Anal., 2025)