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Binghui Liu

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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.

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Journal Articles

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2023
[j11]
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Ziyu Shen, Binghui Liu, Qing Zhou, Zheng Liu, Bin Xia, Yun Li:
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting. ACM Trans. Intell. Syst. Technol. 14(2): 24:1-24:20 (2023)
2022
[j10]
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Wenxuan Han, Alifu Kuerban, Yuchun Yang, Zitong Huang, Binghui Liu, Jie Gao:
Multi-Vision Network for Accurate and Real-Time Small Object Detection in Optical Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
2021
[j9]
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Long Feng, Ping Zhao, Yanling Ding, Binghui Liu:
Rank-based tests of cross-sectional dependence in panel data models. Comput. Stat. Data Anal. 153: 107070 (2021)
[j8]
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Quan Yuan, Binghui Liu:
Community detection via an efficient nonconvex optimization approach based on modularity. Comput. Stat. Data Anal. 157: 107163 (2021)
2020
[j7]
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Long Feng, Xiaoxu Zhang, Binghui Liu:
A high-dimensional spatial rank test for two-sample location problems. Comput. Stat. Data Anal. 144: 106889 (2020)
[j6]
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Long Feng, Xiaoxu Zhang, Binghui Liu:
Multivariate tests of independence and their application in correlation analysis between financial markets. J. Multivar. Anal. 179: 104652 (2020)
2017
[j5]
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Long Feng, Binghui Liu:
High-dimensional rank tests for sphericity. J. Multivar. Anal. 155: 217-233 (2017)
2016
[j4]
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Binghui Liu, Xiaotong Shen, Wei Pan:
Nonlinear joint latent variable models and integrative tumor subtype discovery. Stat. Anal. Data Min. 9(2): 106-116 (2016)
2013
[j3]
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Wei Pan, Xiaotong Shen, Binghui Liu:
Cluster analysis: unsupervised learning via supervised learning with a non-convex penalty. J. Mach. Learn. Res. 14(1): 1865-1889 (2013)
[j2]
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Wen-Chin Chen, Kai-Ping Liu, Binghui Liu, Tung-Tsan Lai:
Optimization of optical design for developing an LED lens module. Neural Comput. Appl. 22(3-4): 811-823 (2013)
2010
[j1]
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Binghui Liu, Jianhua Guo, Bing-Yi Jing:
A note on minimal d-separation trees for structural learning. Artif. Intell. 174(5-6): 442-448 (2010)

Conference and Workshop Papers

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2022
[c3]
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Binghui Liu, Aili Yang, Lei Jin, Panfeng Gao, Tuanyu Guo, Haiyan Fu:
Study on the Performance of Modified Sludge Biochar Loaded with Microbial Agents. ICBET 2022: 1-4
2019
[c2]
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Ziyu Shen, Xusheng Zhang, Binghui Liu, Bin Xia, Zheng Liu, Yun Li, Saiqin Long:
PCP-2LSTM: Two Stacked LSTM-Based Prediction Model for Power Consumption in Data Centers. CBD 2019: 13-18
[c1]
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  - conf/scisec/LiuHH019
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Binghui Liu, Keji Han, Jie Hang, Yun Li:
Adversarial Training Based Feature Selection. SciSec 2019: 92-105

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