A Study on Chinese Quantitative Stylistic Features and Relation Among Different Styles Based on Text Clustering. - Renkui Hou; Jiang Yang; Minghu Jiang (J. Quant. Linguistics, 2014)

An Improved Algorithm of Materialized View Selection within the Confinement of Space. - Dengfeng Yao; Abudoukelimu Abulizi; Renkui Hou (BDCloud, 2015)

Analysis on Chinese quantitative stylistic features based on text mining. - Renkui Hou; Minghu Jiang (Digit. Scholarsh. Humanit., 2016)

Mandarin Relata: A Dataset of Word Relations and Their Semantic Types. - Hongchao Liu; Chu-Ren Huang; Renkui Hou (CLSW, 2017)

Metaphors in Chinese Accompanying Gesture Modality and Cognition. - Dengfeng Yao; Minghu Jiang; Abudoukelimu Abulizi; Renkui Hou; Lifei Shu (CLSW, 2017)

Stylometric Studies based on Tone and Word Length Motifs. - Renkui Hou; Chu-Ren Huang (PACLIC, 2017)

A Study on Correlation between Chinese Sentence and Constituting Clauses Based on the Menzerath-Altmann Law. - Renkui Hou; Chu-Ren Huang; Hue San Do; Hongchao Liu (J. Quant. Linguistics, 2017)

Distance between Chinese Registers Based on the Menzerath-Altmann Law and Regression Analysis. - Renkui Hou; Chu-Ren Huang; Mi Zhou; Menghan Jiang (Glottometrics, 2019)

Language change in Report on the Work of the Government by Premiers of the People's Republic of China. - Renkui Hou; Chu-Ren Huang; Kathleen Ahrens (PACLIC, 2020)

Linguistic characteristics of Chinese register based on the Menzerath - Altmann law and text clustering. - Renkui Hou; Chu-Ren Huang; Kathleen Ahrens; Sophia Yat Mei Lee (Digit. Scholarsh. Humanit., 2020)

Robust stylometric analysis and author attribution based on tones and rimes. - Renkui Hou; Chu-Ren Huang (Nat. Lang. Eng., 2020)

Classification of regional and genre varieties of Chinese: A correspondence analysis approach based on comparable balanced corpora. - Renkui Hou; Chu-Ren Huang (Nat. Lang. Eng., 2020)

Language change in Chinese political discourse based on the relationship between sentence and clause. - Renkui Hou; Chu-Ren Huang; Kathleen Ahrens (PACLIC, 2021)