Don't judge a journal by its cover?: Appearance of a Journal's website as predictor of blacklisted Open-Access status. - Lizhen Liang; Daniel E. Acuna (ASIST, 2020)

Development of monitoring system of infrared thermometer for neutral beam injector on EAST. - Wei Liu; Chundong Hu; Lizhen Liang; Yuanzhe Zhao (CISP-BMEI, 2020)

Artificial mental phenomena: psychophysics as a framework to detect perception biases in AI models. - Lizhen Liang; Daniel E. Acuna (FAT*, 2020)

Are AI Ethics Conferences Different and More Diverse Compared to Traditional Computer Science Conferences? - Daniel E. Acuna; Lizhen Liang (AIES, 2021)

Content Moderation of Speech in Political Discussions. - Yisi Sang; Lizhen Liang; Jeffrey M. Stanton (ASIST, 2021)

A dataset of mentorship in science with semantic and demographic estimations. - Qing Ke; Lizhen Liang; Ying Ding 001; Stephen V. David; Daniel E. Acuna (CoRR, 2021)

Predicting the Usage of Scientific Datasets Based on Article, Author, Institution, and Journal Bibliometrics. - Daniel E. Acuna; Zijun Yi; Lizhen Liang; Han Zhuang (iConference (1), 2022)

Predicting the longevity of resources shared in scientific publications. - Daniel E. Acuna; Jian Jian; Tong Zeng; Lizhen Liang; Han Zhuang (CoRR, 2022)

An Improved Algorithm for Network Intrusion Detection Based on Deep Residual Networks. - Xuntao Hu; Xiancai Meng; Shaoqing Liu; Lizhen Liang (IEEE Access, 2024)

The complementary contributions of academia and industry to AI research. - Lizhen Liang; Han Zhuang; James Zou; Daniel E. Acuna (CoRR, 2024)

Paraphrase Identification With Deep Learning: A Review of Datasets and Methods. - Chao Zhou; Cheng Qiu; Lizhen Liang; Daniel E. Acuna (IEEE Access, 2025)

Research on visual operation and maintenance platform of accelerator neutron source driven by digital twins. - Shaoqing Liu; Lizhen Liang; Chundong Hu; Yuzhong Qian; Xiancai Meng; Bing Hong; Sheng Yang (Expert Syst. Appl., 2025)