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2020 – today
- 2024
[j1]Xuntao Hu, Xiancai Meng, Shaoqing Liu
, Lizhen Liang:
An Improved Algorithm for Network Intrusion Detection Based on Deep Residual Networks. IEEE Access 12: 66432-66441 (2024)- [i4]Lizhen Liang, Han Zhuang, James Zou, Daniel E. Acuna:
The complementary contributions of academia and industry to AI research. CoRR abs/2401.10268 (2024) - 2022
- [c6]Daniel E. Acuna, Zijun Yi, Lizhen Liang, Han Zhuang:
Predicting the Usage of Scientific Datasets Based on Article, Author, Institution, and Journal Bibliometrics. iConference (1) 2022: 42-52 - [i3]Daniel E. Acuna, Jian Jian, Tong Zeng, Lizhen Liang, Han Zhuang:
Predicting the longevity of resources shared in scientific publications. CoRR abs/2203.12800 (2022) - 2021
- [c5]Daniel E. Acuna, Lizhen Liang:
Are AI Ethics Conferences Different and More Diverse Compared to Traditional Computer Science Conferences? AIES 2021: 307-315 - [c4]Yisi Sang, Lizhen Liang, Jeffrey M. Stanton:
Content Moderation of Speech in Political Discussions. ASIST 2021: 537-542 - [i2]Qing Ke, Lizhen Liang, Ying Ding, Stephen V. David, Daniel E. Acuna:
A dataset of mentorship in science with semantic and demographic estimations. CoRR abs/2106.06487 (2021) - 2020
- [c3]Lizhen Liang, Daniel E. Acuna:
Don't judge a journal by its cover?: Appearance of a Journal's website as predictor of blacklisted Open-Access status. ASIST 2020 - [c2]Wei Liu, Chundong Hu, Lizhen Liang, Yuanzhe Zhao:
Development of monitoring system of infrared thermometer for neutral beam injector on EAST. CISP-BMEI 2020: 548-551 - [c1]Lizhen Liang, Daniel E. Acuna:
Artificial mental phenomena: psychophysics as a framework to detect perception biases in AI models. FAT* 2020: 403-412
2010 – 2019
- 2019
- [i1]Lizhen Liang, Daniel E. Acuna:
Artificial mental phenomena: Psychophysics as a framework to detect perception biases in AI models. CoRR abs/1912.10818 (2019)
Coauthor Index
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