An Annulus Local Search Based Localization (ALSL) Algorithm in Indoor Wi-Fi Environments. - Hao Zhang 065; Kai Liu 001; Feiyu Jin; Chao Chen 004; Chen Zhan; Jianjun Li; Liang Feng 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

A data-driven method to detect adverse drug events from prescription data. - Chen Zhan; Elizabeth Roughead; Lin Liu 003; Nicole Pratt; Jiuyong Li (J. Biomed. Informatics, 2018)

Detecting potential signals of adverse drug events from prescription data. - Chen Zhan; Elizabeth Roughead; Lin Liu 003; Nicole Pratt; Jiuyong Li (Artif. Intell. Medicine, 2020)

Detecting high-quality signals of adverse drug-drug interactions from spontaneous reporting data. - Chen Zhan; Elizabeth Roughead; Lin Liu 003; Nicole Pratt; Jiuyong Li (J. Biomed. Informatics, 2020)

Assessing the Causal Impact of Online Instruction due to COVID-19 on Students' Grades and its aftermath on Grade Prediction Models. - Oscar Blessed Deho; Lin Liu 003; Srecko Joksimovic; Jiuyong Li; Chen Zhan; Jixue Liu (GoodIT, 2022)

How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics? - Oscar Blessed Deho; Chen Zhan; Jiuyong Li; Jixue Liu; Lin Liu 003; Thuc Duy Le (Br. J. Educ. Technol., 2022)

Technological frameworks on ethical and trustworthy learning analytics. - Djazia Ladjal; Srecko Joksimovic; Thierry Rakotoarivelo; Chen Zhan (Br. J. Educ. Technol., 2022)

Assessing the Fairness of Course Success Prediction Models in the Face of (Un)equal Demographic Group Distribution. - Oscar Blessed Deho; Srecko Joksimovic; Lin Liu 003; Jiuyong Li; Chen Zhan; Jixue Liu (L@S, 2023)

Should Learning Analytics Models Include Sensitive Attributes? Explaining the Why. - Oscar Blessed Deho; Srecko Joksimovic; Jiuyong Li; Chen Zhan; Jixue Liu; Lin Liu 003 (IEEE Trans. Learn. Technol., 2023)

When the Past != The Future: Assessing the Impact of Dataset Drift on the Fairness of Learning Analytics Models. - Oscar Blessed Deho; Lin Liu 003; Jiuyong Li; Jixue Liu; Chen Zhan; Srecko Joksimovic (IEEE Trans. Learn. Technol., 2024)

Preserving Both Privacy and Utility in Learning Analytics. - Chen Zhan; Srecko Joksimovic; Djazia Ladjal; Thierry Rakotoarivelo; Ruth Marshall; Abelardo Pardo (IEEE Trans. Learn. Technol., 2024)

FPGA-Based Processing-In-Memory with Optimized Multi-BRAM Reduction for Improved Latency-Cost Trade-Off. - Lu Yang; Shengyu Duan; Chen Zhan; Xiaoli Zhi (ICIC (10), 2025)