Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data. - Jackie Ayoub; Zifei Wang; Meitang Li; Huizhong Guo; Rini Sherony; Shan Bao; Feng Zhou 003 (UI, 2022)

Fairness Testing for Recommender Systems. - Huizhong Guo (ISSTA, 2023)

FairRec: Fairness Testing for Deep Recommender Systems. - Huizhong Guo; Jinfeng Li; Jingyi Wang 004; Xiangyu Liu; Dongxia Wang 002; Zehong Hu; Rong Zhang 006; Hui Xue 001 (ISSTA, 2023)

A systematic review of safety-critical scenarios between automated vehicles and vulnerable road users. - Aditya Deshmukh; Zifei Wang; Aaron Gunn; Huizhong Guo; Rini Sherony; Fred Feng; Brian Lin; Shan Bao; Feng Zhou 003 (CoRR, 2023)

A Probabilistic Framework for Estimating the Risk of Pedestrian-Vehicle Conflicts at Intersections. - Pei Li; Huizhong Guo; Shan Bao; Arpan Kusari (IEEE Trans. Intell. Transp. Syst., 2023)

Configurable Fairness for New Item Recommendation Considering Entry Time of Items. - Huizhong Guo; Dongxia Wang 002; Zhu Sun 001; Haonan Zhang; Jinfeng Li; Jie Zhang 002 (SIGIR, 2024)

Enhancing New-item Fairness in Dynamic Recommender Systems. - Huizhong Guo; Zhu Sun 001; Dongxia Wang 002; Tianjun Wei; Jinfeng Li; Jie Zhang 002 (SIGIR, 2025)

LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture. - Yanhui Li; Dongxia Wang 002; Zhu Sun 001; Haonan Zhang; Huizhong Guo (CoRR, 2025)