Huizhong Guo

According to our database, Huizhong Guo authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Assessing the Effectiveness of Driver Training Interventions in Improving Safe Engagement with Vehicle Automation Systems.

Chengxin Zhang, Huizhong Guo, Zifei Wang, Fred Feng, Anuj Pradhan, Shan Bao

CoRR, September, 2025

Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation.

Tianjun Wei, Huizhong Guo, Yingpeng Du, Zhu Sun, Chen Huang, Dongxia Wang, Jie Zhang

CoRR, August, 2025

LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture.

Yanhui Li, Dongxia Wang, Zhu Sun, Haonan Zhang, Huizhong Guo

CoRR, June, 2025

Enhancing New-item Fairness in Dynamic Recommender Systems.

Huizhong Guo, Zhu Sun, Dongxia Wang, Tianjun Wei, Jinfeng Li, Jie Zhang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024

Configurable Fairness for New Item Recommendation Considering Entry Time of Items.

Huizhong Guo, Dongxia Wang, Zhu Sun, Haonan Zhang, Jinfeng Li, Jie Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

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., December, 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

CoRR, 2023

FairRec: Fairness Testing for Deep Recommender Systems.

Huizhong Guo, Jinfeng Li, Jingyi Wang, Xiangyu Liu, Dongxia Wang, Zehong Hu, Rong Zhang, Hui Xue

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Fairness Testing for Recommender Systems.

Huizhong Guo

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2022

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

Proceedings of the AutomotiveUI '22: 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Seoul, Republic of Korea, September 17, 2022