Huizhong Guo

According to our database, Huizhong Guo authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

Through Their Eyes: Fixation-aligned Tuning for Personalized User Emulation.

Lingfeng Huang, Huizhong Guo, Tianjun Wei, Yingpeng Du, Zhu Sun

CoRR, April, 2026

FashionStylist: An Expert Knowledge-enhanced Multimodal Dataset for Fashion Understanding.

Kaidong Feng, Zhuoxuan Huang, Huizhong Guo, Yuting Jin, Xinyu Chen, Yue Liang, Yifei Gai, Li Zhou, Yunshan Ma, Zhu Sun

CoRR, April, 2026

Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking.

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

CoRR, January, 2026

MMGRid: Navigating Temporal-aware and Cross-domain Generative Recommendation via Model Merging.

Tianjun Wei, Enneng Yang, Yingpeng Du, Huizhong Guo, Jie Zhang, Zhu Sun

CoRR, January, 2026

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

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

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

When Harmful Content Gets Camouflaged: Unveiling Perception Failure of LVLMs with CamHarmTI.

Yanhui Li, Qi Zhou, Zhihong Xu, Huizhong Guo, Wenhai Wang, Dongxia Wang

CoRR, December, 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

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

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

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 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

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