Xuhao Zhao

According to our database, Xuhao Zhao authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

Social Relation-Level Privacy Risks and Preservation in Social Recommender Systems.

Xuhao Zhao, Zhongrui Zhang, Yanmin Zhu, Zhaobo Wang, Wenze Ma, Jiadi Yu, Feilong Tang

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

Generating Difficulty-aware Negative Samples via Conditional Diffusion for Multi-modal Recommendation.

Wenze Ma, Chenyu Sun, Yanmin Zhu, Zhaobo Wang, Xuhao Zhao, Mengyuan Jing, Jiadi Yu, Feilong Tang

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

Towards Effective and Consistent Information Extraction for Social Recommendation: A Minimum and Sufficiency Perspective.

Wenze Ma, Yuexian Wang, Chenyu Sun, Yanmin Zhu, Zhaobo Wang, Xuhao Zhao, Jiadi Yu, Feilong Tang

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation.

Chenhao Zhai, Chang Meng, Yu Yang, Kexin Zhang, Xuhao Zhao, Xiu Li

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

Graph Diffusion-Based Representation Learning for Sequential Recommendation.

Zhaobo Wang, Yanmin Zhu, Chunyang Wang, Xuhao Zhao, Bo Li, Jiadi Yu, Feilong Tang

IEEE Trans. Knowl. Data Eng., December, 2024

MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation.

Wenze Ma, Yuexian Wang, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing, Xuhao Zhao, Jiadi Yu, Feilong Tang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards.

Zhaorun Chen, Zhuokai Zhao, Tairan He, Binhao Chen, Xuhao Zhao, Liang Gong, Chengliang Liu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Simulation and Experimental Research of Thermal Power Plant Pipeline Displacement via Deep Learning Algorithms.

Minglu Dai, Yanchen Jian, Qi Liu, Ben Gao, Xuhao Zhao, Jianyong Zhang, Bin Zhou

IEEE Trans. Instrum. Meas., 2023

Task-Difficulty-Aware Meta-Learning with Adaptive Update Strategies for User Cold-Start Recommendation.

Xuhao Zhao, Yanmin Zhu, Chunyang Wang, Mengyuan Jing, Jiadi Yu, Feilong Tang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

A Time-of-Flight Estimation Method for Acoustic Ranging and Thermometry Based on Digital Lock-In Filtering.

Qi Liu, Bin Zhou, Jianyong Zhang, Ruixue Cheng, Xuhao Zhao, Rong Zhao, Minglu Dai, Bubin Wang, Yihong Wang

Sensors, 2022