Yongjing Hao

According to our database, Yongjing Hao authored at least 19 papers between 2010 and 2026.

Collaborative distances:

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

2026

How Do Graph Signals Affect Recommendation: Unveiling the Mystery of Low and High-Frequency Graph Signals.

Feng Liu, Hao Cang, Huanhuan Yuan, Jiaqing Fan, Yongjing Hao, Fuzhen Zhuang, Guanfeng Liu, Pengpeng Zhao

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2024

LMACL: Improving Graph Collaborative Filtering with Learnable Model Augmentation Contrastive Learning.

Xinru Liu, Yongjing Hao, Lei Zhao, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao

ACM Trans. Knowl. Discov. Data, August, 2024

Learnable Model Augmentation Contrastive Learning for Sequential Recommendation.

Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou

IEEE Trans. Knowl. Data Eng., 2024

Amplify Graph Learning for Recommendation via Sparsity Completion.

Peng Yuan, Haojie Li, Minying Fang, Xu Yu, Yongjing Hao, Junwei Du

CoRR, 2024

Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering.

Yongjing Hao, Pengpeng Zhao, Jianfeng Qu, Lei Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation.

Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

A General Strategy Graph Collaborative Filtering for Recommendation Unlearning.

Yongjing Hao, Fuzhen Zhuang, Deqing Wang, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Logic Preference Fusion Reasoning on Recommendation.

Xingying Tong, Huanhuan Yuan, Yongjing Hao, Junhua Fang, Guanfeng Liu, Pengpeng Zhao

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Enhancing Spatio-temporal Semantics with Contrastive Learning for Next POI Recommendation.

Xinyu Qian, Yongjing Hao, Xuefeng Xian, Zhiming Cui, Guanfeng Liu, Pengpeng Zhao

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation.

Yongjing Hao, Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Guanfeng Liu, Xiaofang Zhou

IEEE Trans. Knowl. Data Eng., October, 2023

Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation.

Yunyi Li, Yongjing Hao, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou

ACM Trans. Knowl. Discov. Data, July, 2023

Multi-dimensional Graph Neural Network for Sequential Recommendation.

Yongjing Hao, Jun Ma, Pengpeng Zhao, Guanfeng Liu, Xuefeng Xian, Lei Zhao, Victor S. Sheng

Pattern Recognit., July, 2023

2022

Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation.

Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Deqing Wang, Lei Zhao, Yanchi Liu, Victor S. Sheng

CoRR, 2022

Click is Not Equal to Purchase: Multi-task Reinforcement Learning for Multi-behavior Recommendation.

Huiwang Zhang, Pengpeng Zhao, Xuefeng Xian, Victor S. Sheng, Yongjing Hao, Zhiming Cui

Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Self-guided Contrastive Learning for Sequential Recommendation.

Hui Shi, Hanwen Du, Yongjing Hao, Victor S. Sheng, Zhiming Cui, Pengpeng Zhao

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Exploiting Intra and Inter-field Feature Interaction with Self-Attentive Network for CTR Prediction.

Shenghao Zheng, Xuefeng Xian, Yongjing Hao, Victor S. Sheng, Zhiming Cui, Pengpeng Zhao

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Considering Interaction Sequence of Historical Items for Conversational Recommender System.

Xintao Tian, Yongjing Hao, Pengpeng Zhao, Deqing Wang, Yanchi Liu, Victor S. Sheng

Proceedings of the Database Systems for Advanced Applications, 2021

Tell Me Where to Go Next: Improving POI Recommendation via Conversation.

Changheng Li, Yongjing Hao, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng

Proceedings of the Database Systems for Advanced Applications, 2021

2010

Rational Analysis of Brass Paradox Based on Network Reliability.

Yongjing Hao, Hua He, Hongjun Cui, Xiaodan Wu

Proceedings of the International Conference on E-Business and E-Government, 2010