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2020 – today
- 2024
[j5]Xinru Liu
, Yongjing Hao, Lei Zhao, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao:
LMACL: Improving Graph Collaborative Filtering with Learnable Model Augmentation Contrastive Learning. ACM Trans. Knowl. Discov. Data 18(7): 177 (2024)- [c11]Xingying Tong, Huanhuan Yuan, Yongjing Hao, Junhua Fang, Guanfeng Liu, Pengpeng Zhao:
Logic Preference Fusion Reasoning on Recommendation. APWeb/WAIM (2) 2024: 99-114 - [c10]Xinyu Qian, Yongjing Hao, Xuefeng Xian, Zhiming Cui, Guanfeng Liu, Pengpeng Zhao:
Enhancing Spatio-temporal Semantics with Contrastive Learning for Next POI Recommendation. APWeb/WAIM (2) 2024: 374-389 - [c9]Yongjing Hao, Fuzhen Zhuang, Deqing Wang, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao:
A General Strategy Graph Collaborative Filtering for Recommendation Unlearning. CIKM 2024: 799-808 - [c8]Yongjing Hao, Pengpeng Zhao, Jianfeng Qu, Lei Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering. ICDE 2024: 679-691 - [c7]Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation. ICDE 2024: 705-718 - [i3]Peng Yuan, Haojie Li, Minying Fang, Xu Yu, Yongjing Hao, Junwei Du:
Amplify Graph Learning for Recommendation via Sparsity Completion. CoRR abs/2406.18984 (2024) - 2023
- [j4]Yongjing Hao, Jun Ma, Pengpeng Zhao, Guanfeng Liu, Xuefeng Xian, Lei Zhao, Victor S. Sheng:
Multi-dimensional Graph Neural Network for Sequential Recommendation. Pattern Recognit. 139: 109504 (2023) - [j3]Yunyi Li, Yongjing Hao, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. ACM Trans. Knowl. Discov. Data 17(6): 80:1-80:22 (2023) - [j2]Yongjing Hao, Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Guanfeng Liu, Xiaofang Zhou:
Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 10112-10124 (2023) - [j1]Huiwang Zhang, Pengpeng Zhao, Xuefeng Xian, Victor S. Sheng, Yongjing Hao, Zhiming Cui:
Click is not equal to purchase: multi-task reinforcement learning for multi-behavior recommendation. World Wide Web (WWW) 26(6): 4153-4172 (2023) - [i2]Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation. CoRR abs/2310.13925 (2023) - 2022
- [c6]Hui Shi, Hanwen Du, Yongjing Hao, Victor S. Sheng, Zhiming Cui, Pengpeng Zhao:
Self-guided Contrastive Learning for Sequential Recommendation. APWeb/WAIM (3) 2022: 72-86 - [c5]Huiwang Zhang, Pengpeng Zhao, Xuefeng Xian, Victor S. Sheng, Yongjing Hao, Zhiming Cui:
Click is Not Equal to Purchase: Multi-task Reinforcement Learning for Multi-behavior Recommendation. WISE 2022: 443-459 - [i1]Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Deqing Wang, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation. CoRR abs/2204.10128 (2022) - 2021
- [c4]Xintao Tian, Yongjing Hao, Pengpeng Zhao, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Considering Interaction Sequence of Historical Items for Conversational Recommender System. DASFAA (3) 2021: 115-131 - [c3]Changheng Li, Yongjing Hao, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng:
Tell Me Where to Go Next: Improving POI Recommendation via Conversation. DASFAA (3) 2021: 211-227 - [c2]Shenghao Zheng, Xuefeng Xian, Yongjing Hao, Victor S. Sheng, Zhiming Cui, Pengpeng Zhao:
Exploiting Intra and Inter-field Feature Interaction with Self-Attentive Network for CTR Prediction. WISE (2) 2021: 34-49
2010 – 2019
- 2010
- [c1]Yongjing Hao, Hua He, Hongjun Cui, Xiaodan Wu:
Rational Analysis of Brass Paradox Based on Network Reliability. ICEE 2010: 4272-4275
Coauthor Index
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