Rational Analysis of Brass Paradox Based on Network Reliability. - Yongjing Hao; Hua He; Hongjun Cui; Xiaodan Wu (ICEE, 2010)

Tell Me Where to Go Next: Improving POI Recommendation via Conversation. - Changheng Li; Yongjing Hao; Pengpeng Zhao 001; Fuzhen Zhuang; Yanchi Liu; Victor S. Sheng (DASFAA (3), 2021)

Considering Interaction Sequence of Historical Items for Conversational Recommender System. - Xintao Tian; Yongjing Hao; Pengpeng Zhao 001; Deqing Wang; Yanchi Liu; Victor S. Sheng (DASFAA (3), 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 001 (WISE (2), 2021)

Self-guided Contrastive Learning for Sequential Recommendation. - Hui Shi; Hanwen Du; Yongjing Hao; Victor S. Sheng; Zhiming Cui; Pengpeng Zhao 001 (APWeb/WAIM (3), 2022)

Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation. - Yongjing Hao; Pengpeng Zhao 001; Xuefeng Xian; Guanfeng Liu 001; Deqing Wang; Lei Zhao 001; Yanchi Liu; Victor S. Sheng (CoRR, 2022)

Multi-dimensional Graph Neural Network for Sequential Recommendation. - Yongjing Hao; Jun Ma; Pengpeng Zhao 001; Guanfeng Liu 001; Xuefeng Xian; Lei Zhao 001; Victor S. Sheng (Pattern Recognit., 2023)

Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. - Yunyi Li; Yongjing Hao; Pengpeng Zhao 001; Guanfeng Liu 001; Yanchi Liu; Victor S. Sheng; Xiaofang Zhou 001 (ACM Trans. Knowl. Discov. Data, 2023)

Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation. - Yongjing Hao; Tingting Zhang; Pengpeng Zhao 001; Yanchi Liu; Victor S. Sheng; Jiajie Xu 001; Guanfeng Liu 001; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 2023)

Click is not equal to purchase: multi-task reinforcement learning for multi-behavior recommendation. - Huiwang Zhang; Pengpeng Zhao 001; Xuefeng Xian; Victor S. Sheng; Yongjing Hao; Zhiming Cui (World Wide Web (WWW), 2023)

Enhancing Spatio-temporal Semantics with Contrastive Learning for Next POI Recommendation. - Xinyu Qian; Yongjing Hao; Xuefeng Xian; Zhiming Cui; Guanfeng Liu 001; Pengpeng Zhao 001 (APWeb/WAIM (2), 2024)

Logic Preference Fusion Reasoning on Recommendation. - Xingying Tong; Huanhuan Yuan; Yongjing Hao; Junhua Fang; Guanfeng Liu 001; Pengpeng Zhao 001 (APWeb/WAIM (2), 2024)

A General Strategy Graph Collaborative Filtering for Recommendation Unlearning. - Yongjing Hao; Fuzhen Zhuang; Deqing Wang; Guanfeng Liu 001; Victor S. Sheng; Pengpeng Zhao 001 (CIKM, 2024)

Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation. - Yongjing Hao; Pengpeng Zhao 001; Junhua Fang; Jianfeng Qu; Guanfeng Liu 001; Fuzhen Zhuang; Victor S. Sheng; Xiaofang Zhou 001 (ICDE, 2024)

Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering. - Yongjing Hao; Pengpeng Zhao 001; Jianfeng Qu; Lei Zhao 001; Guanfeng Liu 001; Fuzhen Zhuang; Victor S. Sheng; Xiaofang Zhou 001 (ICDE, 2024)

Amplify Graph Learning for Recommendation via Sparsity Completion. - Peng Yuan; Haojie Li; Minying Fang; Xu Yu 001; Yongjing Hao; Junwei Du (CoRR, 2024)

Learnable Model Augmentation Contrastive Learning for Sequential Recommendation. - Yongjing Hao; Pengpeng Zhao 001; Xuefeng Xian; Guanfeng Liu 001; Lei Zhao 001; Yanchi Liu; Victor S. Sheng; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 2024)

LMACL: Improving Graph Collaborative Filtering with Learnable Model Augmentation Contrastive Learning. - Xinru Liu; Yongjing Hao; Lei Zhao 001; Guanfeng Liu 001; Victor S. Sheng; Pengpeng Zhao 001 (ACM Trans. Knowl. Discov. Data, 2024)