Zhihao Wang

11 papers A* 4Journal 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing Intent Understanding and Preference Learning for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Zhihao Wang, Bingqian Liu, Jian Wang, Bing Li
2026 A* conf
Federated Context-Aware Personalized Recommendation.
AAAI
Zhihao Wang, Xiaoying Liao, Wenke Huang, Bingqian Liu, Tian Chen, Jian Wang, Bing Li
2026 J jnl
TVDiag: A Task-oriented and View-invariant Failure Diagnosis Framework for Microservice-based Systems with Multimodal Data.
ACM Trans. Softw. Eng. Methodol.
Shuaiyu Xie, Jian Wang, Hanbin He, Zhihao Wang, Yuqi Zhao, Neng Zhang, Bing Li
2025 A* conf
An Empirical Study of Federated Prompt Learning for Vision Language Model.
IJCAI
Zhihao Wang, Wenke Huang, Tian Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye
2025 J jnl
An Empirical Study of Federated Prompt Learning for Vision Language Model.
CoRR
Zhihao Wang, Wenke Huang, Tian-Long Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye
2025 A* conf
Federated Recommendation with Explicitly Encoding Item Bias.
AAAI
Zhihao Wang, He Bai, Wenke Huang, Duantengchuan Li, Jian Wang, Bing Li
2025 A* conf
Pixel-wise Divide and Conquer for Federated Vessel Segmentation.
IJCAI
Tian Chen, Wenke Huang, Zhihao Wang, Zekun Shi, He Li, Wenhui Dong, Mang Ye, Bo Du, Yongchao Xu
2025 J jnl
Recommender system based on noise enhancement and multi-view graph contrastive learning.
Appl. Soft Comput.
Duantengchuan Li, Jiayao Lu, Zhihao Wang, Jingxiong Wang, Xiaoguang Wang, Fobo Shi, Yu Liu
2024 J jnl
Homogeneous graph neural networks for third-party library recommendation.
Inf. Process. Manag.
Duantengchuan Li, Yuxuan Gao, Zhihao Wang, Hua Qiu, Pan Liu, Zhuoran Xiong, Zilong Zhang
2024 J jnl
Integrating user short-term intentions and long-term preferences in heterogeneous hypergraph networks for sequential recommendation.
Inf. Process. Manag.
Bingqian Liu, Duantengchuan Li, Jian Wang, Zhihao Wang, Bing Li, Cheng Zeng
2024 J jnl
TVDiag: A Task-oriented and View-invariant Failure Diagnosis Framework with Multimodal Data.
CoRR
Shuaiyu Xie, Jian Wang, Hanbin He, Zhihao Wang, Yuqi Zhao, Neng Zhang, Bing Li