Junda Ye

According to our database, Junda Ye authored at least 15 papers between 2022 and 2025.

Collaborative distances:

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

2025

Efficiently Transfer User Profile Across Networks.

Mengting Diao, Zhongbao Zhang, Sen Su, Shuai Gao, Huafeng Cao, Junda Ye

IEEE Trans. Big Data, February, 2025

2024

Contrastive sequential interaction network learning on co-evolving Riemannian spaces.

Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu

Int. J. Mach. Learn. Cybern., April, 2024

RicciNet: Deep Clustering via A Riemannian Generative Model.

Li Sun, Jingbin Hu, Suyang Zhou, Zhenhao Huang, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu

Proceedings of the ACM on Web Conference 2024, 2024

A Mixed-Curvature Graph Diffusion Model.

Yujie Wang, Shuo Zhang, Junda Ye, Hao Peng, Li Sun

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

2023

GroupAligner: A Deep Reinforcement Learning with Domain Adaptation for Social Group Alignment.

Li Sun, Yang Du, Shuai Gao, Junda Ye, Feiyang Wang, Fuxin Ren, Mingchen Liang, Yue Wang, Shuhai Wang

ACM Trans. Web, August, 2023

Contrastive Graph Clustering in Curvature Spaces.

Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu

CoRR, 2023

SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds.

Junda Ye, Zhongbao Zhang, Li Sun, Yang Yan, Feiyang Wang, Fuxin Ren

Proceedings of the ACM Web Conference 2023, 2023

CONGREGATE: Contrastive Graph Clustering in Curvature Spaces.

Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing.

Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu

Proceedings of the IEEE International Conference on Data Mining, 2023

Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces.

Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DiriE: Knowledge Graph Embedding with Dirichlet Distribution.

Feiyang Wang, Zhongbao Zhang, Li Sun, Junda Ye, Yang Yan

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

AISFG: Abundant Information Slot Filling Generator.

Yang Yan, Junda Ye, Zhongbao Zhang, Liwen Wang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Privacy-Preserving Vertical Federated Logistic Regression without Trusted Third-Party Coordinator.

Huizhong Sun, Zhenya Wang, Yuejia Huang, Junda Ye

Proceedings of the ICMLSC 2022: The 6th International Conference on Machine Learning and Soft Computing, Haikou, China, January 15, 2022

A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning.

Li Sun, Junda Ye, Hao Peng, Philip S. Yu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Self-Supervised Mixed-Curvature Graph Neural Network.

Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022