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Junda Ye
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2020 – today
- 2025
- [j3]Mengting Diao, Zhongbao Zhang, Sen Su, Shuai Gao, Huafeng Cao, Junda Ye:
Efficiently Transfer User Profile Across Networks. IEEE Trans. Big Data 11(1): 271-285 (2025) - 2024
- [j2]Li Sun
, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu:
Contrastive sequential interaction network learning on co-evolving Riemannian spaces. Int. J. Mach. Learn. Cybern. 15(4): 1397-1413 (2024) - [c11]Yujie Wang
, Shuo Zhang
, Junda Ye
, Hao Peng
, Li Sun
:
A Mixed-Curvature Graph Diffusion Model. CIKM 2024: 2482-2492 - [c10]Li Sun
, Jingbin Hu
, Suyang Zhou
, Zhenhao Huang
, Junda Ye
, Hao Peng
, Zhengtao Yu
, Philip S. Yu
:
RicciNet: Deep Clustering via A Riemannian Generative Model. WWW 2024: 4071-4082 - [i7]Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu:
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces. CoRR abs/2401.01243 (2024) - [i6]Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu:
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing. CoRR abs/2401.12780 (2024) - 2023
- [j1]Li Sun
, Yang Du
, Shuai Gao
, Junda Ye
, Feiyang Wang
, Fuxin Ren
, Mingchen Liang
, Yue Wang
, Shuhai Wang
:
GroupAligner: A Deep Reinforcement Learning with Domain Adaptation for Social Group Alignment. ACM Trans. Web 17(3): 17:1-17:30 (2023) - [c9]Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu:
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. AAAI 2023: 4633-4642 - [c8]Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu:
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing. ICDM 2023: 558-567 - [c7]Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu:
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces. IJCAI 2023: 2296-2305 - [c6]Junda Ye
, Zhongbao Zhang
, Li Sun
, Yang Yan
, Feiyang Wang
, Fuxin Ren
:
SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds. WWW 2023: 360-371 - [i5]Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu:
Contrastive Graph Clustering in Curvature Spaces. CoRR abs/2305.03555 (2023) - [i4]Junda Ye, Zhongbao Zhang, Li Sun, Yang Yan, Feiyang Wang, Fuxin Ren:
SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds. CoRR abs/2305.03883 (2023) - 2022
- [c5]Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu:
A Self-Supervised Mixed-Curvature Graph Neural Network. AAAI 2022: 4146-4155 - [c4]Li Sun, Junda Ye, Hao Peng, Philip S. Yu:
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning. CIKM 2022: 1827-1836 - [c3]Huizhong Sun, Zhenya Wang, Yuejia Huang, Junda Ye:
Privacy-Preserving Vertical Federated Logistic Regression without Trusted Third-Party Coordinator. ICMLSC 2022: 132-138 - [c2]Yang Yan, Junda Ye, Zhongbao Zhang, Liwen Wang:
AISFG: Abundant Information Slot Filling Generator. NAACL-HLT 2022: 4180-4187 - [c1]Feiyang Wang
, Zhongbao Zhang, Li Sun, Junda Ye, Yang Yan:
DiriE: Knowledge Graph Embedding with Dirichlet Distribution. WWW 2022: 3082-3091 - [i3]Li Sun, Junda Ye, Hao Peng, Philip S. Yu:
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning. CoRR abs/2208.14073 (2022) - [i2]Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu:
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. CoRR abs/2211.17068 (2022) - 2021
- [i1]Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu:
A Self-supervised Mixed-curvature Graph Neural Network. CoRR abs/2112.05393 (2021)
Coauthor Index
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last updated on 2025-01-27 21:44 CET by the dblp team
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