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2020 – today
- 2024
- [j8]Wei Ju
, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo
, Xiting Yan, Ming Zhang:
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. Inf. Fusion 107: 102341 (2024) - [j7]Wei Ju
, Zhengyang Mao, Ziyue Qiao
, Yifang Qin
, Siyu Yi, Zhiping Xiao, Xiao Luo, Yanjie Fu
, Ming Zhang
:
Focus on informative graphs! Semi-supervised active learning for graph-level classification. Pattern Recognit. 153: 110567 (2024) - [j6]Xiao Luo
, Wei Ju
, Yiyang Gu
, Yifang Qin
, Siyu Yi
, Daqing Wu
, Luchen Liu
, Ming Zhang
:
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 82:1-82:19 (2024) - [c2]Wei Ju
, Siyu Yi
, Ming Zhang
:
Evidential Self-Supervised Graph Representation Learning via Prototype-based Consistency. ACM TUR-C 2024 - [i7]Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang:
A Survey of Data-Efficient Graph Learning. CoRR abs/2402.00447 (2024) - [i6]Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo
, Xiting Yan, Ming Zhang:
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. CoRR abs/2403.01091 (2024) - [i5]Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo
, Philip S. Yu, Ming Zhang:
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. CoRR abs/2403.04468 (2024) - [i4]Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang:
Hypergraph-enhanced Dual Semi-supervised Graph Classification. CoRR abs/2405.04773 (2024) - [i3]Wei Ju, Yifan Wang, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Junyu Luo, Junwei Yang, Yiyang Gu, Dongjie Wang, Qingqing Long, Siyu Yi, Xiao Luo, Ming Zhang:
Towards Graph Contrastive Learning: A Survey and Beyond. CoRR abs/2405.11868 (2024) - 2023
- [j5]Siyu Yi, Ze Liu, Min-Qian Liu
, Yong-Dao Zhou:
Global Likelihood Sampler for Multimodal Distributions. J. Comput. Graph. Stat. 32(3): 927-937 (2023) - [j4]Yingpei Zeng, Fengming Zhu, Siyi Zhang, Yu Yang, Siyu Yi, Yufan Pan, Guojie Xie, Ting Wu:
DAFuzz: data-aware fuzzing of in-memory data stores. PeerJ Comput. Sci. 9: e1592 (2023) - [j3]Siyu Yi, Yong-Dao Zhou:
Model-free global likelihood subsampling for massive data. Stat. Comput. 33(1): 9 (2023) - [j2]Siyu Yi
, Zhengyang Mao
, Wei Ju
, Yong-Dao Zhou
, Luchen Liu
, Xiao Luo
, Ming Zhang
:
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. IEEE Trans. Big Data 9(6): 1683-1696 (2023) - [j1]Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang:
Zero-shot Node Classification with Graph Contrastive Embedding Network. Trans. Mach. Learn. Res. 2023 (2023) - [i2]Siyu Yi, Zhengyang Mao, Wei Ju, Yongdao Zhou, Luchen Liu, Xiao Luo
, Ming Zhang:
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. CoRR abs/2308.16609 (2023) - [i1]Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo
, Luchen Liu, Yong-Dao Zhou, Ming Zhang:
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering. CoRR abs/2309.04694 (2023)
2010 – 2019
- 2019
- [c1]Hongyu Liu, Qingyun Dai, Ya Li, Chuxin Zhang, Siyu Yi, Tao Yuan:
The Design Patent Images Classification Based on Image Caption Model. BICS 2019: 353-362
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last updated on 2024-08-05 21:15 CEST by the dblp team
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