Shengzhong Zhang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Imbalanced Datasets

Labeling Process

Top Venues

Publications

Wenjie Yang, Shengzhong Zhang, Zengfeng Huang
Enhancing Performance of Coarsened Graphs with Gradient-Matching. ICASSP (2024)
Wenjie Yang, Shengzhong Zhang, Jiaxing Guo, Zengfeng Huang
Your Graph Recommender is Provably a Single-view Graph Contrastive Learning. CoRR (2024)
Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang
StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning. ICLR (2024)
Liang Yan, Shengzhong Zhang, Bisheng Li, Min Zhou, Zengfeng Huang
UNREAL: Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification. CoRR (2023)
Ziang Zhou, Jieming Shi, Shengzhong Zhang, Zengfeng Huang, Qing Li
Effective stabilized self-training on few-labeled graph data. Inf. Sci. 631 (2023)
Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition. CoRR (2023)
Shengzhong Zhang, Wenjie Yang, Yimin Zhang, Hongwei Zhang, Divin Yan, Zengfeng Huang
Understanding Community Bias Amplification in Graph Representation Learning. CoRR (2023)
Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition. NeurIPS (2023)
Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang
StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning. CoRR (2023)
Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. SIGIR (2022)
Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. CoRR (2022)
Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou
Scaling Up Graph Neural Networks Via Graph Coarsening. KDD (2021)
Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou
Scaling Up Graph Neural Networks Via Graph Coarsening. CoRR (2021)
Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou
SCE: Scalable Network Embedding from Sparsest Cut. CoRR (2020)
Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou
SCE: Scalable Network Embedding from Sparsest Cut. KDD (2020)
Shengzhong Zhang, Yingmin Yu, Jidong Li, Qihong Zhu
A Risk-Averse Newsvendor Model Under the Framework of Uncertainty Theory. IEEE Access 7 (2019)