A Risk-Averse Newsvendor Model Under the Framework of Uncertainty Theory. - Shengzhong Zhang; Yingmin Yu; Jidong Li; Qihong Zhu (IEEE Access, 2019)

SCE: Scalable Network Embedding from Sparsest Cut. - Shengzhong Zhang; Zengfeng Huang; Haicang Zhou; Ziang Zhou (KDD, 2020)

Scaling Up Graph Neural Networks Via Graph Coarsening. - Zengfeng Huang; Shengzhong Zhang; Chong Xi; Tang Liu; Min Zhou 006 (KDD, 2021)

BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. - Bisheng Li; Min Zhou 006; Shengzhong Zhang; Menglin Yang 001; Defu Lian; Zengfeng Huang (SIGIR, 2022)

Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition. - Divin Yan; Gengchen Wei; Chen Yang; Shengzhong Zhang; Zengfeng Huang (NeurIPS, 2023)

UNREAL: Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification. - Liang Yan; Shengzhong Zhang; Bisheng Li; Min Zhou 006; Zengfeng Huang (CoRR, 2023)

Understanding Community Bias Amplification in Graph Representation Learning. - Shengzhong Zhang; Wenjie Yang 006; Yimin Zhang; Hongwei Zhang; Divin Yan; Zengfeng Huang (CoRR, 2023)

Effective stabilized self-training on few-labeled graph data. - Ziang Zhou; Jieming Shi 001; Shengzhong Zhang; Zengfeng Huang; Qing Li 001 (Inf. Sci., 2023)

Enhancing Performance of Coarsened Graphs with Gradient-Matching. - Wenjie Yang; Shengzhong Zhang; Zengfeng Huang (ICASSP, 2024)

StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning. - Shengzhong Zhang; Wenjie Yang 006; Xinyuan Cao; Hongwei Zhang; Zengfeng Huang (ICLR, 2024)

Your Graph Recommender is Provably a Single-view Graph Contrastive Learning. - Wenjie Yang; Shengzhong Zhang; Jiaxing Guo; Zengfeng Huang (CoRR, 2024)

Robust framework to prioritize blockchain-based supply chain challenges: the fuzzy best-worst approach for multiple criteria decision-making. - Muhammad Shoaib; Shengzhong Zhang; Hassan Ali; Muhammad Azeem Akbar; Muhammad Hamza; Waheed ur Rehman (Kybernetes, 2024)

Graph Batch Coarsening framework for scalable graph neural networks. - Shengzhong Zhang; Yimin Zhang; Bisheng Li; Wenjie Yang 006; Min Zhou 006; Zengfeng Huang (Neural Networks, 2025)

Right Is Not Enough: The Pitfalls of Outcome Supervision in Training LLMs for Math Reasoning. - Jiaxing Guo; Wenjie Yang; Shengzhong Zhang; Tongshan Xu; Lun Du; Da Zheng; Zengfeng Huang (CoRR, 2025)