Shengzhong Zhang

27 papers A* 7Misc 1Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-level graph contrastive learning for community value prediction. Neural Networks Wenjie Yang, Shengzhong Zhang, Zengfeng Huang
2026	A*	`conf`	Know Your Neighbors: Subgraph Importance Sampling for Heterophilic Graph Active Learning. AAAI Wenjie Yang, Shengzhong Zhang, Chen Ye, Jiaxing Guo, Tongshan Xu, Zengfeng Huang
2026	A*	`conf`	Reflect Then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion. AAAI Dong Zhao, Yadong Wang, Xiang Chen, Chenxi Wang, Hongliang Dai, Chuanxing Geng, Shengzhong Zhang, Shaoyuan Li, Sheng-Jun Huang
2025	J	`jnl`	Contra2: A one-step active learning method for imbalanced graphs. Artif. Intell. Wenjie Yang, Shengzhong Zhang, Jiaxing Guo, Zengfeng Huang
2025	J	`jnl`	Graph Batch Coarsening framework for scalable graph neural networks. Neural Networks Shengzhong Zhang, Yimin Zhang, Bisheng Li, Wenjie Yang, Min Zhou, Zengfeng Huang
2025	J	`jnl`	Reflect then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion. CoRR Dong Zhao, Yadong Wang, Xiang Chen, Chenxi Wang, Hongliang Dai, Chuanxing Geng, Shengzhong Zhang, Shaoyuan Li, Sheng-Jun Huang
2025	—	`conf`	Retrieval-Augmented Language Models are Mimetic Theorem Provers. EMNLP (Findings) Wenjie Yang, Ruiyuan Huang, Jiaxing Guo, Zicheng Lyu, Tongshan Xu, Shengzhong Zhang, Lun Du, Da Zheng, Zengfeng Huang
2025	J	`jnl`	Right Is Not Enough: The Pitfalls of Outcome Supervision in Training LLMs for Math Reasoning. CoRR Jiaxing Guo, Wenjie Yang, Shengzhong Zhang, Tongshan Xu, Lun Du, Da Zheng, Zengfeng Huang
2025	J	`jnl`	Understanding Class Bias Amplification in Graph Representation Learning. Trans. Mach. Learn. Res. Shengzhong Zhang, Wenjie Yang, Yimin Zhang, Hongwei Zhang, Zengfeng Huang
2025	—	`conf`	Your Graph Recommenders are Provably Doing Graph Contrastive Learning. KDD (2) Wenjie Yang, Shengzhong Zhang, Jiaxing Guo, Zengfeng Huang
2024	Misc	`conf`	Enhancing Performance of Coarsened Graphs with Gradient-Matching. ICASSP Wenjie Yang, Shengzhong Zhang, Zengfeng Huang
2024	J	`jnl`	Robust framework to prioritize blockchain-based supply chain challenges: the fuzzy best-worst approach for multiple criteria decision-making. Kybernetes Muhammad Shoaib, Shengzhong Zhang, Hassan Ali, Muhammad Azeem Akbar, Muhammad Hamza, Waheed Ur Rehman
2024	A*	`conf`	StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning. ICLR Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang
2024	J	`jnl`	Your Graph Recommender is Provably a Single-view Graph Contrastive Learning. CoRR Wenjie Yang, Shengzhong Zhang, Jiaxing Guo, Zengfeng Huang
2023	J	`jnl`	Effective stabilized self-training on few-labeled graph data. Inf. Sci. Ziang Zhou, Jieming Shi, Shengzhong Zhang, Zengfeng Huang, Qing Li
2023	A*	`conf`	Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition. NeurIPS Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang
2023	J	`jnl`	Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition. CoRR Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang
2023	J	`jnl`	StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning. CoRR Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang
2023	J	`jnl`	UNREAL: Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification. CoRR Liang Yan, Shengzhong Zhang, Bisheng Li, Min Zhou, Zengfeng Huang
2023	J	`jnl`	Understanding Community Bias Amplification in Graph Representation Learning. CoRR Shengzhong Zhang, Wenjie Yang, Yimin Zhang, Hongwei Zhang, Divin Yan, Zengfeng Huang
2022	A*	`conf`	BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. SIGIR Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
2022	J	`jnl`	BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. CoRR Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
2021	A*	`conf`	Scaling Up Graph Neural Networks Via Graph Coarsening. KDD Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou
2021	J	`jnl`	Scaling Up Graph Neural Networks Via Graph Coarsening. CoRR Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou
2020	A*	`conf`	SCE: Scalable Network Embedding from Sparsest Cut. KDD Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou
2020	J	`jnl`	SCE: Scalable Network Embedding from Sparsest Cut. CoRR Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou
2019	J	`jnl`	A Risk-Averse Newsvendor Model Under the Framework of Uncertainty Theory. IEEE Access Shengzhong Zhang, Yingmin Yu, Jidong Li, Qihong Zhu