New Research of Coefficient-Fuzzy Linear Programming. - Hua Pan; Haiquan Qiu; Bing-yuan Cao 001; Yongchao Hou (ICFIE, 2007)

On polynomial interpolation of intervals. - Yongchao Hou; Haiquan Qiu (FSKD, 2010)

Linear programming with fuzzy constraints based on nonlinear membership function. - Haiquan Qiu; Yongchao Hou; Hua Pan (FSKD, 2011)

An improved real-time endovascular guidewire position simulation using shortest path algorithm. - Jianpeng Qiu; Zhiyi Qu; Haiquan Qiu; Xiaomin Zhang (Medical Biol. Eng. Comput., 2016)

Improving self-training with density peaks of data and cut edge weight statistic. - Danni Wei; Youlong Yang; Haiquan Qiu (Soft Comput., 2020)

Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors. - Haiquan Qiu; Yao Wang 003; Deyu Meng (CVPR, 2021)

Non-Convex Sparse Deviation Modeling Via Generative Models. - Yaxi Yang; Hailin Wang; Haiquan Qiu; Jianjun Wang 003; Yao Wang 003 (ICASSP, 2021)

Intrinsic dimension estimation based on local adjacency information. - Haiquan Qiu; Youlong Yang; Benchong Li (Inf. Sci., 2021)

Node influence-based label propagation algorithm for semi-supervised learning. - Zhiwen Hua; Youlong Yang; Haiquan Qiu (Neural Comput. Appl., 2021)

Fast and Provable Nonconvex Tensor RPCA. - Haiquan Qiu; Yao Wang 003; Shaojie Tang 001; Deyu Meng; Quanming Yao (ICML, 2022)

Fuzzy entropy and fuzzy support-based boosting random forests for imbalanced data. - Mingxue Jiang; Youlong Yang; Haiquan Qiu (Appl. Intell., 2022)

Intrinsic dimension estimation method based on correlation dimension and kNN method. - Haiquan Qiu; Youlong Yang; Saeid Rezakhah (Knowl. Based Syst., 2022)

Robust Low-Tubal-Rank Tensor Recovery From Binary Measurements. - Jingyao Hou; Feng Zhang 023; Haiquan Qiu; Jianjun Wang 003; Yao Wang 003; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Logical Expressiveness of Graph Neural Network for Knowledge Graph Reasoning. - Haiquan Qiu; Yongqi Zhang; Yong Li 008; Quanming Yao (CoRR, 2023)

Two-stage semi-supervised clustering ensemble framework based on constraint weight. - Ding Zhang; Youlong Yang; Haiquan Qiu (Int. J. Mach. Learn. Cybern., 2023)

Underestimation modification for intrinsic dimension estimation. - Haiquan Qiu; Youlong Yang; Hua Pan (Pattern Recognit., 2023)

Understanding Expressivity of GNN in Rule Learning. - Haiquan Qiu; Yongqi Zhang; Yong Li 008; Quanming Yao (ICLR, 2024)

Graph Unitary Message Passing. - Haiquan Qiu; Yatao Bian; Quanming Yao (CoRR, 2024)

Neural Symbolic Regression of Complex Network Dynamics. - Haiquan Qiu; Shuzhi Liu; Quanming Yao (CoRR, 2024)

Explore the Disentanglement Mechanism for Deep Learning. - Haiquan Qiu; Quanming Yao (ICDE, 2025)

Superpose Singular Features for Model Merging. - Haiquan Qiu; You Wu; Quanming Yao (CoRR, 2025)