Privacy preserving attribute reduction for horizontally partitioned data. - Mingquan Ye; Xuegang Hu; Changrong Wu (ISKE, 2010)

Multi-level rough set reduction for decision rule mining. - Mingquan Ye; Xindong Wu 001; Xuegang Hu; Donghui Hu (Appl. Intell., 2013)

Anonymizing classification data using rough set theory. - Mingquan Ye; Xindong Wu 001; Xuegang Hu; Donghui Hu (Knowl. Based Syst., 2013)

Knowledge reduction for decision tables with attribute value taxonomies. - Mingquan Ye; Xindong Wu 001; Xuegang Hu; Donghui Hu (Knowl. Based Syst., 2014)

Online Visual Tracking via Coupled Object-Context Dictionary. - Mingquan Ye; Hong Chang 001; Xilin Chen 001 (BMVC, 2015)

Brain MR image segmentation based on Gaussian filtering and improved FCM clustering algorithm. - Chunyuan Wan; Mingquan Ye; Chuanwen Yao; Changrong Wu (CISP-BMEI, 2017)

Hybrid Method Based on Information Gain and Support Vector Machine for Gene Selection in Cancer Classification. - Lingyun Gao; Mingquan Ye; Xiaojie Lu; Daobin Huang (Genom. Proteom. Bioinform., 2017)

Solving Minimum Enclosing Ball with Outliers: Algorithm, Implementation, and Application. - Hu Ding; Mingquan Ye (CoRR, 2018)

On Geometric Alignment in Low Doubling Dimension. - Hu Ding; Mingquan Ye (AAAI, 2019)

Minor Sparsifiers and the Distributed Laplacian Paradigm. - Sebastian Forster; Gramoz Goranci; Yang P. Liu; Richard Peng; Xiaorui Sun; Mingquan Ye (FOCS, 2021)

Cancer Classification with a Cost-Sensitive Naive Bayes Stacking Ensemble. - Yueling Xiong; Mingquan Ye; Changrong Wu (Comput. Math. Methods Medicine, 2021)

Universally-Optimal Distributed Shortest Paths and Transshipment via Graph-Based L1-Oblivious Routing. - Goran Zuzic; Gramoz Goranci; Mingquan Ye; Bernhard Haeupler; Xiaorui Sun (CoRR, 2021)

ncRNA-Protein Interaction Prediction using Convolutional Architecture with Cross-correlation Information. - Daobin Huang; Mingquan Ye; Jie Chang 001; Yuting Liu; Ling Zhang (ICBBT, 2022)

Universally-Optimal Distributed Shortest Paths and Transshipment via Graph-Based ℓ1-Oblivious Routing. - Goran Zuzic; Gramoz Goranci; Mingquan Ye; Bernhard Haeupler; Xiaorui Sun (SODA, 2022)

A Nearly-Optimal Bound for Fast Regression with ℓ∞ Guarantee. - Zhao Song 002; Mingquan Ye; Junze Yin; Lichen Zhang 003 (ICML, 2023)

Efficient Asynchronize Stochastic Gradient Algorithm with Structured Data. - Zhao Song 002; Mingquan Ye (CoRR, 2023)

Streaming Semidefinite Programs: O(√n) Passes, Small Space and Fast Runtime. - Zhao Song 002; Mingquan Ye; Lichen Zhang 003 (CoRR, 2023)

A Data-dependent Approach for High-dimensional (Robust) Wasserstein Alignment. - Hu Ding; Wenjie Liu 008; Mingquan Ye (ACM J. Exp. Algorithmics, 2023)

High-Accuracy Multicommodity Flows via Iterative Refinement. - Li Chen 028; Mingquan Ye (ICALP, 2024)

Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation. - Zhao Song 002; Mingquan Ye; Junze Yin; Lichen Zhang 003 (ICLR, 2025)

Effective multi-view representation learning for single-view attributed graph clustering. - Heng Liu 002; Weizhi Zhao; Zhou Bao; Mingquan Ye; Caifeng Shan (Knowl. Based Syst., 2025)

Classification of the stages of Alzheimer's disease based on three-dimensional lightweight neural networks. - Jun Li; Juntong Liu; Yang Su; Jie Chang; Mingquan Ye (PeerJ Comput. Sci., 2025)

Cut-Matching Games for Bipartiteness Ratio of Undirected Graphs. - Tasuku Soma; Mingquan Ye; Yuichi Yoshida (CoRR, 2025)

3D ME-Net: multi-scale and edge-guided enhancement network for intracranial aneurysm segmentation. - Jiaqi Wang; Juntong Liu; Jun Li; Aiping Wu; Yunfeng Zhou; Mingquan Ye (Appl. Intell., 2025)

Improving bi-directional recurrent network for video super-resolution with deformable motion alignment structure. - Heng Liu; Xiangchen Huang; Yuezhong Chu; Mingquan Ye; Tao Liu (Int. J. Mach. Learn. Cybern., 2025)