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Mingquan Ye
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2020 – today
- 2026
[j14]Jiaqi Wang
, Juntong Liu, Zhengyuan Xu, Yunfeng Zhou, Mingquan Ye:
M-PointNet: A Multi-Layer Embedded Deep Learning Model for 3D Intracranial Aneurysm Classification and Segmentation. IET Image Process. 20(1) (2026)- 2025
[j13]Jiaqi Wang, Juntong Liu, Jun Li, Aiping Wu, Yunfeng Zhou, Mingquan Ye
:
3D ME-Net: multi-scale and edge-guided enhancement network for intracranial aneurysm segmentation. Appl. Intell. 55(13): 929 (2025)
[j12]Aiping Wu, Mingquan Ye, Jiaqi Wang, Ye Shi, Yunfeng Zhou:
SCUX-Net: Integrating Multi-Scale Features and Channel-Spatial Attention Model for Intracranial Aneurysm Segmentation. IET Image Process. 19(1) (2025)
[j11]Yueling Xiong, Mingquan Ye, Peipei Wang, Qingqing Li:
Rupture risk prediction of intracranial aneurysm by using gene expression data mining and intelligent optimisation algorithm. Int. J. Bio Inspired Comput. 26(1): 24-34 (2025)
[j10]Aiping Wu, Mingquan Ye, Jiaqi Wang, Ye Shi, Yunfeng Zhou:
Enhanced intracranial aneurysm segmentation via fusion of MedLAM and 3D U-Net architectures. Int. J. Bio Inspired Comput. 26(1): 51-63 (2025)
[j9]Heng Liu
, Weizhi Zhao
, Zhou Bao, Mingquan Ye, Caifeng Shan
:
Effective multi-view representation learning for single-view attributed graph clustering. Knowl. Based Syst. 322: 113675 (2025)
[j8]Heng Liu, Xiangchen Huang, Yuezhong Chu
, Mingquan Ye, Tao Liu:
Improving bi-directional recurrent network for video super-resolution with deformable motion alignment structure. Int. J. Mach. Learn. Cybern. 16(7-8): 4783-4795 (2025)
[j7]Jun Li
, Juntong Liu, Yang Su, Jie Chang, Mingquan Ye:
Classification of the stages of Alzheimer's disease based on three-dimensional lightweight neural networks. PeerJ Comput. Sci. 11: e2897 (2025)
[c10]Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang:
Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation. ICLR 2025
[i11]Tasuku Soma, Mingquan Ye, Yuichi Yoshida:
Cut-Matching Games for Bipartiteness Ratio of Undirected Graphs. CoRR abs/2507.12847 (2025)- 2024
[c9]Li Chen, Mingquan Ye:
High-Accuracy Multicommodity Flows via Iterative Refinement. ICALP 2024: 45:1-45:19- 2023
[j6]Hu Ding
, Wenjie Liu
, Mingquan Ye
:
A Data-dependent Approach for High-dimensional (Robust) Wasserstein Alignment. ACM J. Exp. Algorithmics 28: 1.8:1-1.8:32 (2023)
[c8]Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang:
A Nearly-Optimal Bound for Fast Regression with ℓ∞ Guarantee. ICML 2023: 32463-32482
[i10]Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang:
A Nearly-Optimal Bound for Fast Regression with 𝓁∞ Guarantee. CoRR abs/2302.00248 (2023)
[i9]Li Chen, Mingquan Ye:
High-Accuracy Multicommodity Flows via Iterative Refinement. CoRR abs/2304.11252 (2023)
[i8]Zhao Song, Mingquan Ye:
Efficient Asynchronize Stochastic Gradient Algorithm with Structured Data. CoRR abs/2305.08001 (2023)
[i7]Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang:
Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation. CoRR abs/2306.04169 (2023)
[i6]Zhao Song, Mingquan Ye, Lichen Zhang:
Streaming Semidefinite Programs: O(√n) Passes, Small Space and Fast Runtime. CoRR abs/2309.05135 (2023)- 2022
[c7]Daobin Huang, Mingquan Ye, Jie Chang, Yuting Liu, Ling Zhang:
ncRNA-Protein Interaction Prediction using Convolutional Architecture with Cross-correlation Information. ICBBT 2022: 115-119
[c6]Goran Zuzic, Gramoz Goranci, Mingquan Ye, Bernhard Haeupler
, Xiaorui Sun:
Universally-Optimal Distributed Shortest Paths and Transshipment via Graph-Based ℓ1-Oblivious Routing. SODA 2022: 2549-2579
[i5]Hu Ding, Wenjie Liu, Mingquan Ye:
A Data-dependent Approach for High Dimensional (Robust) Wasserstein Alignment. CoRR abs/2209.02905 (2022)- 2021
[j5]Yueling Xiong, Mingquan Ye
, Changrong Wu
:
Cancer Classification with a Cost-Sensitive Naive Bayes Stacking Ensemble. Comput. Math. Methods Medicine 2021: 5556992:1-5556992:12 (2021)
[c5]Sebastian Forster, Gramoz Goranci, Yang P. Liu, Richard Peng
, Xiaorui Sun, Mingquan Ye:
Minor Sparsifiers and the Distributed Laplacian Paradigm. FOCS 2021: 989-999
[i4]Goran Zuzic, Gramoz Goranci, Mingquan Ye, Bernhard Haeupler, Xiaorui Sun:
Universally-Optimal Distributed Shortest Paths and Transshipment via Graph-Based L1-Oblivious Routing. CoRR abs/2110.15944 (2021)- 2020
[i3]Sebastian Forster, Gramoz Goranci, Yang P. Liu, Richard Peng, Xiaorui Sun, Mingquan Ye:
Minor Sparsifiers and the Distributed Laplacian Paradigm. CoRR abs/2012.15675 (2020)
2010 – 2019
- 2019
[c4]Hu Ding, Mingquan Ye:
On Geometric Alignment in Low Doubling Dimension. AAAI 2019: 1460-1467- 2018
[i2]Hu Ding, Mingquan Ye:
Solving Minimum Enclosing Ball with Outliers: Algorithm, Implementation, and Application. CoRR abs/1804.09653 (2018)
[i1]Hu Ding, Mingquan Ye:
On Geometric Alignment in Low Doubling Dimension. CoRR abs/1811.07455 (2018)- 2017
[j4]Lingyun Gao
, Mingquan Ye
, Xiaojie Lu
, Daobin Huang
:
Hybrid Method Based on Information Gain and Support Vector Machine for Gene Selection in Cancer Classification. Genom. Proteom. Bioinform. 15(6): 389-395 (2017)
[c3]Chunyuan Wan, Mingquan Ye, Chuanwen Yao, Changrong Wu:
Brain MR image segmentation based on Gaussian filtering and improved FCM clustering algorithm. CISP-BMEI 2017: 1-5- 2015
[c2]Mingquan Ye, Hong Chang, Xilin Chen:
Online Visual Tracking via Coupled Object-Context Dictionary. BMVC 2015: 165.1-165.11- 2014
[j3]Mingquan Ye, Xindong Wu, Xuegang Hu, Donghui Hu:
Knowledge reduction for decision tables with attribute value taxonomies. Knowl. Based Syst. 56: 68-78 (2014)- 2013
[j2]Mingquan Ye, Xindong Wu, Xuegang Hu, Donghui Hu:
Multi-level rough set reduction for decision rule mining. Appl. Intell. 39(3): 642-658 (2013)
[j1]Mingquan Ye, Xindong Wu, Xuegang Hu, Donghui Hu:
Anonymizing classification data using rough set theory. Knowl. Based Syst. 43: 82-94 (2013)- 2010
[c1]Mingquan Ye, Xuegang Hu, Changrong Wu:
Privacy preserving attribute reduction for horizontally partitioned data. ISKE 2010: 315-319
Coauthor Index

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last updated on 2026-04-01 23:42 CEST by the dblp team
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