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2020 – today
- 2024
[j9]Chuang Liu
, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du:
Exploring sparsity in graph transformers. Neural Networks 174: 106265 (2024)- [j8]Sichao Fu, Xueqi Ma, Yibing Zhan, Fanyu You, Qinmu Peng, Tongliang Liu, James Bailey, Danilo P. Mandic:
Finding core labels for maximizing generalization of graph neural networks. Neural Networks 180: 106635 (2024) - [j7]Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic:
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14903-14917 (2024) - [c10]Xueqi Ma, Yilin Liu, Wenjun Zhou, Ruowei Wang, Hui Huang:
Generating 3D House Wireframes with Semantics. ECCV (22) 2024: 223-240 - [c9]Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu:
Gradformer: Graph Transformer with Exponential Decay. IJCAI 2024: 2171-2179 - [c8]Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu:
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. IJCAI 2024: 2180-2188 - [c7]Ruowei Wang, Jiaqi Li, Dan Zeng, Xueqi Ma, Zixiang Xu, Jianwei Zhang, Qijun Zhao:
GenUDC: High Quality 3D Mesh Generation With Unsigned Dual Contouring Representation. ACM Multimedia 2024: 10862-10871 - [c6]Xueqi Ma, Xingjun Ma, Sarah M. Erfani, James Bailey:
Training Sparse Graph Neural Networks via Pruning and Sprouting. SDM 2024: 136-144 - [i10]Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu:
Gradformer: Graph Transformer with Exponential Decay. CoRR abs/2404.15729 (2024) - [i9]Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu:
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. CoRR abs/2404.15806 (2024) - [i8]Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu, Shirui Pan, Bo Du:
Hi-GMAE: Hierarchical Graph Masked Autoencoders. CoRR abs/2405.10642 (2024) - [i7]Zelin Yao, Chuang Liu, Xueqi Ma, Mukun Chen, Jia Wu, Xiantao Cai, Bo Du, Wenbin Hu:
Dual-perspective Cross Contrastive Learning in Graph Transformers. CoRR abs/2406.00403 (2024) - [i6]Xueqi Ma, Yilin Liu, Wenjun Zhou, Ruowei Wang, Hui Huang:
Generating 3D House Wireframes with Semantics. CoRR abs/2407.12267 (2024) - 2023
- [j6]Wenhang Yu, Xueqi Ma, James Bailey, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu:
Graph structure reforming framework enhanced by commute time distance for graph classification. Neural Networks 168: 539-548 (2023) - [c5]Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu:
Gapformer: Graph Transformer with Graph Pooling for Node Classification. IJCAI 2023: 2196-2205 - [i5]Chuang Liu, Wenhang Yu, Kuang Gao, Xueqi Ma, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu:
Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes. CoRR abs/2311.12644 (2023) - [i4]Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du:
Exploring Sparsity in Graph Transformers. CoRR abs/2312.05479 (2023) - 2022
- [j5]Xueqi Ma, Weifeng Liu, Qi Tian, Yue Gao:
Learning Representation on Optimized High-Order Manifold for Visual Classification. IEEE Trans. Multim. 24: 3989-4001 (2022) - [c4]Chuang Liu, Yibing Zhan, Xueqi Ma, Dapeng Tao, Bo Du, Wenbin Hu:
Masked Graph Auto-Encoder Constrained Graph Pooling. ECML/PKDD (2) 2022: 377-393 - [i3]Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic:
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. CoRR abs/2207.08629 (2022) - 2021
- [c3]Miao Liu, Xueqi Ma:
Appearance Design Method of "New Mandatory Standard" for Electric Bicycle Based on Online Comments. AHFE (2) 2021: 1042-1048
2010 – 2019
- 2019
- [j4]Xueqi Ma, Weifeng Liu, Dapeng Tao, Yicong Zhou:
Ensemble p-Laplacian Regularization for Scene Image Recognition. Cogn. Comput. 11(6): 841-854 (2019) - [j3]Xueqi Ma, Dapeng Tao, Weifeng Liu:
Effective human action recognition by combining manifold regularization and pairwise constraints. Multim. Tools Appl. 78(10): 13313-13329 (2019) - [j2]Weifeng Liu, Xueqi Ma, Yicong Zhou, Dapeng Tao, Jun Cheng:
$p$ -Laplacian Regularization for Scene Recognition. IEEE Trans. Cybern. 49(8): 2927-2940 (2019) - [j1]Xueqi Ma, Weifeng Liu, Shuying Li, Dapeng Tao, Yicong Zhou:
Hypergraph $p$ -Laplacian Regularization for Remotely Sensed Image Recognition. IEEE Trans. Geosci. Remote. Sens. 57(3): 1585-1595 (2019) - 2018
- [i2]Xueqi Ma, Weifeng Liu, Shuying Li, Yicong Zhou:
Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition. CoRR abs/1806.08104 (2018) - [i1]Xueqi Ma, Weifeng Liu, Dapeng Tao, Yicong Zhou:
Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition. CoRR abs/1806.08109 (2018) - 2016
- [c2]Xueqi Ma, Zhengyang Cao, Weifeng Liu:
Local Structure Preserving Using Manifold Regularization and Pairwise Constraints for Action Recognition. ICDM Workshops 2016: 480-486 - [c1]Xueqi Ma, Jiaxing Pan, Yue Wang, Weifeng Liu:
Semi-supervised Hessian Eigenmap for Human Action Recognition. IVS 2016: 133-139
Coauthor Index
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