Local Structure Preserving Using Manifold Regularization and Pairwise Constraints for Action Recognition. - Xueqi Ma; Zhengyang Cao; Weifeng Liu 001 (ICDM Workshops, 2016)

Semi-supervised Hessian Eigenmap for Human Action Recognition. - Xueqi Ma; Jiaxing Pan; Yue Wang; Weifeng Liu 001 (IVS, 2016)

Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition. - Xueqi Ma; Weifeng Liu 001; Shuying Li; Yicong Zhou (CoRR, 2018)

Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition. - Xueqi Ma; Weifeng Liu 001; Dapeng Tao; Yicong Zhou (CoRR, 2018)

Ensemble p-Laplacian Regularization for Scene Image Recognition. - Xueqi Ma; Weifeng Liu 001; Dapeng Tao; Yicong Zhou (Cogn. Comput., 2019)

Effective human action recognition by combining manifold regularization and pairwise constraints. - Xueqi Ma; Dapeng Tao; Weifeng Liu 001 (Multim. Tools Appl., 2019)

$p$ -Laplacian Regularization for Scene Recognition. - Weifeng Liu 001; Xueqi Ma; Yicong Zhou; Dapeng Tao; Jun Cheng 002 (IEEE Trans. Cybern., 2019)

Hypergraph $p$ -Laplacian Regularization for Remotely Sensed Image Recognition. - Xueqi Ma; Weifeng Liu 001; Shuying Li; Dapeng Tao; Yicong Zhou (IEEE Trans. Geosci. Remote. Sens., 2019)

Appearance Design Method of "New Mandatory Standard" for Electric Bicycle Based on Online Comments. - Miao Liu; Xueqi Ma (AHFE (2), 2021)

Masked Graph Auto-Encoder Constrained Graph Pooling. - Chuang Liu 008; Yibing Zhan; Xueqi Ma; Dapeng Tao; Bo Du 001; Wenbin Hu 001 (ECML/PKDD (2), 2022)

Learning Representation on Optimized High-Order Manifold for Visual Classification. - Xueqi Ma; Weifeng Liu 001; Qi Tian 001; Yue Gao 002 (IEEE Trans. Multim., 2022)

Gapformer: Graph Transformer with Graph Pooling for Node Classification. - Chuang Liu 008; Yibing Zhan; Xueqi Ma; Liang Ding 006; Dapeng Tao; Jia Wu 001; Wenbin Hu 001 (IJCAI, 2023)

Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes. - Chuang Liu 008; Wenhang Yu; Kuang Gao; Xueqi Ma; Yibing Zhan; Jia Wu 001; Bo Du 001; Wenbin Hu 001 (CoRR, 2023)

Graph structure reforming framework enhanced by commute time distance for graph classification. - Wenhang Yu; Xueqi Ma; James Bailey 001; Yibing Zhan; Jia Wu 001; Bo Du 001; Wenbin Hu 001 (Neural Networks, 2023)

Generating 3D House Wireframes with Semantics. - Xueqi Ma; Yilin Liu; Wenjun Zhou; Ruowei Wang; Hui Huang 004 (ECCV (22), 2024)

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. - Chuang Liu 008; Yuyao Wang; Yibing Zhan; Xueqi Ma; Dapeng Tao; Jia Wu 001; Wenbin Hu 001 (IJCAI, 2024)

Gradformer: Graph Transformer with Exponential Decay. - Chuang Liu 008; Zelin Yao; Yibing Zhan; Xueqi Ma; Shirui Pan; Wenbin Hu 001 (IJCAI, 2024)

GenUDC: High Quality 3D Mesh Generation With Unsigned Dual Contouring Representation. - Ruowei Wang; Jiaqi Li; Dan Zeng 002; Xueqi Ma; Zixiang Xu; Jianwei Zhang 013; Qijun Zhao (ACM Multimedia, 2024)

Training Sparse Graph Neural Networks via Pruning and Sprouting. - Xueqi Ma; Xingjun Ma; Sarah M. Erfani; James Bailey 001 (SDM, 2024)

Hi-GMAE: Hierarchical Graph Masked Autoencoders. - Chuang Liu 008; Zelin Yao; Yibing Zhan; Xueqi Ma; Dapeng Tao; Jia Wu 001; Wenbin Hu 001; Shirui Pan; Bo Du 001 (CoRR, 2024)

Dual-perspective Cross Contrastive Learning in Graph Transformers. - Zelin Yao; Chuang Liu 008; Xueqi Ma; Mukun Chen; Jia Wu 001; Xiantao Cai; Bo Du 001; Wenbin Hu 001 (CoRR, 2024)

Finding core labels for maximizing generalization of graph neural networks. - Sichao Fu; Xueqi Ma; Yibing Zhan; Fanyu You; Qinmu Peng; Tongliang Liu; James Bailey 001; Danilo P. Mandic (Neural Networks, 2024)

Exploring sparsity in graph transformers. - Chuang Liu 008; Yibing Zhan; Xueqi Ma; Liang Ding 006; Dapeng Tao; Jia Wu 001; Wenbin Hu 001; Bo Du 001 (Neural Networks, 2024)

Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. - Chuang Liu 008; Xueqi Ma; Yibing Zhan; Liang Ding 006; Dapeng Tao; Bo Du 001; Wenbin Hu 001; Danilo P. Mandic (IEEE Trans. Neural Networks Learn. Syst., 2024)

Graph explicit pooling for graph-level representation learning. - Chuang Liu 008; Wenhang Yu; Kuang Gao; Xueqi Ma; Yibing Zhan; Jia Wu 001; Wenbin Hu 001; Bo Du 001 (Neural Networks, 2025)

CLR-Wire: Towards Continuous Latent Representations for 3D Curve Wireframe Generation. - Xueqi Ma; Yilin Liu; Tianlong Gao; Qirui Huang; Hui Huang 004 (CoRR, 2025)

DiffHairCard: Auto Hair Card Extraction with Differentiable Rendering. - Zhongtian Zheng; Tao Huang; Haozhe Su; Xueqi Ma; Yuefan Shen; Tongtong Wang; Yin Yang 002; Xifeng Gao; Zherong Pan; Kui Wu 003 (CoRR, 2025)