Xueqi Ma

According to our database, Xueqi Ma authored at least 37 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MeshTailor: Cutting Seams via Generative Mesh Traversal.

Xueqi Ma, Xingguang Yan, Congyue Zhang, Hui Huang

CoRR, March, 2026

Attention in Space: Functional Roles of VLM Heads for Spatial Reasoning.

Xueqi Ma, Shuo Yang, Yanbei Jiang, Shu Liu, Zhenzhen Liu, Jiayang Ao, Xingjun Ma, Sarah Monazam Erfani, James Bailey

CoRR, March, 2026

EvoTool: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection.

Shuo Yang, Soyeon Caren Han, Xueqi Ma, Yan Li, Mohammad Reza Ghasemi Madani, Eduard H. Hovy

CoRR, March, 2026

Hi-GMAE: Hierarchical Graph Masked Autoencoders.

Chuang Liu, Zelin Yao, Xueqi Ma, Mukun Chen, Luzhi Wang, Jia Wu, Wenbin Hu

Proceedings of the ACM Web Conference 2026, 2026

Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models.

Xueqi Ma, Xingjun Ma, Sarah Monazam Erfani, Danilo P. Mandic, James Bailey

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Auto Hair Card Extraction for Smooth Hair with Differentiable Rendering.

Zhongtian Zheng, Tao Huang, Haozhe Su, Xueqi Ma, Yuefan Shen, Tongtong Wang, Yin Yang, Xifeng Gao, Zherong Pan, Kui Wu

ACM Trans. Graph., December, 2025

Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM Reasoning.

Xueqi Ma, Jun Wang, Yanbei Jiang, Sarah Monazam Erfani, Tongliang Liu, James Bailey

CoRR, December, 2025

Investigating The Functional Roles of Attention Heads in Vision Language Models: Evidence for Reasoning Modules.

Yanbei Jiang, Xueqi Ma, Shu Liu, Sarah Monazam Erfani, Tongliang Liu, James Bailey, Jey Han Lau, Krista A. Ehinger

CoRR, December, 2025

SeamCrafter: Enhancing Mesh Seam Generation for Artist UV Unwrapping via Reinforcement Learning.

Duoteng Xu, Yuguang Chen, Jing Li, Xinhai Liu, Xueqi Ma, Zhuo Chen, Dongyu Zhang, Chunchao Guo

CoRR, September, 2025

DiffHairCard: Auto Hair Card Extraction with Differentiable Rendering.

Zhongtian Zheng, Tao Huang, Haozhe Su, Xueqi Ma, Yuefan Shen, Tongtong Wang, Yin Yang, Xifeng Gao, Zherong Pan, Kui Wu

CoRR, May, 2025

Graph explicit pooling for graph-level representation learning.

Chuang Liu, Wenhang Yu, Kuang Gao, Xueqi Ma, Yibing Zhan, Jia Wu, Wenbin Hu, Bo Du

Neural Networks, 2025

CLR-Wire: Towards Continuous Latent Representations for 3D Curve Wireframe Generation.

Xueqi Ma, Yilin Liu, Tianlong Gao, Qirui Huang, Hui Huang

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2025

Reasoning Like Experts: Leveraging Multimodal Large Language Models for Drawing-based Psychoanalysis.

Xueqi Ma, Yanbei Jiang, Sarah M. Erfani, James Bailey, Weifeng Liu, Krista A. Ehinger, Jey Han Lau

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024

Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks.

Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Exploring sparsity in graph transformers.

Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du

Neural Networks, 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, Danilo P. Mandic

Neural Networks, 2024

Dual-perspective Cross Contrastive Learning in Graph Transformers.

Zelin Yao, Chuang Liu, Xueqi Ma, Mukun Chen, Jia Wu, Xiantao Cai, Bo Du, Wenbin Hu

CoRR, 2024

Hi-GMAE: Hierarchical Graph Masked Autoencoders.

Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu, Shirui Pan, Bo Du

CoRR, 2024

Training Sparse Graph Neural Networks via Pruning and Sprouting.

Xueqi Ma, Xingjun Ma, Sarah M. Erfani, James Bailey

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

GenUDC: High Quality 3D Mesh Generation With Unsigned Dual Contouring Representation.

Ruowei Wang, Jiaqi Li, Dan Zeng, Xueqi Ma, Zixiang Xu, Jianwei Zhang, Qijun Zhao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Gradformer: Graph Transformer with Exponential Decay.

Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders.

Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Generating 3D House Wireframes with Semantics.

Xueqi Ma, Yilin Liu, Wenjun Zhou, Ruowei Wang, Hui Huang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Graph structure reforming framework enhanced by commute time distance for graph classification.

Wenhang Yu, Xueqi Ma, James Bailey, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu

Neural Networks, November, 2023

Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes.

Chuang Liu, Wenhang Yu, Kuang Gao, Xueqi Ma, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu

CoRR, 2023

Gapformer: Graph Transformer with Graph Pooling for Node Classification.

Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Learning Representation on Optimized High-Order Manifold for Visual Classification.

Xueqi Ma, Weifeng Liu, Qi Tian, Yue Gao

IEEE Trans. Multim., 2022

Masked Graph Auto-Encoder Constrained Graph Pooling.

Chuang Liu, Yibing Zhan, Xueqi Ma, Dapeng Tao, Bo Du, Wenbin Hu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Appearance Design Method of "New Mandatory Standard" for Electric Bicycle Based on Online Comments.

Miao Liu, Xueqi Ma

Proceedings of the Advances in Industrial Design, 2021

2019

Hypergraph $p$ -Laplacian Regularization for Remotely Sensed Image Recognition.

Xueqi Ma, Weifeng Liu, Shuying Li, Dapeng Tao, Yicong Zhou

IEEE Trans. Geosci. Remote. Sens., 2019

$p$ -Laplacian Regularization for Scene Recognition.

Weifeng Liu, Xueqi Ma, Yicong Zhou, Dapeng Tao, Jun Cheng

IEEE Trans. Cybern., 2019

Effective human action recognition by combining manifold regularization and pairwise constraints.

Xueqi Ma, Dapeng Tao, Weifeng Liu

Multim. Tools Appl., 2019

Ensemble p-Laplacian Regularization for Scene Image Recognition.

Xueqi Ma, Weifeng Liu, Dapeng Tao, Yicong Zhou

Cogn. Comput., 2019

2018

Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition.

Xueqi Ma, Weifeng Liu, Dapeng Tao, Yicong Zhou

CoRR, 2018

Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition.

Xueqi Ma, Weifeng Liu, Shuying Li, Yicong Zhou

CoRR, 2018

2016

Semi-supervised Hessian Eigenmap for Human Action Recognition.

Xueqi Ma, Jiaxing Pan, Yue Wang, Weifeng Liu

Proceedings of the Intelligent Visual Surveillance - 4th Chinese Conference, 2016

Local Structure Preserving Using Manifold Regularization and Pairwise Constraints for Action Recognition.

Xueqi Ma, Zhengyang Cao, Weifeng Liu

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016