Xueqi Ma - RankMe

46 papers A* 7A 1Journal 32Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Attention in Space: Functional Roles of VLM Heads for Spatial Reasoning. CoRR Xueqi Ma, Shuo Yang, Yanbei Jiang, Shu Liu, Zhenzhen Liu, Jiayang Ao, Xingjun Ma, Sarah Monazam Erfani, James Bailey
2026	A*	`conf`	Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models. AAAI Xueqi Ma, Xingjun Ma, Sarah Monazam Erfani, Danilo P. Mandic, James Bailey
2026	J	`jnl`	EvoTool: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection. CoRR Shuo Yang, Soyeon Caren Han, Xueqi Ma, Yan Li, Mohammad Reza Ghasemi Madani, Eduard H. Hovy
2026	A*	`conf`	Hi-GMAE: Hierarchical Graph Masked Autoencoders. WWW Chuang Liu, Zelin Yao, Xueqi Ma, Mukun Chen, Luzhi Wang, Jia Wu, Wenbin Hu
2026	J	`jnl`	MeshTailor: Cutting Seams via Generative Mesh Traversal. CoRR Xueqi Ma, Xingguang Yan, Congyue Zhang, Hui Huang
2025	J	`jnl`	Auto Hair Card Extraction for Smooth Hair with Differentiable Rendering. ACM Trans. Graph. Zhongtian Zheng, Tao Huang, Haozhe Su, Xueqi Ma, Yuefan Shen, Tongtong Wang, Yin Yang, Xifeng Gao, Zherong Pan, Kui Wu
2025	—	`conf`	CLR-Wire: Towards Continuous Latent Representations for 3D Curve Wireframe Generation. SIGGRAPH (Conference Paper Track) Xueqi Ma, Yilin Liu, Tianlong Gao, Qirui Huang, Hui Huang
2025	J	`jnl`	CLR-Wire: Towards Continuous Latent Representations for 3D Curve Wireframe Generation. CoRR Xueqi Ma, Yilin Liu, Tianlong Gao, Qirui Huang, Hui Huang
2025	J	`jnl`	Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models. CoRR Xueqi Ma, Xingjun Ma, Sarah Monazam Erfani, Danilo P. Mandic, James Bailey
2025	J	`jnl`	Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM Reasoning. CoRR Xueqi Ma, Jun Wang, Yanbei Jiang, Sarah Monazam Erfani, Tongliang Liu, James Bailey
2025	J	`jnl`	DiffHairCard: Auto Hair Card Extraction with Differentiable Rendering. CoRR Zhongtian Zheng, Tao Huang, Haozhe Su, Xueqi Ma, Yuefan Shen, Tongtong Wang, Yin Yang, Xifeng Gao, Zherong Pan, Kui Wu
2025	J	`jnl`	Graph explicit pooling for graph-level representation learning. Neural Networks Chuang Liu, Wenhang Yu, Kuang Gao, Xueqi Ma, Yibing Zhan, Jia Wu, Wenbin Hu, Bo Du
2025	J	`jnl`	Investigating The Functional Roles of Attention Heads in Vision Language Models: Evidence for Reasoning Modules. CoRR Yanbei Jiang, Xueqi Ma, Shu Liu, Sarah Monazam Erfani, Tongliang Liu, James Bailey, Jey Han Lau, Krista A. Ehinger
2025	A*	`conf`	Reasoning Like Experts: Leveraging Multimodal Large Language Models for Drawing-based Psychoanalysis. ACM Multimedia Xueqi Ma, Yanbei Jiang, Sarah M. Erfani, James Bailey, Weifeng Liu, Krista A. Ehinger, Jey Han Lau
2025	J	`jnl`	Reasoning Like Experts: Leveraging Multimodal Large Language Models for Drawing-based Psychoanalysis. CoRR Xueqi Ma, Yanbei Jiang, Sarah M. Erfani, James Bailey, Weifeng Liu, Krista A. Ehinger, Jey Han Lau
2025	J	`jnl`	SeamCrafter: Enhancing Mesh Seam Generation for Artist UV Unwrapping via Reinforcement Learning. CoRR Duoteng Xu, Yuguang Chen, Jing Li, Xinhai Liu, Xueqi Ma, Zhuo Chen, Dongyu Zhang, Chunchao Guo
2024	J	`jnl`	Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic
2024	J	`jnl`	Dual-perspective Cross Contrastive Learning in Graph Transformers. CoRR Zelin Yao, Chuang Liu, Xueqi Ma, Mukun Chen, Jia Wu, Xiantao Cai, Bo Du, Wenbin Hu
2024	J	`jnl`	Exploring sparsity in graph transformers. Neural Networks Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du
2024	J	`jnl`	Finding core labels for maximizing generalization of graph neural networks. Neural Networks Sichao Fu, Xueqi Ma, Yibing Zhan, Fanyu You, Qinmu Peng, Tongliang Liu, James Bailey, Danilo P. Mandic
2024	A*	`conf`	GenUDC: High Quality 3D Mesh Generation With Unsigned Dual Contouring Representation. ACM Multimedia Ruowei Wang, Jiaqi Li, Dan Zeng, Xueqi Ma, Zixiang Xu, Jianwei Zhang, Qijun Zhao
2024	J	`jnl`	GenUDC: High Quality 3D Mesh Generation with Unsigned Dual Contouring Representation. CoRR Ruowei Wang, Jiaqi Li, Dan Zeng, Xueqi Ma, Zixiang Xu, Jian-wei Zhang, Qijun Zhao
2024	—	`conf`	Generating 3D House Wireframes with Semantics. ECCV (22) Xueqi Ma, Yilin Liu, Wenjun Zhou, Ruowei Wang, Hui Huang
2024	J	`jnl`	Generating 3D House Wireframes with Semantics. CoRR Xueqi Ma, Yilin Liu, Wenjun Zhou, Ruowei Wang, Hui Huang
2024	A*	`conf`	Gradformer: Graph Transformer with Exponential Decay. IJCAI Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu
2024	J	`jnl`	Gradformer: Graph Transformer with Exponential Decay. CoRR Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu
2024	J	`jnl`	Hi-GMAE: Hierarchical Graph Masked Autoencoders. CoRR Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu, Shirui Pan, Bo Du
2024	A	`conf`	Training Sparse Graph Neural Networks via Pruning and Sprouting. SDM Xueqi Ma, Xingjun Ma, Sarah M. Erfani, James Bailey
2024	A*	`conf`	Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. IJCAI Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu
2024	J	`jnl`	Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. CoRR Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu
2023	J	`jnl`	Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes. CoRR Chuang Liu, Wenhang Yu, Kuang Gao, Xueqi Ma, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu
2023	J	`jnl`	Exploring Sparsity in Graph Transformers. CoRR Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du
2023	A*	`conf`	Gapformer: Graph Transformer with Graph Pooling for Node Classification. IJCAI Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu
2023	J	`jnl`	Graph structure reforming framework enhanced by commute time distance for graph classification. Neural Networks Wenhang Yu, Xueqi Ma, James Bailey, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu
2022	J	`jnl`	Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. CoRR Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic
2022	J	`jnl`	Learning Representation on Optimized High-Order Manifold for Visual Classification. IEEE Trans. Multim. Xueqi Ma, Weifeng Liu, Qi Tian, Yue Gao
2022	—	`conf`	Masked Graph Auto-Encoder Constrained Graph Pooling. ECML/PKDD (2) Chuang Liu, Yibing Zhan, Xueqi Ma, Dapeng Tao, Bo Du, Wenbin Hu
2021	—	`conf`	Appearance Design Method of "New Mandatory Standard" for Electric Bicycle Based on Online Comments. AHFE (2) Miao Liu, Xueqi Ma
2019	J	`jnl`	$p$ -Laplacian Regularization for Scene Recognition. IEEE Trans. Cybern. Weifeng Liu, Xueqi Ma, Yicong Zhou, Dapeng Tao, Jun Cheng
2019	J	`jnl`	Effective human action recognition by combining manifold regularization and pairwise constraints. Multim. Tools Appl. Xueqi Ma, Dapeng Tao, Weifeng Liu
2019	J	`jnl`	Ensemble p-Laplacian Regularization for Scene Image Recognition. Cogn. Comput. Xueqi Ma, Weifeng Liu, Dapeng Tao, Yicong Zhou
2019	J	`jnl`	Hypergraph $p$ -Laplacian Regularization for Remotely Sensed Image Recognition. IEEE Trans. Geosci. Remote. Sens. Xueqi Ma, Weifeng Liu, Shuying Li, Dapeng Tao, Yicong Zhou
2018	J	`jnl`	Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition. CoRR Xueqi Ma, Weifeng Liu, Dapeng Tao, Yicong Zhou
2018	J	`jnl`	Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition. CoRR Xueqi Ma, Weifeng Liu, Shuying Li, Yicong Zhou
2016	—	`conf`	Local Structure Preserving Using Manifold Regularization and Pairwise Constraints for Action Recognition. ICDM Workshops Xueqi Ma, Zhengyang Cao, Weifeng Liu
2016	—	`conf`	Semi-supervised Hessian Eigenmap for Human Action Recognition. IVS Xueqi Ma, Jiaxing Pan, Yue Wang, Weifeng Liu