Guixiang Ma

According to our database, Guixiang Ma authored at least 37 papers between 2010 and 2024.

Collaborative distances:

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

2024

Personalized recommendation via inductive spatiotemporal graph neural network.

Jibing Gong, Yi Zhao, Jinye Zhao, Jin Zhang, Guixiang Ma, Shaojie Zheng, Shuying Du, Jie Tang

Pattern Recognit., January, 2024

2023

Explainable survival analysis with uncertainty using convolution-involved vision transformer.

Zhihao Tang, Li Liu, Yifan Shen, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xujie Sun, Xi Zhang, Chaozhuo Li, Qingfeng Zheng, Lin Yang

Comput. Medical Imaging Graph., December, 2023

Line graph contrastive learning for link prediction.

Zehua Zhang, Shilin Sun, Guixiang Ma, Caiming Zhong

Pattern Recognit., August, 2023

MolHF: Molecular Heterogeneous Attributes Fusion for Drug-Target Affinity Prediction on Heterogeneity.

Runze Wang, Zehua Zhang, Yueqin Zhang, Zhongyuan Jiang, Shilin Sun, Guixiang Ma

IEICE Trans. Inf. Syst., May, 2023

A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images.

Haozhe Jia, Haoteng Tang, Guixiang Ma, Weidong Cai, Heng Huang, Liang Zhan, Yong Xia

Comput. Biol. Medicine, March, 2023

Leveraging Reinforcement Learning and Large Language Models for Code Optimization.

Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan

CoRR, 2023

Robust Ranking Explanations.

Chao Chen, Chenghua Guo, Guixiang Ma, Ming Zeng, Xi Zhang, Sihong Xie

CoRR, 2023

Community-Enhanced Contrastive Siamese Networks for Graph Representation Learning.

Yafang Li, Wenbo Wang, Guixiang Ma, Baokai Zu

Proceedings of the Knowledge Science, Engineering and Management, 2023

Augmenting Recurrent Graph Neural Networks with a Cache.

Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Robust Ranking Explanations.

Chao Chen, Chenghua Guo, Guixiang Ma, Xi Zhang, Sihong Xie

CoRR, 2022

Memory-Augmented Graph Neural Networks: A Neuroscience Perspective.

Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed

CoRR, 2022

Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model.

Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhang

CoRR, 2022

End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning.

Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan

CoRR, 2022

DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media.

Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Explainable Survival Analysis with Convolution-Involved Vision Transformer.

Yifan Shen, Li Liu, Zhihao Tang, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xi Zhang, Lin Yang, Qingfeng Zheng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning.

Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan

Neural Networks, 2021

Deep graph similarity learning: a survey.

Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu

Data Min. Knowl. Discov., 2021

PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images.

Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia

CoRR, 2021

DistGNN: scalable distributed training for large-scale graph neural networks.

Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha

Proceedings of the International Conference for High Performance Computing, 2021

A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems.

Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan

Proceedings of Machine Learning and Systems 2021, 2021

Self-learn to Explain Siamese Networks Robustly.

Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie

Proceedings of the IEEE International Conference on Data Mining, 2021

Learning Code Representations Using Multifractal-based Graph Networks.

Guixiang Ma, Yao Xiao, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan, Nesreen K. Ahmed

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems.

Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan

CoRR, 2020

Adversarial Attack on Hierarchical Graph Pooling Neural Networks.

Haoteng Tang, Guixiang Ma, Yurong Chen, Lei Guo, Wei Wang, Bo Zeng, Liang Zhan

CoRR, 2020

Robust Spammer Detection by Nash Reinforcement Learning.

Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Deep Graph Similarity Learning for Brain Data Analysis.

Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks.

Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Similarity Learning with Higher-Order Proximity for Brain Network Analysis.

Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu

CoRR, 2018

Securing Behavior-based Opinion Spam Detection.

Shuaijun Ge, Guixiang Ma, Sihong Xie, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Kernelized Support Tensor Machines.

Lifang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, LinLin Shen, Philip S. Yu, Ann B. Ragin

Proceedings of the 34th International Conference on Machine Learning, 2017

Multi-view Graph Embedding with Hub Detection for Brain Network Analysis.

Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Multi-view Clustering with Graph Embedding for Connectome Analysis.

Guixiang Ma, Lifang He, Chun-Ta Lu, Weixiang Shao, Philip S. Yu, Alex D. Leow, Ann B. Ragin

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification.

Guixiang Ma, Lifang He, Chun-Ta Lu, Philip S. Yu, Linlin Shen, Ann B. Ragin

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks.

Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, Ann B. Ragin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2013

Research on Contrastive Viewpoint Summarization for Opinionated Texts.

Xu Liang, Youli Qu, Guixiang Ma

J. Interconnect. Networks, 2013

2012

Research on Extension LexRank in Summarization for Opinionated Texts.

Xu Liang, Youli Qu, Guixiang Ma

Proceedings of the 13th International Conference on Parallel and Distributed Computing, 2012

2010

Online Advertising Regulatory Resources Integration: A Framework Based on SOA.

Yinbin Liu, Guixiang Ma

Proceedings of the International Conference on E-Business and E-Government, 2010