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2020 – today
- 2024
[j10]Jibing Gong, Yi Zhao, Jinye Zhao, Jin Zhang, Guixiang Ma, Shaojie Zheng, Shuying Du, Jie Tang:
Personalized recommendation via inductive spatiotemporal graph neural network. Pattern Recognit. 145: 109884 (2024)- [j9]Guixiang Ma
, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed:
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review. IEEE Trans. Artif. Intell. 5(5): 2011-2025 (2024) - [j8]Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhan:
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7363-7375 (2024) - [i20]Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Peiyu Zhang, Panagiotis Kyriakis, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan:
A structure-aware framework for learning device placements on computation graphs. CoRR abs/2405.14185 (2024) - 2023
- [j7]Haozhe Jia, Haoteng Tang, Guixiang Ma, Weidong Cai, Heng Huang, Liang Zhan, Yong Xia:
A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. Comput. Biol. Medicine 155: 106698 (2023) - [j6]Zhihao Tang, Li Liu, Yifan Shen, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xujie Sun, Xi Zhang, Chaozhuo Li, Qingfeng Zheng, Lin Yang:
Explainable survival analysis with uncertainty using convolution-involved vision transformer. Comput. Medical Imaging Graph. 110: 102302 (2023) - [j5]Runze Wang, Zehua Zhang, Yueqin Zhang, Zhongyuan Jiang, Shilin Sun, Guixiang Ma:
MolHF: Molecular Heterogeneous Attributes Fusion for Drug-Target Affinity Prediction on Heterogeneity. IEICE Trans. Inf. Syst. 106(5): 697-706 (2023) - [j4]Zehua Zhang, Shilin Sun, Guixiang Ma, Caiming Zhong:
Line graph contrastive learning for link prediction. Pattern Recognit. 140: 109537 (2023) - [c19]Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed:
Augmenting Recurrent Graph Neural Networks with a Cache. KDD 2023: 1608-1619 - [c18]Yafang Li, Wenbo Wang, Guixiang Ma, Baokai Zu:
Community-Enhanced Contrastive Siamese Networks for Graph Representation Learning. KSEM (1) 2023: 300-314 - [i19]Chao Chen, Chenghua Guo, Guixiang Ma, Ming Zeng, Xi Zhang, Sihong Xie:
Robust Ranking Explanations. CoRR abs/2307.04024 (2023) - [i18]Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan:
Leveraging Reinforcement Learning and Large Language Models for Code Optimization. CoRR abs/2312.05657 (2023) - 2022
- [c17]Yifan Shen, Li Liu, Zhihao Tang, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xi Zhang, Lin Yang, Qingfeng Zheng:
Explainable Survival Analysis with Convolution-Involved Vision Transformer. AAAI 2022: 2207-2215 - [c16]Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma:
DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media. AAAI 2022: 4611-4619 - [i17]Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan:
End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning. CoRR abs/2204.11981 (2022) - [i16]Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhang:
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. CoRR abs/2207.07650 (2022) - [i15]Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed:
Memory-Augmented Graph Neural Networks: A Neuroscience Perspective. CoRR abs/2209.10818 (2022) - [i14]Zehua Zhang, Shilin Sun, Guixiang Ma, Caiming Zhong:
Line Graph Contrastive Learning for Link Prediction. CoRR abs/2210.13795 (2022) - [i13]Chao Chen, Chenghua Guo, Guixiang Ma, Xi Zhang, Sihong Xie:
Robust Ranking Explanations. CoRR abs/2212.14106 (2022) - 2021
- [j3]Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu:
Deep graph similarity learning: a survey. Data Min. Knowl. Discov. 35(3): 688-725 (2021) - [j2]Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan:
CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning. Neural Networks 143: 669-677 (2021) - [c15]Guixiang Ma, Yao Xiao, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan, Nesreen K. Ahmed:
Learning Code Representations Using Multifractal-based Graph Networks. IEEE BigData 2021: 1858-1866 - [c14]Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie:
Self-learn to Explain Siamese Networks Robustly. ICDM 2021: 1018-1023 - [c13]Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan:
A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems. MLSys 2021 - [c12]Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha:
DistGNN: scalable distributed training for large-scale graph neural networks. SC 2021: 76 - [i12]Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha:
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks. CoRR abs/2104.06700 (2021) - [i11]Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia:
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. CoRR abs/2108.03809 (2021) - [i10]Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie:
Self-learn to Explain Siamese Networks Robustly. CoRR abs/2109.07371 (2021) - 2020
- [c11]Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie:
Robust Spammer Detection by Nash Reinforcement Learning. KDD 2020: 924-933 - [i9]Haoteng Tang, Guixiang Ma, Yurong Chen, Lei Guo, Wei Wang, Bo Zeng, Liang Zhan:
Adversarial Attack on Hierarchical Graph Pooling Neural Networks. CoRR abs/2005.11560 (2020) - [i8]Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie:
Robust Spammer Detection by Nash Reinforcement Learning. CoRR abs/2006.06069 (2020) - [i7]Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan:
A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems. CoRR abs/2010.04414 (2020) - [i6]Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan:
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning. CoRR abs/2012.05980 (2020)
2010 – 2019
- 2019
- [c10]Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin:
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. IEEE BigData 2019: 1163-1168 - [c9]Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu:
Deep Graph Similarity Learning for Brain Data Analysis. CIKM 2019: 2743-2751 - [i5]Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin:
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. CoRR abs/1911.03583 (2019) - [i4]Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu:
Deep Graph Similarity Learning: A Survey. CoRR abs/1912.11615 (2019) - 2018
- [c8]Shuaijun Ge, Guixiang Ma, Sihong Xie, Philip S. Yu:
Securing Behavior-based Opinion Spam Detection. IEEE BigData 2018: 112-117 - [i3]Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu:
Similarity Learning with Higher-Order Proximity for Brain Network Analysis. CoRR abs/1811.02662 (2018) - [i2]Shuaijun Ge, Guixiang Ma, Sihong Xie, Philip S. Yu:
Securing Behavior-based Opinion Spam Detection. CoRR abs/1811.03739 (2018) - 2017
- [c7]Guixiang Ma, Lifang He, Chun-Ta Lu, Weixiang Shao, Philip S. Yu, Alex D. Leow, Ann B. Ragin:
Multi-view Clustering with Graph Embedding for Connectome Analysis. CIKM 2017: 127-136 - [c6]Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin:
Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. ICDM 2017: 967-972 - [c5]Lifang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, LinLin Shen, Philip S. Yu, Ann B. Ragin:
Kernelized Support Tensor Machines. ICML 2017: 1442-1451 - [i1]Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin:
Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. CoRR abs/1709.03659 (2017) - 2016
- [c4]Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, Ann B. Ragin:
Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks. ECML/PKDD (1) 2016: 476-492 - [c3]Guixiang Ma, Lifang He, Chun-Ta Lu, Philip S. Yu, Linlin Shen, Ann B. Ragin:
Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification. SDM 2016: 819-827 - 2013
- [j1]Xu Liang, Youli Qu, Guixiang Ma:
Research on Contrastive Viewpoint Summarization for Opinionated Texts. J. Interconnect. Networks 14(3) (2013) - 2012
- [c2]Xu Liang, Youli Qu, Guixiang Ma:
Research on Extension LexRank in Summarization for Opinionated Texts. PDCAT 2012: 517-522 - 2010
- [c1]Yinbin Liu, Guixiang Ma:
Online Advertising Regulatory Resources Integration: A Framework Based on SOA. ICEE 2010: 2304-2307
Coauthor Index
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last updated on 2024-09-10 01:15 CEST by the dblp team
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