Online Advertising Regulatory Resources Integration: A Framework Based on SOA. - Yinbin Liu; Guixiang Ma (ICEE, 2010)

Research on Extension LexRank in Summarization for Opinionated Texts. - Xu Liang; Youli Qu; Guixiang Ma (PDCAT, 2012)

Research on Contrastive Viewpoint Summarization for Opinionated Texts. - Xu Liang; Youli Qu; Guixiang Ma (J. Interconnect. Networks, 2013)

Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks. - Guixiang Ma; Lifang He 001; Bokai Cao; Jiawei Zhang 001; Philip S. Yu; Ann B. Ragin (ECML/PKDD (1), 2016)

Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification. - Guixiang Ma; Lifang He 001; Chun-Ta Lu; Philip S. Yu; Linlin Shen; Ann B. Ragin (SDM, 2016)

Multi-view Clustering with Graph Embedding for Connectome Analysis. - Guixiang Ma; Lifang He 001; Chun-Ta Lu; Weixiang Shao; Philip S. Yu; Alex D. Leow; Ann B. Ragin (CIKM, 2017)

Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. - Guixiang Ma; Chun-Ta Lu; Lifang He 001; Philip S. Yu; Ann B. Ragin (ICDM, 2017)

Kernelized Support Tensor Machines. - Lifang He 001; Chun-Ta Lu; Guixiang Ma; Shen Wang 005; LinLin Shen; Philip S. Yu; Ann B. Ragin (ICML, 2017)

Securing Behavior-based Opinion Spam Detection. - Shuaijun Ge; Guixiang Ma; Sihong Xie; Philip S. Yu (IEEE BigData, 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)

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 (IEEE BigData, 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 (CIKM, 2019)

Robust Spammer Detection by Nash Reinforcement Learning. - Yingtong Dou; Guixiang Ma; Philip S. Yu; Sihong Xie (KDD, 2020)

Adversarial Attack on Hierarchical Graph Pooling Neural Networks. - Haoteng Tang; Guixiang Ma; Yurong Chen 004; Lei Guo 028; Wei Wang; Bo Zeng; Liang Zhan (CoRR, 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)

Learning Code Representations Using Multifractal-based Graph Networks. - Guixiang Ma; Yao Xiao; Mihai Capota; Theodore L. Willke; Shahin Nazarian; Paul Bogdan; Nesreen K. Ahmed (IEEE BigData, 2021)

Self-learn to Explain Siamese Networks Robustly. - Chao Chen; Yifan Shen; Guixiang Ma; Xiangnan Kong; Srinivas Rangarajan; Xi Zhang 008; Sihong Xie (ICDM, 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 (MLSys, 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 (SC, 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 001 (CoRR, 2021)

Deep graph similarity learning: a survey. - Guixiang Ma; Nesreen K. Ahmed; Theodore L. Willke; Philip S. Yu (Data Min. Knowl. Discov., 2021)

CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning. - Haoteng Tang; Guixiang Ma; Lifang He 001; Heng Huang; Liang Zhan (Neural Networks, 2021)

Explainable Survival Analysis with Convolution-Involved Vision Transformer. - Yifan Shen; Li Liu; Zhihao Tang 002; Zongyi Chen; Guixiang Ma; Jiyan Dong; Xi Zhang 008; Lin Yang; Qingfeng Zheng (AAAI, 2022)

DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media. - Mengzhu Sun; Xi Zhang 008; Jiaqi Zheng 006; Guixiang Ma (AAAI, 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)

Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. - Haoteng Tang; Guixiang Ma; Lei Guo 028; Xiyao Fu; Heng Huang; Liang Zhang (CoRR, 2022)

Memory-Augmented Graph Neural Networks: A Neuroscience Perspective. - Guixiang Ma; Vy A. Vo; Theodore L. Willke; Nesreen K. Ahmed (CoRR, 2022)

Robust Ranking Explanations. - Chao Chen; Chenghua Guo; Guixiang Ma; Xi Zhang 008; Sihong Xie (CoRR, 2022)

Augmenting Recurrent Graph Neural Networks with a Cache. - Guixiang Ma; Vy A. Vo; Theodore L. Willke; Nesreen K. Ahmed (KDD, 2023)

Community-Enhanced Contrastive Siamese Networks for Graph Representation Learning. - Yafang Li; Wenbo Wang; Guixiang Ma; Baokai Zu (KSEM (1), 2023)

Robust Ranking Explanations. - Chao Chen; Chenghua Guo; Guixiang Ma; Ming Zeng; Xi Zhang 008; Sihong Xie (CoRR, 2023)

Leveraging Reinforcement Learning and Large Language Models for Code Optimization. - Shukai Duan 002; Nikos Kanakaris; Xiongye Xiao; Heng Ping; Chenyu Zhou; Nesreen K. Ahmed; Guixiang Ma; Mihai Capota; Theodore L. Willke; Shahin Nazarian; Paul Bogdan (CoRR, 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 001; Heng Huang; Liang Zhan; Yong Xia 001 (Comput. Biol. Medicine, 2023)

MolHF: Molecular Heterogeneous Attributes Fusion for Drug-Target Affinity Prediction on Heterogeneity. - Runze Wang; Zehua Zhang; Yueqin Zhang; Zhongyuan Jiang; Shilin Sun 001; Guixiang Ma (IEICE Trans. Inf. Syst., 2023)

Line graph contrastive learning for link prediction. - Zehua Zhang; Shilin Sun 001; Guixiang Ma; Caiming Zhong (Pattern Recognit., 2023)

Explainable survival analysis with uncertainty using convolution-involved vision transformer. - Zhihao Tang 002; Li Liu; Yifan Shen; Zongyi Chen; Guixiang Ma; Jiyan Dong; Xujie Sun; Xi Zhang 008; Chaozhuo Li; Qingfeng Zheng; Lin Yang (Comput. Medical Imaging Graph., 2023)

Training for Stable Explanation for Free. - Chao Chen; Chenghua Guo; Rufeng Chen; Guixiang Ma; Ming Zeng; Xiangwen Liao; Xi Zhang 008; Sihong Xie (NeurIPS, 2024)

A Structure-Aware Framework for Learning Device Placements on Computation Graphs. - Shukai Duan 002; Heng Ping; Nikos Kanakaris; Xiongye Xiao; Panagiotis Kyriakis; Nesreen K. Ahmed; Peiyu Zhang 002; Guixiang Ma; Mihai Capota; Shahin Nazarian; Theodore L. Willke; Paul Bogdan (NeurIPS, 2024)

Personalized recommendation via inductive spatiotemporal graph neural network. - Jibing Gong; Yi Zhao; Jinye Zhao; Jin Zhang 040; Guixiang Ma; Shaojie Zheng; Shuying Du; Jie Tang 001 (Pattern Recognit., 2024)

Memory-Augmented Graph Neural Networks: A Brain-Inspired Review. - Guixiang Ma; Vy A. Vo; Theodore L. Willke; Nesreen K. Ahmed (IEEE Trans. Artif. Intell., 2024)

Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. - Haoteng Tang; Guixiang Ma; Lei Guo 028; Xiyao Fu; Heng Huang; Liang Zhan (IEEE Trans. Neural Networks Learn. Syst., 2024)