Guixiang Ma - RankMe

51 papers A* 9A 4C 1Journal 30Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	A Structure-Aware Framework for Learning Device Placements on Computation Graphs. NeurIPS Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Panagiotis Kyriakis, Nesreen K. Ahmed, Peiyu Zhang, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan
2024	J	`jnl`	A structure-aware framework for learning device placements on computation graphs. CoRR 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
2024	J	`jnl`	Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. IEEE Trans. Neural Networks Learn. Syst. Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhan
2024	J	`jnl`	Memory-Augmented Graph Neural Networks: A Brain-Inspired Review. IEEE Trans. Artif. Intell. Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
2024	J	`jnl`	Personalized recommendation via inductive spatiotemporal graph neural network. Pattern Recognit. Jibing Gong, Yi Zhao, Jinye Zhao, Jin Zhang, Guixiang Ma, Shaojie Zheng, Shuying Du, Jie Tang
2024	A*	`conf`	Training for Stable Explanation for Free. NeurIPS Chao Chen, Chenghua Guo, Rufeng Chen, Guixiang Ma, Ming Zeng, Xiangwen Liao, Xi Zhang, Sihong Xie
2023	J	`jnl`	A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. Comput. Biol. Medicine Haozhe Jia, Haoteng Tang, Guixiang Ma, Weidong Cai, Heng Huang, Liang Zhan, Yong Xia
2023	A*	`conf`	Augmenting Recurrent Graph Neural Networks with a Cache. KDD Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
2023	—	`conf`	Community-Enhanced Contrastive Siamese Networks for Graph Representation Learning. KSEM (1) Yafang Li, Wenbo Wang, Guixiang Ma, Baokai Zu
2023	J	`jnl`	Explainable survival analysis with uncertainty using convolution-involved vision transformer. Comput. Medical Imaging Graph. Zhihao Tang, Li Liu, Yifan Shen, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xujie Sun, Xi Zhang, Chaozhuo Li, Qingfeng Zheng, Lin Yang
2023	J	`jnl`	Leveraging Reinforcement Learning and Large Language Models for Code Optimization. CoRR Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan
2023	J	`jnl`	Line graph contrastive learning for link prediction. Pattern Recognit. Zehua Zhang, Shilin Sun, Guixiang Ma, Caiming Zhong
2023	J	`jnl`	MolHF: Molecular Heterogeneous Attributes Fusion for Drug-Target Affinity Prediction on Heterogeneity. IEICE Trans. Inf. Syst. Runze Wang, Zehua Zhang, Yueqin Zhang, Zhongyuan Jiang, Shilin Sun, Guixiang Ma
2023	J	`jnl`	Robust Ranking Explanations. CoRR Chao Chen, Chenghua Guo, Guixiang Ma, Ming Zeng, Xi Zhang, Sihong Xie
2022	J	`jnl`	Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. CoRR Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhan
2022	A*	`conf`	DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media. AAAI Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma
2022	J	`jnl`	End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning. CoRR Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan
2022	A*	`conf`	Explainable Survival Analysis with Convolution-Involved Vision Transformer. AAAI Yifan Shen, Li Liu, Zhihao Tang, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xi Zhang, Lin Yang, Qingfeng Zheng
2022	J	`jnl`	Line Graph Contrastive Learning for Link Prediction. CoRR Zehua Zhang, Shilin Sun, Guixiang Ma, Caiming Zhong
2022	J	`jnl`	Memory-Augmented Graph Neural Networks: A Neuroscience Perspective. CoRR Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
2022	J	`jnl`	Robust Ranking Explanations. CoRR Chao Chen, Chenghua Guo, Guixiang Ma, Xi Zhang, Sihong Xie
2021	—	`conf`	A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems. MLSys Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan
2021	J	`jnl`	CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning. Neural Networks Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan
2021	J	`jnl`	Deep graph similarity learning: a survey. Data Min. Knowl. Discov. Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu
2021	J	`jnl`	DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks. CoRR Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha
2021	A	`conf`	DistGNN: scalable distributed training for large-scale graph neural networks. SC Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha
2021	—	`conf`	Learning Code Representations Using Multifractal-based Graph Networks. IEEE BigData Guixiang Ma, Yao Xiao, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan, Nesreen K. Ahmed
2021	J	`jnl`	PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. CoRR Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia
2021	A*	`conf`	Self-learn to Explain Siamese Networks Robustly. ICDM Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie
2021	J	`jnl`	Self-learn to Explain Siamese Networks Robustly. CoRR Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie
2020	J	`jnl`	A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems. CoRR Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan
2020	J	`jnl`	Adversarial Attack on Hierarchical Graph Pooling Neural Networks. CoRR Haoteng Tang, Guixiang Ma, Yurong Chen, Lei Guo, Wei Wang, Bo Zeng, Liang Zhan
2020	J	`jnl`	CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning. CoRR Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan
2020	A*	`conf`	Robust Spammer Detection by Nash Reinforcement Learning. KDD Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie
2020	J	`jnl`	Robust Spammer Detection by Nash Reinforcement Learning. CoRR Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie
2019	—	`conf`	Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. IEEE BigData Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
2019	J	`jnl`	Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. CoRR Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
2019	A	`conf`	Deep Graph Similarity Learning for Brain Data Analysis. CIKM Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu
2019	J	`jnl`	Deep Graph Similarity Learning: A Survey. CoRR Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu
2018	—	`conf`	Securing Behavior-based Opinion Spam Detection. IEEE BigData Shuaijun Ge, Guixiang Ma, Sihong Xie, Philip S. Yu
2018	J	`jnl`	Securing Behavior-based Opinion Spam Detection. CoRR Shuaijun Ge, Guixiang Ma, Sihong Xie, Philip S. Yu
2018	J	`jnl`	Similarity Learning with Higher-Order Proximity for Brain Network Analysis. CoRR Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu
2017	A*	`conf`	Kernelized Support Tensor Machines. ICML Lifang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin
2017	A	`conf`	Multi-view Clustering with Graph Embedding for Connectome Analysis. CIKM Guixiang Ma, Lifang He, Chun-Ta Lu, Weixiang Shao, Philip S. Yu, Alex D. Leow, Ann B. Ragin
2017	A*	`conf`	Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. ICDM Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin
2017	J	`jnl`	Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. CoRR Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin
2016	—	`conf`	Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks. ECML/PKDD (1) Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, Ann B. Ragin
2016	A	`conf`	Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification. SDM Guixiang Ma, Lifang He, Chun-Ta Lu, Philip S. Yu, Linlin Shen, Ann B. Ragin
2013	J	`jnl`	Research on Contrastive Viewpoint Summarization for Opinionated Texts. J. Interconnect. Networks Xu Liang, Youli Qu, Guixiang Ma
2012	C	`conf`	Research on Extension LexRank in Summarization for Opinionated Texts. PDCAT Xu Liang, Youli Qu, Guixiang Ma
2010	—	`conf`	Online Advertising Regulatory Resources Integration: A Framework Based on SOA. ICEE Yinbin Liu, Guixiang Ma