Lingxiao Ma

862 citations

16 papers · 349 indexed · h-index 11

Artificial Intelligence top 5%
Computer Vision and Pattern Recognition top 5%
Hardware and Architecture top 10%
Computer Networks and Communications top 10%
Electrical and Electronic Engineering

Co-authors: Zhi Yang Jilong Xue Youshan Miao Yafei Dai Lidong Zhou Lintao Zhang Bin Cui Ming Wu
Topics: Advanced Neural Network Applications (7 papers)Parallel Computing and Optimization Techniques (6 papers)Graph Theory and Algorithms (6 papers)
Cited by: Computational Mathematics Hardware and Architecture Computer Vision and Pattern Recognition
Journals: IEEE Transactions on Knowledge and Data Engineering IEEE Computer Architecture LettersProceedings of the ACM on Management of Data
Partner nations: China United Kingdom United States

In The Last Decade

Lingxiao Ma

14 papers receiving 343 citations

Peers

Countries citing papers authored by Lingxiao Ma

Since Specialization

Citations

This map shows the geographic impact of Lingxiao Ma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lingxiao Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingxiao Ma more than expected).

Fields of papers citing papers by Lingxiao Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lingxiao Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lingxiao Ma. The network helps show where Lingxiao Ma may publish in the future.

Co-authorship network of co-authors of Lingxiao Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Lingxiao Ma. A scholar is included among the top collaborators of Lingxiao Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lingxiao Ma. Lingxiao Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	LUT Tensor Core: A Software-Hardware Co-Design for LUT-Based Low-Bit LLM Inference 2025 ·(unknown),(unknown),(unknown),(unknown),(unknown),Lingxiao Ma,Naifeng Jing,Ting Cao,(unknown),Fan Yang,Mao Yang	0
2	NeuStream: Bridging Deep Learning Serving and Stream Processing 2025 ·(unknown),(unknown),(unknown),Yu Cheng,(unknown),Lingxiao Ma,(unknown),Zhi Yang	0
3	T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge 2025 ·(unknown),(unknown),Ting Cao,Lingxiao Ma,(unknown),Yanyong Zhang,Mao Yang	3
4	ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores 2024 ·Yuetao Chen,(unknown),(unknown),(unknown),(unknown),Lingxiao Ma,Liang Yuan,(unknown),Ting Cao,Mao Yang	10
5	FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement 2023 ·Proceedings of the ACM on Management of Data ·(unknown),Xupeng Miao,(unknown),Zichao Yang,(unknown),Lingxiao Ma,(unknown),Bin Cui	17
6	PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation 2023 ·Ningxin Zheng,Huiqiang Jiang,Quanlu Zhang,Zhenhua Han,Lingxiao Ma,Yuqing Yang,Fan Yang,(unknown),(unknown),Mao Yang,Lidong Zhou	10
7	Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce 2021 ·Xupeng Miao,(unknown),Yingxia Shao,Zhi Yang,Jiawei Jiang,Lingxiao Ma,Bin Cui	46
8	Accelerating GNN training with locality-aware partial execution 2021 ·(unknown),Chang Ho Hwang,KyoungSoo Park,Zhiqi Lin,Peng Cheng,Youshan Miao,Lingxiao Ma,Yongqiang Xiong	10
9	CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract) 2021 ·Xupeng Miao,Lingxiao Ma,Zhi Yang,Yingxia Shao,Bin Cui,Lele Yu,Jiawei Jiang	2
10	PCGCN: Partition-Centric Processing for Accelerating Graph Convolutional Network 2020 ·Chao Tian,Lingxiao Ma,Zhi Yang,Yafei Dai	26
11	Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks 2020 ·Lingxiao Ma,Zhiqiang Xie,Zhi Yang,Jilong Xue,Youshan Miao,Wei Cui,Wenxiang Hu,Fan Yang,Lintao Zhang,Lidong Zhou	34
12	CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs 2020 ·IEEE Transactions on Knowledge and Data Engineering ·Xupeng Miao,Lingxiao Ma,Zhi Yang,Yingxia Shao,Bin Cui,Lele Yu,Jiawei Jiang	9
13	Architectural Implication of Graph Neural Networks 2020 ·IEEE Computer Architecture Letters ·Zhihui Zhang,Jingwen Leng,Lingxiao Ma,Youshan Miao,Chao Li,Minyi Guo	26
14	SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization 2019 ·Shi‐Jie Cao,Lingxiao Ma,Wencong Xiao,Chen Zhang,Yunxin Liu,Lintao Zhang,Lanshun Nie,Zhi Yang	50
15	NeuGraph: Parallel Deep Neural Network Computation on Large Graphs 2019 ·Lingxiao Ma,Zhi Yang,Youshan Miao,Jilong Xue,Ming Wu,Lidong Zhou,Yafei Dai	69
16	Garaph: efficient GPU-accelerated graph processing on a single machine with balanced replication 2017 ·Lingxiao Ma,Zhi Yang,Han Chen,Jilong Xue,Yafei Dai	37

About Lingxiao Ma

Lingxiao Ma is a scholar working on Computational Mathematics, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 349 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Parallel Computing and Optimization Techniques (6 papers) and Graph Theory and Algorithms (6 papers). The work is most often cited by research in Computational Mathematics (14 citations), Hardware and Architecture (73 citations) and Computer Vision and Pattern Recognition (219 citations). Lingxiao Ma has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zhi Yang, Jilong Xue, Youshan Miao, Yafei Dai, Lidong Zhou, Lintao Zhang, Bin Cui, Zhi Yang, Ming Wu and Xupeng Miao. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Architecture Letters and Proceedings of the ACM on Management of Data.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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