Renkun Ni

461 total citations
9 papers, 117 citations indexed

About

Renkun Ni is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Renkun Ni has authored 9 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Biomedical Engineering. Recurrent topics in Renkun Ni's work include Adversarial Robustness in Machine Learning (3 papers), Advanced Neural Network Applications (3 papers) and Neural Networks and Applications (2 papers). Renkun Ni is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Advanced Neural Network Applications (3 papers) and Neural Networks and Applications (2 papers). Renkun Ni collaborates with scholars based in United States, Switzerland and China. Renkun Ni's co-authors include Jianguo Li, Yinpeng Dong, Craig H. Meyer, Xue Feng, Joseph M. Hart, Quanquan Gu, Hang Su, Yurong Chen, Jun Zhu and Silvia S. Blemker and has published in prestigious journals such as International Journal of Computer Vision, The Journal of Strength and Conditioning Research and Journal of Medical Imaging.

In The Last Decade

Renkun Ni

8 papers receiving 114 citations

Peers

Countries citing papers authored by Renkun Ni

Since Specialization

Citations

This map shows the geographic impact of Renkun Ni'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 Renkun Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renkun Ni more than expected).

Fields of papers citing papers by Renkun Ni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renkun Ni. 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 Renkun Ni. The network helps show where Renkun Ni may publish in the future.

Co-authorship network of co-authors of Renkun Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Renkun Ni. A scholar is included among the top collaborators of Renkun Ni 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 Renkun Ni. Renkun Ni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	FedAQT: Accurate Quantized Training with Federated Learning 2024 ·Renkun Ni, Yonghui Xiao, (unknown), (unknown), Tom Goldstein, Ananda Theertha Suresh, Ignacio López Moreno, Mingqing Chen, Rajiv Mathews	0
2	Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints 2022 ·Amr Sharaf, Hal Daumé, Renkun Ni	5
3	WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic 2021 ·Repository for Publications and Research Data (ETH Zurich) ·Renkun Ni, (unknown), Oscar Castañeda, (unknown), Christoph Studer, Tom Goldstein	1
4	Data Augmentation for Meta-Learning 2020 ·arXiv (Cornell University) ·Renkun Ni, Micah Goldblum, Amr Sharaf, (unknown), Tom Goldstein	1
5	Stochastic Quantization for Learning Accurate Low-Bit Deep Neural Networks 2019 ·International Journal of Computer Vision ·Yinpeng Dong, Renkun Ni, Jianguo Li, Yurong Chen, Hang Su, Jun Zhu	17
6	Automatic segmentation of all lower limb muscles from high-resolution magnetic resonance imaging using a cascaded three-dimensional deep convolutional neural network 2019 ·Journal of Medical Imaging ·Renkun Ni, Craig H. Meyer, (unknown), Joseph M. Hart, Xue Feng	44
7	Quantitative Relationships Between Individual Lower-Limb Muscle Volumes and Jump and Sprint Performances of Basketball Players 2019 ·The Journal of Strength and Conditioning Research ·(unknown), (unknown), Renkun Ni, Craig H. Meyer, Joseph M. Hart, Silvia S. Blemker, Xue Feng	11
8	Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization 2017 ·Yinpeng Dong, Jianguo Li, Renkun Ni	28
9	Optimal Statistical and Computational Rates for One Bit Matrix Completion 2016 ·International Conference on Artificial Intelligence and Statistics ·Renkun Ni, Quanquan Gu	10

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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