Feihu Huang

596 total citations
24 papers, 275 citations indexed

About

Feihu Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Feihu Huang has authored 24 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Computational Mechanics. Recurrent topics in Feihu Huang's work include Stochastic Gradient Optimization Techniques (11 papers), Sparse and Compressive Sensing Techniques (6 papers) and Machine Learning and ELM (5 papers). Feihu Huang is often cited by papers focused on Stochastic Gradient Optimization Techniques (11 papers), Sparse and Compressive Sensing Techniques (6 papers) and Machine Learning and ELM (5 papers). Feihu Huang collaborates with scholars based in United States, China and Australia. Feihu Huang's co-authors include Heng Huang, Shangqian Gao, Songcan Chen, Weidong Cai, Jian Pei, Yanfu Zhang, Sheng-Jun Huang, Cheng Deng, Zhouyuan Huo and Zeyu Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Feihu Huang

23 papers receiving 272 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Feihu Huang United States 10 164 125 45 29 19 24 275
Justin Domke United States 9 128 0.8× 157 1.3× 25 0.6× 17 0.6× 11 0.6× 24 306
Samory Kpotufe United States 9 120 0.7× 70 0.6× 19 0.4× 32 1.1× 12 0.6× 26 217
Vassilis Kalofolias Switzerland 5 113 0.7× 72 0.6× 63 1.4× 18 0.6× 23 1.2× 6 207
Erhan Gökçay Türkiye 7 158 1.0× 111 0.9× 19 0.4× 30 1.0× 24 1.3× 15 292
Huidong Liu China 9 164 1.0× 176 1.4× 26 0.6× 15 0.5× 13 0.7× 21 312
Dongruo Zhou United States 6 150 0.9× 49 0.4× 48 1.1× 15 0.5× 5 0.3× 10 208
Donghui Wang China 6 146 0.9× 120 1.0× 35 0.8× 38 1.3× 7 0.4× 21 282

Countries citing papers authored by Feihu Huang

Since Specialization
Citations

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

Fields of papers citing papers by Feihu Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feihu Huang

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

All Works

20 of 20 papers shown
1.
Gao, Shangqian, Yanfu Zhang, Feihu Huang, & Heng Huang. (2024). BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks. 16090–16100. 4 indexed citations
2.
Huang, Feihu, Shangqian Gao, Jian Pei, & Heng Huang. (2024). Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity. IEEE Transactions on Pattern Analysis and Machine Intelligence. PP. 1–13. 1 indexed citations
3.
Su, Qian, et al.. (2023). Stability analysis of loose accumulation slopes under rainfall: case study of a high-speed railway in Southwest China. SHILAP Revista de lepidopterología. 32(1). 95–106. 4 indexed citations
4.
Zhang, Zhi‐Qiang, et al.. (2023). A study of BERT-based methods for formal citation identification of scientific data. Scientometrics. 128(11). 5865–5881. 3 indexed citations
5.
Gao, Shangqian, Zeyu Zhang, Yanfu Zhang, Feihu Huang, & Heng Huang. (2023). Structural Alignment for Network Pruning through Partial Regularization. 17356–17366. 8 indexed citations
6.
Huang, Feihu & Shangqian Gao. (2022). Riemannian gradient methods for stochastic composition problems. Neural Networks. 153. 224–234. 1 indexed citations
7.
8.
Huang, Feihu, et al.. (2022). Fast Stochastic Recursive Momentum Methods for Imbalanced Data Mining. 578–587. 4 indexed citations
9.
Gao, Shangqian, Feihu Huang, Weidong Cai, & Heng Huang. (2021). Network Pruning via Performance Maximization. 9266–9276. 74 indexed citations
10.
Huang, Feihu, et al.. (2021). Optimal Underdamped Langevin MCMC Method. Neural Information Processing Systems. 34. 1 indexed citations
11.
Huang, Feihu, et al.. (2021). A Faster Decentralized Algorithm for Nonconvex Minimax Problems. Neural Information Processing Systems. 34. 10 indexed citations
12.
Huang, Feihu, et al.. (2021). Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems. Neural Information Processing Systems. 34. 8 indexed citations
13.
Huang, Feihu, et al.. (2021). Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 35(12). 10405–10413. 8 indexed citations
14.
Huang, Feihu, Shangqian Gao, Jian Pei, & Heng Huang. (2020). Accelerated Zeroth-Order Momentum Methods from Mini to Minimax Optimization. 3 indexed citations
15.
Liang, Xue-Song, et al.. (2020). Hepatocellular carcinoma with worsened hypoglycemia after transarterial chemoembolization: a case report and systematic review.. International Journal of Clinical and Experimental Pathology. 13(12). 3167–3173. 5 indexed citations
16.
Huang, Feihu, Bin Gu, Zhouyuan Huo, Songcan Chen, & Heng Huang. (2019). Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 1503–1510. 12 indexed citations
17.
Huang, Feihu, Shangqian Gao, Songcan Chen, & Heng Huang. (2019). Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. 2549–2555. 12 indexed citations
18.
Huang, Feihu & Songcan Chen. (2017). Learning Dynamic Conditional Gaussian Graphical Models. IEEE Transactions on Knowledge and Data Engineering. 30(4). 703–716. 9 indexed citations
19.
Huang, Feihu, Songcan Chen, & Sheng-Jun Huang. (2017). Joint Estimation of Multiple Conditional Gaussian Graphical Models. IEEE Transactions on Neural Networks and Learning Systems. 29(7). 1–13. 13 indexed citations
20.
Huang, Feihu & Songcan Chen. (2015). Joint Learning of Multiple Sparse Matrix Gaussian Graphical Models. IEEE Transactions on Neural Networks and Learning Systems. 26(11). 2606–2620. 17 indexed citations

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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