Mingrui Liu
- Artificial Intelligence
- Environmental Chemistry
- Computational Mechanics
- Health, Toxicology and Mutagenesis
- Computer Vision and Pattern Recognition
- Co-authors
- Tianbao YangQihang LinGuoao LiPaul H. FallgrenLiang ChenYe YaoSong JinJie Hou
- Topics
- Stochastic Gradient Optimization Techniques (5 papers)Sparse and Compressive Sensing Techniques (4 papers)Privacy-Preserving Technologies in Data (4 papers)
- Journals
- ChemosphereThe Journal of the Acoustical Society of AmericaThe Journal of Organic Chemistry
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Mingrui Liu
23 papers receiving 147 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 52
- Environmental Chemistry 29
- Computational Mechanics 24
- Health, Toxicology and Mutagenesis 21
- Computer Vision and Pattern Recognition 19
Countries citing papers authored by Mingrui Liu
This map shows the geographic impact of Mingrui Liu'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 Mingrui Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingrui Liu more than expected).
Fields of papers citing papers by Mingrui Liu
This network shows the impact of papers produced by Mingrui Liu. 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 Mingrui Liu. The network helps show where Mingrui Liu may publish in the future.
Co-authorship network of co-authors of Mingrui Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Mingrui Liu. A scholar is included among the top collaborators of Mingrui Liu 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 Mingrui Liu. Mingrui Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | Generalization Guarantee of SGD for Pairwise Learning | 9 |
| 11 | 42 | |
| 12 | 1 | |
| 13 | Stochastic AUC Maximization with Deep Neural Networks | 2 |
| 14 | Improved Schemes for Episodic Memory-based Lifelong Learning | 4 |
| 15 | Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks | 1 |
| 16 | 9 | |
| 17 | Attacking Lifelong Learning Models with Gradient Reversion | 2 |
| 18 | 5 | |
| 19 | Faster online learning of optimal threshold for consistent F-measure optimization | 2 |
| 20 | No More Fixed Penalty Parameter in ADMM: Faster Convergence with New Adaptive Penalization | 0 |
About Mingrui Liu
Mingrui Liu is a scholar working on Forestry, Artificial Intelligence and Nature and Landscape Conservation, having authored 27 papers that have together received 149 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Environmental Chemistry (29 citations), Numerical Analysis (10 citations) and Artificial Intelligence (52 citations). Mingrui Liu has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Tianbao Yang, Qihang Lin, Guoao Li, Paul H. Fallgren, Liang Chen, Ye Yao, Song Jin, Jie Hou, Yiming Ying and Yunwen Lei. Their work appears in journals such as Chemosphere, The Journal of the Acoustical Society of America and The Journal of Organic Chemistry.
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.