Quanming Yao
About
In The Last Decade
Quanming Yao
83 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Artificial Intelligence 2.5k
- Computer Vision and Pattern Recognition 1.5k
- Information Systems 624
- Media Technology 431
- Computational Mechanics 333
Countries citing papers authored by Quanming Yao
This map shows the geographic impact of Quanming Yao'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 Quanming Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quanming Yao more than expected).
Fields of papers citing papers by Quanming Yao
This network shows the impact of papers produced by Quanming Yao. 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 Quanming Yao. The network helps show where Quanming Yao may publish in the future.
Co-authorship network of co-authors of Quanming Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Quanming Yao. A scholar is included among the top collaborators of Quanming Yao 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 Quanming Yao. Quanming Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 19 | |
| 8 | 3 | |
| 9 | Progressive Feature Interaction Search for Deep Sparse Network | 3 |
| 10 | Efficient Backbone Search for Scene Text Recognition. | 7 |
| 11 | Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering | 1 |
| 12 | Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding | 2 |
| 13 | Differentiable Neural Architecture Search via Proximal Iterations. | 3 |
| 14 | Neural Recurrent Structure Search for Knowledge Graph Embedding. | 2 |
| 15 | Few-shot Learning: A Survey | 48 |
| 16 | Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations | 10 |
| 17 | Privacy-preserving Transfer Learning for Knowledge Sharing. | 3 |
| 18 | Scalable Tensor Completion with Nonconvex Regularization. | 2 |
| 19 | Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels breakdown → | 664 |
| 20 | Loss-aware Binarization of Deep Networks | 48 |
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.