Zihang Dai
About
In The Last Decade
Zihang Dai
41 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Artificial Intelligence 773
- Computer Vision and Pattern Recognition 482
- Civil and Structural Engineering 189
- Safety, Risk, Reliability and Quality 72
- Radiology, Nuclear Medicine and Imaging 72
Countries citing papers authored by Zihang Dai
This map shows the geographic impact of Zihang Dai'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 Zihang Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zihang Dai more than expected).
Fields of papers citing papers by Zihang Dai
This network shows the impact of papers produced by Zihang Dai. 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 Zihang Dai. The network helps show where Zihang Dai may publish in the future.
Co-authorship network of co-authors of Zihang Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Zihang Dai. A scholar is included among the top collaborators of Zihang Dai 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 Zihang Dai. Zihang Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | CoAtNet: Marrying Convolution and Attention for All Data Sizes | 1 |
| 2 | Meta Pseudo Labels breakdown → | 289 |
| 3 | Searching for Efficient Transformers for Language Modeling | 20 |
| 4 | Wiki-40B: Multilingual Language Model Dataset | 24 |
| 5 | Unsupervised Data Augmentation for Consistency Training | 77 |
| 6 | 4 | |
| 7 | Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing | 17 |
| 8 | A Mutual Information Maximization Perspective of Language Representation Learning | 18 |
| 9 | Re-examination of the Role of Latent Variables in Sequence Modeling | 1 |
| 10 | Unsupervised Data Augmentation | 67 |
| 11 | 38 | |
| 12 | Good Semi-supervised Learning That Requires a Bad GAN | 85 |
| 13 | 1 | |
| 14 | 7 | |
| 15 | ANALYSIS OF SLOPE STABILITY UNDER SEEPAGE BY USING ABAQUS PROGRAM | 10 |
| 16 | Stability analysis on jointed rock slope using ABAQUS program | 1 |
| 17 | Study of p-y curve method for computing laterally loaded piles under horizontally distributed loads | 1 |
| 18 | Back-analysis of indexes of shearing strength of slip zone with multi-sections | 0 |
| 19 | Finite element analysis of functions of cushion of cement flyash gravel pile composite foundation | 0 |
| 20 | Simplified form and applications of Mohr-Coulomb equivalent area circle yield criterion | 2 |
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.