Xinyun Chen
About
In The Last Decade
Xinyun Chen
37 papers receiving 603 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 455
- Computer Vision and Pattern Recognition 106
- Information Systems 105
- Signal Processing 100
- Computer Networks and Communications 84
Countries citing papers authored by Xinyun Chen
This map shows the geographic impact of Xinyun Chen'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 Xinyun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyun Chen more than expected).
Fields of papers citing papers by Xinyun Chen
This network shows the impact of papers produced by Xinyun Chen. 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 Xinyun Chen. The network helps show where Xinyun Chen may publish in the future.
Co-authorship network of co-authors of Xinyun Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Xinyun Chen. A scholar is included among the top collaborators of Xinyun Chen 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 Xinyun Chen. Xinyun Chen 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 | 0 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs | 20 |
| 6 | 29 | |
| 7 | 36 | |
| 8 | 6 | |
| 9 | Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing | 5 |
| 10 | Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis | 1 |
| 11 | Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension | 40 |
| 12 | Learning to Perform Local Rewriting for Combinatorial Optimization | 27 |
| 13 | Coda: An End-to-End Neural Program Decompiler | 7 |
| 14 | Towards Synthesizing Complex Programs From Input-Output Examples | 5 |
| 15 | Execution-Guided Neural Program Synthesis. | 20 |
| 16 | Learning to Progressively Plan. | 3 |
| 17 | Can you fool AI with adversarial examples on a visual Turing test | 13 |
| 18 | Learning Neural Programs To Parse Programs. | 3 |
| 19 | Latent Attention For If-Then Program Synthesis | 16 |
| 20 | An End-to-End Approach for Natural Language to IFTTT Program Translation | 1 |
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.