Automated Author ProfileLiu, Kaibo
Peking University0009-0005-9302-4953
Liu, Kaibo
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.6 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This is TrickyBugs, a dataset of corner-case bugs in plausible programs. TrickyBugs contains 3,051 human-written buggy programs from 324 real-world competition coding tasks. Please read the README.md before using the dataset.
Authors
- Kaibo Liu
This is TrickyBugs, a dataset of corner-case bugs in plausible programs. TrickyBugs contains 3,051 human-written buggy programs from 324 real-world competition coding tasks. Please read the README.md before using the dataset.
Authors
- Kaibo Liu
This is TrickyBugs, the dataset of the ISSTA'23 paper entitled "Who Judges the Judge: An Empirical Study on Online Judge Tests". This dataset contains the detected false positive solutions (bugs) and the corresponding generated hack test inputs and hack test outputs in our paper. Read our paper for detailed information.
Authors
- Liu, Kaibo