Jialu Bao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
5
Active years
2020–2024
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | FSCD | A Categorical Approach to DIBI Models. | Tao Gu, Jialu Bao, Justin Hsu, Alexandra Silva, Fabio Zanasi |
| 2023 | IJCAI | Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract). | Jialu Bao, Nitesh Trivedi, Drashti Pathak, Justin Hsu, Subhajit Roy |
| 2022 | CAV | Data-Driven Invariant Learning for Probabilistic Programs. | Jialu Bao, Nitesh Trivedi, Drashti Pathak, Justin Hsu, Subhajit Roy |
| 2021 | LICS | A Bunched Logic for Conditional Independence. | Jialu Bao, Simon Docherty, Justin Hsu, Alexandra Silva |
| 2020 | TAMC | Hidden Community Detection on Two-Layer Stochastic Models: A Theoretical Perspective. | Jialu Bao, Kun He, Xiaodong Xin, Bart Selman, John E. Hopcroft |