| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
CoRR
|
| 2026 | — | conf |
KDD (1)
|
| 2026 | A* | conf |
AAAI
|
| 2026 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
IEEE Trans. Pattern Anal. Mach. Intell.
|
| 2025 | A* | conf |
ICLR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Comput. Environ. Urban Syst.
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | — | conf |
WWW (Companion Volume)
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | — | conf |
EMNLP (Findings)
|
| 2025 | — | conf |
SIGSPATIAL/GIS
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
IEEE Trans. Intell. Transp. Syst.
|
| 2024 | — | conf |
SIGSPATIAL/GIS
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks.
IEEE Trans. Intell. Transp. Syst.
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
CoRR
|
| 2023 | — | conf |
ITSC
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks.
CoRR
|
| 2022 | J | jnl |
IEEE Trans. Intell. Transp. Syst.
|
| 2022 | J | jnl |
Multim. Tools Appl.
|
| 2022 | A* | conf |
KDD
|
| 2022 | J | jnl |
CoRR
|
| 2021 | J | jnl |
CoRR
|
| 2021 | J | jnl |
CoRR
|
| 2021 | J | jnl |
CoRR
|
| 2021 | J | jnl |
CoRR
|
| 2020 | J | jnl |
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks.
CoRR
|
| 2019 | J | jnl |
CoRR
|
| 2019 | J | jnl |
CoRR
|
| 2018 | J | jnl |
CoRR
|