| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
CoRR
|
| 2025 | B | conf |
GLOBECOM
|
| 2025 | J | jnl |
CoRR
|
| 2025 | A* | conf |
SODA
|
| 2025 | A* | conf |
ICDE
|
| 2025 | J | jnl |
Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference.
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | A | conf |
INTERSPEECH
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Biomed. Signal Process. Control.
|
| 2024 | — | conf |
ECCV (25)
|
| 2024 | J | jnl |
RLJ
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
Inf. Technol. Manag.
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems.
Mach. Learn. Sci. Technol.
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
Int. J. Commun. Networks Inf. Secur.
|
| 2024 | A | conf |
INTERSPEECH
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
Comput. Biol. Medicine
|
| 2024 | J | jnl |
Comput. Secur.
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
CoRR
|
| 2023 | C | conf |
ASRU
|
| 2023 | J | jnl |
Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems.
CoRR
|
| 2023 | J | jnl |
Sensors
|
| 2023 | J | jnl |
CoRR
|
| 2023 | — | conf |
ICANN (5)
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
Comput. Electron. Agric.
|
| 2023 | C | conf |
ICCC
|
| 2023 | — | conf |
ICMLCA
|
| 2022 | J | jnl |
Int. J. Inf. Comput. Secur.
|
| 2021 | J | jnl |
Inf.
|
| 2021 | — | conf |
HCI (39)
|
| 2021 | — | conf |
TAROS
|
| 2021 | J | jnl |
CoRR
|
| 2021 | J | jnl |
J. Sensors
|
| 2019 | J | jnl |
Sensors
|
| 2017 | — | conf |
IOV
|
| 2014 | C | conf |
ICCE
|