| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
Comput. Commun.
|
| 2026 | J | jnl |
Comput. Secur.
|
| 2026 | J | jnl |
Comput. Mater. Continua
|
| 2025 | J | jnl |
Comput. Networks
|
| 2025 | J | jnl |
Comput. Commun.
|
| 2025 | J | jnl |
IEEE Commun. Mag.
|
| 2025 | J | jnl |
J. King Saud Univ. Comput. Inf. Sci.
|
| 2024 | J | jnl |
IEEE Netw.
|
| 2024 | J | jnl |
Comput. Networks
|
| 2024 | J | jnl |
Multi-resource interleaving for task scheduling in cloud-edge system by deep reinforcement learning.
Future Gener. Comput. Syst.
|
| 2024 | — | conf |
FMANO@SIGCOMM
|
| 2024 | — | conf |
FMANO@SIGCOMM
|
| 2023 | — | conf |
ICCT
|
| 2023 | J | jnl |
IET Networks
|
| 2023 | J | jnl |
Comput. Networks
|
| 2022 | J | jnl |
IEICE Trans. Inf. Syst.
|
| 2021 | J | jnl |
Secur. Commun. Networks
|
| 2021 | J | jnl |
Sci. China Inf. Sci.
|
| 2021 | J | jnl |
J. Netw. Comput. Appl.
|
| 2020 | — | conf |
NOF
|
| 2019 | J | jnl |
Sensors
|
| 2019 | — | conf |
WNGW@WNS3
|
| 2019 | J | jnl |
Multi-objective surrogate modeling for real-time energy-efficient station grouping in IEEE 802.11ah.
Pervasive Mob. Comput.
|
| 2019 | J | jnl |
IEEE Internet Things J.
|
| 2019 | — | — |
|
| 2019 | J | jnl |
Future Gener. Comput. Syst.
|
| 2018 | — | conf |
WNS3
|
| 2018 | C | conf |
WOWMOM
|
| 2018 | J | jnl |
Sensors
|
| 2018 | J | jnl |
Sensors
|
| 2017 | — | conf |
FAILSAFE@SenSys
|
| 2017 | B | conf |
GLOBECOM
|
| 2017 | J | jnl |
Sensors
|
| 2017 | Misc | conf |
SenSys
|
| 2016 | J | jnl |
Frontiers Inf. Technol. Electron. Eng.
|
| 2016 | C | conf |
WoWMoM
|
| 2016 | — | conf |
WNS3
|