User profiles for Zhiqun Hu

Zhiqun Hu

Beijing University of Posts and Telecommunications
Verified email at bupt.edu.cn
Cited by 723

Raindrop size distribution measurements at 4,500 m on the Tibetan Plateau during TIPEX‐III

B Chen, Z Hu, L Liu, G Zhang - Journal of Geophysical …, 2017 - Wiley Online Library
As part of the third Tibetan Plateau Atmospheric Scientific Experiment field campaign, raindrop
size distribution (DSD) measurements were taken with a laser optical disdrometer in Naqu…

The southern China monsoon rainfall experiment (SCMREX)

…, Q Wan, B Wang, WK Wong, Z Hu… - Bulletin of the …, 2017 - journals.ametsoc.org
During the presummer rainy season (April–June), southern China often experiences frequent
occurrences of extreme rainfall, leading to severe flooding and inundations. To expedite …

AIF: An artificial intelligence framework for smart wireless network management

G Cao, Z Lu, X Wen, T Lei, Z Hu - IEEE Communications …, 2017 - ieeexplore.ieee.org
To solve the policy optimizing problem in many scenarios of smart wireless network management
using a single universal algorithm, this letter proposes a universal learning framework, …

Network-scale traffic signal control via multiagent reinforcement learning with deep spatiotemporal attentive network

H Huang, Z Hu, Z Lu, X Wen - IEEE transactions on cybernetics, 2021 - ieeexplore.ieee.org
The continuous development of intelligent traffic control systems has a profound influence on
urban traffic planning and traffic management. Indeed, as big data and artificial intelligence …

Energy efficient 3-D UAV control for persistent communication service and fairness: A deep reinforcement learning approach

H Qi, Z Hu, H Huang, X Wen, Z Lu - IEEE Access, 2020 - ieeexplore.ieee.org
Recently, unmanned aerial vehicles (UAVs) as flying wireless communication platform have
attracted much attention. Benefiting from the mobility, UAV aerial base stations can be …

Cooperative optimization of traffic signals and vehicle speed using a novel multi-agent deep reinforcement learning

H Huang, Z Hu, M Li, Z Lu, X Wen - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Using wireless communication and sensor detection technologies, the cooperative vehicle
infrastructure system (CVIS) can acquire a wealth of vehicle and road information to provide …

The Tibetan Plateau surface-atmosphere coupling system and its weather and climate effects: The Third Tibetan Plateau Atmospheric Science Experiment

…, D Chen, Y Pang, Z Hu, S Zhang, L Dong, J Hu… - Journal of …, 2019 - Springer
The Tibetan Plateau (TP) is a key area affecting forecasts of weather and climate in China
and occurrences of extreme weather and climate events over the world. The China …

Minimizing data collection time with collaborative UAVs in wireless sensor networks

Y Wang, Z Hu, X Wen, Z Lu, J Miao - IEEE Access, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) data collection is a promising research direction that can be
applied to many practical scenarios. Due to the limited energy of sensors in wireless sensor …

Recent progress in dual-polarization radar research and applications in China

…, G Zhang, M Xue, Z Yang, L Liu, C Wu, Z Hu… - … in Atmospheric Sciences, 2019 - Springer
Dual-polarization (dual-pol) radar can measure additional parameters that provide more
microphysical information of precipitation systems than those provided by conventional Doppler …

Train a central traffic prediction model using local data: A spatio-temporal network based on federated learning

H Huang, Z Hu, Y Wang, Z Lu, X Wen, B Fu - Engineering Applications of …, 2023 - Elsevier
With the growing complexity of onboard sensors and the widespread deployment of road
sensors, deep learning enables fine-grained traffic prediction using massive amounts of raw …