4 citations · 4 across the 2 of their papers we have counts for
6 papers
Multi-Modal Sensing and Fusion in mmWave Beamforming for Connected Vehicles: A Transformer Based Framework
Muhammad Baqer Mollah, Honggang Wang, Mohammad Ataul Karim +1
Millimeter wave (mmWave) communication, utilizing beamforming techniques to address the inherent path loss limitation, is considered as one of the key technologies to support ever…
Evaluating Vulnerabilities of Connected Vehicles Under Cyber Attacks by Attack-Defense Tree
Muhammad Baqer Mollah, Honggang Wang, Hua Fang
Connected vehicles represent a key enabler of intelligent transportation systems, where vehicles are equipped with advanced communication, sensing, and computing technologies to in…
Impute-MACFM: Imputation based on Mask-Aware Flow Matching
Dengyi Liu, Honggang Wang, Hua Fang
Tabular data are central to many applications, especially longitudinal data in healthcare, where missing values are common, undermining model fidelity and reliability. Prior imputa…
Multi-Modal Sensing Aided mmWave Beamforming for V2V Communications with Transformers
Muhammad Baqer Mollah, Honggang Wang, Hua Fang
Beamforming techniques are utilized in millimeter wave (mmWave) communication to address the inherent path loss limitation, thereby establishing and maintaining reliable connection…
Multi-Modality Sensing in mmWave Beamforming for Connected Vehicles Using Deep Learning
Muhammad Baqer Mollah, Honggang Wang, Mohammad Ataul Karim +1
Beamforming techniques are considered as essential parts to compensate severe path losses in millimeter-wave (mmWave) communications. In particular, these techniques adopt large an…
Position Aware 60 GHz mmWave Beamforming for V2V Communications Utilizing Deep Learning
Muhammad Baqer Mollah, Honggang Wang, Hua Fang
Beamforming techniques are considered as essential parts to compensate the severe path loss in millimeter-wave (mmWave) communications by adopting large antenna arrays and formulat…