Applying Collaborative Online Active Learning in Vehicular Networks for Future Connected and Autonomous Vehicles.
PhD thesis, 2022
Cooperative Task-Oriented Group Formation for Vehicular Networks.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
MultiVTrain: Collaborative Multi-View Active Learning for Segmentation in Connected Vehicles.
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021
Mitigating the Effect of Dataset Bias on Training Deep Models for Chest X-rays.
CoRR, 2019
A Byzantine-Tolerant Distributed Consensus Algorithm for Connected Vehicles Using Proof-of-Eligibility.
Proceedings of the 22nd International ACM Conference on Modeling, 2019