All Publications

(2023). Decentralized Bayesian learning with Metropolis-adjusted Hamiltonian Monte Carlo. Machine Learning.
(2023). Reducing classifier overconfidence against adversaries through graph algorithms. Machine Learning.
(2023). Shedding Light on Darkness: Enhancing Object Detection Robustness with Synthetic Perturbations for Real-world Challenges. 2023 IEEE Conference on Artificial Intelligence.
(2023). Improving Object Detection Robustness against Natural Perturbations through Synthetic Data Augmentation. Proceedings of the 2023 Asia Conference on Computer Vision, Image Processing and Pattern Recognition.
(2023). Enhancing object detection robustness: A synthetic and natural perturbation approach. arXiv.
(2023). Enhancing Resilience in Mobile Edge Computing Under Processing Uncertainty. IEEE Journal on Selected Areas in Communications.
(2023). Adversarial Machine Learning: A New Threat Paradigm for Next-generation Wireless Communications. AI, Machine Learning and Deep Learning.
(2022). The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example. MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM).
(2022). Maximizing Energy Efficiency With Channel Uncertainty Under Mutual Interference. IEEE Transactions on Wireless Communications.