1 citations · 3 across the 9 of their papers we have counts for
9 papers
VikPath: A Vision Kansformer Framework for Effective Obstacle Avoidance in Self-Supervised Pathfinding
Junyao Wang, Yulin Xu, Mohammad Abdullah Al Faruque
Pathfinding is a fundamental problem in artificial intelligence and autonomous systems. Traditional heuristic-based algorithms, such as A*, rely on predefined heuristic functions t…
CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving
Junyao Wang, Yulin Xu, Yu Li +2
Modern autonomous vehicles are equipped with multiple sensors, such as cameras, LiDAR, and radar, for comprehensive environmental perception. However, robust cross-modal feature fu…
Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception
Luke Chen, Junyao Wang, Trier Mortlock +2
Uncertainty Quantification (UQ) is crucial for ensuring the reliability of machine learning models deployed in real-world autonomous systems. However, existing approaches typically…
Transformer-Based Contrastive Meta-Learning For Low-Resource Generalizable Activity Recognition
Junyao Wang, Mohammad Abdullah Al Faruque
Deep learning has been widely adopted for human activity recognition (HAR) while generalizing a trained model across diverse users and scenarios remains challenging due to distribu…
SMORE: Similarity-based Hyperdimensional Domain Adaptation for Multi-Sensor Time Series Classification
Junyao Wang, Mohammad Abdullah Al Faruque
Many real-world applications of the Internet of Things (IoT) employ machine learning (ML) algorithms to analyze time series information collected by interconnected sensors. However…
Robust and Scalable Hyperdimensional Computing With Brain-Like Neural Adaptations
Junyao Wang, Mohammad Abdullah Al Faruque
The Internet of Things (IoT) has facilitated many applications utilizing edge-based machine learning (ML) methods to analyze locally collected data. Unfortunately, popular ML algor…
DOMINO: Domain-invariant Hyperdimensional Classification for Multi-Sensor Time Series Data
Junyao Wang, Luke Chen, Mohammad Abdullah Al Faruque
With the rapid evolution of the Internet of Things, many real-world applications utilize heterogeneously connected sensors to capture time-series information. Edge-based machine le…
Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection
Junyao Wang, Hanning Chen, Mariam Issa +2
Cybersecurity has emerged as a critical challenge for the industry. With the large complexity of the security landscape, sophisticated and costly deep learning models often fail to…
DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification
Junyao Wang, Sitao Huang, Mohsen Imani
Brain-inspired hyperdimensional computing (HDC) has been recently considered a promising learning approach for resource-constrained devices. However, existing approaches use static…