For more detailed publication records, please refer to my Google Scholar.

2025

• [ICCASP’25] Junyao Wang, Mohammad Abdullah Al Faruque,  Transformer-Based Contrastive Meta-Learning For Low-Resource Generalizable Activity Recognition, the 50^th International Conference on Acoustics, Speech, and Signal Processing, 2025

2024

• [DAC’24] Junyao Wang, Mohammad Abdullah Al Faruque, SMORE: Similarity-based Hyperdimensional Domain Adaptation for Multi-Sensor Time Series Classification, the 61^st Annual Design Automation Conference (DAC), 2024 [Slides][Poster]
• [WACV’24] Junyao Wang^*, Arnav Vaibhav Malawade^*, Junhong Zhou, Shih-Yuan Yu, Mohammad Abdullah Al Faruque, RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust Autonomous Perception and Scenario Understanding, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 [Slides][Poster]

2023

• [ICCAD‘23-SRC] Junyao Wang, Mohammad Al Faruque, Robust and Scalable Hyperdimensional Computing With Brain-Like Neural Adaptations, Student Research Competition (SRC) in the 42^nd IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2023 [Certificate][Poster][Slides]
• [ICCAD‘23] Junyao Wang, Luke Chen, Mohammad Al Faruque, DOMINO: Domain-Invariant Hyperdimensional Classification for Multi-Sensor Time Series Data, the 42^nd IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2023 [Poster][Slides]
• [DAC‘23] Junyao Wang, Hanning Chen, Mariam Issa, Sitao Huang, Mohsen Imani, Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection, the 60^th Annual Design Automation Conference (DAC), 2023 [Poster]
• [DAC‘23] Junyao Wang, Sitao Huang, Mohsen Imani, DistHD: DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification, the 60^th Annual Design Automation Conference (DAC), 2023 [Poster][Slides][Code]
• [IEEE IoT] Junyao Wang, Haocheng Xu, Yonatan Gizachew Achamyeleh, Sitao Huang, Mohammad Abdullah Al Faruque, HyperDetect: A Real-Time Hyperdimensional Solution For Intrusion Detection in IoT Networks, IEEE Internet of Things Journal (Impact Factor 10.6), 2023
• [IEEE TCAD] Mariam Issa, Hanning Chen, Junyao Wang, Mohsen Imani, CyberRL: Brain-Inspired Reinforcement Learning for Efficient Network Intrusion Detection, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

* Equal Contribution.

Professional Service

Conference External Reviewer:

• DAC’ 2023
• ISLPED’ 2024
• ESWEEK’ 2024

Journal Reviewer:

• Transactions on Computers