Publications – Junyao Wang

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

2024

[DAC’24] Junyao Wang, Mohammad Abdullah Al Faruque, SMORE: Similarity-based Hyperdimensional Domain Adaptation for Multi-Sensor Time Series Classification, the 61st Annual Design Automation Conference (DAC), 2024
[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^ndIEEE/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 60th 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 60th 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

* Equal Contribution.

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