activity
20202022
most citedDeep Random Forest with Ferroelectric Analog Content Addressable Memory

11 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022

HDNet: Hierarchical Dynamic Network for Gait Recognition using Millimeter-Wave Radar

Yanyan Huang, Yong Wang, Kun Shi +4

Gait recognition is widely used in diversified practical applications. Currently, the most prevalent approach is to recognize human gait from RGB images, owing to the progress of c…

eess.AS20226 cited

Semantic-preserved Communication System for Highly Efficient Speech Transmission

Tianxiao Han, Qianqian Yang, Zhiguo Shi +2

Deep learning (DL) based semantic communication methods have been explored for the efficient transmission of images, text, and speech in recent years. In contrast to traditional wi…

eess.AS2022

Semantic-aware Speech to Text Transmission with Redundancy Removal

Tianxiao Han, Qianqian Yang, Zhiguo Shi +2

Deep learning (DL) based semantic communication methods have been explored for the efficient transmission of images, text, and speech in recent years. In contrast to traditional wi…

cs.ET202111 cited

Deep Random Forest with Ferroelectric Analog Content Addressable Memory

Xunzhao Yin, Franz Müller, Ann Franchesca Laguna +14

Deep random forest (DRF), which incorporates the core features of deep learning and random forest (RF), exhibits comparable classification accuracy, interpretability, and low memor…

physics.soc-ph20201 cited

Universal Urban Spreading Pattern of COVID-19 and Its Underlying Mechanism

Yongtao Zhang, Hongshen Zhang, Mincheng Wu +14

Currently, the global situation of COVID-19 is aggravating, pressingly calling for efficient control and prevention measures. Understanding spreading pattern of COVID-19 has been w…