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10 papers · 1 filter
Multimodal Skeleton-Based Action Representation Learning via Decomposition and Composition
Hongsong Wang, Heng Fei, Bingxuan Dai +1
Multimodal human action understanding is a significant problem in computer vision, with the central challenge being the effective utilization of the complementarity among diverse m…
Dynamic Vulnerability Patching for Heterogeneous Embedded Systems Using Stack Frame Reconstruction
Ming Zhou, Xupu Hu, Zhihao Wang +4
Existing dynamic vulnerability patching techniques are not well-suited for embedded devices, especially mission-critical ones such as medical equipment, as they have limited comput…
Enabling low-power massive MIMO with ternary ADCs for AIoT sensing
Shengheng Liu, Ningning Fu
The proliferation of networked devices and the surging demand for ubiquitous intelligence have given rise to the artificial intelligence of things (AIoT). However, the utilization…
Multi-grained spatial-temporal feature complementarity for accurate online cellular traffic prediction
Ningning Fu, Shengheng Liu, Weiliang Xie +1
Knowledge discovered from telecom data can facilitate proactive understanding of network dynamics and user behaviors, which in turn empowers service providers to optimize cellular…
Integrated user scheduling and beam steering in over-the-air federated learning for mobile IoT
Shengheng Liu, Ningning Fu, Zhonghao Zhang +2
The rising popularity of Internet of things (IoT) has spurred technological advancements in mobile internet and interconnected systems. While offering flexible connectivity and int…
Photoswitchable exceptional points derived from bound states in the continuum
Lei Wang, Hang Liu, Junwei Liu +11
Bound states in the continuum (BICs) and exceptional points (EPs), as two distinct physical singularities represented by complex frequencies in non-Hermitian systems, have garnered…