Stochastic Geometry based Interference Analysis of Multiuser mmWave Networks with RIS
In this paper, we utilize tools from stochastic geometry to estimate the interference propagation via reconfigurable intelligent surface (RIS) in the millimeter […]
Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels
Today’s intelligent applications can achieve high performance accuracy using machine learning (ML) techniques, such as deep neural networks (DNNs). Traditionally, in a […]
Latency-Aware Joint Transmit Beamforming and Receive Power Splitting for SWIPT Systems
This paper considers a multi-user multiple-input-single-output (MU-MISO) broadcast scenario with power splitting (PS) based simultaneous wireless information and power transfer (SWIPT). Specifically, […]
Imperfect jamming cancellation on NOMA networks with randomly located eavesdroppers
This paper addresses the secrecy performance of the downlink of a non-orthogonal multiple access network in the presence of multiple randomly located […]
MuSe 2021 Challenge
The 2nd Multimodal Sentiment Analysis (MuSe) 2021 Challenge-based Workshop is held in conjunction with ACM Multimedia’21. Two datasets are provided as part […]
Low-Complexity High-Performance Cyclic Caching for Large MISO Systems
Multi-antenna coded caching is known to combine a global caching gain that is proportional to the cumulative cache size found across the […]
All-Around Universal and Photoelastic Self-Healing Elastomer with High Toughness and Resilience
Ultimately soft electronics seek affordable and high mechanical performance universal self-healing materials that can autonomously heal in harsh environments within short times […]
Complete Path Planning That Simultaneously Optimizes Length and Clearance
This paper considers a fundamental, optimal path planning problem that requires simultaneously minimizing path length and maximizing obstacle clearance. We show that […]
Intra- and Inter-Contrastive Learning for Micro-expression Action Unit Detection
Encoding facial expressions via Action Units (AUs) has been found effective for resolving the ambiguity issue among different expressions. In the literature, […]
DynGeoNet
Micro-expressions (MEs) are brief and involuntary facial expressions when people hide their true feelings or conceal their emotions. Based on psychology research, […]