85 citations · 292 across the 19 of their papers we have counts for
22 papers
Robust Real-Time Monocular Human Pose Estimation with Insole-Based Sensor Fusion
Liang Yu, Tao Zhu, Xiangqing Lu +2
Real-time monocular human pose estimation is an important sensing component for human-centered intelligent systems. While recent camera-based methods have achieved impressive accur…
HGA-Quant: Heterogeneity-Aware Quantization for AutoRegressive Visual Generation Models
Xinmeng Liu, Xianglong Yan, Kaicheng Yang +2
Recently, AutoRegressive Visual Generation (ARVG) models have emerged as a competitive paradigm for high-quality image synthesis. However, their substantial computational and memor…
Amplified moments and a refinement of the quasi-Riemann hypothesis
Hejian Sang, Yuanda Xu
Recently, OpenAI announced a uniform zero-free half-plane for finite-order Hecke -functions over , together with its transfer to Dirichlet -funct…
LLM-Driven Preference Data Synthesis for Proactive Prediction of the Next User Utterance in Human-Machine Dialogue
Jinqiang Wang, Huansheng Ning, Jianguo Ding +3
Proactively predicting a users next utterance in human-machine dialogue can streamline interaction and improve user experience. Existing commercial API-based solutions are subject…
PTMs-TSCIL Pre-Trained Models Based Class-Incremental Learning
Yuanlong Wu, Mingxing Nie, Tao Zhu +3
Class-incremental learning (CIL) for time series data faces critical challenges in balancing stability against catastrophic forgetting and plasticity for new knowledge acquisition,…
FLOW: Fusing and Shuffling Global and Local Views for Cross-User Human Activity Recognition with IMUs
Qi Qiu, Tao Zhu, Furong Duan +3
Inertial Measurement Unit (IMU) sensors are widely employed for Human Activity Recognition (HAR) due to their portability, energy efficiency, and growing research interest. However…
ReLU-KAN: New Kolmogorov-Arnold Networks that Only Need Matrix Addition, Dot Multiplication, and ReLU
Qi Qiu, Tao Zhu, Helin Gong +2
Limited by the complexity of basis function (B-spline) calculations, Kolmogorov-Arnold Networks (KAN) suffer from restricted parallel computing capability on GPUs. This paper propo…
MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer
Wenyong Han, Tao Zhu Member, Liming Chen +3
The massive generation of time-series data by largescale Internet of Things (IoT) devices necessitates the exploration of more effective models for multivariate time-series forecas…
HARMamba: Efficient and Lightweight Wearable Sensor Human Activity Recognition Based on Bidirectional Mamba
Shuangjian Li, Tao Zhu, Furong Duan +4
Wearable sensor-based human activity recognition (HAR) is a critical research domain in activity perception. However, achieving high efficiency and long sequence recognition remain…
P2LHAP:Wearable sensor-based human activity recognition, segmentation and forecast through Patch-to-Label Seq2Seq Transformer
Shuangjian Li, Tao Zhu, Mingxing Nie +3
Traditional deep learning methods struggle to simultaneously segment, recognize, and forecast human activities from sensor data. This limits their usefulness in many fields such as…
A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation
Furong Duan, Tao Zhu, Jinqiang Wang +3
Sensor-based human activity segmentation and recognition are two important and challenging problems in many real-world applications and they have drawn increasing attention from th…
Human Digital Twin: A Survey
Yujia Lin, Liming Chen, Aftab Ali +7
Digital twin has recently attracted growing attention, leading to intensive research and applications. Along with this, a new research area, dubbed as "human digital twin" (HDT), h…
Edge-enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing
Sahraoui Dhelim, Tahar Kechadi, Liming Chen +3
The Metaverse is a virtual environment where users are represented by avatars to navigate a virtual world, which has strong links with the physical one. State-of-the-art Metaverse…
Trust2Vec: Large-Scale IoT Trust Management System based on Signed Network Embeddings
Sahraoui Dhelim, Nyothiri Aung, Tahar Kechadi +3
A trust management system (TMS) is an integral component of any IoT network. A reliable trust management system must guarantee the network security, data integrity, and act as a re…
Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition
Jinqiang Wang, Tao Zhu, Liming Chen +2
Contrastive learning has been applied to Human Activity Recognition (HAR) based on sensor data owing to its ability to achieve performance comparable to supervised learning with a…
Artificial Intelligence for Suicide Assessment using Audiovisual Cues: A Review
Sahraoui Dhelim, Liming Chen, Huansheng Ning +1
Death by suicide is the seventh leading death cause worldwide. The recent advancement in Artificial Intelligence (AI), specifically AI applications in image and voice processing, h…
VeSoNet: Traffic-Aware Content Caching for Vehicular Social Networks based on Path Planning and Deep Reinforcement Learning
Nyothiri Aung, Sahraoui Dhelim, Liming Chen +3
Vehicular social networking is an emerging application of the promising Internet of Vehicles (IoV) which aims to achieve the seamless integration of vehicular networks and social n…
Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition
Jinqiang Wang, Tao Zhu, Jingyuan Gan +3
While deep learning has contributed to the advancement of sensor-based Human Activity Recognition (HAR), it is usually a costly and challenging supervised task with the needs of a…
Big-Five, MPTI, Eysenck or HEXACO: The Ideal Personality Model for Personality-aware Recommendation Systems
Sahraoui Dhelim, Liming Luke Chen, Nyothiri Aung +2
Personality-aware recommendation systems have been proven to achieve high accuracy compared to conventional recommendation systems. In addition to that, personality-aware recommend…
Social Behavior and Mental Health: A Snapshot Survey under COVID-19 Pandemic
Sahraoui Dhelim, Liming Luke Chen, Huansheng Ning +6
Online social media provides a channel for monitoring people's social behaviors and their mental distress. Due to the restrictions imposed by COVID-19 people are increasingly using…
A Survey of Hybrid Human-Artificial Intelligence for Social Computing
Wenxi Wang, Huansheng Ning, Feifei Shi +3
Along with the development of modern computing technology and social sciences, both theoretical research and practical applications of social computing have been continuously exten…
IoT-Enabled Social Relationships Meet Artificial Social Intelligence
Sahraoui Dhelim, Huansheng Ning, Fadi Farha +3
With the recent advances of the Internet of Things, and the increasing accessibility of ubiquitous computing resources and mobile devices, the prevalence of rich media contents, an…