Publications (40)
Regional Resource Management for Service Provisioning in LEO Satellite Networks: A Topology Feature-Based DRL Approach
Chenxi Bao, Di Zhou, Min Sheng +3
Satellite networks with wide coverage are considered natural extensions to terrestrial networks for their long-distance end-to-end (E2E) service provisioning. However, the inherent…
Layer-dependent electromechanical response in twisted graphene moiré superlattices
Hanhao Zhang, Yuanhao Wei, Yuhao Li +9
The coupling of mechanical deformation and electrical stimuli at the nanoscale has been a subject of intense investigation in the realm of materials science. Recently, twisted van…
Symmetry breaking and anomalous conductivity in a double moiré superlattice
Yuhao Li, Minmin Xue, Hua Fan +13
A double moiré superlattice can be realized by stacking three layers of atomically thin two-dimensional materials with designer interlayer twisting or lattice mismatches. In this…
Inter-domain Resource Collaboration in Satellite Networks: An Intelligent Scheduling Approach Towards Hybrid Missions
Chenxi Bao, Di Zhou, Min Sheng +2
Since the next-generation satellite network consisting of various service function domains, such as communication, observation, navigation, etc., is moving towards large-scale, usi…
Large Language Models and Their Applications in Roadway Safety and Mobility Enhancement: A Comprehensive Review
Muhammad Monjurul Karim, Yan Shi, Shucheng Zhang +3
Roadway safety and mobility remain critical challenges for modern transportation systems, demanding innovative analytical frameworks capable of addressing complex, dynamic, and het…
Unusual topological polar texture in moiré ferroelectrics
Yuhao Li, Yuanhao Wei, Ruiping Guo +8
Topological polar textures in ferroelectrics have attracted significant interest for their potential for energy-efficient and high-density data storage and processing. Among these,…
Implementing Digital Twin in Field-Deployed Optical Networks: Uncertain Factors, Operational Guidance, and Field-Trial Demonstration
Yuchen Song, Min Zhang, Yao Zhang +5
Digital twin has revolutionized optical communication networks by enabling their full life-cycle management, including design, troubleshooting, optimization, upgrade, and predictio…
Synergistic Interplay of Large Language Model and Digital Twin for Autonomous Optical Networks: Field Demonstrations
Yuchen Song, Yao Zhang, Anni Zhou +6
The development of large language models (LLM) has revolutionized various fields and is anticipated to drive the advancement of autonomous systems. In the context of autonomous opt…
Synchronized Fractionation and Phase Separation in Binary Colloids
Lian Dan Yao, Hong Yu Chen, Yan Shi +2
Fractionation is necessary for self-assembly in multicomponent mixtures. Here, reversible fractionation and crystallization are realized and studied in a two-dimensional binary col…
Modeling and Analysis of SCMA Enhanced D2D and Cellular Hybrid Network
Junyu Liu, Min Sheng, Lei Liu +2
Sparse code multiple access (SCMA) has been recently proposed for the future wireless networks, which allows non-orthogonal spectrum resource sharing and enables system overloading…
DoubleStar: Long-Range Attack Towards Depth Estimation based Obstacle Avoidance in Autonomous Systems
Ce Zhou, Qiben Yan, Yan Shi +1
Depth estimation-based obstacle avoidance has been widely adopted by autonomous systems (drones and vehicles) for safety purpose. It normally relies on a stereo camera to automatic…
High Throughput Inter-Layer Connecting Strategy for Multi-Layer Ultra-Dense Satellite Networks
Qi Hao, Di Zhou, Min Sheng +2
Multi-layer ultra-dense satellite networks (MLUDSNs) have soared this meteoric to provide vast throughputd for globally diverse services. Differing from traditional monolayer const…
Mass Acquisition of Dirac Fermions in Bi4I4 by Spontaneous Symmetry Breaking
Ming Yang, Wenxuan Zhao, Dan Mu +14
Massive Dirac fermions, which are essential for realizing novel topological phenomena, are expected to be generated from massless Dirac fermions by breaking the related symmetry, s…
Generative AI-Driven Hierarchical Multi-Agent Framework for Zero-Touch Optical Networks
Yao Zhang, Yuchen Song, Shengnan Li +5
The rapid development of Generative Artificial Intelligence (GenAI) has catalyzed a transformative technological revolution across all walks of life. As the backbone of wideband co…
TAU-R1: Visual Language Model for Traffic Anomaly Understanding
Yuqiang Lin, Kehua Chen, Sam Lockyer +12
Traffic Anomaly Understanding (TAU) is important for traffic safety in Intelligent Transportation Systems. Recent vision-language models (VLMs) have shown strong capabilities in vi…
A Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks
Yan Shi, Dezhi Feng, Subir Biswas
This paper presents a deep-learning based traffic classification method for identifying multiple streaming video sources at the same time within an encrypted tunnel. The work defin…
Detect Depression from Social Networks with Sentiment Knowledge Sharing
Yan Shi, Yao Tian, Chengwei Tong +6
Social network plays an important role in propagating people's viewpoints, emotions, thoughts, and fears. Notably, following lockdown periods during the COVID-19 pandemic, the issu…
Field manipulation of Weyl modes in an ideal Dirac semimetal
Jingyuan Zhong, Jianfeng Wang, Ming Yang +9
The emergent Weyl modes with the broken time-reversal symmetry or inversion symmetry provide large Berry curvature and chirality to carriers, offering the realistic platforms to ex…
Lifecycle Management of Optical Networks with Dynamic-Updating Digital Twin: A Hybrid Data-Driven and Physics-Informed Approach
Yuchen Song, Min Zhang, Yao Zhang +5
Digital twin (DT) techniques have been proposed for the autonomous operation and lifecycle management of next-generation optical networks. To fully utilize potential capacity and a…
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals
Yimin Hou, Shuyue Jia, Xiangmin Lun +5
Towards developing effective and efficient brain-computer interface (BCI) systems, precise decoding of brain activity measured by electroencephalogram (EEG), is highly demanded. Tr…
From Camera-Based Sensing to Reasoning: A Comprehensive Review Toward Proactive Vulnerable Road User Safety
Shucheng Zhang, Yan Shi, Bingzhang Wang +6
Ensuring the safety of vulnerable road users (VRUs), such as pedestrians and cyclists, remains a critical challenge, as conventional infrastructure-based measures are often insuffi…
Robust TOA-based Localization with Inaccurate Anchors for MANET
Xinkai Yu, Yang Zheng, Min Sheng +2
Accurate node localization is vital for mobile ad hoc networks (MANETs). Current methods like Time of Arrival (TOA) can estimate node positions using imprecise baseplates and achie…
Vetaverse: A Survey on the Intersection of Metaverse, Vehicles, and Transportation Systems
Pengyuan Zhou, Jinjing Zhu, Yiting Wang +12
Since 2021, the term "Metaverse" has been the most popular one, garnering a lot of interest. Because of its contained environment and built-in computing and networking capabilities…
Access Points in the Air: Modeling and Optimization of Fixed-Wing UAV Network
Junyu Liu, Min Sheng, Ruiling Lyu +2
Fixed-wing unmanned aerial vehicles (UAVs) are of great potential to serve as aerial access points (APs) owing to better aerodynamic performance and longer flight endurance. Howeve…
Sampling and active learning methods for network reliability estimation using K-terminal spanning tree
Chen Ding, Pengfei Wei, Yan Shi +3
Network reliability analysis remains a challenge due to the increasing size and complexity of networks. This paper presents a novel sampling method and an active learning method fo…
Color Segmentation on FPGA Using Minimum Distance Classifier for Automatic Road Sign Detection
Jingbo Zhao, Benny Thörnberg, Yan Shi +1
Classification is an important step in machine vision systems; it reveals the true identity of an object using features extracted in pre-processing steps. Practical usage requires…
Optimizing food taste sensory evaluation through neural network-based taste electroencephalogram channel selection
Xiuxin Xia, Qun Wang, He Wang +4
The taste electroencephalogram (EEG) evoked by the taste stimulation can reflect different brain patterns and be used in applications such as sensory evaluation of food. However, c…
ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching
Yan Shi, Jun-Xiong Cai, Yoli Shavit +3
Graph Neural Networks (GNNs) with attention have been successfully applied for learning visual feature matching. However, current methods learn with complete graphs, resulting in a…
Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signals
Shuyue Jia, Yimin Hou, Yan Shi +1
In previous studies, decoding electroencephalography (EEG) signals has not considered the topological relationship of EEG electrodes. However, the latest neuroscience has suggested…
Human-Machine Cooperative Multimodal Learning Method for Cross-subject Olfactory Preference Recognition
Xiuxin Xia, Yuchen Guo, Yanwei Wang +3
Odor sensory evaluation has a broad application in food, clothing, cosmetics, and other fields. Traditional artificial sensory evaluation has poor repeatability, and the machine ol…
Decays in QCD Factorization
Xin-Qiang Li, Yan Shi, Ya-Dong Yang +2
Motivated by the first LHCb searches for the rare decays, we perform a detailed study of these processes within the QCD factorization forma…
Decoding Taste Information in Human Brain: A Temporal and Spatial Reconstruction Data Augmentation Method Coupled with Taste EEG
Xiuxin Xia, Yuchao Yang, Yan Shi +2
For humans, taste is essential for perceiving food's nutrient content or harmful components. The current sensory evaluation of taste mainly relies on artificial sensory evaluation…
Revisiting decays within the SM and beyond in QCD factorization
Wei-Jun Deng, Fang-Min Cai, Xin-Qiang Li +2
Motivated by the deviations observed between the data and the SM predictions of and , we revisit the $…
Constructing Mechanical Design Agent Based on Large Language Models
Jiaxing Lu, Heran Li, Fangwei Ning +3
Since ancient times, mechanical design aids have been developed to assist human users, aimed at improving the efficiency and effectiveness of design. However, even with the widespr…
KAN or MLP? Point Cloud Shows the Way Forward
Yan Shi, Qingdong He, Yijun Liu +2
Multi-Layer Perceptrons (MLPs) have become one of the fundamental architectural component in point cloud analysis due to its effective feature learning mechanism. However, when pro…
A Vision of C-V2X: Technologies, Field Testing and Challenges with Chinese Development
Shenzhi Chen, Jinling Hu, Yan Shi +2
C-V2X (Cellular Vehicle-to-Everything) is the important enabling technology for autonomous driving and intelligent transportation systems. It evolves from LTE (Long Term Evolution)…
3C Resources Joint Allocation for Time-Deterministic Remote Sensing Image Backhaul in the Space-Ground Integrated Network
Chongxiao Cai, Yan Zhu, Min Sheng +5
Low-Earth-orbit (LEO) satellites assist observation satellites (OSs) to compress and backhaul more time-determined images (TDI) has become a new paradigm, which is used to enhance…
DCT-MARL: A Dynamic Communication Topology-Based MARL Algorithm for Connected Vehicle Platoon Control
Yaqi Xu, Yan Shi, Jin Tian +4
With the rapid advancement of vehicular communication facilities and autonomous driving technologies, connected vehicle platooning has emerged as a promising approach to improve tr…
Label-Free Intraoperative Imaging of Hemodynamics using Deep Learning
Yan Shi, Denghui Zhao, Jingyi Yu +5
Intraoperative visualization of hemodynamics is crucial for accurate diagnosis and informed surgical decision-making. In neurosurgery, indocyanine green fluorescence imaging (ICG-F…
Experimental and numerical investigation on folding stable state of bistable deployable composite boom
Tian-Wei Liu, Jiang-Bo Bai, Hao-Tian Xi +3
The bistable deployable composite boom (Bi-DCB) can realize the bistable function by storing and releasing strain energy, which has a good application prospect in the aerospace fie…