Junyu Liu

Orcid: 0000-0003-1669-8039

According to our database1, Junyu Liu authored at least 179 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Quantum power flows: from theory to practice.
Quantum Mach. Intell., December, 2024

A Mixed-Bouncing Based 6G Multi-UAV Integrated Channel Model With Consistency and Non-Stationarity.
IEEE Trans. Wirel. Commun., October, 2024

Quantum Data Center: Perspectives.
IEEE Netw., September, 2024

Enabling Integrated Access and Backhaul in Dynamic Aerial-Terrestrial Networks for Coverage Enhancement.
IEEE Trans. Wirel. Commun., August, 2024

Energy-Efficient Power Control for Multiple-Task Split Inference in UAVs: A Tiny Learning-Based Approach.
IEEE Internet Things J., June, 2024

Two-Timescale Trajectory Planning and Resource Allocation in Air-Terrestrial Integrated Networks With CoMP.
IEEE Trans. Wirel. Commun., May, 2024

A Deep Learning Framework for Infrared and Visible Image Fusion Without Strict Registration.
Int. J. Comput. Vis., May, 2024

Statistical A2G Coverage Characteristics in Dynamic Fixed-Wing UAV Networks.
IEEE Wirel. Commun. Lett., March, 2024

Reinforcement Learning-Based Resource Allocation for Coverage Continuity in High Dynamic UAV Communication Networks.
IEEE Trans. Wirel. Commun., February, 2024

Enhancing Millimeter Wave Cellular Networks via UAV-Borne Aerial IRS Swarms.
IEEE Trans. Commun., January, 2024

AquaGS: An integrated GUI pipeline for genomic selection in aquaculture breeding.
SoftwareX, 2024

Optimization of isolation valve placement to improve reliability and resilience of water distribution systems.
Reliab. Eng. Syst. Saf., 2024

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions.
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Future Gener. Comput. Syst., 2024

Large Language Model Benchmarks in Medical Tasks.
CoRR, 2024

Deep Learning, Machine Learning - Digital Signal and Image Processing: From Theory to Application.
CoRR, 2024

Deep Learning and Machine Learning - Python Data Structures and Mathematics Fundamental: From Theory to Practice.
CoRR, 2024

Deep Learning and Machine Learning - Object Detection and Semantic Segmentation: From Theory to Applications.
CoRR, 2024

Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models - Blockchain and Applications.
CoRR, 2024

Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models - AutoML from Basics to State-of-the-Art Techniques.
CoRR, 2024

Deep Learning and Machine Learning with GPGPU and CUDA: Unlocking the Power of Parallel Computing.
CoRR, 2024

Deep Learning and Machine Learning: Advancing Big Data Analytics and Management with Design Patterns.
CoRR, 2024

Quantum-data-driven dynamical transition in quantum learning.
CoRR, 2024

From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice.
CoRR, 2024

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications.
CoRR, 2024

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Object-Oriented Programming.
CoRR, 2024

Surveying the MLLM Landscape: A Meta-Review of Current Surveys.
CoRR, 2024

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer.
CoRR, 2024

Introducing Anisotropic Fields for Enhanced Diversity in Crowd Simulation.
CoRR, 2024

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models.
CoRR, 2024

Securing Large Language Models: Addressing Bias, Misinformation, and Prompt Attacks.
CoRR, 2024

Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography.
CoRR, 2024

Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges.
CoRR, 2024

Quantum-machine-assisted Drug Discovery: Survey and Perspective.
CoRR, 2024

The curse of random quantum data.
CoRR, 2024

Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent.
CoRR, 2024

Feint in Multi-Player Games.
CoRR, 2024

Formalizing Feint Actions, and Example Studies in Two-Player Games.
CoRR, 2024

Quantum Machine Learning: from NISQ to Fault Tolerance.
CoRR, 2024

2023
Estimating truncation effects of quantum bosonic systems using sampling algorithms.
Mach. Learn. Sci. Technol., December, 2023

Energy-efficient UAV-NOMA aided wireless coverage with massive connections.
Sci. China Inf. Sci., December, 2023

Outage Analysis of UAV-Aided Networks With Underlaid Ambient Backscatter Communications.
IEEE Trans. Wirel. Commun., November, 2023

The capacity of k-connectivity d-dimensional wireless networks with node failure.
Sci. China Inf. Sci., October, 2023

Congestion Avoidance Social-Aware Caching Strategy in Cache-Enabled Heterogeneous Networks.
IEEE Trans. Veh. Technol., July, 2023

Quantum Kerr learning.
Mach. Learn. Sci. Technol., June, 2023

Exploiting Collaborative Computing to Improve Downlink Sum Rate in Satellite Integrated Terrestrial Networks.
IEEE Trans. Veh. Technol., April, 2023

Coverage enhancement for 6G satellite-terrestrial integrated networks: performance metrics, constellation configuration and resource allocation.
Sci. China Inf. Sci., March, 2023

Geometry-Based Stochastic Probability Models for the LoS and NLoS Paths of A2G Channels Under Urban Scenarios.
IEEE Internet Things J., February, 2023

Coordinated Intra- and Inter-system Interference Management in Integrated Satellite Terrestrial Networks.
CoRR, 2023

Dynamical phase transition in quantum neural networks with large depth.
CoRR, 2023

xxMD: Benchmarking Neural Force Fields Using Extended Dynamics beyond Equilibrium.
CoRR, 2023

Potential Energy Advantage of Quantum Economy.
CoRR, 2023

Fundamental causal bounds of quantum random access memories.
CoRR, 2023

Supercomputing tensor networks for U(1) symmetric quantum many-body systems.
CoRR, 2023

Towards provably efficient quantum algorithms for large-scale machine-learning models.
CoRR, 2023

Complexity of Gaussian boson sampling with tensor networks.
CoRR, 2023

Catapult Dynamics and Phase Transitions in Quadratic Nets.
CoRR, 2023

UAV Swarm Deployment and Trajectory for 3D Area Coverage via Reinforcement Learning.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Symmetric Pruning in Quantum Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Resource Provisioning for Heterogeneous Services in UAV-Assisted MEC Systems.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Face Recognition on Point Cloud with Cgan-Top for Denoising.
Proceedings of the IEEE International Conference on Acoustics, 2023

Enabling Efficient Emulation of Internet-of-Vehicles on a Single Machine: Practices and Lessons.
Proceedings of the HCI International 2023 Posters, 2023

BROOK Dataset: A Playground for Exploiting Data-Driven Techniques in Human-Vehicle Interactive Designs.
Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2023

Characterizing and Optimizing Differentially-Private Techniques for High-Utility, Privacy-Preserving Internet-of-Vehicles.
Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2023

FIGCONs: Exploiting FIne-Grained CONstructs of Facial Expressions for Efficient and Accurate Estimation of In-Vehicle Drivers' Statistics.
Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2023

Research on Common Structure of Motion Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

A method of human motion reconstruction with sparse joints based on attention mechanism.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Towards a variational Jordan-Lee-Preskill quantum algorithm.
Mach. Learn. Sci. Technol., December, 2022

IRS-Aided Secure NOMA Networks Against Internal and External Eavesdropping.
IEEE Trans. Commun., 2022

Integration technology of logistics information resources in electric power enterprises based on web services.
Int. J. Inf. Technol. Manag., 2022

Benchmarking variational quantum circuits with permutation symmetry.
CoRR, 2022

Group-Equivariant Neural Networks with Fusion Diagrams.
CoRR, 2022

Noise can be helpful for variational quantum algorithms.
CoRR, 2022

Quantum Data Center: Theories and Applications.
CoRR, 2022

On the Super-exponential Quantum Speedup of Equivariant Quantum Machine Learning Algorithms with SU(d) Symmetry.
CoRR, 2022

Laziness, Barren Plateau, and Noise in Machine Learning.
CoRR, 2022

Quantum Kerr Learning.
CoRR, 2022

Estimating the frame potential of large-scale quantum circuit sampling using tensor networks up to 50 qubits.
CoRR, 2022

An analytic theory for the dynamics of wide quantum neural networks.
CoRR, 2022

HUT: Enabling High-UTility, Batched Queries under Differential Privacy Protection for Internet-of-Vehicles.
CoRR, 2022

BROOK Dataset: A Playground for Exploiting Data-Driven Techniques in Human-Vehicle Interactive Designs.
CoRR, 2022

Characterizing Differentially-Private Techniques in the Era of Internet-of-Vehicles.
CoRR, 2022

Energy-efficient trajectory planning and resource allocation in UAV communication networks under imperfect channel prediction.
Sci. China Inf. Sci., 2022

Embedding Learning in Hybrid Quantum-Classical Neural Networks.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Sample-based Prophet for Online Ride-sharing with Fairness.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Quantum Computing Methods for Supply Chain Management.
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

Interference-aware Resource Allocation in Satellite Integrated Terrestrial Networks.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2022

Delay-aware User Association for Caching Enabled Small Cell Networks.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2022

Face2Statistics: User-Friendly, Low-Cost and Effective Alternative to In-vehicle Sensors/Monitors for Drivers.
Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2022

Oneiros-OpenDS: An Interactive and Extensible Toolkit for Agile and Automated Developments of Complicated Driving Scenes.
Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2022

IRS-Aided Secure MISO-NOMA Networks Towards Internal and External Eavesdropping.
Proceedings of the IEEE Global Communications Conference, 2022

Robust Capacity of Wireless Networks Under Cascading Failures.
Proceedings of the IEEE Global Communications Conference, 2022

UAV-Assisted Networks With Underlaid Ambient Backscattering: Modeling and Outage Analysis.
Proceedings of the IEEE Global Communications Conference, 2022

2021
High Altitude Air-to-Ground Channel Modeling for Fixed-Wing UAV Mounted Aerial Base Stations.
IEEE Wirel. Commun. Lett., 2021

Exploiting Aerial Computing for Air-to-Ground Coverage Enhancement.
IEEE Wirel. Commun., 2021

Exploiting Fingerprint Correlation for Fingerprint-Based Indoor Localization: A Deep Learning Based Approach.
IEEE Trans. Veh. Technol., 2021

Leveraging the Coupling of Radio Access Network and mmWave Backhaul Network: Modeling and Optimization.
IEEE Trans. Veh. Technol., 2021

Joint Optimization of BS Clustering and Power Control for NOMA-Enabled CoMP Transmission in Dense Cellular Networks.
IEEE Trans. Veh. Technol., 2021

Toward Practical Access Point Deployment for Angle-of-Arrival Based Localization.
IEEE Trans. Commun., 2021

Multi-UAV Trajectory Planning for Energy-Efficient Content Coverage: A Decentralized Learning-Based Approach.
IEEE J. Sel. Areas Commun., 2021

Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ans{ä}tze.
CoRR, 2021

Polyphonic Sound Event Detection Using Capsule Neural Network on Multi-Type-Multi-Scale Time-Frequency Representation.
CoRR, 2021

Representation Learning via Quantum Neural Tangent Kernels.
CoRR, 2021

Towards a variational Jordan-Lee-Preskill quantum algorithm.
CoRR, 2021

Joint optimization of user association and resource allocation in cache-enabled terrestrial-satellite integrating network.
Sci. China Inf. Sci., 2021

Prefetch and Cache Replacement Based on Thompson Sampling for Satellite IoT Network.
Proceedings of the ICC 2021, 2021

The Importance Distribution of Drivers' Facial Expressions Varies over Time!
Proceedings of the AutomotiveUI '21: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Leeds, United Kingdom, September 9-14, 2021, 2021

2020
Efficient Betweenness Based Content Caching and Delivery Strategy in Wireless Networks.
IEEE Wirel. Commun. Lett., 2020

Delay-Aware Computation Offloading in NOMA MEC Under Differentiated Uploading Delay.
IEEE Trans. Wirel. Commun., 2020

Accurate Indoor Localization Assisted With Optimizing Array Orientations and Receiver Positions.
IEEE Trans. Veh. Technol., 2020

Towards Efficient Retransmission in Dense Networks With Interference Correlation.
IEEE Trans. Commun., 2020

Access Points in the Air: Modeling and Optimization of Fixed-Wing UAV Network.
IEEE J. Sel. Areas Commun., 2020

RODE-Net: Learning Ordinary Differential Equations with Randomness from Data.
CoRR, 2020

Heating Load Forecasting for Combined Heat and Power Plants Via Strand-Based LSTM.
IEEE Access, 2020

Obstacle-aware Access Points Deployment for Angle-of-arrival Based Indoor Localization.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Towards Effective Tradeoff Between Content Caching and Retrieving in Dense Small Cell Network.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Prediction Stability as a Criterion in Active Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Hybrid RSS/CSI Fingerprint Aided Indoor Localization: A Deep Learning based Approach.
Proceedings of the IEEE Global Communications Conference, 2020

Joint Sociality and Load Balance for Proactive Caching in Wireless Networks.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Exploiting AoA Estimation Accuracy for Indoor Localization: A Weighted AoA-Based Approach.
IEEE Wirel. Commun. Lett., 2019

Joint Mode Selection and Resource Allocation for D2D-Enabled NOMA Cellular Networks.
IEEE Trans. Veh. Technol., 2019

OpArray: Exploiting Array Orientation for Accurate Indoor Localization.
IEEE Trans. Commun., 2019

Stable Throughput Region and Average Delay Analysis of Uplink NOMA Systems With Unsaturated Traffic.
IEEE Trans. Commun., 2019

A New Method for Refining the GNSS-Derived Precipitable Water Vapor Map.
Sensors, 2019

Performance Analysis and Optimization of UAV Integrated Terrestrial Cellular Network.
IEEE Internet Things J., 2019

Modelling and comparison for low-voltage broadband power line noise using LS-SVM and wavelet neural networks.
IET Commun., 2019

Prediction stability as a criterion in active learning.
CoRR, 2019

A Locating Model for Pulmonary Tuberculosis Diagnosis in Radiographs.
CoRR, 2019

Fingerprint Similarity Indoor Localization: An AP Selection Based Approach.
Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019

Effect of Interference Correlation on the Performance of Ultra-Dense Networks.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Wireless Backhaul: Intrinsic Bottleneck of Ultra-Dense Networks?
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Delay-Efficient Offloading for NOMA-MEC with Asynchronous Uploading Completion Awareness.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
A Multi-Radio Multi-Channel Assignment Algorithm Based on Topology Control and Link Interference Weight for a Power Distribution Wireless Mesh Network.
Wirel. Pers. Commun., 2018

Limitation of SDMA in Ultra-Dense Small Cell Networks.
IEEE Wirel. Commun. Lett., 2018

Improving Network Capacity Scaling Law in Ultra-Dense Small Cell Networks.
IEEE Trans. Wirel. Commun., 2018

Success Probability and Area Spectral Efficiency in SCMA Wireless Networks.
IEEE Trans. Veh. Technol., 2018

Performance of Small Cell Networks Under Multislope Bounded Pathloss Model: From Sparse to Ultradense Deployment.
IEEE Trans. Veh. Technol., 2018

Design of Event-Triggered Fault-Tolerant Control for Stochastic Systems with Time-Delays.
Sensors, 2018

AP-sequence Based Fingerprint Similarity Indoor Localization.
Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

Spectral efficiency optimization in caching enabled ultra-dense small cell networks.
Proceedings of the IEEE INFOCOM 2018, 2018

A Novel System for Fingerprint Orientation Estimation.
Proceedings of the Image and Graphics Technologies and Applications, 2018

OrieNet: A Regression System for Latent Fingerprint Orientation Field Extraction.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

An Original Neural Network for Pulmonary Tuberculosis Diagnosis in Radiographs.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Modeling and Analysis of UAV Assisted Cellular Network.
Proceedings of the IEEE Global Communications Conference, 2018

Caching in Ultra-Dense Small Cell Networks with Limited Backhaul.
Proceedings of the IEEE Global Communications Conference, 2018

Resource Allocation for Low-Latency Mobile Edge Computation Offloading in NOMA Networks.
Proceedings of the IEEE Global Communications Conference, 2018

PartsNet: A Unified Deep Network for Automotive Engine Precision Parts Defect Detection.
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018

Label Distribution Learning by Exploiting Label Correlations.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Modeling and Analysis of SCMA Enhanced D2D and Cellular Hybrid Network.
IEEE Trans. Commun., 2017

Interference Management in Ultra-Dense Networks: Challenges and Approaches.
IEEE Netw., 2017

Effect of Densification on Cellular Network Performance With Bounded Pathloss Model.
IEEE Commun. Lett., 2017

Backtracking Codebook Matching Algorithm Based on Codebook Correlation for Uplink SCMA System.
IEEE Commun. Lett., 2017

MISO in Ultra-Dense Networks: Balancing the Tradeoff between User and System Performance.
CoRR, 2017

The Impact of Antenna Height Difference on the Performance of Downlink Cellular Networks.
CoRR, 2017

Network Densification in 5G: From the Short-Range Communications Perspective.
IEEE Commun. Mag., 2017

Maximizing Quality of Experience in Device-to-Device Communication Using an Evolutionary Algorithm Based on Users' Behavior.
IEEE Access, 2017

Robust indoor localization in ultra dense networks: A fingerprint similarity approach.
Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017

Indoor Localization with Irregular Antenna Deployment.
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017

Long-term reliable visual tracking with UAVs.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

3D Indoor localization based on spectral clustering and weighted backpropagation neural networks.
Proceedings of the 2017 IEEE/CIC International Conference on Communications in China, 2017

The Impact of Antenna Height Difference on the Performance of Downlink Cellular Networks.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
DO-Fast: a round-robin opportunistic scheduling protocol for device-to-device communications.
Wirel. Commun. Mob. Comput., 2016

D2D Enhanced Co-Ordinated Multipoint in Cloud Radio Access Networks.
IEEE Trans. Wirel. Commun., 2016

How Dense is Ultra-Dense for Wireless Networks: From Far- to Near-Field Communications.
CoRR, 2016

Enhancement for content delivery with proximity communications in caching enabled wireless networks: architecture and challenges.
IEEE Commun. Mag., 2016

Graph-based joint mode selection and resource allocation scheme for D2D and cellular hybrid network using SCMA.
Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016

Minimum delay guaranteed cooperative device-to-device caching in 5G wireless networks.
Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016

Performance analysis of SCMA ad hoc networks: A stochastic geometry approach.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2016

Interference-aware resource allocation for D2D underlaid cellular network using SCMA: A hypergraph approach.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2016

D2D enhanced cloud radio access networks with coordinated multi-point.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

2015
On Transmission Capacity Region of D2D Integrated Cellular Networks With Interference Management.
IEEE Trans. Commun., 2015

On-demand scheduling: achieving QoS differentiation for D2D communications.
IEEE Commun. Mag., 2015

Resource allocation in device-to-device communication underlaid cellular network using SCMA: An opportunistic approach.
Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015

Modeling SCMA in D2D underlaid cellular network.
Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015

Analysis of transmission capacity region in D2D integrated cellular networks with power control.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Comp Transmission in Cloud Radio Access Networks.
Proceedings of the 2015 IEEE Globecom Workshops, San Diego, CA, USA, December 6-10, 2015, 2015

2014
Joint scheduling and power control for α-utility maximization in wireless ad-hoc networks with successive interference cancellation.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014

2013
A Distributed Opportunistic scheduling protocol for device-to-device communications.
Proceedings of the 24th IEEE Annual International Symposium on Personal, 2013

2009
Integrating Rough Set and Genetic Algorithm for Negative Rule Extraction.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009


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