Yipeng Zhou

According to our database1, Yipeng Zhou authored at least 144 papers between 2006 and 2024.

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Bibliography

2024
Live Migration of Video Analytics Applications in Edge Computing.
IEEE Trans. Mob. Comput., March, 2024

AutoFL: A Bayesian Game Approach for Autonomous Client Participation in Federated Edge Learning.
IEEE Trans. Mob. Comput., January, 2024

CSRA: Robust Incentive Mechanism Design for Differentially Private Federated Learning.
IEEE Trans. Inf. Forensics Secur., 2024

DEthna: Accurate Ethereum Network Topology Discovery with Marked Transactions.
CoRR, 2024

Expediting In-Network Federated Learning by Voting-Based Consensus Model Compression.
CoRR, 2024

Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes.
CoRR, 2024

2023
Optimizing Parameter Mixing Under Constrained Communications in Parallel Federated Learning.
IEEE/ACM Trans. Netw., December, 2023

Lite-YOLOv3: a real-time object detector based on multi-scale slice depthwise convolution and lightweight attention mechanism.
J. Real Time Image Process., December, 2023

MSSD: multi-scale object detector based on spatial pyramid depthwise convolution and efficient channel attention mechanism.
J. Real Time Image Process., October, 2023

Communication compression techniques in distributed deep learning: A survey.
J. Syst. Archit., September, 2023

L-YOLOv4: lightweight YOLOv4 based on modified RFB-s and depthwise separable convolution for multi-target detection in complex scenes.
J. Real Time Image Process., August, 2023

Real-time efficient semantic segmentation network based on improved ASPP and parallel fusion module in complex scenes.
J. Real Time Image Process., June, 2023

On Model Transmission Strategies in Federated Learning With Lossy Communications.
IEEE Trans. Parallel Distributed Syst., April, 2023

Object detection method based on lightweight YOLOv4 and attention mechanism in security scenes.
J. Real Time Image Process., April, 2023

Offloading Elastic Transfers to Opportunistic Vehicular Networks Based on Imperfect Trajectory Prediction.
IEEE/ACM Trans. Netw., February, 2023

LiveSR: Enabling Universal HD Live Video Streaming With Crowdsourced Online Learning.
IEEE Trans. Multim., 2023

Towards Real-Time Video Caching at Edge Servers: A Cost-Aware Deep Q-Learning Solution.
IEEE Trans. Multim., 2023

Boosting Accuracy of Differentially Private Federated Learning in Industrial IoT With Sparse Responses.
IEEE Trans. Ind. Informatics, 2023

Optimizing the Numbers of Queries and Replies in Convex Federated Learning With Differential Privacy.
IEEE Trans. Dependable Secur. Comput., 2023

cRVR: A Stackelberg Game Approach for Joint Privacy-Aware Video Requesting and Edge Caching.
CoRR, 2023

pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning.
CoRR, 2023

FedDWA: Personalized Federated Learning with Online Weight Adjustment.
CoRR, 2023

Edge-Based Video Analytics: A Survey.
CoRR, 2023

Weakly-supervised object localization with gradient-pyramid feature.
Appl. Intell., 2023

BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Survey of Federated Evaluation in Federated Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Understanding and Improving Perceptual Quality of Volumetric Video Streaming.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

FRAIM: A Feature Importance-Aware Incentive Mechanism for Vertical Federated Learning.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

Enhancing Federated Learning by One-Shot Transferring of Intermediate Features from Clients.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Analyzing the Convergence of Federated Learning with Biased Client Participation.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
The Role of Communication Time in the Convergence of Federated Edge Learning.
IEEE Trans. Veh. Technol., 2022

RAP: A Light-Weight Privacy-Preserving Framework for Recommender Systems.
IEEE Trans. Serv. Comput., 2022

Optimizing Video Caching at the Edge: A Hybrid Multi-Point Process Approach.
IEEE Trans. Parallel Distributed Syst., 2022

Incentive-Aware Autonomous Client Participation in Federated Learning.
IEEE Trans. Parallel Distributed Syst., 2022

PPVC: Online Learning Toward Optimized Video Content Caching.
IEEE/ACM Trans. Netw., 2022

Accelerating Federated Learning via Parallel Servers: A Theoretically Guaranteed Approach.
IEEE/ACM Trans. Netw., 2022

AdaFed: Optimizing Participation-Aware Federated Learning With Adaptive Aggregation Weights.
IEEE Trans. Netw. Sci. Eng., 2022

A Covert Electricity-Theft Cyberattack Against Machine Learning-Based Detection Models.
IEEE Trans. Ind. Informatics, 2022

Better guarantees for <i>k</i>-median with service installation costs.
Theor. Comput. Sci., 2022

A Fast Blockchain-Based Federated Learning Framework With Compressed Communications.
IEEE J. Sel. Areas Commun., 2022

USST: A two-phase privacy-preserving framework for personalized recommendation with semi-distributed training.
Inf. Sci., 2022

Gain Without Pain: Offsetting DP-Injected Noises Stealthily in Cross-Device Federated Learning.
IEEE Internet Things J., 2022

CREAT: Blockchain-Assisted Compression Algorithm of Federated Learning for Content Caching in Edge Computing.
IEEE Internet Things J., 2022

Generalized core maintenance of dynamic bipartite graphs.
Data Min. Knowl. Discov., 2022

Deep Hierarchy Quantization Compression algorithm based on Dynamic Sampling.
CoRR, 2022

Otus: A Gaze Model-based Privacy Control Framework for Eye Tracking Applications.
Proceedings of the IEEE INFOCOM 2022, 2022

Optimal Rate Adaption in Federated Learning with Compressed Communications.
Proceedings of the IEEE INFOCOM 2022, 2022

Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources.
Proceedings of the 30th IEEE International Conference on Network Protocols, 2022

2021
Sparkle: User-Aware Viewport Prediction in 360-Degree Video Streaming.
IEEE Trans. Multim., 2021

Collaboratively Replicating Encoded Content on RSUs to Enhance Video Services for Vehicles.
IEEE Trans. Mob. Comput., 2021

Edge Learning for Surveillance Video Uploading Sharing in Public Transport Systems.
IEEE Trans. Intell. Transp. Syst., 2021

TVG-Streaming: Learning User Behaviors for QoE-Optimized 360-Degree Video Streaming.
IEEE Trans. Circuits Syst. Video Technol., 2021

Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates.
IEEE J. Sel. Areas Commun., 2021

Virtual reality: A survey of enabling technologies and its applications in IoT.
J. Netw. Comput. Appl., 2021

Study for classification and recognition of radar emitter intra-pulse signals based on the energy cumulant of CWD.
J. Ambient Intell. Humaniz. Comput., 2021

Privacy-Preserving Federated Learning Framework Based on Chained Secure Multiparty Computing.
IEEE Internet Things J., 2021

A Blockchain-Based Containerized Edge Computing Platform for the Internet of Vehicles.
IEEE Internet Things J., 2021

Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy.
CoRR, 2021

Robust Sensor Fusion Algorithms Against VoiceCommand Attacks in Autonomous Vehicles.
CoRR, 2021

Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning.
CoRR, 2021

On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times.
CoRR, 2021

Sybil Attacks and Defense on Differential Privacy based Federated Learning.
Proceedings of the 20th IEEE International Conference on Trust, 2021

Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous Vehicles.
Proceedings of the 20th IEEE International Conference on Trust, 2021

Vibra: neural adaptive streaming of VBR-encoded videos.
Proceedings of the 31st ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2021

CrowdSR: enabling high-quality video ingest in crowdsourced livecast via super-resolution.
Proceedings of the 31st ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2021

Gaming at the Edge: A Weighted Congestion Game Approach for Latency-Sensitive Scheduling.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Generating High-quality Movie Tags from Social Reviews: A Learning-driven Approach.
Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021

P-FedAvg: Parallelizing Federated Learning with Theoretical Guarantees.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020
Heterogeneous Edge Offloading With Incomplete Information: A Minority Game Approach.
IEEE Trans. Parallel Distributed Syst., 2020

Robust Size Estimation of Online Social Networks via Subgraph Sampling.
IEEE Trans. Netw. Sci. Eng., 2020

Exploiting user reviews for automatic movie tagging.
Multim. Tools Appl., 2020

DeepFusion: predicting movie popularity via cross-platform feature fusion.
Multim. Tools Appl., 2020

Mitigating Sybil Attacks on Differential Privacy based Federated Learning.
CoRR, 2020

On the Detection of Shilling Attacks in Federated Collaborative Filtering.
Proceedings of the International Symposium on Reliable Distributed Systems, 2020

LiveClip: towards intelligent mobile short-form video streaming with deep reinforcement learning.
Proceedings of the 30th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2020

Leveraging Multi-view Learning for Human Anomaly Detection in Industrial Internet of Things.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

SoMem: A Self-optimizing Memory Network for Distributed Person Re-identification.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

AMBR: Boosting the Performance of Personalized Recommendation via Learning from Multi-behavior Data.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

EdgeSum: Edge-Based Video Summarization with Dash Cams.
Proceedings of the 2020 IEEE International Conference on Cloud Engineering, 2020

ClusterGrad: Adaptive Gradient Compression by Clustering in Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Learning Driven Computation Offloading for Asymmetrically Informed Edge Computing.
IEEE Trans. Parallel Distributed Syst., 2019

An Adaptive Online Scheme for Scheduling and Resource Enforcement in Storm.
IEEE/ACM Trans. Netw., 2019

Exploring Popularity Predictability of Online Videos With Fourier Transform.
IEEE Access, 2019

TAMF: towards personalized time-aware recommendation for over-the-top videos.
Proceedings of the 29th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2019

Crowdsourced Time-Sync Video Recommendation via Semantic-Aware Neural Collaborative Filtering.
Proceedings of the Web Engineering - 19th International Conference, 2019

2018
User Behavior Analysis and Video Popularity Prediction on a Large-Scale VoD System.
ACM Trans. Multim. Comput. Commun. Appl., 2018

Interpreting Video Recommendation Mechanisms by Mining View Count Traces.
IEEE Trans. Multim., 2018

Statistical Study of View Preferences for Online Videos With Cross-Platform Information.
IEEE Trans. Multim., 2018

Performance Analysis of Thunder Crystal: A Crowdsourcing-Based Video Distribution Platform.
IEEE Trans. Circuits Syst. Video Technol., 2018

Replicating Coded Content in Crowdsourcing-Based CDN Systems.
IEEE Trans. Circuits Syst. Video Technol., 2018

Buffer State is Enough: Simplifying the Design of QoE-Aware HTTP Adaptive Video Streaming.
IEEE Trans. Broadcast., 2018

Utility Maximization of Cloud-Based In-Car Video Recording Over Vehicular Access Networks.
IEEE Internet Things J., 2018

Multi-Channnel and Mimo Sar Anti-Jamming Analysis.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Modeling Buffer Starvations of Video Streaming in Cellular Networks with Large-Scale Measurement of User Behavior.
IEEE Trans. Mob. Comput., 2017

Modeling and Quantifying the Forces Driving Online Video Popularity Evolution.
CoRR, 2017

Towards Cost Minimization With Renewable Energy Sharing in Cooperative Residential Communities.
IEEE Access, 2017

Context-aware Video Recommendation by Mining Users' View Preferences Based on Access Points.
Proceedings of the 27th Workshop on Network and Operating Systems Support for Digital Audio and Video, 2017

Analysis of User Behavior in a Large-Scale VoD System.
Proceedings of the 27th Workshop on Network and Operating Systems Support for Digital Audio and Video, 2017

Unveiling Latent Behaviors of Video Viewers with Cross-Platform Information.
Proceedings of the 27th Workshop on Network and Operating Systems Support for Digital Audio and Video, 2017

On the "familiar stranger" phenomenon in a large-scale VoD system.
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

GECKO: Gamer Experience-Centric Bitrate Control Algorithm for Cloud Gaming.
Proceedings of the Image and Graphics - 9th International Conference, 2017

2016
Design, Implementation, and Measurement of a Crowdsourcing-Based Content Distribution Platform.
ACM Trans. Multim. Comput. Commun. Appl., 2016

Measuring and Analyzing Third-Party Mobile Game App Stores in China.
IEEE Trans. Netw. Serv. Manag., 2016

Modeling Dynamics of Online Video Popularity.
IEEE Trans. Multim., 2016

Social-group-based ranking algorithms for cold-start video recommendation.
Int. J. Data Sci. Anal., 2016

Modeling QoE of Video Streaming in Wireless Networks with Large-Scale Measurement of User Behavior.
CoRR, 2016

Social Group Based Video Recommendation Addressing the Cold-Start Problem.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Who Are Like-Minded: Mining User Interest Similarity in Online Social Networks.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

2015
A Unifying Model and Analysis of P2P VoD Replication and Scheduling.
IEEE/ACM Trans. Netw., 2015

Analysis and Detection of Fake Views in Online Video Services.
ACM Trans. Multim. Comput. Commun. Appl., 2015

Video Popularity Dynamics and Its Implication for Replication.
IEEE Trans. Multim., 2015

Smart Streaming for Online Video Services.
IEEE Trans. Multim., 2015

Turbocharged Video Distribution via P2P.
IEEE Trans. Circuits Syst. Video Technol., 2015

Thunder crystal: a novel crowdsourcing-based content distribution platform.
Proceedings of the 25th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2015

Analyzing streaming performance in crowdsourcing-based video service systems.
Proceedings of the 2015 IEEE International Workshop on Local and Metropolitan Area Networks, 2015

CDN bandwidth allocation in weakly interconnected networks.
Proceedings of the 2015 IEEE Symposium on Computers and Communication, 2015

Addressing Memory Wall Problem of Graph Computation in Reconfigurable System.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

Modeling Streaming QoE in Wireless Networks with Large-Scale Measurement of User Behavior.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

Automatic Image Semantic Annotation Based on the Tourism Domain Ontological Knowledge Base.
Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014
Analytical QoE Models for Bit-Rate Switching in Dynamic Adaptive Streaming Systems.
IEEE Trans. Mob. Comput., 2014

Exploring Coding Benefits in CDN-Based VoD Systems.
IEEE Trans. Circuits Syst. Video Technol., 2014

Modeling Dynamics of Online Video Popularity.
CoRR, 2014

A study of user behavior in online VoD services.
Comput. Commun., 2014

Fake View Analytics in Online Video Services.
Proceedings of the 24th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2014

A lifetime model of online video popularity.
Proceedings of the 23rd International Conference on Computer Communication and Networks, 2014

Efficient P2P video distribution by peer reorganization.
Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014

2013
On Replication Algorithm in P2P VoD.
IEEE/ACM Trans. Netw., 2013

An Adaptive Cloud Downloading Service.
IEEE Trans. Multim., 2013

Smart Progressive Downloading.
CoRR, 2013

Video Browsing - A Study of User Behavior in Online VoD Services.
Proceedings of the 22nd International Conference on Computer Communication and Networks, 2013

2012
Modeling and analysis of peer-to-peer video on demand system.
PhD thesis, 2012

Server-assisted adaptive video replication for P2P VoD.
Signal Process. Image Commun., 2012

Division-of-labor between server and P2P for streaming VoD.
Proceedings of the 20th IEEE International Workshop on Quality of Service, 2012

Spatially adaptive threshold for image denoisng based on nonsubsampled contourlet transform.
Proceedings of the 3rd IEEE International Conference on Network Infrastructure and Digital Content, 2012

Cross-media topic analysis and information retrieval.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
A simple model for chunk-scheduling strategies in P2P streaming.
IEEE/ACM Trans. Netw., 2011

Statistical modeling and analysis of P2P replication to support VoD service.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

2010
Study on data based tourism management decision support system.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010

2008
Association Rule Mining Based on the Semantic Categories of Tourism Information.
Proceedings of the Advances in Neural Networks, 2008

Constructing Tourism Association Words Set Based on Association Rule Mining.
Proceedings of the Fourth International Conference on Natural Computation, 2008

2007
Adaptive Scheduling Strategy for Data Stream Management System.
Proceedings of the Advances in Data and Web Management, 2007

A Simple Model for Analyzing P2P Streaming Protocols.
Proceedings of the IEEE International Conference on Network Protocols, 2007

2006
An Effective Scheduling Algorithm for Homogeneous System.
Proceedings of the Grid and Cooperative Computing, 2006


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