ORCID Profile
0000-0003-1533-0865
Current Organisation
Macquarie University
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Information Systems | Information Systems Development Methodologies | Pattern Recognition and Data Mining | Networking and Communications
ANZSRC Socio-Economic Objective (SEO)
Film and Video Services (excl. Animation and Computer Generated Imagery) | Information Processing Services (incl. Data Entry and Capture) | Internet Broadcasting |
Related Links
Publications
Exploring Coding Benefits in CDN-Based VoD Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2014
Replicating Coded Content in Crowdsourcing-based CDN Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2017
A Fast Blockchain-Based Federated Learning Framework With Compressed Communications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
AMBR
Publisher: Springer International Publishing
Date: 2020
Analyzing streaming performance in crowdsourcing-based video service systems
Publisher: IEEE
Date: 04-2015
Social-group-based ranking algorithms for cold-start video recommendation
Publisher: Springer Science and Business Media LLC
Date: 19-07-2016
Communication compression techniques in distributed deep learning
Publisher: Elsevier BV
Date: 09-2023
Heterogeneous Edge Offloading With Incomplete Information: A Minority Game Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2020
On Model Transmission Strategies in Federated Learning With Lossy Communications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
A survey of federated evaluation in federated learning
Publisher: International Joint Conferences on Artificial Intelligence Organization
Date: 08-2023
Modeling dynamics of online video popularity
Publisher: IEEE
Date: 06-2016
Analytical QoE models for bit-rate switching in dynamic adaptive streaming systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2014
Generating High-quality Movie Tags from Social Reviews: A Learning-driven Approach
Publisher: IEEE
Date: 12-2021
DOI: 10.1109/ITHINGS-GREENCOM-CPSCOM-SMARTDATA-CYBERMATICS53846.2021.00040
An Optimized Sparse Response Mechanism for Differentially Private Federated Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Exploring the Practicality of Differentially Private Federated Learning: A Local Iteration Tuning Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
LiveSR: Enabling Universal HD Live Video Streaming With Crowdsourced Online Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Learning Driven Computation Offloading for Asymmetrically Informed Edge Computing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2019
Optimizing Video Caching at the Edge: A Hybrid Multi-Point Process Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Context-aware video recommendation by mining users' view preferences based on access points
Publisher: ACM
Date: 20-06-2017
Modeling streaming QoE in wireless networks with large-scale measurement of user behavior
Publisher: IEEE
Date: 12-2015
Unveiling Latent Behaviors of Video Viewers with Cross-Platform Information
Publisher: ACM
Date: 20-06-2017
Statistical modeling and analysis of P2P replication to support VoD service
Publisher: IEEE
Date: 04-2011
Collaboratively Replicating Encoded Content on RSUs to Enhance Video Services for Vehicles
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2021
A simple model for chunk-scheduling strategies in P2P streaming
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2011
Exploiting user reviews for automatic movie tagging
Publisher: Springer Science and Business Media LLC
Date: 06-01-2020
Analysis of user behavior in a large-scale VoD system
Publisher: ACM
Date: 20-06-2017
Division-of-labor between server and P2P for streaming VoD
Publisher: IEEE
Date: 06-2012
Smart streaming for online video services
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2015
Analysis and detection of fake views in online video services
Publisher: Association for Computing Machinery (ACM)
Date: 24-02-2015
DOI: 10.1145/2700290
Abstract: Online video-on-demand(VoD) services invariably maintain a view count for each video they serve, and it has become an important currency for various stakeholders, from viewers, to content owners, advertizers, and the online service providers themselves. There is often significant financial incentive to use a robot (or a botnet) to artificially create fake views. How can we detect fake views? Can we detect them (and stop them) efficiently? What is the extent of fake views with current VoD service providers? These are the questions we study in this article. We develop some algorithms and show that they are quite effective for this problem.
BARA
Publisher: International Joint Conferences on Artificial Intelligence Organization
Date: 08-2023
Crowdsourced Time-Sync Video Recommendation via Semantic-Aware Neural Collaborative Filtering
Publisher: Springer International Publishing
Date: 2019
On the “familiar stranger” phenomenon in a large-scale VoD system
Publisher: IEEE
Date: 05-2017
Leveraging Multi-view Learning for Human Anomaly Detection in Industrial Internet of Things
Publisher: IEEE
Date: 11-2020
DOI: 10.1109/ITHINGS-GREENCOM-CPSCOM-SMARTDATA-CYBERMATICS50389.2020.00095
Virtual reality: A survey of enabling technologies and its applications in IoT
Publisher: Elsevier BV
Date: 03-2021
A Unifying Model and Analysis of P2P VoD Replication and Scheduling
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2015
CREAT: Blockchain-Assisted Compression Algorithm of Federated Learning for Content Caching in Edge Computing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-08-2022
An adaptive cloud downloading service
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2013
PPVC: Online Learning Toward Optimized Video Content Caching
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2022
A study of user behavior in online VoD services
Publisher: Elsevier BV
Date: 06-2014
A lifetime model of online video popularity
Publisher: IEEE
Date: 08-2014
Design, Implementation, and Measurement of a Crowdsourcing-Based Content Distribution Platform
Publisher: Association for Computing Machinery (ACM)
Date: 08-11-2016
DOI: 10.1145/2978655
Abstract: Content distribution, especially the distribution of video content, unavoidably consumes bandwidth resources heavily. Internet content providers invest heavily in purchasing content distribution network (CDN) services. By deploying tens of thousands of edge servers close to end users, CDN companies are able to distribute content efficiently and effectively, but at considerable cost. Thus, it is of great importance to develop a new system that distributes content at a lower cost but comparable service quality. In lieu of expensive CDN systems, we implement a crowdsourcing-based content distribution system, Thunder Crystal, by renting bandwidth for content upload/download and storage for content cache from agents. This is a large-scale system with tens of thousands of agents, whose resources significantly lify Thunder Crystal’s content distribution capacity. The involved agents are either from ordinary Internet users or enterprises. Monetary rewards are paid to agents based on their upload traffic so as to motivate them to keep contributing resources. As far as we know, this is a novel system that has not been studied or implemented before. This article introduces the design principles and implementation details before presenting the measurement study. In summary, with the help of agent devices, Thunder Crystal is able to reduce the content distribution cost by one half and lify the content distribution capacity by 11 to 15 times.
Modeling buffer starvations of video streaming in cellular networks with large-scale measurement of user behavior
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2017
Modeling streaming QoE in wireless networks with large-scale measurement of user behavior
Publisher: IEEE
Date: 12-2015
Accelerating Federated Learning via Parallel Servers: A Theoretically Guaranteed Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2022
Optimizing the Numbers of Queries and Replies in Convex Federated Learning with Differential Privacy
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Incentive-Aware Autonomous Client Participation in Federated Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2022
Efficient P2P video distribution by peer reorganization
Publisher: IEEE
Date: 2014
DeepFusion
Publisher: Springer Science and Business Media LLC
Date: 19-03-2020
Gain Without Pain: Offsetting DP-Injected Noises Stealthily in Cross-Device Federated Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-11-2022
A Blockchain-Based Containerized Edge Computing Platform for the Internet of Vehicles
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-02-2021
AdaFed: Optimizing Participation-Aware Federated Learning With Adaptive Aggregation Weights
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Offloading Elastic Transfers to Opportunistic Vehicular Networks Based on Imperfect Trajectory Prediction
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2023
Social group based video recommendation addressing the cold-start problem
Publisher: Springer International Publishing
Date: 2016
Optimal rate adaption in federated learning with compressed communications
Publisher: IEEE
Date: 02-05-2022
Sparkle: User-Aware Viewport Prediction in 360-Degree Video Streaming
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2021
Exploring Popularity Predictability of Online Videos With Fourier Transform
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
An Adaptive Online Scheme for Scheduling and Resource Enforcement in Storm
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2019
Optimizing Parameter Mixing Under Constrained Communications in Parallel Federated Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
User Behavior Analysis and Video Popularity Prediction on a Large-Scale VoD System
Publisher: Association for Computing Machinery (ACM)
Date: 27-06-2018
DOI: 10.1145/3226035
Abstract: Understanding streaming user behavior is crucial to the design of large-scale Video-on-Demand (VoD) systems. In this article, we begin with the measurement of in idual viewing behavior from two aspects: the temporal characteristics and user interest. We observe that active users spend more hours on each active day, and their daily request time distribution is more scattered than that of the less active users, while the inter-view time distribution differs negligibly between two groups. The common interest in popular videos and the latest uploaded videos is observed in both groups. We then investigate the predictability of video popularity as a collective user behavior through early views. In the light of the limitations of classical approaches, the Autoregressive-Moving-Average (ARMA) model is employed to forecast the popularity dynamics of in idual videos at fine-grained time scales, thus achieving much higher prediction accuracy. When applied to video caching, the ARMA-assisted Least Frequently Used (LFU) algorithm can outperform the Least Recently Used (LRU) by 11--16%, the well-tuned LFU by 6--13%, and the LFU is only 2--4% inferior to the offline LFU in terms of hit ratio.
Understanding and improving perceptual quality of volumetric video streaming
Publisher: IEEE
Date: 07-2023
RAP: A Light-Weight Privacy-Preserving Framework for Recommender Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2022
On the detection of shilling attacks in federated collaborative filtering
Publisher: IEEE
Date: 09-2020
Utility Maximization of Cloud-Based In-Car Video Recording Over Vehicular Access Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2018
Edge Learning for Surveillance Video Uploading Sharing in Public Transport Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2021
TVG-Streaming: Learning User Behaviors for QoE-Optimized 360-Degree Video Streaming
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2021
AutoFL: A Bayesian Game Approach for Autonomous Client Participation in Federated Edge Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Server-assisted adaptive video replication for P2P VoD
Publisher: Elsevier BV
Date: 05-2012
Current Burden of Hepatitis C Virus Infection Among Injecting Drug Users: A Mini Systematic Review of Prevalence Studies
Publisher: Bentham Science Publishers Ltd.
Date: 31-10-2014
DOI: 10.2174/1871526514666141014145612
Abstract: Hepatitis C virus (HCV) infection among injecting drug users (IDUs) is a major public health concern. It is important to know the current burden of HCV infection among IDUs for targeted public health interventions in this high risk population. We systematically reviewed the published literature on prevalence of HCV infections among IDUs between January 1989 and April 2014. Sixty studies met the inclusion criteria for the review and subsequent analysis. Among the selected studies 26,311 IDUs were assessed for HCV infection of which 16,231 were positive, giving an overall prevalence of 61.7% (95% Confidence Interval [95% CI] 61.1-62.3%). Of the selected studies, 21 were from Asia, 20 from Europe, 13 from Americas, 5 from Australia and one from Africa. Combined regional estimates of HCV prevalence among IDUs showed that Africa has the highest mean prevalence of HCV among IDUs (97.3%, 95% CI 95.5-98.4%), however, this estimate was based only on one study from Mauritius. Europe has the second highest mean prevalence (65.9%, 95% CI 64.9-66.9%) followed by Australia (56.5%, 95% CI 53.8-59.2%). Our review suggests that the prevalence of HCV among IDUs is significantly high. There are very limited data from African nations. More comprehensive understanding of HCV epidemiology among IDUs including the risk behaviours are needed for this high risk group.
The Role of Communication Time in the Convergence of Federated Edge Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
A simple model for analyzing P2P streaming protocols
Publisher: IEEE
Date: 10-2007
GECKO
Publisher: Springer International Publishing
Date: 2017
Towards Real-Time Video Caching at Edge Servers: A Cost-Aware Deep Q-Learning Solution
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Towards Cost Minimization With Renewable Energy Sharing in Cooperative Residential Communities
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2017
Boost decentralized federated learning in vehicular networks by diversifying data sources
Publisher: IEEE
Date: 30-10-2022
On replication algorithm in P2P VoD
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2013
Measuring and Analyzing Third-Party Mobile Game App Stores in China
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2016
Boosting Accuracy of Differentially Private Federated Learning in Industrial IoT With Sparse Responses
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Privacy-preserving federated learning framework based on chained secure multi-party computing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-04-2021
Performance Analysis of Thunder Crystal: A Crowdsourcing-Based Video Distribution Platform
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2018
Modeling dynamics of online video popularity
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2016
An effective scheduling algorithm for homogeneous system
Publisher: IEEE
Date: 2006
DOI: 10.1109/GCC.2006.26
Live Migration of Video Analytics Applications in Edge Computing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Video browsing - A study of user behavior in online VoD services
Publisher: IEEE
Date: 07-2013
Interpreting Video Recommendation Mechanisms by Mining View Count Traces
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2018
CDN bandwidth allocation in weakly interconnected networks
Publisher: IEEE
Date: 07-2016
FedDWA
Publisher: International Joint Conferences on Artificial Intelligence Organization
Date: 08-2023
Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous Vehicles
Publisher: IEEE
Date: 10-2021
Turbocharged video distribution via P2P
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2015
Robust Size Estimation of Online Social Networks via Subgraph Sampling
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2020
Generalized core maintenance of dynamic bipartite graphs
Publisher: Springer Science and Business Media LLC
Date: 26-10-2022
A Covert Electricity-Theft Cyberattack Against Machine Learning-Based Detection Models
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2022
Statistical Study of View Preferences for Online Videos With Cross-Platform Information
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2018
A unifying model and analysis of P2P VoD replication and scheduling
Publisher: IEEE
Date: 03-2012
Buffer State is Enough: Simplifying the Design of QoE-Aware HTTP Adaptive Video Streaming
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2018
Video Popularity Dynamics and Its Implication for Replication
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2015
Related Organisations
Related Funding Activities
Discovery Early Career Researcher Award - Grant ID: DE180100950
Start Date: 05-2018
End Date: 12-2022
Amount: $368,446.00
Funder: Australian Research Council
View Funded Activity