Song Guo is a chair professor in the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST). Before joining HKUST in 2023, he was a Professor at The Hong Kong Polytechnic University. He also holds a Changjiang Chair Professorship in Wuhan University, awarded by the Ministry of Education of China.
- Tel: (852) 2358 8833
- Email: songguo@cse.ust.hk
- Office: CYT Room 3006A
- Personal Website
Latest
- Cross-modal Representation Flattening for Multi-modal Domain Generalization
- Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing
- Detached and Interactive Multimodal Learning
- FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model
- SFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization
- Matching Gains with Pays: Effective and Fair Learning in Multi-Agent Public Goods Dilemmas
- Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection
- VSource Prompt Disentangled Inversion for Boosting Image Editability with Diffusion Models
- VeriDKG: A Verifiable SPARQL Query Engine for Decentralized Knowledge Graphs
- ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning
- Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models
- Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization
- Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring
- C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation
- DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
- DEthna: Accurate Ethereum Network Topology Discovery with Marked Transactions
- Expediting In-Network Federated Learning by Voting-Based Consensus Model Compression
- Gecko: Resource-Efficient and Accurate Queries in Real-Time Video Streams at the Edge
- OTAS: An Elastic Transformer Serving System via Token Adaptation
- GradFilt: Class-wise Targeted Data Reconstruction from Gradients in Federated Learning
- Poisoning Attack on Federated Knowledge Graph Embedding
- Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
- ptimus: Warming Serverless ML Inference via Inter-Function Model Transformation
- Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning
- On the Robustness of Neural-enhanced Video Streaming Against Adversarial Attacks
- ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning
- Boosting Dynamic Decentralized Federated Learning by Diversifying Model Sources
- Fission Spectral Clustering Strategy For UAV Swarm Networks
- Multimodal Dual-embedding Networks for Malware Open-set Recognition
- Achieving Efficient and Privacy-Preserving Location-Based Task Recommendation in Spatial Crowdsourcing
- AoI-Aware, Digital Twin-Empowered IoT Query Services in Mobile Edge Computing
- Caching User-Generated Content in Distributed Autonomous Networks via Contextual Bandit
- Chiron: A Robustness-aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning
- Dynamic Network Slice for Bursty Edge Traffic
- Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing
- Fast-Convergent Wireless Federated Learning: A Voting Based Topk Model Compression Approach
- FutureDID: A Fully Decentralized Identity System with Multi-Party Verification
- Group Task Recommendation in Mobile Crowdsensing: An Attention-based Neural Collaborative Approach
- Mobility-Aware Utility Maximization in Digital Twin-Enabled Serverless Edge Computing
- PASS: Patch Automatic Skip Scheme for Efficient On-device Video Perception
- Peak AoI Minimization with Directional Charging for Data Collection at Wireless-Powered Network Edge
- Rethinking Personalized Client Collaboration in Federated Learning
- Towards Real-Time Inference Offloading with Distributed Edge Computing: the Framework and Algorithms
- Trusted Sharing of Computing Power Resources: Benefit-Driven Heterogeneous Network Service Provision Mechanism
- VSpatial: Enabling Private and Verifiable Spatial Keyword-based Positioning in 6G-oriented IoT
- SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models
- Towards Test-Time Refusals via Concept Negation
- LHNet: A Low-cost Hybrid Network for Single Image Dehazing
- GriDB: Scaling Blockchain Database via Sharding and Off-Chain Cross-Shard Mechanism
- Investigating Trojan Attacks on Pre-trained Language Model-powered Database Middleware
- Anchor Sampling for Federated Learning with Partial Client Participation
- Towards Unbiased Training in Federated Open-world Semi-supervised Learning
- TradeFL: A Trading Mechanism for Cross-Silo Federated Learning
- Development of Deep Learning Algorithms for Automated Scoliosis and Abnormal Posture Screening Using 2D Back Image
- Optimizing Average AoI with Directional Charging for Wireless-Powered Network Edge
- (ML)2P-Encoder: On Exploration of Channel-class Correlation for Multi-label Zero-shot Learning
- Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
- PMR: Prototypical Modal Rebalance for Multimodal Learning
- Latency-Optimal Pyramid-based Joint Communication and Computation Scheduling for Distributed Edge Computing
- PROPHET: Conflict-Free Sharding Blockchain via Byzantine-Tolerant Deterministic Ordering
- pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning
- Graph Knows Unknowns: Reformulate Zero-shot Learning as Sample-level Graph Recognition
- MGIA: Mutual Gradient Inversion Attack In Multi-modal Federated Learning
- PASS: Patch Automatic Skip Scheme for Efficient Real-time Video Perception on Edge Devices
- NANO: Cryptographic Enforcement of Readability and Editability Governance in Blockchain Databases
- Mobility-aware Proactive Flow Setup in Software-Defined Mobile Edge Networks
- Adaptive Double-Spending Attacks on PoW-based Blockchains
- An Optimized Sparse Response Mechanism for Differentially Private Federated Learning
- Digital Twin-Enabled Service Provisioning in Continual Edge Learning
- From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization
- Joint Beamformer Design and User Scheduling for Integrated Terrestrial-Satellite Networks
- Long-term Adaptive VCG Auction Mechanism for Sustainable Federated Learning with Periodical Client Shifting
- Mobile Collaborative Learning over Opportunistic Internet of Vehicles
- Mobile Collaborative Learning over Opportunistic Internet of Vehicles
- POTA: Privacy-Preserving Online Multi-Task Assignment With Path Planning
- PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models - Federated Learning in Age of Foundation Model
- RuleDRL: Reliability-Aware SFC Provisioning with Bounded Approximations in Dynamic Environments
- Towards Data-independent Knowledge Transfer in Model-heterogeneous Federated Learning
- Towards Real-Time Inference Offloading with Distributed Edge Computing: the Framework and Algorithms
- Tree Learning: Towards Promoting Coordination in Scalable Multi-Client Training Acceleration
- UTDNet: A Unified Triplet Decoder Network for Multimodal Salient Object Detection
- Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning
- Achieving Scalability and Load Balance across Blockchain Shards for State Sharding
- Parallel Network Slicing for Multi-SP Services
- A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
- Personalized Federated Learning with Contextualized Generalization
- AoI Minimization Charging at Wireless-Powered Network Edge
- Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression
- Sustainable Federated Learning with Long-term Online VCG Auction Mechanism
- CYCLE: Sustainable Off-Chain Payment Channel Network with Asynchronous Rebalancing
- Hare: Exploiting Inter-job and Intra-job Parallelism of Distributed Machine Learning on Heterogeneous GPUs
- Layer-wised Model Aggregation for Personalized Federated Learning
- On the Joint Optimization of Function Assignment and Communication Scheduling toward Performance Efficient Serverless Edge Computing
- An Online Throughput Maximization for Green Coordinated Multi-piont System
- BrokerChain: A Cross-Shard Blockchain Protocol for Account/Balance-based State Sharding
- Protect Privacy from Gradient Leakage Attack in Federated Learning
- Federated Unlearning via Class-Discriminative Pruning
- A Resource-Efficient Feature Extraction Framework for Image Processing in IoT Devices
- A Tag-correlation-based Approach to Fast Identification of Group Tags
- Adaptive Vertical Federated Learning on Unbalanced Features
- An Online Zero-Forcing Precoder for Weighted Sum-Rate Maximization in Green CoMP Systems
- Budget-Aware User Satisfaction Maximization on Service Provisioning in Mobile Edge Computing
- Collaborative Machine Learning: Schemes, Robustness and Privacy
- Digital Twin-Assisted, SFC-Enabled Service Provisioning in Mobile Edge Computing
- Efficient and Secure Deep Learning Inference in Trusted Processor enabled Edge Clouds
- Efficient Integrity Authentication Scheme for Large-scale RFID Systems
- EGraph: Efficient Concurrent GPU-based Large-scale Dynamic Graph Processing
- Elastic Resource Allocation against Imbalanced Transaction Assignments in Sharding-based Permissioned Blockchains
- Game Theoretical Task Offloading for Profit Maximization in Mobile Edge Computing
- HearMe: Accurate and Real-time Lip Reading based on Commercial RFID Devices
- Heterogeneity-aware Gradient Coding for Tolerating and Leveraging Stragglers
- L4L: Experience-Driven Computational Resource Control in Federated Learning
- Mean-Field Learning for Edge Computing in Mobile Blockchain Networks
- Minimizing the Age-of-Critical-Information: An Imitation Learning-based Scheduling Approach Under Partial Observations
- More Than Scheduling: Novel and Efficient Coordination Algorithms for Multiple readers in RFID Systems
- MSTDB- A Hybrid Storage-empowered Scalable Semantic Blockchain Database
- Multi-Agent Reinforcement Learning Aided Computation Offloading in Aerial Computing for the Internet-of-Things
- Optimizing Video Caching at the Edge: A Hybrid Multi-Point Process Approach
- PS+: A Simple yet Effective Framework for Fast Training on Parameter Server
- Real-time and Accurate Gesture Recognition with Commercial RFID Devices
- RF-Siamese: Approaching Accurate RFID Gesture Recognition With One Sample
- Scaling Blockchain via Layered Sharding
- Towards Predictive Forwarding Strategy in Vehicular Named Data Networking
- Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention
- Parameterized Knowledge Transfer for Personalized Federated Learning
- Lasagna: Accelerating Secure Deep Learning Inference in SGX-enabled Edge Cloud
- Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning
- Incentive-Driven Long-term Optimization for Edge Learning by Hierarchical Reinforcement Mechanism
- MVCom: Scheduling Most Valuable Committees for the Large-Scale Sharded Blockchain
- Towards Efficient Inference: Adaptively Cooperate in Heterogeneous IoT Edge Cluster
- No Wait, No Waste: A Novel and Efficient Coordination Algorithm for Multiple readers in RFID Systems
- Revisiting Double-Spending Attacks on the Bitcoin Blockchain: New Findings
- A Lightweight Integrity Authentication Approach for RFID-enabled Supply Chains
- Exploring Layered Container Structure for Cost Efficient Microservice Deployment
- Pyramid: A Layered Sharding Blockchain System
- Adaptive Federated Learning on Non-IID Data with Resource Constraint
- Blockchain-enabled Intelligent Transportation Systems: A Distributed Crowdsensing Framework
- Boost Sum-Product Performance for Multiuser Detection in mMTC at Millimeter Wave
- Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario
- Dynamic Computation Offloading and Server Deployment for UAV-Enabled Multi-Access Edge Computing
- Dynamic UAV Deployment for Differentiated Services: A Multi-Agent Imitation Learning Based Approach
- Partial Synchronization to Accelerate Federated Learning over Relay-Assisted Edge Networks
- Receive Only Necessary: Efficient Tag Category Identification in Large-scale RFID Systems
- Server Placement for Edge Computing: A Robust Submodular Maximization Approach
- Throughput Maximization of Delay-Aware DNN Inference in Edge Computing by Exploring DNN Model Partitioning and Inference Parallelism
- Distributed and Dynamic Service Placement in Pervasive Edge Computing Networks
- Intermittent Pulling with Local Compensation for Communication-Efficient Distributed Learning
- Virtual Network Function Service Provisioning in MEC via Trading Off the Usages between Computing and Communication Resources
- Petrel: Heterogeneity- aware Distributed Deep Learning via Hybrid Synchronization
- Canary: Decentralized Distributed Deep Learning via Gradient Sketch and Partition in Multi-interface Networks
- PIRATE: A Blockchain- based Secure Framework of Distributed Machine Learning in 5G Networks
- A Graph Learning based Approach for Identity Inference in DApp Platform Blockchain
- Multi-agent Imitation Learning for Pervasive Edge Computing: A Decentralized Computation Offloading Algorithm
- Accurate Respiration Monitoring for Mobile Users with Commercial RFID Devices
- Fast and Reliable Dynamic Tag Estimation in Large-Scale RFID Systems
- Surveillance Plane Aided Air-Ground Integrated Vehicular Networks: Architectures, Applications, and Potential
- Pedagogical Data Analysis via Federated Learning Toward Education 4.0
- Imitation Learning Enabled Task Scheduling for Online Vehicular Edge Computing
- Edge QoE: Intelligent Big Data Caching via Deep Reinforcement Learning
- A Survey of State-of-the-Art on Blockchains: Theories, Modelings, and Tools
- Networking Integrated Cloud-Edge-End in IoT: A Blockchain-Assisted Collective Learning Approach
- Mobility-Aware and Delay-Sensitive Service Provisioning in Mobile Edge-Cloud Networks
- Cache-Assisted Content Delivery in Wireless Networks: A New Game Theoretic Models
- Spacechain: A Three-Dimensional Blockchain Architecture for IoT Security
- Service Function Chain Deployment and Network Flow Scheduling in Geo-Distributed Data Centers
- Two-Layer Game Based Resource Allocation in Cloud Based Integrated Terrestrial-Satellite Networks
- Online Computation Offloading and Traffic Routing for UAV Swarms in Edge-Cloud Computing
- Task Scheduling for Energy Consumption Constrained Parallel Applications on Heterogeneous Computing Systems
- Big Data Analytics by CrowdLearning: Architecture and Mechanism Design
- QoE-Based Cooperative Task Offloading with Deep Reinforcement Learning in Mobile Edge Networks
- A Learning-Based Approach to Intra-Domain QoS Routing
- Augmenting Drive-Thru Internet via Reinforcement Learning-Based Rate Adaptation
- A Novel Perspective to Zero-Shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion
- Cross-Cloud MapReduce for Big Data
- Near-Optimal Deployment of Service Chains by Exploiting Correlations Between Network Functions
- Blockchain Meets Edge Computing: Stackelberg Game and Double Auction Based Task Offloading for Mobile Blockchain
- Joint DNN Partition Deployment and Resource Allocation for Delay-Sensitive Deep Learning Inference in IoT
- A Service-Oriented Permissioned Blockchain for the Internet of Things
- Blockchain Meets Edge Computing: A Distributed and Trusted Authentication System
- Falcon: Addressing Stragglers in Heterogeneous Parameter Server via Multiple Parallelism
- A Novel Perspective to Zero-Shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion
- A Continuous-Decision Virtual Network Embedding Scheme Relying on Reinforcement Learning
- Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions
- Intelligent VNF Orchestration and Flow Scheduling via Model-Assisted Deep Reinforcement Learning
- Tornado: Enabling Blockchain in Heterogeneous Internet of Things Through a Space-Structured Approach
- Machine fault detection for intelligent self-driving networks
- A Deep Reinforcement Learning Based Offloading Game in Edge Computing
- A Learning-Based Incentive Mechanism for Federated Learning
- A Cyclic Game for Service-Oriented Resource Allocation in Edge Computing
- A Game-based Network Slicing and Resource Scheduling for Compute First Networking
- Adaptive and Fault-Tolerant Data Processing in Healthcare IoT Based on Fog Computing
- An Online Pricing Strategy of EV Charging and Data Caching in Highway Service Stations
- Autonomous Rate Control for Mobile Internet of Things: A Deep Reinforcement Learning Approach
- Blockchain-based Participant Selection for Federated Learning
- Cost-Efficient Service Provisioning for Mobile Applications in Cloudlet Networks
- Dual-view Attention Networks for Single Image Super-Resolution
- Dynamic Resource Allocation for Hierarchical Federated Learning
- Incentive Scheme for Cyber Physical Social Systems Based on User Behaviors
- Learning-Based Network Boolean Tomography for Identifying Congested Links with Correlations
- Multi-agent Actor-Critic Reinforcement Learning Based In-network Load Balance
- Offloading Federated Learning Task to Edge Computing with Trust Execution Environment
- Redundancy Avoidance for Big Data in Data Centers: A Conventional Neural Network Approach
- Renewable Energy-Aware Big Data Analytics in Geo-Distributed Data Centers with Reinforcement Learning
- SkyChain: A Deep Reinforcement Learning-Empowered Dynamic Blockchain Sharding System
- Why Queue Up? Fast Parallel Search of RFID Tags for Multiple Users
- When Blockchain-Enabled Internet of Things Meets Cloud Computing
- A cyclic game for joint cooperation and competition of edge resource allocation
- Deep reinforcement learning based VNF management in geo-distributed edge computing
- Falcon: Towards computation-parallel deep learning in heterogeneous parameter server
- Heterogeneity-aware gradient coding for straggler tolerance
- Service Demand Prediction with Incomplete Historical Data
- AI routers network mind: A hybrid machine learning paradigm for packet routing
- Energy Minimization of Resource Allocation in Cloud-Based Satellite Communication Networks
- Coflow-like Online Data Acquisition from Low-Earth-Orbit Datacenters
- CMU-VP: cooperative multicast and unicast with viewport prediction for VR video streaming in 5G H-CRAN
- Reactor: Real-time and accurate contactless gesture recognition with RFID
- Optimal Connected Cruise Control With Arbitrary Communication Delays
- AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning
- Osp: Overlapping computation and communication in parameter server for fast machine learning
- Collaboration of Heterogeneous Unmanned Vehicles for Smart Cities
- Vital Signs Monitoring with RFID: Opportunities and Challenges
- Fast coflow scheduling via traffic compression and stage pipelining in datacenter networks
- A Q-Learning Based Framework for Congested Link Identification
- Cloud Computing Assisted Blockchain-Enabled Internet of Things
- Data-driven intelligent future network: Architecture, use cases, and challenges
- Dual: Deploy stateful virtual network function chains by jointly allocating data-control traffic
- An intelligent approach to energy efficient transportation and QoS routing
- Resource Allocation of Multibeam Communication Satellite Systems in Sparse Networks
- Multi-hop cooperative computation offloading for industrial IoT--edge--cloud computing environments
- Disclosing and Locating Concurrency Bugs of Interrupt-Driven IoT Programs
- Joint multigroup precoding and resource allocation in integrated terrestrial-satellite networks
- A comprehensive survey of blockchain: From theory to IoT applications and beyond
- Efficient data placement and replication for QoS-aware approximate query evaluation of big data analytics
- A Differential Privacy-based Query Model for Sustainable Fog Data Centers
- Utility Based Data Computing Scheme to Provide Sensing Service in Internet of Things
- Maximizing Throughput of Delay-Sensitive NFV- Enabled Request Admissions via Virtualized Network Function Placement
- Proactive Failover for NFV in Edge Networks
- Profit Maximization for Admitting Requests with Network Function Services in Distributed Clouds
- Adaptive adjustment with semantic feature space for zero-shot recognition
- EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach
- Trust-enhanced content delivery in blockchain-based information-centric networking
- Green data-collection from geo-distributed IoT networks through low-earth-orbit satellites
- Big Data Processing with Minimal Delay and Guaranteed Data Resolution in Disaster Areas
- Enabling Heterogeneous Network Function Chaining
- Making Big Data Open in Edges: A Resource-Efficient Blockchain-based Approach
- When UAV Swarm Meets EdgeCloud Computing: The QoS Perspective
- Nothing blocks me: Precise and real-time LOS/NLOS path recognition in RFID systems
- Fairness-aware Dynamic Rate Control and Flow Scheduling for Network Utility Maximization in Network Service Chain
- Influence maximization by leveraging the crowdsensing data in information diffusion network
- Efficient NFV-Enabled Multicasting in SDNs
- Robust Big Data Analytics for Electricity Price Forecasting in the Smart Grid
- Spectrum Sensing and Recognition in Satellite Systems
- A Queueing Analysis of the Opportunistic Vehicle-to-Vehicle Communication
- Efficient Rate Adaptation for 802.11af TVWS Vehicular Access via Deep Learning
- Enhanced Irregular Repetition Slotted ALOHA with Degree Distribution Adjustment in Satellite Network
- QoS-Aware Cooperative Computation Offloading for Robot Swarms in Cloud Robotics
- Analyzing and disentangling interleaved interrupt-driven IoT programs
- When green energy meets cloud radio access network: Joint optimization towards brown energy minimization
- Range-based Localization for Sparse 3-D Sensor Networks
- Traffic and Computation Co-Offloading with Reinforcement Learning in Fog Computing for Industrial Applications
- Joint workload scheduling and energy management for green data centers powered by fuel cells
- Cooperative transmission in integrated terrestrial-satellite networks
- Multi-Controller Resource Management for Software-Defined Wireless Networks
- Cooperative caching for multiple bitrate videos in small cell edges
- Mobility-Aware Delay-Sensitive Service Provisioning for Mobile Edge Computing
- Poster Abstract: C-Continuum: Edge-to-Cloud Computing for Distributed AI
- Virtual Network Function Service Provisioning for Offloading Tasks in MEC by Trading off Computing and Communication Resource Usages
- Posted pricing for chance constrained robust crowdsensing
- Secure wireless communications based on compressive sensing: a survey
- Dynamic allocation of power delivery paths in consolidated data centers based on adaptive UPS switching
- RDAM: A Reinforcement Learning Based Dynamic Attribute Matrix Representation for Virtual Network Embedding
- Machine-Learning-Based Online Distributed Denial-of-Service Attack Detection Using Spark Streaming
- Converged Network-Cloud Service Composition with End-to-End Performance Guarantee
- MeLoDy: A Long-term Dynamic Qualityaware Incentive Mechanism for Crowdsourcing
- Enhanced Passcode Recognition Based on Press Force and Time Interval
- Green Resource Allocation Based on Deep Reinforcement Learning in Content-Centric IoT
- A Survey on Sensor Placement for Contamination Detection in Water Distribution Systems
- Envisioned Wireless Big Data Storage for Low-Earth-Orbit Satellite-based Cloud
- Online Unicasting and Multicasting in Software-Defined Networks
- Two-Phase Task Scheduling in Data Relay Satellite Systems
- An Efficient Method for Optimizing PETSc on the Sunway TaihuLight System
- Energy Management of Data Centers Powered by Fuel Cells and Heterogeneous Energy Storage
- ISAECC: An Improved Scheduling Approach for Energy Consumption Constrained Parallel Applications on Heterogeneous Distributed Systems
- Joint Computation Offloading and Routing Optimization for UAV-Edge-Cloud Computing Environments
- Making Big Data Open in Collaborative Edges: {A} Blockchain-Based Framework with Reduced Resource Requirements
- Online Green Data Gathering from Geo-Distributed IoT Networks via LEO Satellites
- Profit Maximization of NFV-Enabled Request Admissions in SDNs
- ran-GJS: Orchestrating Data Analytics for Heterogeneous Geo-distributed Edges
- Spatial Angular Spectrum Sensing for Non-Geostationary Satellite Systems
- Stochastic Scheduling Towards Cost Efficient Network Function Virtualization in Edge Cloud
- Swallow: Joint Online Scheduling and Coflow Compression in Datacenter Networks
- Throughput Maximization of Delay-Sensitive Request Admissions via Virtualized Network Function Placements and Migrations
- Achieving Sustainable Ultra-Dense Heterogeneous Networks for 5G
- Cooperative QoS Beamforming for Multicast Transmission in Terrestrial-Satellite Networks
- Energy-Efficient Event Detection by Participatory Sensing under Budget Constraints
- Online Internet Traffic Measurement and Monitoring Using Spark Streaming
- Secure Multimedia Big Data in Trust-Assisted Sensor-Cloud for Smart City
- TDRSS Scheduling Algorithm for Non-uniform Time-Space Distributed Missions
- Detecting Android Malware Based on Extreme Learning Machine
- Pinpointing Anomaly RFID Tags: Situation and Opportunities
- Efficient Trustworthiness Management for Malicious User Detection in Big Data Collection
- Crowdsourcingbased Content-Centric Network: A Social Perspective
- MeLoDy: A Selective Privacy Preserving Approach for Multimedia Data
- Online Shuffling with Task Duplication in the Cloud
- Strategic Anti-Eavesdropping Game for Physical Layer Security in Wireless Cooperative Networks
- Top-k Queries for Categorized RFID Systems
- Green C-RAN: A Joint Approach to the Design and Energy Optimization
- Robust Secure Beamforming for Cognitive Satellite Terrestrial Networks at Millimeter-Wave Frequency
- Improving power efficiency for online video streaming service: A self-adaptive approach
- A reliable task assignment strategy for spatial crowdsourcing in big data environment
- Approximation and Online Algorithms for NFV-Enabled Multicasting in SDNs
- MELODY: A Long-term Dynamic Qualityaware Incentive Mechanism for Crowdsourcing
- Selective Traffic Offloading On the Fly: A Machine Learning Approach
- Resource management at the network edge: A deep reinforcement learning approach
- A Pre-Authentication Approach to Proxy Re-encryption in Big Data Context
- Optimal Transmission Strategy for Sensors to Defend against Eavesdropping and Jamming Attacks
- Preemptive Dynamic Scheduling Algorithm for Data Relay Satellite Systems
- Robust Large-Scale Spectrum Auctions against False-Name Bids
- Service Provisioning Update Scheme for Mobile Application Users in a Cloudlet Network
- Traffic-aware Task Placement with Guaranteed Job Completion Time for Geo-distributed Big Data
- Resilient information management system for disaster situations
- A Game Theoretic Approach to Parked Vehicle Assisted Content Delivery in Vehicular Ad Hoc Networks
- Engineering a Game Theoretic Access for Urban Vehicular Networks
- Spectrum-Aware Network Coded Multicast in Mobile Cognitive Radio Ad Hoc Networks
- Traffic-Aware Geo-Distributed Big Data Analytics with Predictable Job Completion Time
- Vehicle-Assist Resilient Information and Network System for Disaster Management
- Online Scheduling of Mobile Stations for Disaster Management
- Optimal Satellite Scheduling with Critical Node Analysis
- A Survey on Energy Internet Communications for Sustainability
- Anti-Eavesdropping with Selfish Jamming in Wireless Networks: A Bertrand Game Approach
- Efficient Algorithms for Throughput Maximization in Software-Defined Networks With Consolidated Middleboxes
- Optimization of Deployable Base Stations With Guaranteed QoE in Disaster Scenarios
- Big Data Analytics for Price Forecasting in Smart Grids
- Stochastic Analysis on the Deactivation-Controlled Epidemic Routing in DTNs with Multiple Sinks
- Temporal Factor-Aware Video Affective Analysis and Recommendation for Cyber-Based Social Media
- Traffic scheduling for deep packet inspection in software-defined networks
- Service Chaining for Hybrid Network Function
- Adaptive Service Provisioning for Mobile Edge Cloud
- Take Renewable Energy into CRAN toward Green Wireless Access Networks
- Throughput Maximization in Software-Defined Networks with Consolidated Middleboxes
- Traffic scheduling for deep packet inspection in software‐defined networks
- Software-Defined Data Shuffling for Big Data Jobs with Task Duplication
- Energy-Efficient Power Control for Device-to-Device Communications with Max-Min Fairness
- Cost-Efficient Service Provisioning for Mobile Applications in Cloudlet Networks
- Information Management System Used in Network Isolated Environment
- Dynamic routing for network throughput maximization in software-defined networks
- Joint middlebox selection and routing for software-defined networking
- Joint optimization on switch activation and flow routing towards energy efficient software defined data center networks
- Mobility Prediction Based Joint Stable Routing and Channel Assignment for Mobile Ad Hoc Cognitive Networks
- A General Communication Cost Optimization Framework for Big Data Stream Processing in Geo-distributed Data Centers
- A Truthful Double Auction for Device-to-device Communications in Cellular Networks
- Fault-Tolerant Visual Secret Sharing Schemes without Pixel Expansion
- Maximizing Lifetime of Data-Gathering Trees With Different Aggregation Modes in WSNs
- Trajectory and Data Planning for Mobile Relay to Enable Efficient Internet Access after Disasters
- A MapReduce based Parallel Niche Genetic Algorithm for Contaminant Source Identification in Water Distribution Network
- Joint Optimization of Rule Placement and Traffic Engineering for QoS Provisioning in Software Defined Network
- Opportunistic Offloading of Deadline-Constrained Bulk Cellular Traffic in Vehicular DTNs
- Spread Spectrum Based High Embedding Capacity Watermarking Method for Audio Signals
- Energy Minimization in Multi-Task Software-Defined Sensor Networks
- Aggregation on the Fly: Reducing Traffic for Big Data in Cloud
- Exploiting Small World Properties for Message Forwarding in Delay Tolerant Networks
- Software-Defined Wireless Mesh Networks: Architecture and Traffic Orchestration
- An Improved Stochastic Modeling of Opportunistic Routing in Vehicular CPS
- An artificial bee colony algorithm for data collection path planning in sparse wireless sensor networks
- A New Visual Multi-Secrets Sharing Scheme by Adding Fragments
- Just-in-Time Code Offloading for Wearable Computing
- ALETHEIA: Robust Large-Scale Spectrum Auctions against False-name Bids
- Capacitated Cloudlet Placements in Wireless Metropolitan Area Networks
- eBay in the Clouds: False-name-proof Auctions for Cloud Resource Allocation
- Energy Minimization for Cellular Network Interfaces with Dynamic Link Quality
- Energy-aware Cost-effective Cooperative Mobile Streaming on Smartphones over Hybrid Wireless Networks
- FDRC: Flow-Driven Rule Caching Optimization in Software Defined Networking
- Implementation of Demand-Addressable Sensor Network Realizing Demand-Driven Wide-Area Sensing
- Joint Optimization of VM Placement and Request Distribution for Electricity Cost Cut in Geo-distributed Data Center
- Minimizing Inter-VM Communication Cost in Data Centers with VM Placement
- Multi-Flow Oriented Packets Scheduling in OpenFlow Enabled Networks
- On-Demand Customizable Wireless Sensor Network
- Relay Placement for Latency Minimization in Delay Tolerant Networks