Area of research
Computer Networks and Communications · Computer Vision and Pattern Recognition
Research interest
Research interests include Mobile Ad Hoc Networks, Energy Efficient Wireless Sensor Networks, Opportunistic and Delay-Tolerant Networks, and Cooperative Communication and Network Coding.
Quantum-Assisted Resource Management for Data Access in Space-Air-Ground Integrated Networks
Incentive mechanism design in blockchain-based hierarchical federated learning over edge clouds
Communication-Efficient Decentralized Contextual $\mathcal{X}$ -Armed Bandit Learning in Multi-Agent Stochastic Networks
A Tap Is Your Key: Authentication by Tapping on the Face With a Wearable IMU
Swapping and Purification Scheme Optimization for Entanglement Distribution in Quantum Networks
Parachute: Dynamic Resource-Aware Privacy-Preserving Video Analytics on Edge
Special Issue on Quantum Networks
A Quantum Reinforcement Learning Approach for Joint Resource Allocation and Task Offloading in Mobile Edge Computing
Optimal Entanglement Distribution Problem in Satellite-Based Quantum Networks
Quantum-Assisted Online Task Offloading and Resource Allocation in MEC-Enabled Satellite-Aerial-Terrestrial Integrated Networks
Prediction of tunnel face rock mass classification using an ensemble model enhanced by feature cross based on TBM boring data
Quantum-Assisted Joint Virtual Network Function Deployment and Maximum Flow Routing for Space Information Networks
Toward Collaborative Intelligence for Meta-Computing-Driven IIoT Based on Vertical Federated Learning With Fast Convergence
A Novel Physical Spoofing Technique Using Radio Frequency Fingerprint Emulation and Model Fitting
BGEFL: Enabling Communication-Efficient Federated Learning via Bandit Gradient Estimation in Resource-Constrained Networks
A Wearable PPG-Based Monitoring System for Personalized Free Weight Training
Privacy-Preserved and Incentivized Knowledge Sharing for Reinforced-Learning based IoT Platform Security
Intrinsic exchange biased anomalous Hall effect in an uncompensated antiferromagnet MnBi2Te4
Hybrid Quantum–Classical Benders' Decomposition for Federated Learning Scheduling in Distributed Networks
A Cooperative Analysis to Incentivize Communication-Efficient Federated Learning
Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds
Entanglement From Sky: Optimizing Satellite-Based Entanglement Distribution for Quantum Networks
FingerSlid: Towards Finger-Sliding Continuous Authentication on Smart Devices Via Vibration
Quantum-Assisted Joint Caching and Power Allocation for Integrated Satellite-Terrestrial Networks
BSMonitor: Noise-Resistant Bowel Sound Monitoring via Earphones
Group Formation and Sampling in Group-Based Hierarchical Federated Learning
Live Speech Recognition via Earphone Motion Sensors
Distributed Hierarchical Temporal Graph Learning for Communication-Efficient High-Dimensional Industrial IoT Modeling
NOVA: Neural-Optimized Viewport Adaptive 360-Degree Video Streaming at the Edge
Tongue-Jaw Movement Recognition Through Acoustic Sensing on Smartphones
CAREER: Causal Discovery: Methodology Driven by Practice
Collaborative Research: III: Small: Towards Well-Rounded Graph Retrieval for Retrieval-Augmented Generation
Collaborative Research: CyberTraining: Implementation: Medium: AI4EDU: Cloud Infrastructure-Enabled Training for AI in Educational Research and Assessment
CAREER: Exact Optimal and Data-Adaptive Algorithms and Tools for Differential Privacy
Collaborative Research: SCALE MoDL: Adaptivity of Deep Neural Networks
SAI-R: A Community-Centered Decision-Making Framework for Microgrid Deployment
Improving Inductive Reasoning Skills in Polymer Science Through Open Virtual Experiment Simulator Education Tools
CAREER: Exact Optimal and Data-Adaptive Algorithms and Tools for Differential Privacy
Collaborative Research: CPS: Medium: RUI: Cooperative AI Inferencein Vehicular Edge Networks for Advanced Driver-Assistance Systems
Collaborative Research: SCALE MoDL: Adaptivity of Deep Neural Networks
RI: Small: Towards Optimal and Adaptive Reinforcement Learning with Offline Data and Limited Adaptivity
Collaborative Research: CNS Core: Small: AirEdge: Robust Airborne Wireless Edge Computing Network using Swarming UAVs
Collaborative Research: P2C2--Winter Climate Anomalies across North America: Benchmarking Instrumental Trends and Model Projections with High Resolution Paleoclimatology
Collaborative Research: In-Situ Three-Dimensional Diffraction and High-Resolution Electron Microscopy Study of Modulated Martensites
NeTS: Small: Collaborative Research: Towards Reliable, Energy-Efficient, and Secure Vehicular Networks
Multiscale Genomic Imaging Informatics
EAGER: Topology Design in Socio-Temporal Evolving Wireless Networks
Multiscale Genomic Imaging Informatics
Computational Study for Optimizing Microstructures and Properties of Polymer-Matrix Magnetostrictive Composite Materials
NeTS:Small:Collaborative Research: An Integrated Environment-Independent Approach to Topology Control in Wireless Ad Hoc Networks
SGER: Developing a New Experimental Technique for Quantitative Nanotwin Microstructure Characterization by Using In-Situ Diffraction
Symposium: Domain Microstructures and Mechanisms for Advanced Properties in Phase Transforming Materials; Pittsburgh, PA; October 25-29, 2009
Symposium: Domain Microstructures and Mechanisms for Advanced Properties in Phase Transforming Materials; Pittsburgh, PA; October 25-29, 2009
SGER: Developing a New Experimental Technique for Quantitative Nanotwin Microstructure Characterization by Using In-Situ Diffraction
Computational Study for Optimizing Microstructures and Properties of Polymer-Matrix Magnetostrictive Composite Materials