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Jie Wu

Temple University

United States

Research Interests

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Professors in United States

Articles (31)

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Collaborators (4)

Jiannong Cao

currently Chair Professor of Distributed and Mobile Computing

The Hong Kong Polytechnic University

HONG KONG

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Xiaomin Ouyang

Assistant Professor

The Hong Kong University of Science and Technology

CHINA

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Neal Xiong

UNITED STATES

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Dajin Wang

Montclair State University

UNITED STATES

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Jie Wu

Research Interests

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Articles (31)

Grasp: Refining Semantic Graphs into Purified Knowledge for Cross-Modal Communication

UVirtio: Enabling Ubiquitous Resource Sharing for RISC-V Industrial Edge Devices

When Reinforcement Learning Meets Zero-Determinant: Social Welfare Control in Iterated Game Under Spatial Crowdsourcing

MCon: Building an Elastic Cloud for Android Applications with Framework Consolidation

IHS-LM: Intra-batch Hybrid Scheduling and Layer Migration for VLM Pipeline Inference Acceleration on Edge Devices

Privacy-Preserving Data Completion With Location and Value Obfuscation in Spatial Crowdsourcing

Spatiotemporal Non-Aligned Data Inference for Sparse Mobile CrowdSensing

LEVELLER: Fair Communication Scheduling via Progress-Rate Awareness in Multi-Tenant Training Clusters

Edge-Cloud Collaborative Multimodal Dehazing for UAV Vision

Enhancing Knowledge Tracing via Breakpoint-Aware Sequence Augmentation

Online Edge-Assisted Video Analytics on Mobile Agents via Differential Video Encoding

Edge-Assisted Multi-Vehicle Cooperative Perception: An Approach Based on Relative Pose Estimations

Delphinus: Improving Resource Efficiency of Applications with Shared Microservices and Diverse Queries

Federated Learning-Based Distributed Data Completion in Sparse Mobile CrowdSensing

CausalSKyHop: Knowledge-Aware Causal Explanation of Dynamic GNNs via Higher-Order Semantic Reasoning

COOL: A Cloud-Fog Federated Learning System With Multimodal Isolated Client Data in Edge Networks

gShare: Efficient GPU Sharing with Aggressive Scheduling in Multi-tenant FaaS platform

Data Pricing via Uncertainty Quantification for Sparse Mobile CrowdSensing

Improving the Serverless Function Cache Efficiency With Flame

Reload: Deep reinforcement learning-based workload distribution for collaborative edges

A Data-Driven Crowdsensing Framework for Parking Violation Detection

Reverse Auction-Based Computation Offloading and Resource Allocation in Mobile Cloud-Edge Computing

SlimBox: Lightweight Packet Inspection over Encrypted Traffic

Accelerating distributed machine learning with model compression and graph partition

Incentive Mechanism for Spatial Crowdsourcing With Unknown Social-Aware Workers: A Three-Stage Stackelberg Game Approach

Mean Teacher-Based Cross-Domain Activity Recognition Using WiFi Signals

Truthful User Recruitment for Cooperative Crowdsensing Task: A Combinatorial Multi-Armed Bandit Approach

GSMAC: GAN-Based Signal map Construction With Active Crowdsourcing

Outlier-Concerned Data Completion Exploiting Intra- and Inter-Data Correlations in Sparse CrowdSensing

Edge Resource Pricing and Scheduling for Blockchain: A Stackelberg Game Approach

Accelerating Deep Learning Inference via Model Parallelism and Partial Computation Offloading

Collaborators (4)

Jiannong Cao

Xiaomin Ouyang

Neal Xiong

Dajin Wang

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