Jiahui Hu

Orcid: 0000-0002-4367-0464

According to our database1, Jiahui Hu authored at least 47 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Does Differential Privacy Really Protect Federated Learning From Gradient Leakage Attacks?
IEEE Trans. Mob. Comput., December, 2024

When Federated Learning Meets Knowledge Distillation.
IEEE Wirel. Commun., October, 2024

Automatic Face Detection of Farm Images Based on an Enhanced Lightweight Deep Learning Model.
Int. J. Pattern Recognit. Artif. Intell., September, 2024

Shield Against Gradient Leakage Attacks: Adaptive Privacy-Preserving Federated Learning.
IEEE/ACM Trans. Netw., April, 2024

Location Privacy-Aware Task Offloading in Mobile Edge Computing.
IEEE Trans. Mob. Comput., March, 2024

Multi-hop path reasoning over sparse temporal knowledge graphs based on path completion and reward shaping.
Inf. Process. Manag., March, 2024

3D reconstruction of bone CT scan images based on deformable convex hull.
Medical Biol. Eng. Comput., February, 2024

Label-Free Poisoning Attack Against Deep Unsupervised Domain Adaptation.
IEEE Trans. Dependable Secur. Comput., 2024

Characterizing pituitary adenomas in clinical notes: Corpus construction and its application in LLMs.
Health Informatics J., 2024

A fast differential network with adaptive reference sample for gaze estimation.
Comput. Vis. Image Underst., 2024

SoK: Gradient Leakage in Federated Learning.
CoRR, 2024

FaceObfuscator: Defending Deep Learning-based Privacy Attacks with Gradient Descent-resistant Features in Face Recognition.
Proceedings of the 33rd USENIX Security Symposium, 2024

Detaching Range from Depth: Personalized Recommendation Meets Personalized PageRank.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Context-Aware Structural Adaptive Graph Neural Networks.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Towards Efficient Asynchronous Federated Learning in Heterogeneous Edge Environments.
Proceedings of the IEEE INFOCOM 2024, 2024

Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning.
Proceedings of the IEEE INFOCOM 2024, 2024

Geometrically Constrained Joint Moving Source Extraction and Dereverberation Based on Constant Separating Vector Mixing Model.
Proceedings of the IEEE International Conference on Acoustics, 2024

A Computationally Efficient Online Algorithm for Tracking Single Moving Source using Geometrically Constrained Independent Vector Analysis.
Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024

2023
Spatiotemporal Consistency Learning From Momentum Cues for Human Motion Prediction.
IEEE Trans. Circuits Syst. Video Technol., September, 2023

Modeling the Interplay between Loop Tiling and Fusion in Optimizing Compilers Using Affine Relations.
ACM Trans. Comput. Syst., 2023

Towards Privacy-Driven Truthful Incentives for Mobile Crowdsensing Under Untrusted Platform.
IEEE Trans. Mob. Comput., 2023

Threats to Training: A Survey of Poisoning Attacks and Defenses on Machine Learning Systems.
ACM Comput. Surv., 2023

Privacy-preserving Adversarial Facial Features.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Efficient Edge Learning for Large Models in Heterogeneous Resource-limited Environments.
Proceedings of the 9th International Conference on Big Data Computing and Communications, 2023

2022
Extracting clinical named entity for pituitary adenomas from Chinese electronic medical records.
BMC Medical Informatics Decis. Mak., 2022

Privacy-preserving task allocation for edge computing-based mobile crowdsensing.
Comput. Electr. Eng., 2022

A bone segmentation method based on Multi-scale features fuse U<sup>2</sup>Net and improved dice loss in CT image process.
Biomed. Signal Process. Control., 2022

Parallelizing Neural Network Models Effectively on GPU by Implementing Reductions Atomically.
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021
Towards Personalized Task-Oriented Worker Recruitment in Mobile Crowdsensing.
IEEE Trans. Mob. Comput., 2021

Relationships Discovery between Nutritional Disorders and Gut Microbiota with Knowledge Graphs.
Proceedings of the ISAIMS 2021: 2nd International Symposium on Artificial Intelligence for Medicine Sciences, Beijing, China, October 29, 2021

Exploration of Preservation Metadata Towards Medical Resources Long-term Archiving.
Proceedings of the 17th International Conference on Digital Preservation, 2021

PHS-PRES: Multi-Sided Protection for Population Health Data.
Proceedings of the 17th International Conference on Digital Preservation, 2021

A Fast Aging-aware Static Timing Analysis Prediction Frame of Digital Integrated Circuits.
Proceedings of the 14th IEEE International Conference on ASIC, 2021

2020
Towards Demand-Driven Dynamic Incentive for Mobile Crowdsensing Systems.
IEEE Trans. Wirel. Commun., 2020

Efficient Multi-Request Route Planning on Road Network.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Design and Implementation of the Lasers Control System for Thomson Scattering Diagnostics on EAST.
Proceedings of the AIAM2020: 2nd International Conference on Artificial Intelligence and Advanced Manufacture, 2020

2019
Personalized Privacy-Preserving Task Allocation for Mobile Crowdsensing.
IEEE Trans. Mob. Comput., 2019

When Mobile Crowdsensing Meets Privacy.
IEEE Commun. Mag., 2019

Task-Bundling-Based Incentive for Location-Dependent Mobile Crowdsourcing.
IEEE Commun. Mag., 2019

Towards Privacy-preserving Incentive for Mobile Crowdsensing Under An Untrusted Platform.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

An Efficient Multi-request Route Planning Framework Based on Grid Index and Heuristic Function.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Towards Facial De-Expression and Expression Recognition in the Wild.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2018
Heterogeneous incentive mechanism for time-sensitive and location-dependent crowdsensing networks with random arrivals.
Comput. Networks, 2018

Pay On-Demand: Dynamic Incentive and Task Selection for Location-Dependent Mobile Crowdsensing Systems.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2016
Optimal Data Transmission Strategy for Healthcare-Based Wireless Sensor Networks: A Stochastic Differential Game Approach.
Wirel. Pers. Commun., 2016

2015
A Stochastic Differential Game Theoretic Study of Multipath Routing in Heterogeneous Wireless Networks.
Wirel. Pers. Commun., 2015

2013
DMED: A Dual-Mode Energy-Driven Routing Protocol for Wireless Planetary Exploration Sensor Network.
Wirel. Pers. Commun., 2013


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