Dezhong Yao

Orcid: 0000-0003-0336-0522

Affiliations:
  • Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China (PhD 2016)


According to our database1, Dezhong Yao authored at least 36 papers between 2009 and 2024.

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Bibliography

2024
FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation.
IEEE Trans. Computers, January, 2024

Variational Bayes for Federated Continual Learning.
CoRR, 2024

Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

Rethinking Personalized Federated Learning from Knowledge Perspective.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Personalized Edge Intelligence via Federated Self-Knowledge Distillation.
IEEE Trans. Parallel Distributed Syst., February, 2023

Mining Geospatial Relationships from Text.
Proc. ACM Manag. Data, 2023

FedRKG: A Privacy-Preserving Federated Recommendation Framework via Knowledge Graph Enhancement.
Proceedings of the Green, Pervasive, and Cloud Computing - 18th International Conference, 2023

2022
FedBERT: When Federated Learning Meets Pre-training.
ACM Trans. Intell. Syst. Technol., 2022

Geospatial Entity Resolution.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

You see what I want you to see: poisoning vulnerabilities in neural code search.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Entity Resolution with Hierarchical Graph Attention Networks.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

CCSBD: A Cost Control System Based on Blockchain and DRG Mechanism.
Proceedings of the Network and Parallel Computing, 2022

Visualize and Learn Sorting Algorithms in Data Structure Subject in a Game-based Learning.
Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022

2021
FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization.
CoRR, 2021

2020
An energy-efficient distributed adaptive cooperative routing based on reinforcement learning in wireless multimedia sensor networks.
Comput. Networks, 2020

2019
Using Crowdsourcing to Provide QoS for Mobile Cloud Computing.
IEEE Trans. Cloud Comput., 2019

A Novel QoS-Awared Grid Routing Protocol in the Sensing Layer of Internet of Vehicles Based on Reinforcement Learning.
IEEE Access, 2019

2018
Tensor-based user trajectory mining.
Comput. Syst. Sci. Eng., 2018

High-dimensional Similarity Learning via Dual-sparse Random Projection.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Energy Conservation in Progressive Decentralized Single-Hop Wireless Sensor Networks for Pervasive Computing Environment.
IEEE Syst. J., 2017

Modeling User Activity Patterns for Next-Place Prediction.
IEEE Syst. J., 2017

Using check-in features to partition locations for individual users in location based social network.
Inf. Fusion, 2017

A semi-supervised social relationships inferred model based on mobile phone data.
Future Gener. Comput. Syst., 2017

2016
Speed-Density Model of Interrupted Traffic Flow Based on Coil Data.
Mob. Inf. Syst., 2016

Probabilistic routing algorithm based on contact duration and message redundancy in delay tolerant network.
Int. J. Commun. Syst., 2016

The Best of BothWorlds: Combining Data-Independent and Data-Driven Approaches for Action Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Human mobility synthesis using matrix and tensor factorizations.
Inf. Fusion, 2015

The Best of Both Worlds: Combining Data-independent and Data-driven Approaches for Action Recognition.
CoRR, 2015

Mining user check-in features for location classification in location-based social networks.
Proceedings of the 2015 IEEE Symposium on Computers and Communication, 2015

Sparse Online Relative Similarity Learning.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
Energy efficient indoor tracking on smartphones.
Future Gener. Comput. Syst., 2014

Temporal-Based Ranking in Heterogeneous Networks.
Proceedings of the Network and Parallel Computing, 2014

2013
Location-aware private service discovery in pervasive computing environment.
Inf. Sci., 2013

Energy Efficient Task Scheduling in Mobile Cloud Computing.
Proceedings of the Network and Parallel Computing - 10th IFIP International Conference, 2013

2009
Measuring Botnet Size by Using URL and Collaborative MailServers.
Proceedings of the Fifth International Conference on Networking and Services, 2009


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