Kai Zhang

Orcid: 0000-0002-6322-6096

Affiliations:
  • Lehigh University, Bethlehem, PA, USA
  • Embry-Riddle Aeronautical University, Daytona Beach, FL, USA (former)
  • Lanzhou Jiaotong University, China (former)


According to our database1, Kai Zhang authored at least 13 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Adversarial Attack and Defense on Graph Data: A Survey.
IEEE Trans. Knowl. Data Eng., August, 2023

Backdoor Attacks to Pre-trained Unified Foundation Models.
CoRR, 2023

2022
Spatial-Temporal Graph Data Mining for IoT-Enabled Air Mobility Prediction.
IEEE Internet Things J., 2022

Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation.
IACR Cryptol. ePrint Arch., 2022

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation.
CoRR, 2022

Phased Flight Trajectory Prediction with Deep Learning.
CoRR, 2022

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Learning-to-Dispatch: Reinforcement Learning Based Flight Planning under Emergency.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Federated Variational Learning for Anomaly Detection in Multivariate Time Series.
Proceedings of the IEEE International Performance, 2021

Learning to Detect: A Data-driven Approach for Network Intrusion Detection.
Proceedings of the IEEE International Performance, 2021

2020
Spatio-Temporal Data Mining for Aviation Delay Prediction.
Proceedings of the 39th IEEE International Performance Computing and Communications Conference, 2020

UAV Swarm Communication Aware Formation Control via Deep Q Network.
Proceedings of the 39th IEEE International Performance Computing and Communications Conference, 2020

2016
Applying Probabilistic Model Checking to Express Delivery Location Selection and Optimization.
Proceedings of the 13th IEEE International Conference on e-Business Engineering, 2016


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