Pu Tian

Orcid: 0000-0002-5150-8053

According to our database1, Pu Tian authored at least 22 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
LeafTutor: An AI Agent for Programming Assignment Tutoring.
CoRR, January, 2026

Adversarial Attacks and Defense in CNNs for Medical X-Ray Classification.
Proceedings of the 2026 9th International Conference on Information and Computer Technologies, 2026

2025
Global practical tracking for uncertain nonlinear systems with unknown control coefficients and polynomial growth.
Int. J. Control, January, 2025

2024
Smart Irrigation Systems from Cyber-Physical Perspective: State of Art and Future Directions.
Future Internet, July, 2024

A Comprehensive Survey and Guide to Multimodal Large Language Models in Vision-Language Tasks.
CoRR, 2024

Evaluating Impact of Image Transformations on Adversarial Examples.
IEEE Access, 2024

Big Data Quality Scoring for Structured Data Using MapReduce.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

2023
Resource-Aware Knowledge Distillation for Federated Learning.
IEEE Trans. Emerg. Top. Comput., 2023

Admission Control and Scheduling of Isochronous and Asynchronous Traffic in IEEE 802.11ad MAC.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Towards an Adversarial Machine Learning Framework in Cyber-Physical Systems.
Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Performance of GAN-Based Denoising and Restoration Techniques for Adversarial Face Images.
Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

2022
WSCC: A Weight-Similarity-Based Client Clustering Approach for Non-IID Federated Learning.
IEEE Internet Things J., 2022

Edge computing-Based mobile object tracking in internet of things.
High Confid. Comput., 2022

A Fairness-Aware Peer-to-Peer Decentralized Learning Framework with Heterogeneous Devices.
Future Internet, 2022

Transformations as Denoising: A Robust Approach to Weaken Adversarial Facial Images.
Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2022

Deep CAPTCHA Recognition Using Encapsulated Preprocessing and Heterogeneous Datasets.
Proceedings of the IEEE INFOCOM 2022, 2022

2021
Towards multi-party targeted model poisoning attacks against federated learning systems.
High Confid. Comput., June, 2021

Zero Knowledge Clustering Based Adversarial Mitigation in Heterogeneous Federated Learning.
IEEE Trans. Netw. Sci. Eng., 2021

Towards asynchronous federated learning based threat detection: A DC-Adam approach.
Comput. Secur., 2021

FALIoTSE: Towards Federated Adversarial Learning for IoT Search Engine Resiliency.
Proceedings of the IEEE Intl Conf on Dependable, 2021

2017
Classification of endangered languages using decision tree based algorithms.
Proceedings of the 13th International Conference on Natural Computation, 2017

Discovering genomic islands in microbial genomes using a genetic algorithm.
Proceedings of the 13th International Conference on Natural Computation, 2017


  Loading...