Zhen Qin

Orcid: 0000-0002-1756-6102

Affiliations:
  • Zhejiang University, College of Computer Science and Technology, Hangzhou, China
  • Shanghai University, School of Computer Engineering and Science, China (former)


According to our database1, Zhen Qin authored at least 22 papers between 2019 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly.
CoRR, February, 2025

SeMi: When Imbalanced Semi-Supervised Learning Meets Mining Hard Examples.
CoRR, January, 2025

Disentangled progressive negative sampling for graph collaborative filtering recommendation.
Knowl. Based Syst., 2025

ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Federated Data-Efficient Instruction Tuning for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures.
CoRR, 2024

The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective.
CoRR, 2024

BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework.
Proceedings of the ACM on Web Conference 2024, 2024

LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection.
Proceedings of the ACM on Web Conference 2024, 2024

Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
6G Data Plane: A Novel Architecture Enabling Data Collaboration with Arbitrary Topology.
Mob. Networks Appl., February, 2023

ST-EUA: Spatio-Temporal Edge User Allocation With Task Decomposition.
IEEE Trans. Serv. Comput., 2023

MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain.
CoRR, 2023

PePNet: A Periodicity-Perceived Workload Prediction Network Supporting Rare Occurrence of Heavy Workload.
CoRR, 2023

FedAPEN: Personalized Cross-silo Federated Learning with Adaptability to Statistical Heterogeneity.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
DeepWSC: Clustering Web Services via Integrating Service Composability into Deep Semantic Features.
IEEE Trans. Serv. Comput., 2022

Secure and Efficient Decentralized Federated Learning with Data Representation Protection.
CoRR, 2022

2021
Towards the optimality of service instance selection in mobile edge computing.
Knowl. Based Syst., 2021

2020
TD-EUA: Task-Decomposable Edge User Allocation with QoE Optimization.
Proceedings of the Service-Oriented Computing - 18th International Conference, 2020

2019
DeepWSC: A Novel Framework with Deep Neural Network for Web Service Clustering.
Proceedings of the 2019 IEEE International Conference on Web Services, 2019


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