Anran Li

Orcid: 0000-0002-3592-4153

Affiliations:

Yale University, Department of Biomedical Informatics and Data Science, School of Medicine, New Haven, CT, USA
Nanyang Technological University, School of Computer Science and Engineering, Singapore
University of Science and Technology of China, Hefei, China (PhD 2021)

According to our database¹, Anran Li authored at least 38 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

RF-Eye: Commodity RFID Can Know What You Write and Who You Are Wherever You Are.

[BibT_eX]

[DOI]

ACM Trans. Sens. Networks, July, 2025

Federated Graph Neural Networks: Overview, Techniques, and Challenges.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., March, 2025

MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Joint Client-and-Sample Selection for Federated Learning via Bi-Level Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., December, 2024

Privacy-Preserving Data Selection for Horizontal and Vertical Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., November, 2024

CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024

FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024

Efficient and Privacy-Preserving Feature Importance-Based Vertical Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., June, 2024

Historical Embedding-Guided Efficient Large-Scale Federated Graph Learning.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2024

Aggregating intrinsic information to enhance BCI performance through federated learning.

[BibT_eX]

[DOI]

Neural Networks, 2024

Federated Graph Learning with Adaptive Importance-based Sampling.

[BibT_eX]

[DOI]

CoRR, 2024

Advances and Open Challenges in Federated Learning with Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

KoReA-SFL: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting.

[BibT_eX]

[DOI]

CoRR, 2024

An Empirical Study of Automated Vulnerability Localization with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Dual Calibration-based Personalised Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

An Empirical Study on Noisy Label Learning for Program Understanding.

[BibT_eX]

[DOI]

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

FedMut: Generalized Federated Learning via Stochastic Mutation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FedCSS: Joint Client-and-Sample Selection for Hard Sample-Aware Noise-Robust Federated Learning.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, September, 2023

An Empirical Study on the Effectiveness of Noisy Label Learning for Program Understanding.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Interpretable Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Program Representations with a Tree-Structured Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Analysis, 2023

GFL: Federated Learning on Non-IID Data via Privacy-Preserving Synthetic Data.

[BibT_eX]

[DOI]

Yihang Cheng

Lan Zhang

Anran Li

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2023

Adaptive and Efficient Participant Selection in Vertical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023

FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2023, 2023

Fairness via Group Contribution Matching.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Federated IoT Interaction Vulnerability Analysis.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Privacy-Preserving Efficient Federated-Learning Model Debugging.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2022

AppDNA: Profiling App Behavior via Deep-Learning Function Call Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput., 2022

A Unified Guaranteed Impression Allocation Framework for Online Display Advertising.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Efficient Participant Contribution Evaluation for Horizontal and Vertical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Residue-based Label Protection Mechanisms in Vertical Logistic Regression.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Big Data Computing and Communications, 2022

2021

Sample-level Data Selection for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Efficient Federated-Learning Model Debugging.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

IEye: Personalized Image Privacy Detection.

[BibT_eX]

[DOI]

Rui Jiao

Lan Zhang

Anran Li

Proceedings of the 6th International Conference on Big Data Computing and Communications, 2020

2019

TODQA: Efficient Task-Oriented Data Quality Assessment.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Mobile Ad-Hoc and Sensor Networks, 2019

2018

AppDNA: App Behavior Profiling via Graph-based Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Anran Li

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