Wenjie Li

Orcid: 0000-0002-6586-8543

Affiliations:

Tsinghua University, Beijing, China

According to our database¹, Wenjie Li authored at least 22 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

DeepCGC: Unveiling the Deep Clustering Mechanism of Fast Graph Condensation.

[BibT_eX]

[DOI]

Quoc Viet Hung Nguyen

Hongzhi Yin

IEEE Trans. Knowl. Data Eng., March, 2026

Vertical Semi-Federated Learning for Efficient Online Advertising.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

DualTAP: A Dual-Task Adversarial Protector for Mobile MLLM Agents.

[BibT_eX]

[DOI]

CoRR, November, 2025

Coward: Toward Practical Proactive Federated Backdoor Defense via Collision-based Watermark.

[BibT_eX]

[DOI]

CoRR, August, 2025

Enhancing Security and Privacy in Federated Learning Using Low-Dimensional Update Representation and Proximity-Based Defense.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2025

Verifiably Forgotten? Gradient Differences Still Enable Data Reconstruction in Federated Unlearning.

[BibT_eX]

[DOI]

CoRR, May, 2025

Secure and Scalable Face Retrieval via Cancelable Product Quantization.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

2024

A Game-theoretic Framework for Privacy-preserving Federated Learning.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., June, 2024

Node-Level Graph Regression With Deep Gaussian Process Models.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., June, 2024

PBFL: Privacy-Preserving and Byzantine-Robust Federated-Learning-Empowered Industry 4.0.

[BibT_eX]

[DOI]

IEEE Internet Things J., February, 2024

FLSG: A Novel Defense Strategy Against Inference Attacks in Vertical Federated Learning.

[BibT_eX]

[DOI]

IEEE Internet Things J., January, 2024

Enhancing Security and Privacy in Federated Learning using Update Digests and Voting-Based Defense.

[BibT_eX]

[DOI]

CoRR, 2024

ReFer: Retrieval-Enhanced Vertical Federated Recommendation for Full Set User Benefit.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023

Theoretically Principled Federated Learning for Balancing Privacy and Utility.

[BibT_eX]

[DOI]

CoRR, 2023

A Game-theoretic Framework for Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Vertical Semi-Federated Learning for Efficient Online Advertising.

[BibT_eX]

[DOI]

CoRR, 2022

Semi-Supervised Cross-Silo Advertising with Partial Knowledge Transfer.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Dirichlet process mixture models.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

H-GPR: A Hybrid Strategy for Large-Scale Gaussian Process Regression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Stochastic Deep Gaussian Processes over Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SDCN: Sparsity and Diversity Driven Correlation Networks for Traffic Demand Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Wenjie Li

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