He Li

Orcid: 0000-0002-8469-8260

According to our database1, He Li authored at least 22 papers between 2021 and 2025.

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

Timeline

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Bibliography

2025
WePerson: Generalizable Re-Identification From Synthetic Data With Single Query Adaptation.
IEEE Trans. Biom. Behav. Identity Sci., July, 2025

S2FGL: Spatial Spectral Federated Graph Learning.
CoRR, July, 2025

A Retrieval-Augmented Multi-Agent Framework for Psychiatry Diagnosis.
CoRR, June, 2025

A Novel Manifold Optimization Algorithm With the Dual Function and a Fuzzy Valuation Step.
IEEE Trans. Fuzzy Syst., May, 2025

Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model.
CoRR, March, 2025

Concept-Based Lesion Aware Transformer for Interpretable Retinal Disease Diagnosis.
IEEE Trans. Medical Imaging, January, 2025

Kindle Federated Generalization With Domain Specialized and Invariant Knowledge.
IEEE Trans. Inf. Forensics Secur., 2025

Self-knowledge distillation with dimensional history knowledge.
Sci. China Inf. Sci., 2025

Prototype-guided Knowledge Propagation with Adaptive Learning for Lifelong Person Re-identification.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Pixel-wise Divide and Conquer for Federated Vessel Segmentation.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Cheb-GR: Rethinking K-nearest Neighbor Search in Re-ranking for Person Re-identification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

NightReID: A Large-Scale Nighttime Person Re-Identification Benchmark.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning.
CoRR, 2024

Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

All in One Framework for Multimodal Re-Identification in the Wild.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Rethinking Federated Learning with Domain Shift: A Prototype View.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Collaborative Refining for Person Re-Identification With Label Noise.
IEEE Trans. Image Process., 2022

Pyramidal Transformer with Conv-Patchify for Person Re-identification.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
WePerson: Learning a Generalized Re-identification Model from All-weather Virtual Data.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021


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