Didi Zhu

Orcid: 0009-0004-6892-5357

According to our database1, Didi Zhu authored at least 16 papers between 2021 and 2025.

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

Timeline

2021
2022
2023
2024
2025
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1
2
3
4
5
6
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9
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6
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1
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3

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think.
CoRR, January, 2025

2024
Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching.
IEEE Trans. Big Data, December, 2024

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

Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace.
CoRR, 2024

Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering.
CoRR, 2024

Improving Group Connectivity for Generalization of Federated Deep Learning.
CoRR, 2024

RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner.
CoRR, 2024

Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance.
CoRR, 2023

Universal Domain Adaptation via Compressive Attention Matching.
CoRR, 2023

Generalized Universal Domain Adaptation with Generative Flow Networks.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Universal Domain Adaptation via Compressive Attention Matching.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching.
CoRR, 2022

2021
Ensemble Federated Adversarial Training with Non-IID data.
CoRR, 2021


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