Didi Zhu

Orcid: 0009-0004-6892-5357

According to our database¹, Didi Zhu authored at least 37 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Links

On csauthors.net:

Bibliography

2026

LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence.

[BibT_eX]

[DOI]

CoRR, May, 2026

Watch Wider and Think Deeper: Collaborative Cross-modal Chain-of-Thought for Complex Visual Reasoning.

[BibT_eX]

[DOI]

CoRR, January, 2026

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-task Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

OmniEduBench: A Comprehensive Chinese Benchmark for Evaluating Large Language Models in Education.

[BibT_eX]

[DOI]

CoRR, October, 2025

Noise Projection: Closing the Prompt-Agnostic Gap Behind Text-to-Image Misalignment in Diffusion Models.

[BibT_eX]

[DOI]

CoRR, October, 2025

FedMcon: an adaptive aggregation method for federated learning via meta controller.

[BibT_eX]

[DOI]

Frontiers Inf. Technol. Electron. Eng., August, 2025

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning.

[BibT_eX]

[DOI]

CoRR, August, 2025

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices.

[BibT_eX]

[DOI]

CoRR, March, 2025

Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model.

[BibT_eX]

[DOI]

CoRR, March, 2025

Generative Artificial Intelligence in Robotic Manipulation: A Survey.

[BibT_eX]

[DOI]

CoRR, March, 2025

Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging.

[BibT_eX]

[DOI]

CoRR, February, 2025

Let Human Sketches Help: Empowering Challenging Image Segmentation Task with Freehand Sketches.

[BibT_eX]

[DOI]

CoRR, January, 2025

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning.

[BibT_eX]

[DOI]

CoRR, January, 2025

FedGuCci: Making Local Models More Connected in Landscape for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

REMEDY: Recipe Merging Dynamics in Large Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Decoding Correlation-Induced Misalignment in the Stable Diffusion Workflow for Text-to-Image Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, December, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Improving Group Connectivity for Generalization of Federated Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

An Adaptive Aggregation Method for Federated Learning via Meta Controller.

[BibT_eX]

[DOI]

Proceedings of the 6th ACM International Conference on Multimedia in Asia, Workshops, 2024

Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2023

Universal Domain Adaptation via Compressive Attention Matching.

[BibT_eX]

[DOI]

CoRR, 2023

Generalized Universal Domain Adaptation with Generative Flow Networks.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Universal Domain Adaptation via Compressive Attention Matching.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Ensemble Federated Adversarial Training with Non-IID data.

[BibT_eX]

[DOI]

CoRR, 2021

Didi Zhu

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Links

On csauthors.net:

Bibliography

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