Fanhu Zeng

According to our database1, Fanhu Zeng authored at least 19 papers between 2023 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
MCITlib: Multimodal Continual Instruction Tuning Library and Benchmark.
CoRR, August, 2025

A Comprehensive Survey on Continual Learning in Generative Models.
CoRR, June, 2025

Token Transforming: A Unified and Training-Free Token Compression Framework for Vision Transformer Acceleration.
CoRR, June, 2025

Token Reduction Should Go Beyond Efficiency in Generative Models - From Vision, Language to Multimodality.
CoRR, May, 2025

EventVAD: Training-Free Event-Aware Video Anomaly Detection.
CoRR, April, 2025

Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models.
CoRR, March, 2025

HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model.
CoRR, March, 2025

Federated Continual Instruction Tuning.
CoRR, March, 2025

TR-DQ: Time-Rotation Diffusion Quantization.
CoRR, March, 2025

Parameter Efficient Merging for Multimodal Large Language Models with Complementary Parameter Adaptation.
CoRR, February, 2025

Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MambaIC: State Space Models for High-Performance Learned Image Compression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs' Capability via Chart Editing.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning.
CoRR, 2024

ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large Multimodal Models.
CoRR, 2024

Enhancing Outlier Knowledge for Few-Shot Out-of-Distribution Detection with Extensible Local Prompts.
CoRR, 2024

CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models.
CoRR, 2024

2023
PPT: Token Pruning and Pooling for Efficient Vision Transformers.
CoRR, 2023


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