ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs
Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen, De-Chuan Zhan, Han-Jia Ye.
ICLR 2025. [Paper] [Code]

Capability Instruction Tuning
Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye.
AAAI 2025. CCF-A. [Paper] [Code]

Wings: Learning Multimodal LLMs without Text-only Forgetting
Yi-Kai Zhang, Shiyin Lu, Yang Li, Yanqing Ma, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye.
NeurIPS 2024. CCF-A. [Paper] [Code]

Model Spider: Learning to Rank Pre-Trained Models Efficiently
Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding, De-Chuan Zhan, Han-Jia Ye.
NeurIPS 2023 (Spotlight). CCF-A. [Paper] [Code]

Learning Debiased Representations via Conditional Attribute Interpolation
Yi-Kai Zhang, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan.
CVPR 2023. CCF-A. [Paper] [Code]

Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration
Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye.
NeurIPS 2023. CCF-A. [Paper] [Code]

Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation
Yi-Kai Zhang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan.
INTERSPEECH 2022. CCF-C. [Paper] [Code]

OmniEvalKit: A Modular, Lightweight Toolbox for Evaluating Large Language Model and its Omni-Extensions
Yi-Kai Zhang, Xu-Xiang Zhong, Shiyin Lu, Qing-Guo Chen, De-Chuan Zhan, Han-Jia Ye.
[Paper] [Code]

ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse
Yi-Kai Zhang, Lu Ren, Chao Yi, Qi-Wei Wang, De-Chuan Zhan, Han-Jia Ye.
[Paper] [Code] [Docs]