Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation. - Yi-Kai Zhang; Da-Wei Zhou 001; Han-Jia Ye; De-Chuan Zhan (INTERSPEECH, 2022)

Learning Debiased Representations via Conditional Attribute Interpolation. - Yi-Kai Zhang; Qi-Wei Wang; De-Chuan Zhan; Han-Jia Ye (CVPR, 2023)

Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration. - Qi-Wei Wang; Da-Wei Zhou 001; Yi-Kai Zhang; De-Chuan Zhan; Han-Jia Ye (NeurIPS, 2023)

Model Spider: Learning to Rank Pre-Trained Models Efficiently. - Yi-Kai Zhang; Ting-Ji Huang; Yao-Xiang Ding 001; De-Chuan Zhan; Han-Jia Ye (NeurIPS, 2023)

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 (CoRR, 2023)

Wings: Learning Multimodal LLMs without Text-only Forgetting. - Yi-Kai Zhang; Shiyin Lu; Yang Li; Yanqing Ma; Qingguo Chen; Zhao Xu; Weihua Luo; Kaifu Zhang; De-Chuan Zhan; Han-Jia Ye (NeurIPS, 2024)

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 (CoRR, 2024)

Capability Instruction Tuning. - Yi-Kai Zhang; De-Chuan Zhan; Han-Jia Ye (AAAI, 2025)

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)

Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing. - Yi-Kai Zhang; De-Chuan Zhan; Han-Jia Ye (CoRR, 2025)

Model Assembly Learning with Heterogeneous Layer Weight Merging. - Yi-Kai Zhang; Jin Wang; Xu-Xiang Zhong; De-Chuan Zhan; Han-Jia Ye (CoRR, 2025)