PPT: Token Pruning and Pooling for Efficient Vision Transformers. - Xin-Jian Wu; Fanhu Zeng; Xiudong Wang; Yunhe Wang 001; Xinghao Chen 001 (CoRR, 2023)

CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models. - Zhong-Zhi Li; Ming-Liang Zhang 005; Fei Yin; Zhi-Long Ji; Jin-Feng Bai; Zhen-Ru Pan; Fanhu Zeng; Jian Xu 015; Jiaxin Zhang 024; Cheng-Lin Liu 001 (CoRR, 2024)

Enhancing Outlier Knowledge for Few-Shot Out-of-Distribution Detection with Extensible Local Prompts. - Fanhu Zeng; Zhen Cheng; Fei Zhu 004; Xu-Yao Zhang (CoRR, 2024)

ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large Multimodal Models. - Fanhu Zeng; Fei Zhu 004; Haiyang Guo; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2024)

DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning. - Haiyang Guo; Fei Zhu 004; Fanhu Zeng; Bing Liu; Xu-Yao Zhang (CoRR, 2024)

HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model. - Haiyang Guo; Fanhu Zeng; Ziwei Xiang; Fei Zhu 004; Da-Han Wang; Xu-Yao Zhang; Cheng-Lin Liu (ACL (1), 2025)

ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs' Capability via Chart Editing. - Xuanle Zhao; Xuexin Liu; Haoyue Yang; Xianzhen Luo; Fanhu Zeng; Jianling Li; Qi Shi 002; Chi Chen 005 (ACL (Findings), 2025)

MambaIC: State Space Models for High-Performance Learned Image Compression. - Fanhu Zeng; Hao Tang 005; Yihua Shao; Siyu Chen; Ling Shao 001; Yan Wang 068 (CVPR, 2025)

Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection. - Fanhu Zeng; Zhen Cheng; Fei Zhu 004; Hongxin Wei; Xu-Yao Zhang (ICLR, 2025)

Parameter Efficient Merging for Multimodal Large Language Models with Complementary Parameter Adaptation. - Fanhu Zeng; Haiyang Guo; Fei Zhu; Li Shen; Hao Tang (CoRR, 2025)

TR-DQ: Time-Rotation Diffusion Quantization. - Yihua Shao; Deyang Lin; Fanhu Zeng; Minxi Yan; Muyang Zhang; Siyu Chen; Yuxuan Fan; Ziyang Yan; Haozhe Wang 002; Jingcai Guo; Yan Wang 068; Haotong Qin; et al. (CoRR, 2025)

Federated Continual Instruction Tuning. - Haiyang Guo; Fanhu Zeng; Fei Zhu 004; Wenzhuo Liu; Da-Han Wang; Jian Xu; Xu-Yao Zhang; Cheng-Lin Liu (CoRR, 2025)

HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model. - Haiyang Guo; Fanhu Zeng; Ziwei Xiang; Fei Zhu 004; Da-Han Wang; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2025)

Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models. - Fanhu Zeng; Zhen Cheng; Fei Zhu 004; Xu-Yao Zhang (CoRR, 2025)

EventVAD: Training-Free Event-Aware Video Anomaly Detection. - Yihua Shao; Haojin He; Sijie Li; Siyu Chen; Xinwei Long; Fanhu Zeng; Yuxuan Fan; Muyang Zhang; Ziyang Yan; Ao Ma; Xiaochen Wang; Hao Tang 005; et al. (CoRR, 2025)

Token Reduction Should Go Beyond Efficiency in Generative Models - From Vision, Language to Multimodality. - Zhenglun Kong; Yize Li; Fanhu Zeng; Lei Xin; Shvat Messica; Xue Lin; Pu Zhao; Manolis Kellis; Hao Tang; Marinka Zitnik (CoRR, 2025)

Token Transforming: A Unified and Training-Free Token Compression Framework for Vision Transformer Acceleration. - Fanhu Zeng; Deli Yu; Zhenglun Kong; Hao Tang (CoRR, 2025)

A Comprehensive Survey on Continual Learning in Generative Models. - Haiyang Guo; Fanhu Zeng; Fei Zhu 004; Jiayi Wang; Xukai Wang; Jingang Zhou; Hongbo Zhao 006; Wenzhuo Liu; Shijie Ma; Da-Han Wang; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2025)

MCITlib: Multimodal Continual Instruction Tuning Library and Benchmark. - Haiyang Guo; Fei Zhu 004; Hongbo Zhao 006; Fanhu Zeng; Wenzhuo Liu; Shijie Ma; Da-Han Wang; Xu-Yao Zhang (CoRR, 2025)