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2020 – today
- 2025
[c6]Xuanle Zhao, Xuexin Liu, Haoyue Yang, Xianzhen Luo, Fanhu Zeng, Jianling Li, Qi Shi, Chi Chen:
ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs' Capability via Chart Editing. ACL (Findings) 2025: 3616-3630- [c5]Haiyang Guo, Fanhu Zeng, Ziwei Xiang, Fei Zhu, Da-Han Wang, Xu-Yao Zhang, Cheng-Lin Liu:
HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model. ACL (1) 2025: 13572-13586 - [c4]Fanhu Zeng, Hao Tang, Yihua Shao, Siyu Chen, Ling Shao, Yan Wang:
MambaIC: State Space Models for High-Performance Learned Image Compression. CVPR 2025: 18041-18050 - [c3]Fanhu Zeng, Fei Zhu, Haiyang Guo, Xu-Yao Zhang, Cheng-Lin Liu:
ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt. EMNLP 2025: 12126-12141 - [c2]Fanhu Zeng, Zhen Cheng, Fei Zhu, Hongxin Wei, Xu-Yao Zhang:
Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection. ICLR 2025 - [c1]Yihua Shao
, Haojin He, Sijie Li, Siyu Chen, Xinwei Long, Fanhu Zeng, Yuxuan Fan, Muyang Zhang, Ziyang Yan, Ao Ma, Xiaochen Wang, Hao Tang, Yan Wang, Shuyan Li:
EventVAD: Training-Free Event-Aware Video Anomaly Detection. ACM Multimedia 2025: 2586-2595 - [i18]Fanhu Zeng, Haiyang Guo, Fei Zhu, Li Shen, Hao Tang:
Parameter Efficient Merging for Multimodal Large Language Models with Complementary Parameter Adaptation. CoRR abs/2502.17159 (2025) - [i17]Yihua Shao, Deyang Lin, Fanhu Zeng, Minxi Yan, Muyang Zhang, Siyu Chen, Yuxuan Fan, Ziyang Yan, Haozhe Wang, Jingcai Guo, Yan Wang, Haotong Qin, Hao Tang:
TR-DQ: Time-Rotation Diffusion Quantization. CoRR abs/2503.06564 (2025) - [i16]Fanhu Zeng, Hao Tang, Yihua Shao, Siyu Chen, Ling Shao, Yan Wang:
MambaIC: State Space Models for High-Performance Learned Image Compression. CoRR abs/2503.12461 (2025) - [i15]Haiyang Guo, Fanhu Zeng, Fei Zhu, Wenzhuo Liu, Da-Han Wang, Jian Xu, Xu-Yao Zhang, Cheng-Lin Liu:
Federated Continual Instruction Tuning. CoRR abs/2503.12897 (2025) - [i14]Haiyang Guo, Fanhu Zeng, Ziwei Xiang, Fei Zhu, Da-Han Wang, Xu-Yao Zhang, Cheng-Lin Liu:
HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model. CoRR abs/2503.12941 (2025) - [i13]Fanhu Zeng, Zhen Cheng, Fei Zhu, Xu-Yao Zhang:
Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models. CoRR abs/2503.20492 (2025) - [i12]Yihua Shao, Haojin He, Sijie Li, Siyu Chen, Xinwei Long, Fanhu Zeng, Yuxuan Fan, Muyang Zhang, Ziyang Yan, Ao Ma, Xiaochen Wang, Hao Tang, Yan Wang, Shuyan Li:
EventVAD: Training-Free Event-Aware Video Anomaly Detection. CoRR abs/2504.13092 (2025) - [i11]Xuanle Zhao, Xuexin Liu, Haoyue Yang, Xianzhen Luo, Fanhu Zeng, Jianling Li, Qi Shi, Chi Chen:
ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs' Capability via Chart Editing. CoRR abs/2505.11935 (2025) - [i10]Zhenglun Kong, Yize Li, Fanhu Zeng, Lei Xin, Shvat Messica, Xue Lin, Pu Zhao, Manolis Kellis, Hao Tang, Marinka Zitnik:
Token Reduction Should Go Beyond Efficiency in Generative Models - From Vision, Language to Multimodality. CoRR abs/2505.18227 (2025) - [i9]Fanhu Zeng, Deli Yu, Zhenglun Kong, Hao Tang:
Token Transforming: A Unified and Training-Free Token Compression Framework for Vision Transformer Acceleration. CoRR abs/2506.05709 (2025) - [i8]Haiyang Guo, Fanhu Zeng, Fei Zhu, Jiayi Wang, Xukai Wang, Jingang Zhou, Hongbo Zhao, Wenzhuo Liu, Shijie Ma, Da-Han Wang, Xu-Yao Zhang, Cheng-Lin Liu:
A Comprehensive Survey on Continual Learning in Generative Models. CoRR abs/2506.13045 (2025) - [i7]Haiyang Guo, Fei Zhu, Hongbo Zhao, Fanhu Zeng, Wenzhuo Liu, Shijie Ma, Da-Han Wang, Xu-Yao Zhang:
MCITlib: Multimodal Continual Instruction Tuning Library and Benchmark. CoRR abs/2508.07307 (2025) - [i6]Hongbo Zhao, Meng Wang, Fei Zhu, Wenzhuo Liu, Bolin Ni, Fanhu Zeng, Gaofeng Meng, Zhaoxiang Zhang:
VTCBench: Can Vision-Language Models Understand Long Context with Vision-Text Compression? CoRR abs/2512.15649 (2025) - 2024
- [i5]Zhong-Zhi Li, Ming-Liang Zhang, Fei Yin, Zhi-Long Ji, Jin-Feng Bai, Zhen-Ru Pan, Fanhu Zeng, Jian Xu, Jiaxin Zhang, Cheng-Lin Liu:
CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models. CoRR abs/2407.12023 (2024) - [i4]Fanhu Zeng, Zhen Cheng, Fei Zhu, Xu-Yao Zhang:
Enhancing Outlier Knowledge for Few-Shot Out-of-Distribution Detection with Extensible Local Prompts. CoRR abs/2409.04796 (2024) - [i3]Fanhu Zeng, Fei Zhu, Haiyang Guo, Xu-Yao Zhang, Cheng-Lin Liu:
ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large Multimodal Models. CoRR abs/2410.05849 (2024) - [i2]Haiyang Guo, Fei Zhu, Fanhu Zeng, Bing Liu, Xu-Yao Zhang:
DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning. CoRR abs/2411.19154 (2024) - 2023
- [i1]Xin-Jian Wu, Fanhu Zeng, Xiudong Wang, Yunhe Wang, Xinghao Chen:
PPT: Token Pruning and Pooling for Efficient Vision Transformers. CoRR abs/2310.01812 (2023)
Coauthor Index
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