Fanhu Zeng

According to our database, Fanhu Zeng authored at least 29 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Unveiling Fine-Grained Visual Traces: Evaluating Multimodal Interleaved Reasoning Chains in Multimodal STEM Tasks.

Jing Jin, Hao Liu, Yan Bai, Yihang Lou, Zhenke Wang, Tianrun Yuan, Juntong Chen, Yongkang Zhu, Fanhu Zeng, Xuanyu Zhu, Yige Xu

CoRR, April, 2026

CL-VISTA: Benchmarking Continual Learning in Video Large Language Models.

Haiyang Guo, Yichen Shi, Fei Zhu, Wenzhuo Liu, Hongbo Zhao, Fanhu Zeng, Shijie Ma, Da-Han Wang, Xu-Yao Zhang

CoRR, April, 2026

Fine-Grained Post-Training Quantization for Large Vision Language Models with Quantization-Aware Integrated Gradients.

Ziwei Xiang, Fanhu Zeng, Hongjian Fang, Rui-Qi Wang, Renxing Chen, Yanan Zhu, Yi Chen, Peipei Yang, Xu-Yao Zhang

CoRR, March, 2026

Imagination Helps Visual Reasoning, But Not Yet in Latent Space.

You Li, Chi Chen, Yanghao Li, Fanhu Zeng, Kaiyu Huang, Jinan Xu, Maosong Sun

CoRR, February, 2026

HyTRec: A Hybrid Temporal-Aware Attention Architecture for Long Behavior Sequential Recommendation.

Lei Xin, Yuhao Zheng, Ke Cheng, Changjiang Jiang, Zifan Zhang, Fanhu Zeng

CoRR, February, 2026

TR-DQ: Time-Rotation Diffusion Quantization.

Yihua Shao, Deyang Lin, Minxi Yan, Siyu Chen, Fanhu Zeng, Minwen Liao, Ao Ma, Ziyang Yan, Haozhe Wang, Yan Wang, Zhi Chen, Xiaofeng Cao, Haotong Qin, Hao Tang, Jingcai Guo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

VTCBench: Can Vision-Language Models Understand Long Context with Vision-Text Compression?

Hongbo Zhao, Meng Wang, Fei Zhu, Wenzhuo Liu, Bolin Ni, Fanhu Zeng, Gaofeng Meng, Zhaoxiang Zhang

CoRR, December, 2025

MCITlib: Multimodal Continual Instruction Tuning Library and Benchmark.

Haiyang Guo, Fei Zhu, Hongbo Zhao, Fanhu Zeng, Wenzhuo Liu, Shijie Ma, Da-Han Wang, Xu-Yao Zhang

CoRR, August, 2025

A Comprehensive Survey on Continual Learning in Generative Models.

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

CoRR, June, 2025

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

Fanhu Zeng, Deli Yu, Zhenglun Kong, Hao Tang

CoRR, June, 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, May, 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, Yan Wang, Shuyan Li

CoRR, April, 2025

Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models.

Fanhu Zeng, Zhen Cheng, Fei Zhu, Xu-Yao Zhang

CoRR, March, 2025

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

Haiyang Guo, Fanhu Zeng, Ziwei Xiang, Fei Zhu, Da-Han Wang, Xu-Yao Zhang, Cheng-Lin Liu

CoRR, March, 2025

Federated Continual Instruction Tuning.

Haiyang Guo, Fanhu Zeng, Fei Zhu, Wenzhuo Liu, Da-Han Wang, Jian Xu, Xu-Yao Zhang, Cheng-Lin Liu

CoRR, March, 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, Jingcai Guo, Yan Wang, Haotong Qin, Hao Tang

CoRR, March, 2025

Parameter Efficient Merging for Multimodal Large Language Models with Complementary Parameter Adaptation.

Fanhu Zeng, Haiyang Guo, Fei Zhu, Li Shen, Hao Tang

CoRR, February, 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, Yan Wang, Shuyan Li

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection.

Fanhu Zeng, Zhen Cheng, Fei Zhu, Hongxin Wei, Xu-Yao Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Federated Continual Instruction Tuning.

Haiyang Guo, Fanhu Zeng, Fei Zhu, Wenzhuo Liu, Da-Han Wang, Jian Xu, Xu-Yao Zhang, Cheng-Lin Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt.

Fanhu Zeng, Fei Zhu, Haiyang Guo, Xu-Yao Zhang, Cheng-Lin Liu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

MambaIC: State Space Models for High-Performance Learned Image Compression.

Fanhu Zeng, Hao Tang, Yihua Shao, Siyu Chen, Ling Shao, Yan Wang

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.

Xuanle Zhao, Xuexin Liu, Haoyue Yang, Xianzhen Luo, Fanhu Zeng, Jianling Li, Qi Shi, Chi Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

Haiyang Guo, Fanhu Zeng, Ziwei Xiang, Fei Zhu, Da-Han Wang, Xu-Yao Zhang, Cheng-Lin Liu

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.

Haiyang Guo, Fei Zhu, Fanhu Zeng, Bing Liu, Xu-Yao Zhang

CoRR, 2024

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

Fanhu Zeng, Fei Zhu, Haiyang Guo, Xu-Yao Zhang, Cheng-Lin Liu

CoRR, 2024

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

Fanhu Zeng, Zhen Cheng, Fei Zhu, Xu-Yao Zhang

CoRR, 2024

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

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

CoRR, 2024

2023

PPT: Token Pruning and Pooling for Efficient Vision Transformers.

Xin-Jian Wu, Fanhu Zeng, Xiudong Wang, Yunhe Wang, Xinghao Chen

CoRR, 2023