Publications

* indicates equal contribution

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 The 40th AAAI Conference on Artificial Intelligence (AAAI), 2026 arXiv
2025
	RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness Fanhu Zeng, Haiyang Guo, Fei Zhu, Li Shen, Hao Tang The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025, Spotlight, acceptance rate: 3.1% arXiv / Code
	ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt Fanhu Zeng, Fei Zhu, Haiyang Guo, Xu-Yao Zhang, Cheng-Lin Liu The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025 Paper / arXiv / Code
	Federated Continual Instruction Tuning Haiyang Guo, Fanhu Zeng, Fei Zhu, Wenzhuo Liu, Da-Han Wang, Jian Xu, Xu-Yao Zhang, Cheng-Lin Liu International Conference on Computer Vision (ICCV), 2025 Paper / arXiv / Code
	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 Workshop on Multimodal Continual Learning, International Conference on Computer Vision (ICCV), 2025, Oral arXiv / Code
	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 The 33rd ACM International Conference on Multimedia (ACM MM), 2025, Oral Paper / arXiv / Code
	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 (ACL), 2025 Paper / arXiv / Code
	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 Findings of the Association for Computational Linguistics (ACL)*, 2025 Paper / arXiv / Code
	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 (CVPR), 2025 Paper / arXiv / Code
	Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection Fanhu Zeng, Zhen Cheng, Fei Zhu, Hongxin Wei, Xu-Yao Zhang The Thirteenth International Conference on Learning Representations (ICLR), 2025 Paper / arXiv / Code
2024
	M2M-TAG: Training-Free Many-to-Many Token Aggregation for Vision Transformer Acceleration Fanhu Zeng, Deli Yu Workshop on Machine Learning and Compression, Neural Information Processing Systems (NeurIPS), 2024 Paper