Qihan Huang - RankMe

27 papers A* 8Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rethinking Token Reduction for Large Vision-Language Models. CoRR Yi Wang, Haofei Zhang, Qihan Huang, Anda Cao, Gongfan Fang, Wei Wang, Xuan Jin, Jie Song, Mingli Song, Xinchao Wang
2025	J	`jnl`	Boosting MLLM Reasoning with Text-Debiased Hint-GRPO. CoRR Qihan Huang, Long Chan, Jinlong Liu, Wanggui He, Hao Jiang, Mingli Song, Jingyuan Chen, Chang Yao, Jie Song
2025	A*	`conf`	MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance. ICLR Xierui Wang, Siming Fu, Qihan Huang, Wanggui He, Hao Jiang
2025	A*	`conf`	PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation. CVPR Qihan Huang, Long Chan, Jinlong Liu, Wanggui He, Hao Jiang, Mingli Song, Jie Song
2025	A*	`conf`	Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation. AAAI Qihan Huang, Siming Fu, Jinlong Liu, Hao Jiang, Yipeng Yu, Jie Song
2025	J	`jnl`	Syn-GRPO: Self-Evolving Data Synthesis for MLLM Perception Reasoning. CoRR Qihan Huang, Haofei Zhang, Rong Wei, Yi Wang, Rui Tang, Mingli Song, Jie Song
2025	A*	`conf`	TFCustom: Customized Image Generation with Time-Aware Frequency Feature Guidance. CVPR Mushui Liu, Dong She, Jingxuan Pang, Qihan Huang, Jiacheng Ying, Wanggui He, Yuanlei Hou, Siming Fu
2024	J	`jnl`	A Survey of Deep Learning for Low-shot Object Detection. ACM Comput. Surv. Qihan Huang, Haofei Zhang, Mengqi Xue, Jie Song, Mingli Song
2024	A*	`conf`	LG-CAV: Train Any Concept Activation Vector with Language Guidance. NeurIPS Qihan Huang, Jie Song, Mengqi Xue, Haofei Zhang, Bingde Hu, Huiqiong Wang, Hao Jiang, Xingen Wang, Mingli Song
2024	J	`jnl`	LG-CAV: Train Any Concept Activation Vector with Language Guidance. CoRR Qihan Huang, Jie Song, Mengqi Xue, Haofei Zhang, Bingde Hu, Huiqiong Wang, Hao Jiang, Xingen Wang, Mingli Song
2024	J	`jnl`	MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance. CoRR X. Wang, Siming Fu, Qihan Huang, Wanggui He, Hao Jiang
2024	A*	`conf`	On the Concept Trustworthiness in Concept Bottleneck Models. AAAI Qihan Huang, Jie Song, Jingwen Hu, Haofei Zhang, Yong Wang, Mingli Song
2024	J	`jnl`	On the Concept Trustworthiness in Concept Bottleneck Models. CoRR Qihan Huang, Jie Song, Jingwen Hu, Haofei Zhang, Yong Wang, Mingli Song
2024	J	`jnl`	PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation. CoRR Qihan Huang, Long Chan, Jinlong Liu, Wanggui He, Hao Jiang, Mingli Song, Jie Song
2024	A*	`conf`	ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. IJCAI Mengqi Xue, Qihan Huang, Haofei Zhang, Jingwen Hu, Jie Song, Mingli Song, Canghong Jin
2024	J	`jnl`	Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation. CoRR Qihan Huang, Siming Fu, Jinlong Liu, Hao Jiang, Yipeng Yu, Jie Song
2023	J	`jnl`	DP-TrajGAN: A privacy-aware trajectory generation model with differential privacy. Future Gener. Comput. Syst. Jing Zhang, Qihan Huang, Yirui Huang, Qian Ding, Pei-Wei Tsai
2023	J	`jnl`	Dimension-aware under spatiotemporal constraints: an efficient privacy-preserving framework with peak density clustering. J. Supercomput. Jing Zhang, Qihan Huang, Jian-Yu Hu, Xiucai Ye
2023	A*	`conf`	Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks. ICCV Qihan Huang, Mengqi Xue, Wenqi Huang, Haofei Zhang, Jie Song, Yongcheng Jing, Mingli Song
2023	J	`jnl`	Generative adversarial learning for optimizing ontology alignment. Expert Syst. J. Knowl. Eng. Xingsi Xue, Qihan Huang
2023	J	`jnl`	Hasse sensitivity level: A sensitivity-aware trajectory privacy-enhanced framework with Reinforcement Learning. Future Gener. Comput. Syst. Jing Zhang, Yi-rui Huang, Qihan Huang, Yan-zi Li, Xiucai Ye
2023	J	`jnl`	PPDF-FedTMI: A Federated Learning-based Transport Mode Inference Model with Privacy-Preserving Data Fusion. Simul. Model. Pract. Theory Qihan Huang, Jing Zhang, Zuanyang Zeng, Ding He, Xiucai Ye, Yi Chen
2022	J	`jnl`	Is ProtoPNet Really Explainable? Evaluating and Improving the Interpretability of Prototypes. CoRR Qihan Huang, Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song
2022	J	`jnl`	Learn decision trees with deep visual primitives. J. Vis. Commun. Image Represent. Mengqi Xue, Haofei Zhang, Qihan Huang, Jie Song, Mingli Song
2022	J	`jnl`	ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. CoRR Mengqi Xue, Qihan Huang, Haofei Zhang, Lechao Cheng, Jie Song, Minghui Wu, Mingli Song
2021	J	`jnl`	A Survey of Deep Learning for Low-Shot Object Detection. CoRR Qihan Huang, Haofei Zhang, Jie Song, Mingli Song
2020	J	`jnl`	Effects of holding postures on user-defined touch gestures for tablet interaction. Int. J. Hum. Comput. Stud. Huawei Tu, Qihan Huang, Yanchao Zhao, Boyu Gao