Qihan Huang

According to our database, Qihan Huang authored at least 16 papers between 2020 and 2024.

Collaborative distances:

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

2024

A Survey of Deep Learning for Low-shot Object Detection.

Qihan Huang, Haofei Zhang, Mengqi Xue, Jie Song, Mingli Song

ACM Comput. Surv., May, 2024

LG-CAV: Train Any Concept Activation Vector with Language Guidance.

Qihan Huang, Jie Song, Mengqi Xue, Haofei Zhang, Bingde Hu, Huiqiong Wang, Hao Jiang, Xingen Wang, Mingli Song

CoRR, 2024

MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance.

X. Wang, Siming Fu, Qihan Huang, Wanggui He, Hao Jiang

CoRR, 2024

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition.

Mengqi Xue, Qihan Huang, Haofei Zhang, Jingwen Hu, Jie Song, Mingli Song, Canghong Jin

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

On the Concept Trustworthiness in Concept Bottleneck Models.

Qihan Huang, Jie Song, Jingwen Hu, Haofei Zhang, Yong Wang, Mingli Song

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

PPDF-FedTMI: A Federated Learning-based Transport Mode Inference Model with Privacy-Preserving Data Fusion.

Qihan Huang, Jing Zhang, Zuanyang Zeng, Ding He, Xiucai Ye, Yi Chen

Simul. Model. Pract. Theory, December, 2023

Hasse sensitivity level: A sensitivity-aware trajectory privacy-enhanced framework with Reinforcement Learning.

Jing Zhang, Yi-rui Huang, Qihan Huang, Yan-zi Li, Xiucai Ye

Future Gener. Comput. Syst., May, 2023

DP-TrajGAN: A privacy-aware trajectory generation model with differential privacy.

Jing Zhang, Qihan Huang, Yirui Huang, Qian Ding, Pei-Wei Tsai

Future Gener. Comput. Syst., May, 2023

Generative adversarial learning for optimizing ontology alignment.

Xingsi Xue, Qihan Huang

Expert Syst. J. Knowl. Eng., May, 2023

Dimension-aware under spatiotemporal constraints: an efficient privacy-preserving framework with peak density clustering.

Jing Zhang, Qihan Huang, Jian-Yu Hu, Xiucai Ye

J. Supercomput., March, 2023

Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks.

Qihan Huang, Mengqi Xue, Wenqi Huang, Haofei Zhang, Jie Song, Yongcheng Jing, Mingli Song

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learn decision trees with deep visual primitives.

Mengqi Xue, Haofei Zhang, Qihan Huang, Jie Song, Mingli Song

J. Vis. Commun. Image Represent., 2022

Is ProtoPNet Really Explainable? Evaluating and Improving the Interpretability of Prototypes.

Qihan Huang, Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song

CoRR, 2022

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition.

Mengqi Xue, Qihan Huang, Haofei Zhang, Lechao Cheng, Jie Song, Minghui Wu, Mingli Song

CoRR, 2022

2021

A Survey of Deep Learning for Low-Shot Object Detection.

Qihan Huang, Haofei Zhang, Jie Song, Mingli Song

CoRR, 2021

2020

Effects of holding postures on user-defined touch gestures for tablet interaction.

Huawei Tu, Qihan Huang, Yanchao Zhao, Boyu Gao

Int. J. Hum. Comput. Stud., 2020