Qihan Huang
Orcid: 0009-0004-9142-5967
According to our database1,
Qihan Huang
authored at least 21 papers
between 2020 and 2025.
Collaborative distances:
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Bibliography
2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
ACM Comput. Surv., May, 2024
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
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.
Simul. Model. Pract. Theory, December, 2023
Hasse sensitivity level: A sensitivity-aware trajectory privacy-enhanced framework with Reinforcement Learning.
Future Gener. Comput. Syst., May, 2023
Future Gener. Comput. Syst., May, 2023
Expert Syst. J. Knowl. Eng., May, 2023
Dimension-aware under spatiotemporal constraints: an efficient privacy-preserving framework with peak density clustering.
J. Supercomput., March, 2023
Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
J. Vis. Commun. Image Represent., 2022
Is ProtoPNet Really Explainable? Evaluating and Improving the Interpretability of Prototypes.
CoRR, 2022
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition.
CoRR, 2022
2021
2020
Int. J. Hum. Comput. Stud., 2020