Haofei Zhang

According to our database, Haofei Zhang authored at least 25 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

Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios.

Yuxin Wang, Zunlei Feng, Haofei Zhang, Yang Gao, Jie Lei, Li Sun, Mingli Song

Proceedings of the Thirty-Eighth AAAI 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

Constituent Attention for Vision Transformers.

Haoling Li, Mengqi Xue, Jie Song, Haofei Zhang, Wenqi Huang, Lingyu Liang, Mingli Song

Comput. Vis. Image Underst., December, 2023

Knowledge Amalgamation for Object Detection With Transformers.

Haofei Zhang, Feng Mao, Mengqi Xue, Gongfan Fang, Zunlei Feng, Jie Song, Mingli Song

IEEE Trans. Image Process., 2023

Research on the Key Technology of a Small Rock Hole Inspection Robot.

Liquan Li, Ruiqi Han, Haofei Zhang, Zhonglin Zhang, Kaiye Wang, Jin Li

J. Intell. Robotic Syst., 2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.

Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song

CoRR, 2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.

Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Schema Inference for Interpretable Image Classification.

Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Message-passing Selection: Towards Interpretable GNNs for Graph Classification.

Wenda Li, Kaixuan Chen, Shunyu Liu, Wenjie Huang, Haofei Zhang, Mingli Song, Yingjie Tian, Yun Su

Proceedings of the First Tiny Papers Track at ICLR 2023, 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

Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation.

Tianli Zhang, Mengqi Xue, Jiangtao Zhang, Haofei Zhang, Yu Wang, Lechao Cheng, Jie Song, Mingli Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Investigating Scientific Misinformation Using Different Modes of Learning.

Autumn Toney-Wails, Kornraphop Kawintiranon, Lisa Singh, Paul-Emmanuel Courtines, Alexander Lin, Haofei Zhang

Proceedings of the Workshop on Scientific Document Understanding co-located with 37th AAAI Conference on Artificial Inteligence (AAAI 2023), 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

A Survey of Neural Trees.

Haoling Li, Jie Song, Mengqi Xue, Haofei Zhang, Jingwen Ye, Lechao Cheng, 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

Under-Resourced Machine Learning for Stock Market Prediction.

Yutong Feng, Shengyu He, Jianyun Wu, Haofei Zhang

Proceedings of the 2nd International Conference on Control and Intelligent Robotics, 2022

Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training.

Haofei Zhang, Jiarui Duan, Mengqi Xue, Jie Song, Li Sun, Mingli Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Meta-attention for ViT-backed Continual Learning.

Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Up to 100x Faster Data-Free Knowledge Distillation.

Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Secrecy-Oriented Optimization of Sparse Code Multiple Access for Simultaneous Wireless Information and Power Transfer in 6G Aerial Access Networks.

Jingmin Zhang, Xiaokui Yue, Xuan Li, Haofei Zhang, Tao Ni, Wensheng Lin

Wirel. Commun. Mob. Comput., 2021

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

Qihan Huang, Haofei Zhang, Jie Song, Mingli Song

CoRR, 2021

Tree-Like Decision Distillation.

Jie Song, Haofei Zhang, Xinchao Wang, Mengqi Xue, Ying Chen, Li Sun, Dacheng Tao, Mingli Song

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Impression Space from Deep Template Network.

Gongfan Fang, Xinchao Wang, Haofei Zhang, Jie Song, Mingli Song

CoRR, 2020