Han Wu

Orcid: 0000-0002-3750-0696

Affiliations:
  • Peking University, Department of Electronics Engineering and Computer Science, Key Lab of Machine Perception, Beijing, China
  • University of Sydney, Department of Business School, Faculty of Engineering, School of Computer Science, NSW, Australia (PhD 2021)


According to our database1, Han Wu authored at least 15 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
Prompted Meta-Learning for Few-shot Knowledge Graph Completion.
CoRR, May, 2025

2024
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Data-efficient Large Vision Models through Sequential Autoregression.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
FastMIM: Expediting Masked Image Modeling Pre-training for Vision.
CoRR, 2022

Hire-MLP: Vision MLP via Hierarchical Rearrangement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CMT: Convolutional Neural Networks Meet Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Cross-Modal Representation Learning for Lightweight and Accurate Facial Action Unit Detection.
IEEE Robotics Autom. Lett., 2021

CMT: Convolutional Neural Networks Meet Vision Transformers.
CoRR, 2021

Positive-Unlabeled Data Purification in the Wild for Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Distilling Object Detectors via Decoupled Features.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018
Let home nursing assistant robots see your heart rate.
Int. J. Crowd Sci., 2018

A Fast and Accurate Multi-Model Facial Expression Recognition Method for Affective Intelligent Robots.
Proceedings of the IEEE International Conference on Intelligence and Safety for Robotics, 2018

A Real-Time Vision-Based Heart Rate Measurement Framework for Home Nursing Assistance.
Proceedings of the 3rd International Conference on Crowd Science and Engineering, 2018


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