Zihang He

Orcid: 0000-0002-8242-0732

According to our database1, Zihang He authored at least 16 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Determining the proper number of proposals for individual images.
IET Comput. Vis., February, 2024

Efficient Deep-Learning 4D Automotive Radar Odometry Method.
IEEE Trans. Intell. Veh., January, 2024

V2X-Real: a Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception.
CoRR, 2024

RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Hypersphere anchor loss for K-Nearest neighbors.
Appl. Intell., December, 2023

Regulating confidence by corner discrepancy and center score in corner-based object detection methods.
J. Intell. Fuzzy Syst., 2023

Revisit Finetuning strategy for Few-Shot Learning to Transfer the Emdeddings.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Lightweight fine-grained classification for scientific paper.
J. Intell. Fuzzy Syst., 2022

OACNNs: Orientation adaptive convolutional neural networks.
J. Intell. Fuzzy Syst., 2022

2021
MegLoc: A Robust and Accurate Visual Localization Pipeline.
CoRR, 2021

Towards Understanding the Effectiveness of Attention Mechanism.
CoRR, 2021

2020
CraftNet: A deep learning ensemble to diagnose cardiovascular diseases.
Biomed. Signal Process. Control., 2020

2019
Spatial temporal graph convolutional networks for skeleton-based dynamic hand gesture recognition.
EURASIP J. Image Video Process., 2019

Embedding Rotate-and-Scale Net for Learning Invariant Features of Simple Images.
Proceedings of the Image and Graphics - 10th International Conference, 2019

2018
Mnist_transformation_test_dataset.
Dataset, November, 2018

SMAC: Simultaneous Mapping and Clustering Using Spectral Decompositions.
Proceedings of the 35th International Conference on Machine Learning, 2018


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