Xiangping Wu

Orcid: 0000-0002-5267-2250

Affiliations:
  • Harbin Institute of Technology, Shenzhen, Guangdong, China


According to our database1, Xiangping Wu authored at least 13 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-Order Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TDeLTA: A Light-Weight and Robust Table Detection Method Based on Learning Text Arrangement.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning.
CoRR, 2023

Foreground and Text-lines Aware Document Image Rectification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021
LCSegNet: An Efficient Semantic Segmentation Network for Large-Scale Complex Chinese Character Recognition.
IEEE Trans. Multim., 2021

Decomposing word embedding with the capsule network.
Knowl. Based Syst., 2021

2020
Stroke Sequence-Dependent Deep Convolutional Neural Network for Online Handwritten Chinese Character Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2020

Gated Semantic Difference Based Sentence Semantic Equivalence Identification.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

AdaHGNN: Adaptive Hypergraph Neural Networks for Multi-Label Image Classification.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
Unconstrained Offline Handwritten Word Recognition by Position Embedding Integrated ResNets Model.
IEEE Signal Process. Lett., 2019

2017
CNN based music emotion classification.
CoRR, 2017

2016
Stroke Sequence-Dependent Deep Convolutional Neural Network for Online Handwritten Chinese Character Recognition.
CoRR, 2016

2014
A Short Texts Matching Method Using Shallow Features and Deep Features.
Proceedings of the Natural Language Processing and Chinese Computing, 2014


  Loading...