Kangkang Lu

Orcid: 0000-0002-1872-5494

Affiliations:
  • A*STAR, Institute for Infocomm Research, Singapore
  • National University of Singapore, Department of Electrical and Computer Engineering, Singapore (former)


According to our database1, Kangkang Lu authored at least 12 papers between 2018 and 2024.

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

Timeline

2018
2019
2020
2021
2022
2023
2024
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4
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Revisiting pretraining for semi-supervised learning in the low-label regime.
Neurocomputing, January, 2024

A Survey and Evaluation of Adversarial Attacks for Object Detection.
CoRR, 2024

2023
Diverse and consistent multi-view networks for semi-supervised regression.
Mach. Learn., July, 2023

On Adversarial Robustness of Audio Classifiers.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
SemiCurv: Semi-Supervised Curvilinear Structure Segmentation.
IEEE Trans. Image Process., 2022

SemiCurv: Semi-Supervised Curvilinear Structure Segmentation.
CoRR, 2022

Revisiting Pretraining for Semi-Supervised Learning in the Low-Label Regime.
CoRR, 2022

2021
A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition.
CoRR, 2021

ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity.
Proceedings of the 9th International Conference on Learning Representations, 2021

2019
Semi-Supervised Audio Classification with Consistency-Based Regularization.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018
Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Dual-Resolution U-Net: Building Extraction from Aerial Images.
Proceedings of the 24th International Conference on Pattern Recognition, 2018


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