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ORCIDKangkang Lu 0001
Person information
- affiliation: A*STAR, Institute for Infocomm Research, Singapore
- affiliation (former): National University of Singapore, Department of Electrical and Computer Engineering, Singapore
Other persons with the same name
- Kangkang Lu 0002
![[0000-0003-0983-758X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0983-758X")
— Beijing University of Posts and Telecommunications, China - Kangkang Lu 0003 — Tianjin University, School of Mechanical Engineering, China
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Journal Articles
- 2024
[j3]Xun Xu, Jingyi Liao, Lile Cai, Manh Cuong Nguyen, Kangkang Lu, Wanyue Zhang, Yasin Yazici, Chuan Sheng Foo:
Revisiting pretraining for semi-supervised learning in the low-label regime. Neurocomputing 565: 126971 (2024)- 2023
- [j2]Cuong Manh Nguyen, Arun Raja, Le Zhang, Xun Xu, Balagopal Unnikrishnan, Mohamed Ragab, Kangkang Lu, Chuan-Sheng Foo:
Diverse and consistent multi-view networks for semi-supervised regression. Mach. Learn. 112(7): 2359-2395 (2023) - 2022
- [j1]Xun Xu, Cuong Manh Nguyen, Yasin Yazici, Kangkang Lu, Hlaing Min, Chuan-Sheng Foo:
SemiCurv: Semi-Supervised Curvilinear Structure Segmentation. IEEE Trans. Image Process. 31: 5109-5120 (2022)
Conference and Workshop Papers
- 2023
- [c5]Kangkang Lu, Manh Cuong Nguyen, Xun Xu, Chuan Sheng Foo:
On Adversarial Robustness of Audio Classifiers. ICASSP 2023: 1-5 - 2021
- [c4]Kangkang Lu, Cuong Manh Nguyen, Xun Xu, Kiran Chari, Yu Jing Goh, Chuan-Sheng Foo:
ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity. ICLR 2021 - 2019
- [c3]Kangkang Lu, Chuan-Sheng Foo, Kah Kuan Teh, Huy Dat Tran, Vijay Ramaseshan Chandrasekhar:
Semi-Supervised Audio Classification with Consistency-Based Regularization. INTERSPEECH 2019: 3654-3658 - 2018
- [c2]Kangkang Lu, Ying Sun, Sim Heng Ong:
Dual-Resolution U-Net: Building Extraction from Aerial Images. ICPR 2018: 489-494 - [c1]Bohao Huang, Kangkang Lu, Nicolas Audebert, Andrew Khalel, Yuliya Tarabalka, Jordan M. Malof, Alexandre Boulch, Bertrand Le Saux, Leslie M. Collins, Kyle Bradbury, Sébastien Lefèvre, Motaz El-Saban:
Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. IGARSS 2018: 6947-6950
Informal and Other Publications
- 2024
- [i4]Khoi Nguyen Tiet Nguyen, Wenyu Zhang, Kangkang Lu, Yuhuan Wu, Xingjian Zheng, Hui Li Tan, Liangli Zhen:
A Survey and Evaluation of Adversarial Attacks for Object Detection. CoRR abs/2408.01934 (2024) - 2022
- [i3]Xun Xu, Jingyi Liao, Lile Cai, Cuong Manh Nguyen, Kangkang Lu, Wanyue Zhang, Yasin Yazici, Chuan Sheng Foo:
Revisiting Pretraining for Semi-Supervised Learning in the Low-Label Regime. CoRR abs/2205.03001 (2022) - [i2]Xun Xu, Manh Cuong Nguyen, Yasin Yazici, Kangkang Lu, Hlaing Min, Chuan-Sheng Foo:
SemiCurv: Semi-Supervised Curvilinear Structure Segmentation. CoRR abs/2205.08706 (2022) - 2021
- [i1]Govind Narasimman, Kangkang Lu, Arun Raja, Chuan Sheng Foo, Mohamed M. Sabry Aly, Jie Lin, Vijay Chandrasekhar:
A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition. CoRR abs/2101.04859 (2021)
Coauthor Index
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