Kangkang Lu - RankMe

15 papers A* 1A 2B 1C 1Misc 1Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Survey and Evaluation of Adversarial Attacks in Object Detection. IEEE Trans. Neural Networks Learn. Syst. Khoi Nguyen Tiet Nguyen, Wenyu Zhang, Kangkang Lu, Yuhuan Wu, Xingjian Zheng, Hui Li Tan, Liangli Zhen
2025	A	`conf`	Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field. ICME Yuzhe Zhu, Lile Cai, Kangkang Lu, Fayao Liu, XuLei Yang
2025	J	`jnl`	Exploring Active Learning for Label-Efficient Training of Semantic Neural Radiance Field. CoRR Yuzhe Zhu, Lile Cai, Kangkang Lu, Fayao Liu, XuLei Yang
2024	J	`jnl`	A Survey and Evaluation of Adversarial Attacks for Object Detection. CoRR Khoi Nguyen Tiet Nguyen, Wenyu Zhang, Kangkang Lu, Yuhuan Wu, Xingjian Zheng, Hui Li Tan, Liangli Zhen
2024	J	`jnl`	Revisiting pretraining for semi-supervised learning in the low-label regime. Neurocomputing Xun Xu, Jingyi Liao, Lile Cai, Manh Cuong Nguyen, Kangkang Lu, Wanyue Zhang, Yasin Yazici, Chuan Sheng Foo
2023	J	`jnl`	Diverse and consistent multi-view networks for semi-supervised regression. Mach. Learn. Cuong Manh Nguyen, Arun Raja, Le Zhang, Xun Xu, Balagopal Unnikrishnan, Mohamed Ragab, Kangkang Lu, Chuan-Sheng Foo
2023	Misc	`conf`	On Adversarial Robustness of Audio Classifiers. ICASSP Kangkang Lu, Manh Cuong Nguyen, Xun Xu, Chuan Sheng Foo
2022	J	`jnl`	Revisiting Pretraining for Semi-Supervised Learning in the Low-Label Regime. CoRR Xun Xu, Jingyi Liao, Lile Cai, Cuong Manh Nguyen, Kangkang Lu, Wanyue Zhang, Yasin Yazici, Chuan Sheng Foo
2022	J	`jnl`	SemiCurv: Semi-Supervised Curvilinear Structure Segmentation. CoRR Xun Xu, Manh Cuong Nguyen, Yasin Yazici, Kangkang Lu, Hlaing Min, Chuan-Sheng Foo
2022	J	`jnl`	SemiCurv: Semi-Supervised Curvilinear Structure Segmentation. IEEE Trans. Image Process. Xun Xu, Cuong Manh Nguyen, Yasin Yazici, Kangkang Lu, Hlaing Min, Chuan-Sheng Foo
2021	J	`jnl`	A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition. CoRR Govind Narasimman, Kangkang Lu, Arun Raja, Chuan Sheng Foo, Mohamed M. Sabry Aly, Jie Lin, Vijay Chandrasekhar
2021	A*	`conf`	ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity. ICLR Kangkang Lu, Cuong Manh Nguyen, Xun Xu, Kiran Chari, Yu Jing Goh, Chuan-Sheng Foo
2019	A	`conf`	Semi-Supervised Audio Classification with Consistency-Based Regularization. INTERSPEECH Kangkang Lu, Chuan-Sheng Foo, Kah Kuan Teh, Huy Dat Tran, Vijay Ramaseshan Chandrasekhar
2018	B	`conf`	Dual-Resolution U-Net: Building Extraction from Aerial Images. ICPR Kangkang Lu, Ying Sun, Sim Heng Ong
2018	C	`conf`	Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. IGARSS 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