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2020 – today
- 2024
[j4]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)- [j3]Meiyu Liang, Yawen Li, Yang Yu, Xiaowen Cao, Zhe Xue, Ang Li, Kangkang Lu:
Structures Aware Fine-Grained Contrastive Adversarial Hashing for Cross-Media Retrieval. IEEE Trans. Knowl. Data Eng. 36(7): 3514-3528 (2024) - [c16]Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, Meiyu Liang, Mengran Yin, Tat-Seng Chua:
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction. AAAI 2024: 14158-14166 - [c15]Zixuan Yang, Xiao Wang, Yanhua Yu, Yuling Wang, Kangkang Lu, Zirui Guo, Xiting Qin, Yunshan Ma, Tat-Seng Chua:
Hop-based Heterogeneous Graph Transformer. ECAI 2024: 2346-2353 - [c14]Yang Yu, Meiyu Liang, Mengran Yin, Kangkang Lu, Junping Du, Zhe Xue:
Unsupervised Multimodal Graph Contrastive Semantic Anchor Space Dynamic Knowledge Distillation Network for Cross-Media Hash Retrieval. ICDE 2024: 4699-4708 - [c13]Yanhua Yu, Xiuxiu Cai, Ang Ma, Yimeng Ren, Shuai Zhen, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua:
Adversary and Attention Guided Knowledge Graph Reasoning Based on Reinforcement Learning. KSEM (5) 2024: 3-16 - [c12]Yanhua Yu, Yuanlong Wang, Yunshan Ma, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua:
EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT Explanation. KSEM (1) 2024: 28-40 - [c11]Zirui Guo, Yanhua Yu, Yuling Wang, Kangkang Lu, Zixuan Yang, Liang Pang, Tat-Seng Chua:
Information-Controllable Graph Contrastive Learning for Recommendation. RecSys 2024: 528-537 - [i5]Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, Meiyu Liang, Mengran Yin, Tat-Seng Chua:
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction. CoRR abs/2401.15603 (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) - 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) - [c10]Kangkang Lu, Manh Cuong Nguyen, Xun Xu, Chuan Sheng Foo:
On Adversarial Robustness of Audio Classifiers. ICASSP 2023: 1-5 - [c9]Kangkang Lu, Yanhua Yu, Meiyu Liang, Min Zhang, Xiaowen Cao, Zehua Zhao, Mengran Yin, Zhe Xue:
Deep Unsupervised Momentum Contrastive Hashing for Cross-modal Retrieval. ICME 2023: 126-131 - [c8]Min Feng, Yanhua Yu, Kangkang Lu, Zirui Guo, Xiuxiu Cai, Jie Li:
Prior Knowledge Augmentation Network for Aspect-based Sentiment Analysis. MLNLP 2023: 48-55 - 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) - [c7]Kangkang Lu, Meiyu Liang, Zhe Xue, Xiaowen Cao, Mengran Yin, Zehua Zhao:
Adversarial Guided Gradient Estimation Hashing for Cross-modal Retrieval. CCIS 2022: 109-113 - [c6]MeiYu Liang, Junping Du, Xiaowen Cao, Yang Yu, Kangkang Lu, Zhe Xue, Min Zhang:
Semantic Structure Enhanced Contrastive Adversarial Hash Network for Cross-media Representation Learning. ACM Multimedia 2022: 277-285 - [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
- [c5]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 - [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)
2010 – 2019
- 2019
- [c4]Yanling Tian, Yue Ma, Fujun Wang, Kangkang Lu, Xiaolu Zhao, Mingxuan Yang, Dawei Zhang:
Control and Testing of a Serial-Parallel XYZ Precision Positioner with a Discrete-Time Sliding Model Controller. ICIRA (2) 2019: 266-276 - [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
Coauthor Index
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last updated on 2024-10-28 21:16 CET by the dblp team
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