Kangkang Lu

According to our database, Kangkang Lu authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Structures Aware Fine-Grained Contrastive Adversarial Hashing for Cross-Media Retrieval.

Meiyu Liang, Yawen Li, Yang Yu, Xiaowen Cao, Zhe Xue, Ang Li, Kangkang Lu

IEEE Trans. Knowl. Data Eng., July, 2024

Revisiting pretraining for semi-supervised learning in the low-label regime.

Xun Xu, Jingyi Liao, Lile Cai, Manh Cuong Nguyen, Kangkang Lu, Wanyue Zhang, Yasin Yazici, Chuan Sheng Foo

Neurocomputing, January, 2024

A Survey and Evaluation of Adversarial Attacks for Object Detection.

Khoi Nguyen Tiet Nguyen, Wenyu Zhang, Kangkang Lu, Yuhuan Wu, Xingjian Zheng, Hui Li Tan, Liangli Zhen

CoRR, 2024

Information-Controllable Graph Contrastive Learning for Recommendation.

Zirui Guo, Yanhua Yu, Yuling Wang, Kangkang Lu, Zixuan Yang, Liang Pang, Tat-Seng Chua

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT Explanation.

Yanhua Yu, Yuanlong Wang, Yunshan Ma, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua

Proceedings of the Knowledge Science, Engineering and Management, 2024

Adversary and Attention Guided Knowledge Graph Reasoning Based on Reinforcement Learning.

Yanhua Yu, Xiuxiu Cai, Ang Ma, Yimeng Ren, Shuai Zhen, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua

Proceedings of the Knowledge Science, Engineering and Management, 2024

Unsupervised Multimodal Graph Contrastive Semantic Anchor Space Dynamic Knowledge Distillation Network for Cross-Media Hash Retrieval.

Yang Yu, Meiyu Liang, Mengran Yin, Kangkang Lu, Junping Du, Zhe Xue

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Hop-based Heterogeneous Graph Transformer.

Zixuan Yang, Xiao Wang, Yanhua Yu, Yuling Wang, Kangkang Lu, Zirui Guo, Xiting Qin, Yunshan Ma, Tat-Seng Chua

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction.

Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, Meiyu Liang, Mengran Yin, Tat-Seng Chua

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Diverse and consistent multi-view networks for semi-supervised regression.

Cuong Manh Nguyen, Arun Raja, Le Zhang, Xun Xu, Balagopal Unnikrishnan, Mohamed Ragab, Kangkang Lu, Chuan-Sheng Foo

Mach. Learn., July, 2023

Prior Knowledge Augmentation Network for Aspect-based Sentiment Analysis.

Min Feng, Yanhua Yu, Kangkang Lu, Zirui Guo, Xiuxiu Cai, Jie Li

Proceedings of the 6th International Conference on Machine Learning and Natural Language Processing, 2023

Deep Unsupervised Momentum Contrastive Hashing for Cross-modal Retrieval.

Kangkang Lu, Yanhua Yu, Meiyu Liang, Min Zhang, Xiaowen Cao, Zehua Zhao, Mengran Yin, Zhe Xue

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

On Adversarial Robustness of Audio Classifiers.

Kangkang Lu, Manh Cuong Nguyen, Xun Xu, Chuan Sheng Foo

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

SemiCurv: Semi-Supervised Curvilinear Structure Segmentation.

Xun Xu, Cuong Manh Nguyen, Yasin Yazici, Kangkang Lu, Hlaing Min, Chuan-Sheng Foo

IEEE Trans. Image Process., 2022

SemiCurv: Semi-Supervised Curvilinear Structure Segmentation.

Xun Xu, Manh Cuong Nguyen, Yasin Yazici, Kangkang Lu, Hlaing Min, Chuan-Sheng Foo

CoRR, 2022

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

Xun Xu, Jingyi Liao, Lile Cai, Cuong Manh Nguyen, Kangkang Lu, Wanyue Zhang, Yasin Yazici, Chuan Sheng Foo

CoRR, 2022

Semantic Structure Enhanced Contrastive Adversarial Hash Network for Cross-media Representation Learning.

MeiYu Liang, Junping Du, Xiaowen Cao, Yang Yu, Kangkang Lu, Zhe Xue, Min Zhang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Adversarial Guided Gradient Estimation Hashing for Cross-modal Retrieval.

Kangkang Lu, Meiyu Liang, Zhe Xue, Xiaowen Cao, Mengran Yin, Zehua Zhao

Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021

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

Govind Narasimman, Kangkang Lu, Arun Raja, Chuan Sheng Foo, Mohamed M. Sabry Aly, Jie Lin, Vijay Chandrasekhar

CoRR, 2021

ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity.

Kangkang Lu, Cuong Manh Nguyen, Xun Xu, Kiran Chari, Yu Jing Goh, Chuan-Sheng Foo

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Semi-Supervised Audio Classification with Consistency-Based Regularization.

Kangkang Lu, Chuan-Sheng Foo, Kah Kuan Teh, Huy Dat Tran, Vijay Ramaseshan Chandrasekhar

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Control and Testing of a Serial-Parallel XYZ Precision Positioner with a Discrete-Time Sliding Model Controller.

Yanling Tian, Yue Ma, Fujun Wang, Kangkang Lu, Xiaolu Zhao, Mingxuan Yang, Dawei Zhang

Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019

2018

Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark.

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

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Dual-Resolution U-Net: Building Extraction from Aerial Images.

Kangkang Lu, Ying Sun, Sim Heng Ong

Proceedings of the 24th International Conference on Pattern Recognition, 2018