Zhenguang Liu
Zhenguang Liu
National University of Singapore
Verified email at zju.edu.cn - Homepage
Cited by
Cited by
Nais: Neural attentive item similarity model for recommendation
X He, Z He, J Song, Z Liu, YG Jiang, TS Chua
IEEE Transactions on Knowledge and Data Engineering 30 (12), 2354-2366, 2018
Fusion of magnetic and visual sensors for indoor localization: Infrastructure-free and more effective
Z Liu, L Zhang, Q Liu, Y Yin, L Cheng, R Zimmermann
IEEE Transactions on Multimedia 19 (4), 874-888, 2016
Behavior pattern clustering in blockchain networks
B Huang, Z Liu, J Chen, A Liu, Q Liu, Q He
Multimedia Tools and Applications 76 (19), 20099-20110, 2017
Towards natural and accurate future motion prediction of humans and animals
Z Liu, S Wu, S Jin, Q Liu, S Lu, R Zimmermann, L Cheng
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Smart contract vulnerability detection using graph neural networks
Z Yuan, L Zhenguang, Q Peng, L Qi, W Xiang, H Qinming
IJCAI, 2020
Multiview and multimodal pervasive indoor localization
Z Liu, L Cheng, A Liu, L Zhang, X He, R Zimmermann
Proceedings of the 25th ACM international Conference on Multimedia, 109-117, 2017
Learning Intents behind Interactions with Knowledge Graph for Recommendation
X Wang, T Huang, D Wang, Y Yuan, Z Liu, X He, TS Chua
Proceedings of the Web Conference 2021, 878-887, 2021
Towards automated reentrancy detection for smart contracts based on sequential models
P Qian, Z Liu, Q He, R Zimmermann, X Wang
IEEE Access 8, 19685-19695, 2020
Prior-free rare category detection: More effective and efficient solutions
Z Liu, K Chiew, Q He, H Huang, B Huang
Expert systems with applications 41 (17), 7691-7706, 2014
Learning from crowds under experts’ supervision
Q Hu, Q He, H Huang, K Chiew, Z Liu
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 200-211, 2014
Deep Dual Consecutive Network for Human Pose Estimation
Z Liu, H Chen, R Feng, S Wu, S Ji, B Yang, X Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Gps2vec: Towards generating worldwide gps embeddings
Y Yin, Z Liu, Y Zhang, S Wang, RR Shah, R Zimmermann
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019
Fastshrinkage: Perceptually-aware retargeting toward mobile platforms
Z Liu, Z Wang, L Zhang, RR Shah, Y Xia, Y Yang, X Li
Proceedings of the 25th ACM international conference on Multimedia, 501-509, 2017
Weakly supervised multimodal kernel for categorizing aerial photographs
Y Xia, L Zhang, Z Liu, L Nie, X Li
IEEE Transactions on Image Processing 26 (8), 3748-3758, 2016
Combining graph neural networks with expert knowledge for smart contract vulnerability detection
Z Liu, P Qian, X Wang, Y Zhuang, L Qiu, X Wang
IEEE Transactions on Knowledge and Data Engineering, 2021
Perceptual multi-channel visual feature fusion for scene categorization
X Sun, Z Liu, Y Hu, L Zhang, R Zimmermann
Information Sciences 429, 37-48, 2018
False data separation for data security in smart grids
H Huang, Q Yan, Y Zhao, W Lu, Z Liu, Z Li
Knowledge and Information Systems 52 (3), 815-834, 2017
Rare category exploration on linear time complexity
Z Liu, H Huang, Q He, K Chiew, Y Gao
International Conference on Database Systems for Advanced Applications, 37-54, 2015
Toward seed-insensitive solutions to local community detection
L Ma, H Huang, Q He, K Chiew, Z Liu
Journal of Intelligent Information Systems 43 (1), 183-203, 2014
Geographic information use in weakly-supervised deep learning for landmark recognition
Y Yin, Z Liu, R Zimmermann
2017 IEEE International Conference on Multimedia and Expo (ICME), 1015-1020, 2017
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