Zhenguang Liu
Zhenguang Liu
Zweryfikowany adres z zju.edu.cn - Strona główna
Cytowane przez
Cytowane przez
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
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
Smart contract vulnerability detection using graph neural networks
Z Yuan, L Zhenguang, Q Peng, L Qi, W Xiang, H Qinming
IJCAI, 3283-3290, 2020
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 35 (2), 1296-1310, 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
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
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
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
Behavior pattern clustering in blockchain networks
B Huang, Z Liu, J Chen, A Liu, Q Liu, Q He
Multimedia Tools and Applications 76, 20099-20110, 2017
Smart contract vulnerability detection: from pure neural network to interpretable graph feature and expert pattern fusion
Z Liu, P Qian, X Wang, L Zhu, Q He, S Ji
arXiv preprint arXiv:2106.09282, 2021
Investigating pose representations and motion contexts modeling for 3D motion prediction
Z Liu, S Wu, S Jin, S Ji, Q Liu, S Lu, L Cheng
IEEE transactions on pattern analysis and machine intelligence 45 (1), 681-697, 2022
Temporal feature alignment and mutual information maximization for video-based human pose estimation
Z Liu, R Feng, H Chen, S Wu, Y Gao, Y Gao, X Wang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Motion prediction using trajectory cues
Z Liu, P Su, S Wu, X Shen, H Chen, Y Hao, M Wang
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
Aggregated multi-gans for controlled 3d human motion prediction
Z Liu, K Lyu, S Wu, H Chen, Y Hao, S Ji
Proceedings of the AAAI conference on artificial intelligence 35 (3), 2225-2232, 2021
Invariant feature learning for generalized long-tailed classification
K Tang, M Tao, J Qi, Z Liu, H Zhang
European Conference on Computer Vision, 709-726, 2022
Smart contract vulnerability detection technique: A survey
P Qian, Z Liu, Q He, B Huang, D Tian, X Wang
arXiv preprint arXiv:2209.05872, 2022
Hierarchical multi-view context modelling for 3D object classification and retrieval
AA Liu, H Zhou, W Nie, Z Liu, W Liu, H Xie, Z Mao, X Li, D Song
Information Sciences 547, 984-995, 2021
3d human motion prediction: A survey
K Lyu, H Chen, Z Liu, B Zhang, R Wang
Neurocomputing 489, 345-365, 2022
Addressing heterophily in graph anomaly detection: A perspective of graph spectrum
Y Gao, X Wang, X He, Z Liu, H Feng, Y Zhang
Proceedings of the ACM Web Conference 2023, 1528-1538, 2023
2D Human pose estimation: A survey
H Chen, R Feng, S Wu, H Xu, F Zhou, Z Liu
Multimedia Systems 29 (5), 3115-3138, 2023
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