| 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 | 524 | 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 | 321 | 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 | 227 | 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 | 180 | 2021 |
| 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 | 130 | 2016 |
| 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 | 129 | 2020 |
| 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 | 120 | 2021 |
| 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 | 120 | 2019 |
| 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 | 100 | 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 | 71 | 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 | 57 | 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 | 52 | 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 | 45* | 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 | 43 | 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 | 43 | 2022 |
| 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 | 43 | 2021 |
| 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 | 43 | 2021 |
| 3d human motion prediction: A survey K Lyu, H Chen, Z Liu, B Zhang, R Wang Neurocomputing 489, 345-365, 2022 | 39 | 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 | 35 | 2023 |
| 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 | 35 | 2019 |
Roger ZimmermannProfessor of Computer Science, National University of SingaporeDirección de correo verificada de comp.nus.edu.sg
