| 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 | 580 | 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 | 482 | 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 | 344 | 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 | 278 | 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 | 184 | 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 | 159 | 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 | 151 | 2019 |
| 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 | 138 | 2016 |
| 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 | 112 | 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 | 106 | 2021 |
| 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 | 92 | 2023 |
| Largest: A benchmark dataset for large-scale traffic forecasting X Liu, Y Xia, Y Liang, J Hu, Y Wang, L Bai, C Huang, Z Liu, B Hooi, ... Advances in Neural Information Processing Systems 36, 75354-75371, 2023 | 86 | 2023 |
| 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 | 81 | 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 | 76 | 2022 |
| Rethinking smart contract fuzzing: Fuzzing with invocation ordering and important branch revisiting Z Liu, P Qian, J Yang, L Liu, X Xu, Q He, X Zhang IEEE Transactions on Information Forensics and Security 18, 1237-1251, 2023 | 75 | 2023 |
| 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 | 72 | 2022 |
| 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 | 71 | 2023 |
| Alleviating structural distribution shift in graph anomaly detection Y Gao, X Wang, X He, Z Liu, H Feng, Y Zhang Proceedings of the sixteenth ACM international conference on web search and …, 2023 | 69 | 2023 |
| 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 | 65 | 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 | 65 | 2021 |
Roger ZimmermannProfessor of Computer Science, National University of SingaporeПотвърден имейл адрес: comp.nus.edu.sg