| Parameterized Explainer for Graph Neural Network D Luo, W Cheng, D Xu, W Yu, B Zong, H Chen, X Zhang Advances in Neural Information Processing Systems, 2020 | 380 | 2020 |
| Learning to Drop: Robust Graph Neural Network via Topological Denoising D Luo, W Cheng, W Yu, B Zong, J Ni, H Chen, X Zhang International Conference on Web Search and Data Mining, 2021 | 166 | 2021 |
| Infogcl: Information-aware graph contrastive learning D Xu, W Cheng, D Luo, H Chen, X Zhang Advances in Neural Information Processing Systems 34, 30414-30425, 2021 | 110 | 2021 |
| Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. D Xu, W Cheng, D Luo, X Liu, X Zhang IJCAI, 3947-3953, 2019 | 70 | 2019 |
| Local community detection in multiple networks D Luo, Y Bian, Y Yan, X Liu, J Huan, X Zhang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 36 | 2020 |
| Adaptive neural network for node classification in dynamic networks D Xu, W Cheng, D Luo, Y Gu, X Liu, J Ni, B Zong, H Chen, X Zhang 2019 IEEE International Conference on Data Mining (ICDM), 1402-1407, 2019 | 33 | 2019 |
| Constrained local graph clustering by colored random walk Y Yan, Y Bian, D Luo, D Lee, X Zhang The world wide web conference, 2137-2146, 2019 | 31 | 2019 |
| On multi-query local community detection Y Bian, Y Yan, W Cheng, W Wang, D Luo, X Zhang 2018 IEEE international conference on data mining (ICDM), 9-18, 2018 | 29 | 2018 |
| Deep Multi-Graph Clustering via Attentive Cross-Graph Association D Luo, J Ni, S Wang, Y Bian, X Yu, X Zhang Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 27 | 2020 |
| Towards Faithful and Consistent Explanations for Graph Neural Networks T Zhao, D Luo, X Zhang, S Wang Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 15* | 2023 |
| Query independent scholarly article ranking S Ma, C Gong, R Hu, D Luo, C Hu, J Huai 2018 IEEE 34th international conference on data engineering (ICDE), 953-964, 2018 | 14 | 2018 |
| Memory-based random walk for multi-query local community detection Y Bian, D Luo, Y Yan, W Cheng, W Wang, X Zhang Knowledge and Information Systems 62, 2067-2101, 2020 | 13* | 2020 |
| Ensemble enabled weighted PageRank D Luo, C Gong, R Hu, L Duan, S Ma arXiv preprint arXiv:1604.05462, 2016 | 11 | 2016 |
| Unsupervised document embedding via contrastive augmentation D Luo, W Cheng, J Ni, W Yu, X Zhang, B Zong, Y Liu, Z Chen, D Song, ... arXiv preprint arXiv:2103.14542, 2021 | 10 | 2021 |
| TopoImb: Toward Topology-level Imbalance in Learning from Graphs T Zhao, D Luo, X Zhang, S Wang Learning on Graphs Conference, 37: 1-37: 18, 2022 | 6 | 2022 |
| Time series contrastive learning with information-aware augmentations D Luo, W Cheng, Y Wang, D Xu, J Ni, W Yu, X Zhang, Y Liu, Y Chen, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4534-4542, 2023 | 5* | 2023 |
| Deep multi-instance contrastive learning with dual attention for anomaly precursor detection D Xu, W Cheng, J Ni, D Luo, M Natsumeda, D Song, B Zong, H Chen, ... Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 4 | 2021 |
| Attentive social recommendation: Towards user and item diversities D Luo, Y Bian, X Zhang, J Huan arXiv preprint arXiv:2011.04797, 2020 | 4 | 2020 |
| Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment T Zhao, D Luo, X Zhang, S Wang arXiv preprint arXiv:2301.02791, 2023 | 3 | 2023 |
| Personalized federated learning via heterogeneous modular networks T Wang, W Cheng, D Luo, W Yu, J Ni, L Tong, H Chen, X Zhang 2022 IEEE International Conference on Data Mining (ICDM), 1197-1202, 2022 | 3 | 2022 |
Wei ChengSenior Research Staff Member, NEC Laboratories America (Ph.D, UNC-Chapel Hill)Verified email at nec-labs.com
