| A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data C Zhang, D Song, Y Chen, X Feng, C Lumezanu, W Cheng, J Ni, B Zong, ... Proceedings of the AAAI conference on artificial intelligence 33 (01), 1409-1416, 2019 | 895 | 2019 |
| Robust graph representation learning via neural sparsification C Zheng, B Zong, W Cheng, D Song, J Ni, W Yu, H Chen, W Wang International Conference on Machine Learning, 11458-11468, 2020 | 310 | 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 Proceedings of the 14th ACM international conference on web search and data …, 2021 | 257 | 2021 |
| Structural temporal graph neural networks for anomaly detection in dynamic graphs L Cai, Z Chen, C Luo, J Gui, J Ni, D Li, H Chen Proceedings of the 30th ACM international conference on Information …, 2021 | 113 | 2021 |
| Heterogeneous graph matching networks S Wang, Z Chen, X Yu, D Li, J Ni, LA Tang, J Gui, Z Li, H Chen, PS Yu arXiv preprint arXiv:1910.08074, 2019 | 88 | 2019 |
| Convolutional transformer based dual discriminator generative adversarial networks for video anomaly detection X Feng, D Song, Y Chen, Z Chen, J Ni, H Chen Proceedings of the 29th ACM International Conference on Multimedia, 5546-5554, 2021 | 83 | 2021 |
| Inside the atoms: ranking on a network of networks J Ni, H Tong, W Fan, X Zhang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 79 | 2014 |
| Co-regularized deep multi-network embedding J Ni, S Chang, X Liu, W Cheng, H Chen, D Xu, X Zhang Proceedings of the 2018 world wide web conference, 469-478, 2018 | 75 | 2018 |
| Multi-scale one-class recurrent neural networks for discrete event sequence anomaly detection Z Wang, Z Chen, J Ni, H Liu, H Chen, J Tang Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 70 | 2021 |
| Flexible and robust multi-network clustering J Ni, H Tong, W Fan, X Zhang Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 66 | 2015 |
| Asymmetrical hierarchical networks with attentive interactions for interpretable review-based recommendation X Dong, J Ni, W Cheng, Z Chen, B Zong, D Song, Y Liu, H Chen, ... Proceedings of the AAAI conference on artificial intelligence 34 (05), 7667-7674, 2020 | 61 | 2020 |
| Dynamic gaussian mixture based deep generative model for robust forecasting on sparse multivariate time series Y Wu, J Ni, W Cheng, B Zong, D Song, Z Chen, Y Liu, X Zhang, H Chen, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 651-659, 2021 | 47 | 2021 |
| 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 | 46 | 2023 |
| Tensorized LSTM with adaptive shared memory for learning trends in multivariate time series D Xu, W Cheng, B Zong, D Song, J Ni, W Yu, Y Liu, H Chen, X Zhang Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1395-1402, 2020 | 42 | 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 | 40 | 2019 |
| Many heads are better than one: Local community detection by the multi-walker chain Y Bian, J Ni, W Cheng, X Zhang 2017 IEEE international conference on data mining (ICDM), 21-30, 2017 | 40 | 2017 |
| Attentional heterogeneous graph neural network: Application to program reidentification S Wang, Z Chen, D Li, Z Li, LA Tang, J Ni, J Rhee, H Chen, PS Yu Proceedings of the 2019 SIAM International Conference on Data Mining, 693-701, 2019 | 39 | 2019 |
| Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model J Ni, M Koyuturk, H Tong, J Haines, R Xu, X Zhang BMC bioinformatics 17, 1-13, 2016 | 38 | 2016 |
| Inductive and unsupervised representation learning on graph structured objects L Wang, B Zong, Q Ma, W Cheng, J Ni, W Yu, Y Liu, D Song, H Chen, ... International conference on learning representations, 2020 | 34 | 2020 |
| Deep co-clustering D Xu, W Cheng, B Zong, J Ni, D Song, W Yu, Y Chen, H Chen, X Zhang Proceedings of the 2019 SIAM International Conference on Data Mining, 414-422, 2019 | 32 | 2019 |
Wei ChengSenior Research Staff Member, NEC Laboratories America (Ph.D, UNC-Chapel Hill)Verified email at nec-labs.com
