| Deep autoencoding gaussian mixture model for unsupervised anomaly detection B Zong, Q Song, MR Min, W Cheng, C Lumezanu, D Cho, H Chen International conference on learning representations, 2018 | 2258 | 2018 |
| 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 | 958 | 2019 |
| 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 33, 19620-19631, 2020 | 711 | 2020 |
| 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 | 327 | 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 | 275 | 2021 |
| Learning deep network representations with adversarially regularized autoencoders W Yu, C Zheng, W Cheng, CC Aggarwal, D Song, B Zong, H Chen, ... Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 232 | 2018 |
| Towards effective partition management for large graphs S Yang, X Yan, B Zong, A Khan Proceedings of the 2012 international conference on Management of Data, 517-528, 2012 | 219 | 2012 |
| LogLens: A real-time log analysis system B Debnath, M Solaimani, MAG Gulzar, N Arora, C Lumezanu, J Xu, ... 2018 IEEE 38th international conference on distributed computing systems …, 2018 | 130 | 2018 |
| 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 | 66 | 2020 |
| Efficient multicasting for delay tolerant networks using graph indexing M Mongiovi, K Psounis, AK Singh, X Yan, B Zong INFOCOM, 2012 Proceedings IEEE, 1386 -1394, 2012 | 62 | 2012 |
| 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 | 55 | 2021 |
| 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 | 44 | 2019 |
| 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 | 43 | 2020 |
| A broker-assisting trust and reputation system based on artificial neural network B Zong, F Xu, J Jiao, J Lv 2009 IEEE International Conference on Systems, Man and Cybernetics, 4710-4715, 2009 | 42 | 2009 |
| Temporal context-aware representation learning for question routing X Zhang, W Cheng, B Zong, Y Chen, J Xu, D Li, H Chen Proceedings of the 13th international conference on web search and data …, 2020 | 40 | 2020 |
| Behavior query discovery in system-generated temporal graphs B Zong, X Xiao, Z Li, Z Wu, Z Qian, X Yan, AK Singh, G Jiang arXiv preprint arXiv:1511.05911, 2015 | 36 | 2015 |
| Merlion: A machine learning library for time series A Bhatnagar, P Kassianik, C Liu, T Lan, W Yang, R Cassius, D Sahoo, ... arXiv preprint arXiv:2109.09265, 2021 | 34 | 2021 |
| 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 |
| Inferring the Underlying Structure of Information Cascades B Zong, Y Wu, AK Singh, X Yan Data Mining (ICDM), 2012 IEEE 12th International Conference on, 1218-1223, 2012 | 31 | 2012 |
Haifeng ChenNEC Laboratories America, Inc.chacuo.net의 이메일 확인됨