| 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 | 469 | 2020 |
| Netwalk: A flexible deep embedding approach for anomaly detection in dynamic networks W Yu, W Cheng, CC Aggarwal, K Zhang, H Chen, W Wang Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 355 | 2018 |
| 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 | 251 | 2020 |
| 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 | 209 | 2018 |
| 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 | 198 | 2021 |
| Universal representationlearning of knowledge bases by jointly embedding instances and ontological concepts J Hao, M Chen, W Yu, Y Sun, W Wang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 172 | 2019 |
| Learning deep representations via extreme learning machines W Yu, F Zhuang, Q He, Z Shi Neurocomputing 149, 308-315, 2015 | 118 | 2015 |
| Short text feature selection for micro-blog mining Z Liu, W Yu, W Chen, S Wang, F Wu 2010 International Conference on Computational Intelligence and Software …, 2010 | 113 | 2010 |
| Link Prediction with Spatial and Temporal Consistency in Dynamic Networks W Yu, W Cheng, CC Aggarwal, H Chen, W Wang Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017 | 94 | 2017 |
| Temporally factorized network modeling for evolutionary network analysis W Yu, CC Aggarwal, W Wang Proceedings of the Tenth ACM International conference on web search and data …, 2017 | 78 | 2017 |
| Toward automating HIV identification: machine learning for rapid identification of HIV-related social media data SD Young, W Yu, W Wang JAIDS Journal of Acquired Immune Deficiency Syndromes 74, S128-S131, 2017 | 69 | 2017 |
| Embedding with autoencoder regularization W Yu, G Zeng, P Luo, F Zhuang, Q He, Z Shi Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 58 | 2013 |
| 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 | 34 | 2020 |
| Transfer learning with multiple sources via consensus regularized autoencoders F Zhuang, X Cheng, SJ Pan, W Yu, Q He, Z Shi Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | 32 | 2014 |
| 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, 2019 | 31 | 2019 |
| 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 | 28 | 2019 |
| Learning Robust Representations with Graph Denoising Policy Network L Wang, W Yu, W Wang, W Cheng, W Zhang, H Zha, X He, H Chen 2019 IEEE International Conference on Data Mining (ICDM), 1378-1383, 2019 | 25 | 2019 |
| Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes L Wang, W Yu, X He, W Cheng, MR Ren, W Wang, B Zong, H Chen, ... Proceedings of The Web Conference 2020, 1785-1795, 2020 | 21 | 2020 |
| 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 | 19 | 2023 |
| You are what and where you are: Graph enhanced attention network for explainable poi recommendation Z Li, W Cheng, H Xiao, W Yu, H Chen, W Wang Proceedings of the 30th ACM International conference on information …, 2021 | 19 | 2021 |
Wei ChengSenior Research Staff Member, NEC Laboratories America (Ph.D, UNC-Chapel Hill)Vahvistettu sähköpostiosoite verkkotunnuksessa nec-labs.com
