| Unintrusive eating recognition using Google Glass SA Rahman, C Merck, Y Huang, S Kleinberg 2015 9th International Conference on Pervasive Computing Technologies for …, 2015 | 89 | 2015 |
| Powerful graph convolutional networks with adaptive propagation mechanism for homophily and heterophily T Wang, D Jin, R Wang, D He, Y Huang Proceedings of the AAAI conference on artificial intelligence 36 (4), 4210-4218, 2022 | 86 | 2022 |
| Combining Fourier and lagged k-nearest neighbor imputation for biomedical time series data SA Rahman, Y Huang, J Claassen, N Heintzman, S Kleinberg Journal of biomedical informatics 58, 198-207, 2015 | 75 | 2015 |
| Multimodality sensing for eating recognition. CA Merck, C Maher, M Mirtchouk, M Zheng, Y Huang, S Kleinberg PervasiveHealth, 130-137, 2016 | 55 | 2016 |
| Adversarial Mutual Information Learning for Network Embedding. D He, L Zhai, Z Li, Di Jin 0001, L Yang, Y Huang, SY Philip IJCAI, 3321-3327, 2020 | 24 | 2020 |
| Fast and accurate causal inference from time series data Y Huang, S Kleinberg The twenty-eighth international flairs conference, 2015 | 21 | 2015 |
| Imputation of missing values in time series with lagged correlations SA Rahman, Y Huang, J Claassen, S Kleinberg 2014 IEEE International Conference on Data Mining Workshop, 753-762, 2014 | 19 | 2014 |
| Amer: A new attribute-missing network embedding approach D Jin, R Wang, T Wang, D He, W Ding, Y Huang, L Wang, W Pedrycz IEEE Transactions on Cybernetics 53 (7), 4306-4319, 2022 | 17 | 2022 |
| Causal structure of brain physiology after brain injury from subarachnoid hemorrhage J Claassen, SA Rahman, Y Huang, HP Frey, JM Schmidt, D Albers, ... PloS one 11 (4), e0149878, 2016 | 15 | 2016 |
| An ant-based algorithm with local optimization for community detection in large-scale networks D He, J Liu, B Yang, Y Huang, D Liu, D Jin Advances in Complex Systems 15 (08), 1250036, 2012 | 15 | 2012 |
| Trafformer: unify time and space in traffic prediction D Jin, J Shi, R Wang, Y Li, Y Huang, YB Yang Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8114-8122, 2023 | 14 | 2023 |
| Contrastive learning meets homophily: two birds with one stone D He, J Zhao, R Guo, Z Feng, D Jin, Y Huang, Z Wang, W Zhang International Conference on Machine Learning, 12775-12789, 2023 | 13 | 2023 |
| Adversarial representation mechanism learning for network embedding D He, T Wang, L Zhai, D Jin, L Yang, Y Huang, Z Feng, SY Philip IEEE Transactions on Knowledge and Data Engineering 35 (2), 1200-1213, 2021 | 13 | 2021 |
| An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph D He, W Song, D Jin, Z Feng, Y Huang IJCAI-2019, 2019 | 13 | 2019 |
| A search problem in complex diagnostic Bayesian networks D Liu, Y Huang, Q Yu, J Chen, H Jia Knowledge-Based Systems 30, 95-103, 2012 | 12 | 2012 |
| Graph neural network for higher-order dependency networks D Jin, Y Gong, Z Wang, Z Yu, D He, Y Huang, W Wang Proceedings of the ACM Web Conference 2022, 1622-1630, 2022 | 11 | 2022 |
| Inflation improves graph neural networks D He, R Guo, X Wang, D Jin, Y Huang, W Wang Proceedings of the ACM Web Conference 2022, 1466-1474, 2022 | 10 | 2022 |
| A network embedding-enhanced Bayesian model for generalized community detection in complex networks D He, Y Wang, J Cao, W Ding, S Chen, Z Feng, B Wang, Y Huang Information Sciences 575, 306-322, 2021 | 10 | 2021 |
| Functional brain abnormalities in major depressive disorder using a multiscale community detection approach N Li, D Jin, J Wei, Y Huang, J Xu Neuroscience 501, 1-10, 2022 | 8 | 2022 |
| A Novel Generative Topic Embedding Model by Introducing Network Communities D Jin, J Huang, P Jiao, L Yang, D He, F Fogelman, Y Huang WWW-2019, 2019 | 8 | 2019 |
