| Admm for efficient deep learning with global convergence J Wang, F Yu, X Chen, L Zhao Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 48 | 2019 |
| Nonconvex generalization of admm for nonlinear equality constrained problems J Wang, L Zhao Results in Control and Optimization, 2020 | 33* | 2020 |
| Distant-supervision of heterogeneous multitask learning for social event forecasting with multilingual indicators L Zhao, J Wang, X Guo Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 28 | 2018 |
| Adverse event detection by integrating twitter data and VAERS J Wang, L Zhao, Y Ye, Y Zhang Journal of biomedical semantics 9 (1), 1-10, 2018 | 25 | 2018 |
| Multi-instance domain adaptation for vaccine adverse event detection J Wang, L Zhao Proceedings of the 2018 World Wide Web Conference, 97-106, 2018 | 25 | 2018 |
| Spatial event forecasting in social media with geographically hierarchical regularization L Zhao, J Wang, F Chen, CT Lu, N Ramakrishnan Proceedings of the IEEE 105 (10), 1953-1970, 2017 | 21 | 2017 |
| Convergence and Applications of ADMM on the Multi-convex Problems J Wang, L Zhao Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia …, 2022 | 15* | 2022 |
| Predicting drug–target interaction networks of human diseases based on multiple feature information W Yu, Y Yan, Q Liu, J Wang, Z Jiang Pharmacogenomics 14 (14), 1701-1707, 2013 | 15 | 2013 |
| Incomplete label uncertainty estimation for petition victory prediction with dynamic features J Wang, Y Gao, A Züfle, J Yang, L Zhao 2018 IEEE International Conference on Data Mining (ICDM), 537-546, 2018 | 14 | 2018 |
| Semi-supervised multi-instance interpretable models for flu shot adverse event detection J Wang, L Zhao, Y Ye 2018 IEEE International Conference on Big Data (Big Data), 851-860, 2018 | 13 | 2018 |
| Toward model parallelism for deep neural network based on gradient-free ADMM framework J Wang, Z Chai, Y Cheng, L Zhao 2020 IEEE International Conference on Data Mining (ICDM), 591-600, 2020 | 11 | 2020 |
| Using feature selection technique for drug-target interaction networks prediction W Yu, Z Jiang, J Wang, R Tao Current medicinal chemistry 18 (36), 5687-5693, 2011 | 11 | 2011 |
| Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems C Ling, J Jiang, J Wang, L Zhao SIGKDD, 2022 | 5 | 2022 |
| Accelerated gradient-free neural network training by multi-convex alternating optimization J Wang, H Li, L Zhao Neurocomputing 487, 130-143, 2022 | 4* | 2022 |
| An Invertible Graph Diffusion Neural Network for Source Localization J Wang, J Jiang, L Zhao Proceedings of the ACM Web Conference 2022, 1058-1069, 2022 | 4 | 2022 |
| The application of multi-block admm on isotonic regression problems J Wang, L Zhao 11th Workshop on Optimization for Machine Learning (OPT 2019), co-located …, 2019 | 4 | 2019 |
| Sign-regularized multi-task learning G Bai, J Torres, J Wang, L Zhao, C Vaca, C Abad SDM 2023, 2023 | 3* | 2023 |
| DeepGAR: Deep Graph Learning for Analogical Reasoning C Ling, T Chowdhury, J Jiang, J Wang, X Zhang, H Chen, L Zhao International Conference on Data Mining, 2022 | 2 | 2022 |
| Towards quantized model parallelism for graph-augmented MLPS based on gradient-free ADMM framework J Wang, H Li, Z Chai, Y Wang, Y Cheng, L Zhao IEEE Transactions on Neural Networks and Learning Systems, 2022 | 2 | 2022 |
| Community-based layerwise distributed training of graph convolutional networks H Li, J Wang, Y Wang, Y Cheng, L Zhao NeurIPS 2021 Workshop on Optimization for Machine Learning (OPT 2021), 2021 | 2 | 2021 |
