| End-to-end structure-aware convolutional networks for knowledge base completion C Shang, Y Tang, J Huang, J Bi, X He, B Zhou Proceedings of the AAAI conference on artificial intelligence 33 (01), 3060-3067, 2019 | 630 | 2019 |
| Discrete graph structure learning for forecasting multiple time series C Shang, J Chen, J Bi arXiv preprint arXiv:2101.06861, 2021 | 255 | 2021 |
| VIGAN: Missing view imputation with generative adversarial networks C Shang, A Palmer, J Sun, KS Chen, J Lu, J Bi 2017 IEEE International conference on big data (Big Data), 766-775, 2017 | 138 | 2017 |
| Edge attention-based multi-relational graph convolutional networks C Shang, Q Liu, KS Chen, J Sun, J Lu, J Yi, J Bi arXiv preprint arXiv:1802.04944 2, 2018 | 105 | 2018 |
| Joint modeling of heterogeneous sensing data for depression assessment via multi-task learning J Lu, C Shang, C Yue, R Morillo, S Ware, J Kamath, A Bamis, A Russell, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 84 | 2018 |
| Predicting depressive symptoms using smartphone data S Ware, C Yue, R Morillo, J Lu, C Shang, J Bi, J Kamath, A Russell, ... Smart Health 15, 100093, 2020 | 69 | 2020 |
| Tag: Gradient attack on transformer-based language models J Deng, Y Wang, J Li, C Shang, H Liu, S Rajasekaran, C Ding arXiv preprint arXiv:2103.06819, 2021 | 58 | 2021 |
| Large-scale automatic depression screening using meta-data from wifi infrastructure S Ware, C Yue, R Morillo, J Lu, C Shang, J Kamath, A Bamis, J Bi, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 55 | 2018 |
| Fusing location data for depression prediction C Yue, S Ware, R Morillo, J Lu, C Shang, J Bi, J Kamath, A Russell, ... IEEE Transactions on Big Data 7 (2), 355-370, 2018 | 40 | 2018 |
| Improving time sensitivity for question answering over temporal knowledge graphs C Shang, G Wang, P Qi, J Huang arXiv preprint arXiv:2203.00255, 2022 | 31 | 2022 |
| Automatic depression prediction using internet traffic characteristics on smartphones C Yue, S Ware, R Morillo, J Lu, C Shang, J Bi, J Kamath, A Russell, ... Smart Health 18, 100137, 2020 | 21 | 2020 |
| Multi-view spectral graph convolution with consistent edge attention for molecular modeling C Shang, Q Liu, Q Tong, J Sun, M Song, J Bi Neurocomputing 445, 12-25, 2021 | 18 | 2021 |
| Taxonomy construction of unseen domains via graph-based cross-domain knowledge transfer C Shang, S Dash, MFM Chowdhury, N Mihindukulasooriya, A Gliozzo Proceedings of the 58th annual meeting of the Association for Computational …, 2020 | 12 | 2020 |
| Open temporal relation extraction for question answering C Shang, P Qi, G Wang, J Huang, Y Wu, B Zhou 3rd Conference on Automated Knowledge Base Construction, 2021 | 7 | 2021 |
| Diable: Efficient dialogue state tracking as operations on tables P Lesci, Y Fujinuma, M Hardalov, C Shang, Y Benajiba, L Marquez arXiv preprint arXiv:2305.17020, 2023 | 5 | 2023 |
| Automatic depression screening using social interaction data on smartphones S Ware, C Yue, R Morillo, C Shang, J Bi, J Kamath, A Russell, D Song, ... Smart Health 26, 100356, 2022 | 4 | 2022 |
| Taxonomy construction via graph-based cross-domain knowledge transfer C Shang, S Dash, MFM Chowdhury, AM Gliozzo US Patent 11,423,307, 2022 | 4 | 2022 |
| Variance of the gradient also matters: Privacy leakage from gradients Y Wang, J Deng, D Guo, C Wang, X Meng, H Liu, C Shang, B Wang, ... 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 4 | 2022 |
| End-to-end structure-aware convolutional networks on graphs C Shang | 4 | 2020 |
| Event extraction from unstructured text data C Shang, A Panangadan, VK Prasanna International Conference on Data Management in Cloud, Grid and P2P Systems …, 2015 | 4 | 2015 |
Jinbo BiUniversity of Connecticut在 uconn.edu 的电子邮件经过验证
