| End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion C Shang, Y Tang, J Huang, J Bi, X He, B Zhou The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019 | 400 | 2019 |
| 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 | 96 | 2017 |
| Discrete Graph Structure Learning for Forecasting Multiple Time Series C Shang, J Chen, J Bi International Conference on Learning Representations (ICLR), 2021 | 87 | 2021 |
| 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, 2018 | 82 | 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 | 59 | 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 | 53 | 2020 |
| 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 | 38 | 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 | 29 | 2018 |
| 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 | 11 | 2021 |
| 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, 2021 | 11 | 2021 |
| 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 | 11 | 2020 |
| 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 | 10 | 2020 |
| Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs C Shang, G Wang, P Qi, J Huang ACL 2022, 2022 | 7 | 2022 |
| End-to-end structure-aware convolutional networks for knowledge base completion C Shang, Y Tang, J Huang, X He, B Zhou US Patent App. 16/542,403, 2020 | 4 | 2020 |
| Event extraction from unstructured text data C Shang, A Panangadan, VK Prasanna Database and Expert Systems Applications: 26th International Conference …, 2015 | 4 | 2015 |
| 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 | 3 | 2021 |
| A carrier class IoT service architecture integrating IMS with SWE D Xie, C Shang, J Chen, Y Lai, C Pang International Journal of Distributed Sensor Networks 10 (5), 930472, 2014 | 3 | 2014 |
| Taxonomy construction via graph-based cross-domain knowledge transfer C Shang, S Dash, MFM Chowdhury, AM Gliozzo US Patent 11,423,307, 2022 | 1 | 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 | 1 | 2022 |
| End-to-End Structure-Aware Convolutional Networks on Graphs C Shang | 1 | 2020 |
Jinbo BiUniversity of ConnecticutVerified email at uconn.edu
