| 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 | 153 | 2017 |
| Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data AA Farhan, C Yue, R Morillo, S Ware, J Lu, J Bi, J Kamath, A Russell, ... 2016 IEEE wireless health (WH), 1-8, 2016 | 123 | 2016 |
| 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 | 110 | 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 | 92 | 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 | 79 | 2020 |
| Multi-view bi-clustering to identify smartphone sensing features indicative of depression AA Farhan, J Lu, J Bi, A Russell, B Wang, A Bamis 2016 IEEE first international conference on connected health: applications …, 2016 | 73 | 2016 |
| Multi-view sparse co-clustering via proximal alternating linearized minimization J Sun, J Lu, T Xu, J Bi Proceedings of The 32nd International Conference on Machine Learning, 757-766, 2015 | 68 | 2015 |
| Multi-view cluster analysis with incomplete data to understand treatment effects G Chao, J Sun, J Lu, AL Wang, DD Langleben, CS Li, J Bi Information sciences 494, 278-293, 2019 | 64 | 2019 |
| 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 | 61 | 2018 |
| Towards artificial general intelligence (agi) in the internet of things (iot): Opportunities and challenges F Dou, J Ye, G Yuan, Q Lu, W Niu, H Sun, L Guan, G Lu, G Mai, N Liu, ... arXiv preprint arXiv:2309.07438, 2023 | 47 | 2023 |
| 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 | 41 | 2018 |
| A sparse interactive model for matrix completion with side information J Lu, G Liang, J Sun, J Bi Advances in neural information processing systems 29, 2016 | 41 | 2016 |
| Formation of point bars through rising and falling flood stages: Evidence from bar morphology, sediment transport and bed shear stress C Wu, MS Ullah, J Lu, JP Bhattacharya Sedimentology 63 (6), 1458-1473, 2016 | 36 | 2016 |
| Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data. In 2016 IEEE Wireless Health (WH) AA Farhan, C Yue, R Morillo, S Ware, J Lu, J Bi, J Kamath, A Russell, ... WH 2016, 30-37, 2016 | 33 | 2016 |
| A bisection reinforcement learning approach to 3-D indoor localization F Dou, J Lu, T Xu, CH Huang, J Bi IEEE Internet of Things Journal 8 (8), 6519-6535, 2020 | 28 | 2020 |
| Top-down indoor localization with Wi-fi fingerprints using deep Q-network F Dou, J Lu, Z Wang, X Xiao, J Bi, CH Huang 2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems …, 2018 | 23 | 2018 |
| 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 | 22 | 2020 |
| On-device indoor positioning: A federated reinforcement learning approach with heterogeneous devices F Dou, J Lu, T Zhu, J Bi IEEE Internet of Things Journal, 2023 | 11 | 2023 |
| Edge attention-based multi-relational graph convolutional networks. arXiv e-prints C Shang, Q Liu, KS Chen, J Sun, J Lu, J Yi arXiv preprint arXiv:1802.04944, 2018 | 8 | 2018 |
| Decode-and-compare: an efficient verification scheme for coded distributed edge computing J Wang, Z Lu, M Fu, J Wang, K Lu, A Jukan IEEE Transactions on Cloud Computing 11 (3), 2784-2802, 2022 | 4 | 2022 |
Jiangwen SunDepartment of Computer Science, College of Science, Old Dominion UniversityVerified email at odu.edu
