| A review on electric vehicles interacting with renewable energy in smart grid L Liu, F Kong, X Liu, Y Peng, Q Wang Renewable and Sustainable Energy Reviews 51, 648-661, 2015 | 341 | 2015 |
| Smart charging for electric vehicles: A survey from the algorithmic perspective Q Wang, X Liu, J Du, F Kong IEEE Communications Surveys & Tutorials 18 (2), 1500-1517, 2016 | 277 | 2016 |
| Adversary resistant deep neural networks with an application to malware detection Q Wang, W Guo, K Zhang, AG Ororbia, X Xing, X Liu, CL Giles Proceedings of the 23rd ACM sigkdd international conference on knowledge …, 2017 | 199 | 2017 |
| Point-of-interest recommendation: Exploiting self-attentive autoencoders with neighbor-aware influence C Ma, Y Zhang, Q Wang, X Liu Proceedings of the 27th ACM international conference on information and …, 2018 | 143 | 2018 |
| I know what you did on your smartphone: Inferring app usage over encrypted data traffic Q Wang, A Yahyavi, B Kemme, W He 2015 IEEE conference on communications and network security (CNS), 433-441, 2015 | 126 | 2015 |
| Gated attentive-autoencoder for content-aware recommendation C Ma, P Kang, B Wu, Q Wang, X Liu Proceedings of the twelfth ACM international conference on web search and …, 2019 | 70 | 2019 |
| An empirical evaluation of rule extraction from recurrent neural networks Q Wang, K Zhang, AG Ororbia II, X Xing, X Liu, CL Giles Neural computation 30 (9), 2568-2591, 2018 | 64 | 2018 |
| Learning adversary-resistant deep neural networks Q Wang, W Guo, K Zhang, AG Ororbia II, X Xing, X Liu, CL Giles arXiv preprint arXiv:1612.01401, 2016 | 60 | 2016 |
| Smart rate control and demand balancing for electric vehicle charging F Kong, X Liu, Z Sun, Q Wang 2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS …, 2016 | 35 | 2016 |
| Verification of recurrent neural networks through rule extraction Q Wang, K Zhang, X Liu, CL Giles arXiv preprint arXiv:1811.06029, 2018 | 21 | 2018 |
| A comparison of rule extraction for different recurrent neural network models and grammatical complexity Q Wang, K Zhang, I Ororbia, G Alexander, X Xing, X Liu, CL Giles arXiv preprint arXiv:1801.05420, 2018 | 19 | 2018 |
| Drone privacy shield: A WiFi based defense A Sun, W Gong, R Shea, J Liu, X Liu, Q Wang 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and …, 2017 | 17 | 2017 |
| Random feature nullification for adversary resistant deep architecture Q Wang, W Guo, K Zhang, X Xing, CL Giles, X Liu arXiv preprint arXiv:1610.01239, 2016 | 16 | 2016 |
| Defending against adversarial samples without security through obscurity W Guo, Q Wang, K Zhang, AG Ororbia, S Huang, X Liu, CL Giles, L Lin, ... 2018 IEEE International Conference on Data Mining (ICDM), 137-146, 2018 | 14 | 2018 |
| An empirical evaluation of recurrent neural network rule extraction Q Wang, K Zhang, II Ororbia, G Alexander, X Xing, X Liu, CL Giles arXiv preprint arXiv:1709.10380, 2017 | 13 | 2017 |
| Using non-invertible data transformations to build adversary-resistant deep neural networks Q Wang, W Guo, II Ororbia, G Alexander, X Xing, L Lin, CL Giles, X Liu, ... arXiv preprint arXiv:1610.01934, 2016 | 12 | 2016 |
| Using non-invertible data transformations to build adversarial-robust neural networks Q Wang, W Guo, AG Ororbia II, X Xing, L Lin, CL Giles, X Liu, P Liu, ... arXiv preprint arXiv:1610.01934, 2016 | 7 | 2016 |
| Shapley homology: topological analysis of sample influence for neural networks K Zhang, Q Wang, X Liu, CL Giles Neural computation 32 (7), 1355-1378, 2020 | 5 | 2020 |
| A comparative study of rule extraction for recurrent neural networks Q Wang, K Zhang, AG Ororbia II, X Xing, X Liu, CL Giles arXiv preprint arXiv:1801.05420, 2018 | 5 | 2018 |
| Energy spatio-temporal pattern prediction for electric vehicle networks Q Wang arXiv preprint arXiv:1802.04931, 2018 | 4 | 2018 |
