| Gosense: Efficient vehicle selection for user defined vehicular crowdsensing TY Yu, X Zhu, H Chen 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 1-5, 2017 | 19 | 2017 |
| A programming language and system for heterogeneous cloud of things R Wenger, X Zhu, J Krishnamurthy, M Maheswaran 2016 IEEE 2nd International Conference on Collaboration and Internet …, 2016 | 17 | 2016 |
| ULTRA: A reinforcement learning generalization benchmark for autonomous driving M Elsayed, K Hassanzadeh, NM Nguyen, M Alban, X Zhu, D Graves, ... Proceedings of the 34th International Conference on Neural Information …, 2020 | 9 | 2020 |
| HetCast: Cooperative data delivery on cellular and road side network TY Yu, X Zhu, H Chen, M Maheswaran 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and …, 2017 | 9 | 2017 |
| Large scale active vehicular crowdsensing X Zhu, SA Samadh, TY Yu 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-5, 2018 | 8 | 2018 |
| Vehicular crowdsensing for smart cities TY Yu, X Zhu, M Maheswaran Handbook of Smart Cities: Software Services and Cyber Infrastructure, 175-204, 2018 | 5 | 2018 |
| Detecting GAN generated errors X Zhu, F Che, T Yang, T Yu, D Meger, G Dudek arXiv preprint arXiv:1912.00527, 2019 | 3 | 2019 |
| Push vs pull participant recruitment system for personalized vehicular crowdsensing TY Yu, X Zhu, M Maheswaran 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 2 | 2019 |
| 3SGAN: 3D shape embedded generative adversarial networks F Che, X Zhu, T Yang, T Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 2 | 2019 |
| Bayesian Q-learning from Imperfect Expert Demonstrations F Che McGill University (Canada), 2021 | 1 | 2021 |
| Hetcast: Centralized scheduling for vehicular data uplink and downlink X Zhu McGill University (Canada), 2019 | | 2019 |
