| Addressing Class Imbalance in Federated Learning L Wang, S Xu, X Wang, Q Zhu Proceedings of the AAAI Conference on Artificial Intelligence 2021 (AAAI) 35, 2020 | 218 | 2020 |
| Federated class-incremental learning J Dong, L Wang, Z Fang, G Sun, S Xu, X Wang, Q Zhu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 94 | 2022 |
| Eavesdrop the composition proportion of training labels in federated learning L Wang, S Xu, X Wang, Q Zhu arXiv preprint arXiv:1910.06044, 2019 | 67 | 2019 |
| One for many: Transfer learning for building hvac control S Xu, Y Wang, Y Wang, Z O'Neill, Q Zhu Proceedings of the 7th ACM international conference on systems for energy …, 2020 | 63 | 2020 |
| Non-Transferable Learning: A New Approach for Model Verification and Authorization L Wang*, S Xu*, R Xu, X Wang, Q Zhu Tenth International Conference on Learning Representations (ICLR 2022), 2021 | 30* | 2021 |
| Opportunistic Intermittent Control with Safety Guarantees for Autonomous Systems C Huang, S Xu, Z Wang, S Lan, W Li, Q Zhu 2020 57th ACM/IEEE Design Automation Conference (DAC), 2020 | 27 | 2020 |
| Safety-assured design and adaptation of learning-enabled autonomous systems Q Zhu, C Huang, R Jiao, S Lan, H Liang, X Liu, Y Wang, Z Wang, S Xu Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021 | 24 | 2021 |
| Open Vocabulary Multi-Label Classification with Dual-Modal Decoder on Aligned Visual-Textual Features S Xu, Y Li, J Hsiao, C Ho, Z Qi arXiv preprint:2208.09562, 2022 | 16* | 2022 |
| Weak Adaptation Learning--Addressing Cross-domain Data Insufficiency with Weak Annotator S Xu*, L Wang*, Y Wang, Q Zhu International Conference on Computer Vision 2021 (ICCV), 2021 | 16 | 2021 |
| Learning-based framework for sensor fault-tolerant building HVAC control with model-assisted learning S Xu, Y Fu, Y Wang, Z O'Neill, Q Zhu Proceedings of the 8th ACM International Conference on Systems for Energy …, 2021 | 14* | 2021 |
| Cocktail: Learn a Better Neural Network Controller from Multiple Experts via Adaptive Mixing and Robust Distillation Y Wang, C Huang, Z Wang, S Xu, Z Wang, Q Zhu 2021 58th ACM/IEEE Design Automation Conference (DAC), 2021 | 12 | 2021 |
| How good are learning-based control vs model-based control for load shifting? Investigations on a single zone building energy system Y Fu, S Xu, Q Zhu, Z O’Neill, V Adetola Energy 273, 127073, 2023 | 11 | 2023 |
| Containerized framework for building control performance comparisons: Model predictive control vs deep reinforcement learning control Y Fu, S Xu, Q Zhu, Z O'Neill Proceedings of the 8th ACM International Conference on Systems for Energy …, 2021 | 6 | 2021 |
| Maskplus: Improving mask generation for instance segmentation S Xu, S Lan, Z Qi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 6 | 2020 |
| Accelerate Online Reinforcement Learning for Building HVAC Control with Heterogeneous Expert Guidances S Xu, Y Fu, Y Wang, Z Yang, Z O'Neill, Z Wang, Q Zhu | 6* | |
| Adaptive learning based building load prediction for microgrid economic dispatch R Masburah, RL Jana, A Khan, S Xu, S Lan, S Dey, Q Zhu 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 72-75, 2021 | 3 | 2021 |
| One for many S Xu, Y Wang, Y Wang, Z O’Neill, Q Zhu Proceedings of the 7th ACM International Conference on Systems for Energy …, 2020 | 2 | 2020 |
| DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection L Wang, S Xu, X Du, Q Zhu arXiv preprint arXiv:2401.11271, 2024 | 1 | 2024 |
| Comparison Study Of High-performance Rule-based HVAC Control With Deep Reinforcement Learning-based Control In A Multi-zone VAV System X Lu, Y Fu, S Xu, Q Zhu, Z O’Neill, Z Yang | 1 | 2022 |
| Learning from Limited and Imperfect Data in Cyber-Physical System S Xu Northwestern University, 2023 | | 2023 |
Qi ZhuAssociate Professor of Computer EngineeringVerified email at northwestern.edu
