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Shichao Xu
Shichao Xu
Computer Science Department, Northwestern University, USA
Verified email at u.northwestern.edu
Title
Cited by
Cited by
Year
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
2392020
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
1152022
Eavesdrop the composition proportion of training labels in federated learning
L Wang, S Xu, X Wang, Q Zhu
arXiv preprint arXiv:1910.06044, 2019
682019
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
672020
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
34*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
282020
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
242021
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
17*2022
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
17*2021
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
162021
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
132021
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
112023
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
7*
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
62021
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
62020
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
32021
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
22020
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection
L Wang, S Xu, X Du, Q Zhu
arXiv preprint arXiv:2401.11271, 2024
12024
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
12022
Learning from Limited and Imperfect Data in Cyber-Physical System
S Xu
Northwestern University, 2023
2023
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