Ruixuan Liu
Orcid: 0000-0002-0823-3760
According to our database1,
Ruixuan Liu
authored at least 46 papers
between 2019 and 2024.
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Bibliography
2024
IEEE Robotics Autom. Lett., November, 2024
Decomposition-Based Hierarchical Task Allocation and Planning for Multi-Robots Under Hierarchical Temporal Logic Specifications.
IEEE Robotics Autom. Lett., August, 2024
Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts.
CoRR, 2024
CoRR, 2024
Scaling Up Natural Language Understanding for Multi-Robots Through the Lens of Hierarchy.
CoRR, 2024
DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning.
CoRR, 2024
Clip Body and Tail Separately: High Probability Guarantees for DPSGD with Heavy Tails.
CoRR, 2024
KoReA-SFL: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting.
CoRR, 2024
CoRR, 2024
Real-Time Safety Index Adaptation for Parameter-Varying Systems via Determinant Gradient Ascend.
Proceedings of the American Control Conference, 2024
2023
J. Comput. Sci. Technol., December, 2023
IEEE Trans. Knowl. Data Eng., 2023
PCDP-SGD: Improving the Convergence of Differentially Private SGD via Projection in Advance.
CoRR, 2023
AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems.
CoRR, 2023
On the accuracy and efficiency of group-wise clipping in differentially private optimization.
CoRR, 2023
CoRR, 2023
Proceedings of the 5th IEEE International Conference on Trust, 2023
PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Zero-Shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023
2022
Frontiers Comput. Sci., 2022
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation.
CoRR, 2022
A hybrid BCI system combining motor imagery and conceptual imagery in a smart home environment.
Proceedings of the IEEE International Conference on Trust, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Simulation research on grid cell discharge characteristics based on feedforward neural network.
Proceedings of the CAIBDA 2022, 2022
Jerk-bounded Position Controller with Real-Time Task Modification for Interactive Industrial Robots.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022
2021
Human Motion Prediction Using Adaptable Recurrent Neural Networks and Inverse Kinematics.
IEEE Control. Syst. Lett., 2021
CoRR, 2021
IADA: Iterative Adversarial Data Augmentation Using Formal Verification and Expert Guidance.
CoRR, 2021
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
A Pufferfish privacy mechanism for monitoring web browsing behavior under temporal correlations.
Comput. Secur., 2020
FedSel: Federated SGD Under Local Differential Privacy with Top-k Dimension Selection.
Proceedings of the Database Systems for Advanced Applications, 2020
2019
Proceedings of the International Symposium on Quality of Service, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019