Ruixuan Liu

Orcid: 0000-0002-0823-3760

According to our database1, Ruixuan Liu authored at least 46 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
StableLego: Stability Analysis of Block Stacking Assembly.
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

GUARD: A Safe Reinforcement Learning Benchmark.
Trans. Mach. Learn. Res., 2024

Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts.
CoRR, 2024

Physics-Aware Combinatorial Assembly Planning using Deep Reinforcement Learning.
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

PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps.
CoRR, 2024

Real-Time Safety Index Adaptation for Parameter-Varying Systems via Determinant Gradient Ascend.
Proceedings of the American Control Conference, 2024

2023
Hadamard Encoding Based Frequent Itemset Mining under Local Differential Privacy.
J. Comput. Sci. Technol., December, 2023

LuxGeo: Efficient and Security-Enhanced Geometric Range Queries.
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

Zero redundancy distributed learning with differential privacy.
CoRR, 2023

On the accuracy and efficiency of group-wise clipping in differentially private optimization.
CoRR, 2023

Coupling public and private gradient provably helps optimization.
CoRR, 2023

Simulation-aided Learning from Demonstration for Robotic LEGO Construction.
CoRR, 2023

A Lightweight and Transferable Design for Robust LEGO Manipulation.
CoRR, 2023

Robotic Planning under Hierarchical Temporal Logic Specifications.
CoRR, 2023

Robotic LEGO Assembly and Disassembly from Human Demonstration.
CoRR, 2023

GUARD: A Safe Reinforcement Learning Benchmark.
CoRR, 2023

Supporting Pandemic Preparedness with Privacy Enhancing Technology.
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
Efficient protocols for heavy hitter identification with local differential privacy.
Frontiers Comput. Sci., 2022

Task-Agnostic Adaptation for Safe Human-Robot Handover.
CoRR, 2022

PrivateRec: Differentially Private Training and Serving for Federated News Recommendation.
CoRR, 2022

Safe Interactive Industrial Robots using Jerk-based Safe Set Algorithm.
CoRR, 2022

FLDP: Flexible strategy for local differential privacy.
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

No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Fldp: Flexible Strategy For Local Differential Privacy.
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

FedKD: Communication Efficient Federated Learning via Knowledge Distillation.
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

FLAME: Differentially Private Federated Learning in the Shuffle Model.
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
MixGeo: efficient secure range queries on encrypted dense spatial data in the cloud.
Proceedings of the International Symposium on Quality of Service, 2019

Local Differential Privacy with K-anonymous for Frequency Estimation.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019


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