Ruixuan Liu

According to our database, Ruixuan Liu authored at least 38 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Real-time Safety Index Adaptation for Parameter-varying Systems via Determinant Gradient Ascend.

Rui Chen, Weiye Zhao, Ruixuan Liu, Weiyang Zhang, Changliu Liu

CoRR, 2024

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

Ruixuan Liu, Tianhao Wang, Yang Cao, Li Xiong

CoRR, 2024

StableLego: Stability Analysis of Block Stacking Assembly.

Ruixuan Liu, Kangle Deng, Ziwei Wang, Changliu Liu

CoRR, 2024

2023

Hadamard Encoding Based Frequent Itemset Mining under Local Differential Privacy.

Dan Zhao, Suyun Zhao, Hong Chen, Ruixuan Liu, Cui-Ping Li, Xiaoying Zhang

J. Comput. Sci. Technol., December, 2023

LuxGeo: Efficient and Security-Enhanced Geometric Range Queries.

Ruoyang Guo, Bo Qin, Yuncheng Wu, Ruixuan Liu, Hong Chen, Cuiping Li

IEEE Trans. Knowl. Data Eng., 2023

PCDP-SGD: Improving the Convergence of Differentially Private SGD via Projection in Advance.

Haichao Sha, Ruixuan Liu, Yixuan Liu, Hong Chen

CoRR, 2023

AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems.

Ruixuan Liu, Ming Hu, Zeke Xia, Jun Xia, Pengyu Zhang, Yihao Huang, Yang Liu, Mingsong Chen

CoRR, 2023

Zero redundancy distributed learning with differential privacy.

Zhiqi Bu, Justin Chiu, Ruixuan Liu, Sheng Zha, George Karypis

CoRR, 2023

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

Zhiqi Bu, Ruixuan Liu, Yu-Xiang Wang, Sheng Zha, George Karypis

CoRR, 2023

Coupling public and private gradient provably helps optimization.

Ruixuan Liu, Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis

CoRR, 2023

Simulation-aided Learning from Demonstration for Robotic LEGO Construction.

Ruixuan Liu, Alan Chen, Xusheng Luo, Changliu Liu

CoRR, 2023

A Lightweight and Transferable Design for Robust LEGO Manipulation.

Ruixuan Liu, Yifan Sun, Changliu Liu

CoRR, 2023

Robotic Planning under Hierarchical Temporal Logic Specifications.

Xusheng Luo, Shaojun Xu, Ruixuan Liu, Changliu Liu

CoRR, 2023

Robotic LEGO Assembly and Disassembly from Human Demonstration.

Ruixuan Liu, Yifan Sun, Changliu Liu

CoRR, 2023

GUARD: A Safe Reinforcement Learning Benchmark.

Weiye Zhao, Rui Chen, Yifan Sun, Ruixuan Liu, Tianhao Wei, Changliu Liu

CoRR, 2023

Supporting Pandemic Preparedness with Privacy Enhancing Technology.

Ruixuan Liu, Sepanta Zeighami, Haowen Lin, Cyrus Shahabi, Yang Cao, Shun Takagi, Yoko Konishi, Masatoshi Yoshikawa, Li Xiong

Proceedings of the 5th IEEE International Conference on Trust, 2023

PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation.

Ruixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen

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.

Tianhao Wei, Shucheng Kang, Ruixuan Liu, Changliu Liu

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control.

Ruixuan Liu, Rui Chen, Abulikemu Abuduweili, Changliu Liu

Proceedings of the IEEE Conference on Control Technology and Applications, 2023

2022

Efficient protocols for heavy hitter identification with local differential privacy.

Dan Zhao, Suyun Zhao, Hong Chen, Ruixuan Liu, Cuiping Li, Wenjuan Liang

Frontiers Comput. Sci., 2022

Task-Agnostic Adaptation for Safe Human-Robot Handover.

Ruixuan Liu, Rui Chen, Changliu Liu

CoRR, 2022

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

Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie

CoRR, 2022

Safe Interactive Industrial Robots using Jerk-based Safe Set Algorithm.

Ruixuan Liu, Rui Chen, Changliu Liu

CoRR, 2022

FLDP: Flexible strategy for local differential privacy.

Dan Zhao, Suyun Zhao, Ruixuan Liu, Cuiping Li, Wenjuan Liang, Hong Chen

CoRR, 2022

A hybrid BCI system combining motor imagery and conceptual imagery in a smart home environment.

Ruixuan Liu, Muyang Lyu, Jiangrong Yang

Proceedings of the IEEE International Conference on Trust, 2022

No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices.

Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie

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.

Dan Zhao, Hong Chen, Suyun Zhao, Ruixuan Liu, Cuiping Li, Xiaoying Zhang

Proceedings of the IEEE International Conference on Acoustics, 2022

Simulation research on grid cell discharge characteristics based on feedforward neural network.

Jiangrong Yang, Muyang Lyu, Ruixuan Liu

Proceedings of the CAIBDA 2022, 2022

Jerk-bounded Position Controller with Real-Time Task Modification for Interactive Industrial Robots.

Ruixuan Liu, Rui Chen, Yifan Sun, Yu Zhao, Changliu Liu

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022

2021

Human Motion Prediction Using Adaptable Recurrent Neural Networks and Inverse Kinematics.

Ruixuan Liu, Changliu Liu

IEEE Control. Syst. Lett., 2021

FedKD: Communication Efficient Federated Learning via Knowledge Distillation.

Chuhan Wu, Fangzhao Wu, Ruixuan Liu, Lingjuan Lyu, Yongfeng Huang, Xing Xie

CoRR, 2021

IADA: Iterative Adversarial Data Augmentation Using Formal Verification and Expert Guidance.

Ruixuan Liu, Changliu Liu

CoRR, 2021

Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation.

Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

FLAME: Differentially Private Federated Learning in the Shuffle Model.

Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Pufferfish privacy mechanism for monitoring web browsing behavior under temporal correlations.

Wenjuan Liang, Hong Chen, Ruixuan Liu, Yuncheng Wu, Cuiping Li

Comput. Secur., 2020

FedSel: Federated SGD Under Local Differential Privacy with Top-k Dimension Selection.

Ruixuan Liu, Yang Cao, Masatoshi Yoshikawa, Hong Chen

Proceedings of the Database Systems for Advanced Applications, 2020

2019

MixGeo: efficient secure range queries on encrypted dense spatial data in the cloud.

Ruoyang Guo, Bo Qin, Yuncheng Wu, Ruixuan Liu, Hong Chen, Cuiping Li

Proceedings of the International Symposium on Quality of Service, 2019

Local Differential Privacy with K-anonymous for Frequency Estimation.

Dan Zhao, Hong Chen, Suyun Zhao, Xiaoying Zhang, Cuiping Li, Ruixuan Liu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019