Ruixuan Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 50

Top Topics

Differentially Private

Industrial Robots

Differential Privacy

Top Venues

IEEE Robotics Autom. Lett.

IEEE Control. Syst. Lett.

Publications

Xusheng Luo, Shaojun Xu, Ruixuan Liu, Changliu Liu
Decomposition-Based Hierarchical Task Allocation and Planning for Multi-Robots Under Hierarchical Temporal Logic Specifications. IEEE Robotics Autom. Lett. 9 (8) (2024)
Haichao Sha, Yang Cao, Yong Liu, Yuncheng Wu, Ruixuan Liu, Hong Chen
Clip Body and Tail Separately: High Probability Guarantees for DPSGD with Heavy Tails. CoRR (2024)
Ruixuan Liu, Kangle Deng, Ziwei Wang, Changliu Liu
StableLego: Stability Analysis of Block Stacking Assembly. CoRR (2024)
Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Ruixuan Liu, Tianhao Wei, Changliu Liu
GUARD: A Safe Reinforcement Learning Benchmark. Trans. Mach. Learn. Res. 2024 (2024)
Zeke Xia, Ming Hu, Dengke Yan, Ruixuan Liu, Anran Li, Xiaofei Xie, Mingsong Chen
KoReA-SFL: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting. CoRR (2024)
Ruixuan Liu, Tianhao Wang, Yang Cao, Li Xiong
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps. CoRR (2024)
Yixuan Liu, Li Xiong, Yuhan Liu, Yujie Gu, Ruixuan Liu, Hong Chen
DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning. CoRR (2024)
Rui Chen, Weiye Zhao, Ruixuan Liu, Weiyang Zhang, Changliu Liu
Real-time Safety Index Adaptation for Parameter-varying Systems via Determinant Gradient Ascend. CoRR (2024)
Tianhao Wei, Shucheng Kang, Ruixuan Liu, Changliu Liu
Zero-Shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction. CDC (2023)
Xusheng Luo, Shaojun Xu, Ruixuan Liu, Changliu Liu
Robotic Planning under Hierarchical Temporal Logic Specifications. CoRR (2023)
Zhiqi Bu, Justin Chiu, Ruixuan Liu, Sheng Zha, George Karypis
Zero redundancy distributed learning with differential privacy. CoRR (2023)
Tianhao Wei, Shucheng Kang, Ruixuan Liu, Changliu Liu
Zero-shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction. CoRR (2023)
Weiye Zhao, Rui Chen, Yifan Sun, Ruixuan Liu, Tianhao Wei, Changliu Liu
GUARD: A Safe Reinforcement Learning Benchmark. CoRR (2023)
Ruixuan Liu, Ming Hu, Zeke Xia, Jun Xia, Pengyu Zhang, Yihao Huang, Yang Liu, Mingsong Chen
AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems. CoRR (2023)
Dan Zhao, Suyun Zhao, Hong Chen, Ruixuan Liu, Cui-Ping Li, Xiaoying Zhang
Hadamard Encoding Based Frequent Itemset Mining under Local Differential Privacy. J. Comput. Sci. Technol. 38 (6) (2023)
Zhiqi Bu, Ruixuan Liu, Yu-Xiang Wang, Sheng Zha, George Karypis
On the accuracy and efficiency of group-wise clipping in differentially private optimization. CoRR (2023)
Ruixuan Liu, Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis
Coupling public and private gradient provably helps optimization. CoRR (2023)
Ruixuan Liu, Rui Chen, Abulikemu Abuduweili, Changliu Liu
Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control. CCTA (2023)
Ruixuan Liu, Yifan Sun, Changliu Liu
Robotic LEGO Assembly and Disassembly from Human Demonstration. CoRR (2023)
Ruixuan Liu, Sepanta Zeighami, Haowen Lin, Cyrus Shahabi, Yang Cao, Shun Takagi, Yoko Konishi, Masatoshi Yoshikawa, Li Xiong
Supporting Pandemic Preparedness with Privacy Enhancing Technology. TPS-ISA (2023)
Ruixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen
PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation. KDD (2023)
Ruixuan Liu, Alan Chen, Xusheng Luo, Changliu Liu
Simulation-aided Learning from Demonstration for Robotic LEGO Construction. CoRR (2023)
Ruoyang Guo, Bo Qin, Yuncheng Wu, Ruixuan Liu, Hong Chen, Cuiping Li
LuxGeo: Efficient and Security-Enhanced Geometric Range Queries. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Ruixuan Liu, Yifan Sun, Changliu Liu
A Lightweight and Transferable Design for Robust LEGO Manipulation. CoRR (2023)
Ruixuan Liu, Rui Chen, Abulikemu Abuduweili, Changliu Liu
Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control. CoRR (2023)
Haichao Sha, Ruixuan Liu, Yixuan Liu, Hong Chen
PCDP-SGD: Improving the Convergence of Differentially Private SGD via Projection in Advance. CoRR (2023)
Ruixuan Liu, Rui Chen, Yifan Sun, Yu Zhao, Changliu Liu
Jerk-bounded Position Controller with Real-Time Task Modification for Interactive Industrial Robots. AIM (2022)
Ruixuan Liu, Muyang Lyu, Jiangrong Yang
A hybrid BCI system combining motor imagery and conceptual imagery in a smart home environment. TrustCom (2022)
Jiangrong Yang, Muyang Lyu, Ruixuan Liu
Simulation research on grid cell discharge characteristics based on feedforward neural network. CAIBDA (2022)
Ruixuan Liu, Rui Chen, Changliu Liu
Task-Agnostic Adaptation for Safe Human-Robot Handover. CoRR (2022)
Ruixuan Liu, Rui Chen, Changliu Liu
Safe Interactive Industrial Robots using Jerk-based Safe Set Algorithm. CoRR (2022)
Dan Zhao, Hong Chen, Suyun Zhao, Ruixuan Liu, Cuiping Li, Xiaoying Zhang
Fldp: Flexible Strategy For Local Differential Privacy. ICASSP (2022)
Dan Zhao, Suyun Zhao, Hong Chen, Ruixuan Liu, Cuiping Li, Wenjuan Liang
Efficient protocols for heavy hitter identification with local differential privacy. Frontiers Comput. Sci. 16 (5) (2022)
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. CoRR (2022)
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. KDD (2022)
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. CoRR (2022)
Dan Zhao, Suyun Zhao, Ruixuan Liu, Cuiping Li, Wenjuan Liang, Hong Chen
FLDP: Flexible strategy for local differential privacy. CoRR (2022)
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. EMNLP (1) (2021)
Ruixuan Liu, Changliu Liu
Human Motion Prediction Using Adaptable Recurrent Neural Networks and Inverse Kinematics. IEEE Control. Syst. Lett. 5 (5) (2021)
Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. CoRR (2021)
Chuhan Wu, Fangzhao Wu, Ruixuan Liu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
FedKD: Communication Efficient Federated Learning via Knowledge Distillation. CoRR (2021)
Ruixuan Liu, Changliu Liu
Human Motion Prediction Using Adaptable Recurrent Neural Networks and Inverse Kinematics. ACC (2021)
Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa
FLAME: Differentially Private Federated Learning in the Shuffle Model. AAAI (2021)
Ruixuan Liu, Changliu Liu
IADA: Iterative Adversarial Data Augmentation Using Formal Verification and Expert Guidance. CoRR (2021)
Ruixuan Liu, Yang Cao, Masatoshi Yoshikawa, Hong Chen
FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension Selection. CoRR (2020)
Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa
FLAME: Differentially Private Federated Learning in the Shuffle Model. CoRR (2020)
Wenjuan Liang, Hong Chen, Ruixuan Liu, Yuncheng Wu, Cuiping Li
A Pufferfish privacy mechanism for monitoring web browsing behavior under temporal correlations. Comput. Secur. 92 (2020)
Ruixuan Liu, Yang Cao, Masatoshi Yoshikawa, Hong Chen
FedSel: Federated SGD Under Local Differential Privacy with Top-k Dimension Selection. DASFAA (1) (2020)
Ruoyang Guo, Bo Qin, Yuncheng Wu, Ruixuan Liu, Hong Chen, Cuiping Li
MixGeo: efficient secure range queries on encrypted dense spatial data in the cloud. IWQoS (2019)
Dan Zhao, Hong Chen, Suyun Zhao, Xiaoying Zhang, Cuiping Li, Ruixuan Liu
Local Differential Privacy with K-anonymous for Frequency Estimation. IEEE BigData (2019)