Local Differential Privacy with K-anonymous for Frequency Estimation. - Dan Zhao 009; Hong Chen 001; Suyun Zhao; Xiaoying Zhang; Cuiping Li 001; Ruixuan Liu (IEEE BigData, 2019)

MixGeo: efficient secure range queries on encrypted dense spatial data in the cloud. - Ruoyang Guo; Bo Qin; Yuncheng Wu; Ruixuan Liu; Hong Chen 001; Cuiping Li 001 (IWQoS, 2019)

FedSel: Federated SGD Under Local Differential Privacy with Top-k Dimension Selection. - Ruixuan Liu; Yang Cao 011; Masatoshi Yoshikawa; Hong Chen 001 (DASFAA (1), 2020)

A Pufferfish privacy mechanism for monitoring web browsing behavior under temporal correlations. - Wenjuan Liang; Hong Chen 001; Ruixuan Liu; Yuncheng Wu; Cuiping Li 001 (Comput. Secur., 2020)

FLAME: Differentially Private Federated Learning in the Shuffle Model. - Ruixuan Liu; Yang Cao 011; Hong Chen 001; Ruoyang Guo; Masatoshi Yoshikawa (AAAI, 2021)

Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. - Jingwei Yi; Fangzhao Wu; Chuhan Wu; Ruixuan Liu; Guangzhong Sun; Xing Xie 001 (EMNLP (1), 2021)

IADA: Iterative Adversarial Data Augmentation Using Formal Verification and Expert Guidance. - Ruixuan Liu; Changliu Liu (CoRR, 2021)

FedKD: Communication Efficient Federated Learning via Knowledge Distillation. - Chuhan Wu; Fangzhao Wu; Ruixuan Liu; Lingjuan Lyu; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2021)

Human Motion Prediction Using Adaptable Recurrent Neural Networks and Inverse Kinematics. - Ruixuan Liu; Changliu Liu (IEEE Control. Syst. Lett., 2021)

Jerk-bounded Position Controller with Real-Time Task Modification for Interactive Industrial Robots. - Ruixuan Liu; Rui Chen 030; Yifan Sun 011; Yu Zhao; Changliu Liu (AIM, 2022)

Simulation research on grid cell discharge characteristics based on feedforward neural network. - Jiangrong Yang; Muyang Lyu; Ruixuan Liu (CAIBDA, 2022)

Fldp: Flexible Strategy For Local Differential Privacy. - Dan Zhao 009; Hong Chen 001; Suyun Zhao; Ruixuan Liu; Cuiping Li 001; Xiaoying Zhang (ICASSP, 2022)

No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. - Ruixuan Liu; Fangzhao Wu; Chuhan Wu; Yanlin Wang 001; Lingjuan Lyu; Hong Chen 001; Xing Xie 001 (KDD, 2022)

A hybrid BCI system combining motor imagery and conceptual imagery in a smart home environment. - Ruixuan Liu; Muyang Lyu; Jiangrong Yang (TrustCom, 2022)

FLDP: Flexible strategy for local differential privacy. - Dan Zhao 009; Suyun Zhao; Ruixuan Liu; Cuiping Li 001; Wenjuan Liang; Hong Chen 001 (CoRR, 2022)

Safe Interactive Industrial Robots using Jerk-based Safe Set Algorithm. - Ruixuan Liu; Rui Chen 030; Changliu Liu (CoRR, 2022)

PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. - Ruixuan Liu; Fangzhao Wu; Chuhan Wu; Yanlin Wang 001; Yang Cao 011; Lingjuan Lyu; Weike Pan; Yun Chen 007; Hong Chen 001; Xing Xie 001 (CoRR, 2022)

Task-Agnostic Adaptation for Safe Human-Robot Handover. - Ruixuan Liu; Rui Chen 030; Changliu Liu (CoRR, 2022)

Efficient protocols for heavy hitter identification with local differential privacy. - Dan Zhao 009; Suyun Zhao; Hong Chen 001; Ruixuan Liu; Cuiping Li 001; Wenjuan Liang (Frontiers Comput. Sci., 2022)

Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control. - Ruixuan Liu; Rui Chen 030; Abulikemu Abuduweili; Changliu Liu (CCTA, 2023)

Zero-Shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction. - Tianhao Wei; Shucheng Kang; Ruixuan Liu; Changliu Liu (CDC, 2023)

PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation. - Ruixuan Liu; Yang Cao 011; Yanlin Wang 001; Lingjuan Lyu; Yun Chen 007; Hong Chen 001 (KDD, 2023)

Supporting Pandemic Preparedness with Privacy Enhancing Technology. - Ruixuan Liu; Sepanta Zeighami; Haowen Lin; Cyrus Shahabi; Yang Cao 011; Shun Takagi; Yoko Konishi; Masatoshi Yoshikawa; Li Xiong 001 (TPS-ISA, 2023)

GUARD: A Safe Reinforcement Learning Benchmark. - Weiye Zhao; Rui Chen 030; Yifan Sun 011; Ruixuan Liu; Tianhao Wei; Changliu Liu (CoRR, 2023)

Robotic LEGO Assembly and Disassembly from Human Demonstration. - Ruixuan Liu; Yifan Sun 011; Changliu Liu (CoRR, 2023)

Robotic Planning under Hierarchical Temporal Logic Specifications. - Xusheng Luo; Shaojun Xu; Ruixuan Liu; Changliu Liu (CoRR, 2023)

A Lightweight and Transferable Design for Robust LEGO Manipulation. - Ruixuan Liu; Yifan Sun 011; Changliu Liu (CoRR, 2023)

Simulation-aided Learning from Demonstration for Robotic LEGO Construction. - Ruixuan Liu; Alan Chen 007; Xusheng Luo; Changliu Liu (CoRR, 2023)

Coupling public and private gradient provably helps optimization. - Ruixuan Liu; Zhiqi Bu; Yu-Xiang Wang 003; 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 003; Sheng Zha; George Karypis (CoRR, 2023)

Zero redundancy distributed learning with differential privacy. - Zhiqi Bu; Justin Chiu; Ruixuan Liu; Sheng Zha; George Karypis (CoRR, 2023)

AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems. - Ruixuan Liu; Ming Hu 003; Zeke Xia; Jun Xia 003; Pengyu Zhang; Yihao Huang 001; Yang Liu 003; Mingsong Chen 001 (CoRR, 2023)

LuxGeo: Efficient and Security-Enhanced Geometric Range Queries. - Ruoyang Guo; Bo Qin; Yuncheng Wu; Ruixuan Liu; Hong Chen 001; Cuiping Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

Hadamard Encoding Based Frequent Itemset Mining under Local Differential Privacy. - Dan Zhao 009; Suyun Zhao; Hong Chen 001; Ruixuan Liu; Cui-Ping Li 001; Xiaoying Zhang (J. Comput. Sci. Technol., 2023)

Real-Time Safety Index Adaptation for Parameter-Varying Systems via Determinant Gradient Ascend. - Rui Chen 030; Weiye Zhao; Ruixuan Liu; Weiyang Zhang; Changliu Liu (ACC, 2024)

PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps. - Ruixuan Liu; Tianhao Wang 001; Yang Cao 011; Li Xiong 001 (CCS, 2024)

Monitoring of Winter Wheat Leaf Age Based on Remote Sensing and ECMWF Reanalysis Data. - Yuhe Gao; Fangzhao Zhang; Ruixuan Liu; Jibo Zhang; Zixun Liu; Zhenhai Li (DTPI, 2024)

Patient-Centered and Practical Privacy to Support AI for Healthcare. - Ruixuan Liu; Hong-Kyu Lee; Sivasubramanium V. Bhavani; Xiaoqian Jiang; Lucila Ohno-Machado; Li Xiong 001 (TPS-ISA, 2024)

KoReA-SFL: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting. - Zeke Xia; Ming Hu 003; Dengke Yan; Ruixuan Liu; Anran Li 001; Xiaofei Xie; Mingsong Chen 001 (CoRR, 2024)

Clip Body and Tail Separately: High Probability Guarantees for DPSGD with Heavy Tails. - Haichao Sha; Yang Cao; Yong Liu; Yuncheng Wu; Ruixuan Liu; Hong Chen (CoRR, 2024)

DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning. - Yixuan Liu 002; Li Xiong 001; Yuhan Liu; Yujie Gu; Ruixuan Liu; Hong Chen 001 (CoRR, 2024)

Scaling Up Natural Language Understanding for Multi-Robots Through the Lens of Hierarchy. - Shaojun Xu; Xusheng Luo; Yutong Huang; Letian Leng; Ruixuan Liu; Changliu Liu (CoRR, 2024)

Physics-Aware Combinatorial Assembly Planning using Deep Reinforcement Learning. - Ruixuan Liu; Alan Chen 007; Weiye Zhao; Changliu Liu (CoRR, 2024)

Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts. - Hongyi Chen; Yunchao Yao; Ruixuan Liu; Changliu Liu; Jeffrey Ichnowski (CoRR, 2024)

Technical Report for Soccernet 2023 - Dense Video Captioning. - Zheng Ruan; Ruixuan Liu; Shimin Chen; Mengying Zhou; Xinquan Yang; Wei Li 012; Chen Chen 114; Wei Shen (CoRR, 2024)

Robustifying Long-term Human-Robot Collaboration through a Hierarchical and Multimodal Framework. - Peiqi Yu; Abulikemu Abuduweili; Ruixuan Liu; Changliu Liu (CoRR, 2024)

ExpShield: Safeguarding Web Text from Unauthorized Crawling and Language Modeling Exploitation. - Ruixuan Liu; Toan Tran; Tianhao Wang 001; Hongsheng Hu; Shuo Wang; Li Xiong 001 (CoRR, 2024)

GUARD: A Safe Reinforcement Learning Benchmark. - Weiye Zhao; Yifan Sun 011; Feihan Li; Rui Chen 030; Ruixuan Liu; Tianhao Wei; Changliu Liu (Trans. Mach. Learn. Res., 2024)

Decomposition-Based Hierarchical Task Allocation and Planning for Multi-Robots Under Hierarchical Temporal Logic Specifications. - Xusheng Luo; Shaojun Xu; Ruixuan Liu; Changliu Liu (IEEE Robotics Autom. Lett., 2024)

StableLego: Stability Analysis of Block Stacking Assembly. - Ruixuan Liu; Kangle Deng; Ziwei Wang 001; Changliu Liu (IEEE Robotics Autom. Lett., 2024)

MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay. - Zeke Xia; Ming Hu 003; Dengke Yan; Ruixuan Liu; Anran Li 001; Xiaofei Xie; Mingsong Chen 001 (AAAI, 2025)

Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training. - Toan Tran; Ruixuan Liu; Li Xiong 001 (ACL (Findings), 2025)

Robot Failure Recovery Using Vision-Language Models With Optimized Prompts. - Hongyi Chen; Yunchao Yao; Ruixuan Liu; Changliu Liu; Jeffrey Ichnowski (ACC, 2025)

Towards Realistic Lens Flare Removal: A Data-Centric Approach with Enhanced Synthetic Diversity. - Ruixuan Liu; Hao Xu; Kun Hu; Dong Liang (ICIC (14), 2025)

Towards hyperparameter-free optimization with differential privacy. - Ruixuan Liu; Zhiqi Bu (ICLR, 2025)

Eye-in-Finger: Smart Fingers for Delicate Assembly and Disassembly of LEGO. - Zhenran Tang; Ruixuan Liu; Changliu Liu (CoRR, 2025)

APEX-MR: Multi-Robot Asynchronous Planning and Execution for Cooperative Assembly. - Philip Huang; Ruixuan Liu; Changliu Liu; Jiaoyang Li 001 (CoRR, 2025)

Generating Physically Stable and Buildable LEGO Designs from Text. - Ava Pun; Kangle Deng; Ruixuan Liu; Deva Ramanan; Changliu Liu; Jun-Yan Zhu (CoRR, 2025)

Physics-Aware Combinatorial Assembly Sequence Planning Using Data-Free Action Masking. - Ruixuan Liu; Alan Chen 007; Weiye Zhao; Changliu Liu (IEEE Robotics Autom. Lett., 2025)

NeSyPack: A Neuro-Symbolic Framework for Bimanual Logistics Packing. - Bowei Li; Peiqi Yu; Zhenran Tang; Han Zhou; Yifan Sun 011; Ruixuan Liu; Changliu Liu (CoRR, 2025)

Human behavior recognition based on DualBiNet model. - Lingling Kan; Ruixuan Liu; Hongwei Liang; Fengcai Huo; Wenfeng Wang (Int. J. Multim. Inf. Retr., 2025)

UniAud: A Unified Auditing Framework for High Auditing Power and Utility with One Training Run. - Ruixuan Liu; Li Xiong (CoRR, 2025)

TransFed: cross-domain feature alignment for semi-supervised federated transfer learning. - Linghui Zeng; Ruixuan Liu; Li Xiong 001; Joyce C. Ho (Mach. Learn., 2025)