Ruixuan Liu - RankMe

87 papers A* 7A 2B 2C 3Misc 1Journal 60Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BrickSim: A Physics-Based Simulator for Manipulating Interlocking Brick Assemblies. CoRR Haowei Wen, Ruixuan Liu, Weiyi Piao, Siyu Li, Changliu Liu
2026	J	`jnl`	RoCo Challenge at AAAI 2026: Benchmarking Robotic Collaborative Manipulation for Assembly Towards Industrial Automation. CoRR Haichao Liu, Yuheng Zhou, Zhenyu Wu, Ziheng Ji, Ziyu Shan, Qianzhun Wang, Ruixuan Liu, Zhiyuan Yang, Yejun Gu, Shalman Khan, Shijun Yan, Jun Liu, Haiyue Zhu, Changliu Liu, Jianfei Yang, Jingbing Zhang, Ziwei Wang
2025	J	`jnl`	APEX-MR: Multi-Robot Asynchronous Planning and Execution for Cooperative Assembly. CoRR Philip Huang, Ruixuan Liu, Changliu Liu, Jiaoyang Li
2025	A*	`conf`	Differentially Private Visual Learning with Public Subspace Augmented by Synthetic Data. ACM Multimedia Haichao Sha, Yuncheng Wu, Ruixuan Liu, Yang Cao, Hong Chen
2025	J	`jnl`	Direct Token Optimization: A Self-contained Approach to Large Language Model Unlearning. CoRR Hong-Kyu Lee, Ruixuan Liu, Li Xiong
2025	A	`conf`	Eye-In-Finger: Smart Fingers for Delicate Assembly and Disassembly of LEGO. IROS Zhenran Tang, Ruixuan Liu, Changliu Liu
2025	J	`jnl`	Eye-in-Finger: Smart Fingers for Delicate Assembly and Disassembly of LEGO. CoRR Zhenran Tang, Ruixuan Liu, Changliu Liu
2025	J	`jnl`	FedGraft: Memory-Aware Heterogeneous Federated Learning via Model Grafting. IEEE Trans. Mob. Comput. Ruixuan Liu, Ming Hu, Zeke Xia, Xiaofei Xie, Jun Xia, Pengyu Zhang, Yihao Huang, Mingsong Chen
2025	J	`jnl`	FedSGT: Exact Federated Unlearning via Sequential Group-based Training. CoRR Bokang Zhang, Hong Guan, Hong Kyu Lee, Ruixuan Liu, Jia Zou, Li Xiong
2025	J	`jnl`	FusionDP: Foundation Model-Assisted Differentially Private Learning for Partially Sensitive Features. CoRR Linghui Zeng, Ruixuan Liu, Atiquer Rahman Sarkar, Xiaoqian Jiang, Joyce C. Ho, Li Xiong
2025	J	`jnl`	Generating Physically Stable and Buildable LEGO Designs from Text. CoRR Ava Pun, Kangle Deng, Ruixuan Liu, Deva Ramanan, Changliu Liu, Jun-Yan Zhu
2025	J	`jnl`	Human behavior recognition based on DualBiNet model. Int. J. Multim. Inf. Retr. Lingling Kan, Ruixuan Liu, Hongwei Liang, Fengcai Huo, Wenfeng Wang
2025	A*	`conf`	MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay. AAAI Zeke Xia, Ming Hu, Dengke Yan, Ruixuan Liu, Anran Li, Xiaofei Xie, Mingsong Chen
2025	J	`jnl`	NeSyPack: A Neuro-Symbolic Framework for Bimanual Logistics Packing. CoRR Bowei Li, Peiqi Yu, Zhenran Tang, Han Zhou, Yifan Sun, Ruixuan Liu, Changliu Liu
2025	J	`jnl`	Physics-Aware Combinatorial Assembly Sequence Planning Using Data-Free Action Masking. IEEE Robotics Autom. Lett. Ruixuan Liu, Alan Chen, Weiye Zhao, Changliu Liu
2025	J	`jnl`	Prompt-to-Product: Generative Assembly via Bimanual Manipulation. CoRR Ruixuan Liu, Philip Huang, Ava Pun, Kangle Deng, Shobhit Aggarwal, Kevin Tang, Michelle Liu, Deva Ramanan, Jun-Yan Zhu, Jiaoyang Li, Changliu Liu
2025	C	`conf`	Robot Failure Recovery Using Vision-Language Models With Optimized Prompts. ACC Hongyi Chen, Yunchao Yao, Ruixuan Liu, Changliu Liu, Jeffrey Ichnowski
2025	J	`jnl`	Tight and Practical Privacy Auditing for Differentially Private In-Context Learning. CoRR Yuyang Xia, Ruixuan Liu, Li Xiong
2025	A	`conf`	Time-Optimal Trajectory Generation with Multi-level Continuous Kinodynamics Constraints. IROS Ruixuan Liu, Changliu Liu, Jessica Leu
2025	—	`conf`	Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training. ACL (Findings) Toan Tran, Ruixuan Liu, Li Xiong
2025	J	`jnl`	Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training. CoRR Toan Tran, Ruixuan Liu, Li Xiong
2025	J	`jnl`	Toward Accurate Vertical Federated Learning via Early Exit and Election Knowledge Distillation. J. Circuits Syst. Comput. Ruixuan Liu, Wenjie Chen
2025	—	`conf`	Towards Realistic Lens Flare Removal: A Data-Centric Approach with Enhanced Synthetic Diversity. ICIC (14) Ruixuan Liu, Hao Xu, Kun Hu, Dong Liang
2025	A*	`conf`	Towards hyperparameter-free optimization with differential privacy. ICLR Ruixuan Liu, Zhiqi Bu
2025	J	`jnl`	Towards hyperparameter-free optimization with differential privacy. CoRR Zhiqi Bu, Ruixuan Liu
2025	J	`jnl`	TransFed: cross-domain feature alignment for semi-supervised federated transfer learning. Mach. Learn. Linghui Zeng, Ruixuan Liu, Li Xiong, Joyce C. Ho
2025	J	`jnl`	UniAud: A Unified Auditing Framework for High Auditing Power and Utility with One Training Run. CoRR Ruixuan Liu, Li Xiong
2024	J	`jnl`	Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts. CoRR Hongyi Chen, Yunchao Yao, Ruixuan Liu, Changliu Liu, Jeffrey Ichnowski
2024	J	`jnl`	Clip Body and Tail Separately: High Probability Guarantees for DPSGD with Heavy Tails. CoRR Haichao Sha, Yang Cao, Yong Liu, Yuncheng Wu, Ruixuan Liu, Hong Chen
2024	J	`jnl`	DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning. CoRR Yixuan Liu, Li Xiong, Yuhan Liu, Yujie Gu, Ruixuan Liu, Hong Chen
2024	J	`jnl`	Decomposition-Based Hierarchical Task Allocation and Planning for Multi-Robots Under Hierarchical Temporal Logic Specifications. IEEE Robotics Autom. Lett. Xusheng Luo, Shaojun Xu, Ruixuan Liu, Changliu Liu
2024	J	`jnl`	ExpShield: Safeguarding Web Text from Unauthorized Crawling and Language Modeling Exploitation. CoRR Ruixuan Liu, Toan Tran, Tianhao Wang, Hongsheng Hu, Shuo Wang, Li Xiong
2024	J	`jnl`	GUARD: A Safe Reinforcement Learning Benchmark. Trans. Mach. Learn. Res. Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Ruixuan Liu, Tianhao Wei, Changliu Liu
2024	J	`jnl`	KoReA-SFL: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting. CoRR Zeke Xia, Ming Hu, Dengke Yan, Ruixuan Liu, Anran Li, Xiaofei Xie, Mingsong Chen
2024	—	`conf`	Monitoring of Winter Wheat Leaf Age Based on Remote Sensing and ECMWF Reanalysis Data. DTPI Yuhe Gao, Fangzhao Zhang, Ruixuan Liu, Jibo Zhang, Zixun Liu, Zhenhai Li
2024	—	`conf`	Patient-Centered and Practical Privacy to Support AI for Healthcare. TPS-ISA Ruixuan Liu, Hong-Kyu Lee, Sivasubramanium V. Bhavani, Xiaoqian Jiang, Lucila Ohno-Machado, Li Xiong
2024	J	`jnl`	Physics-Aware Combinatorial Assembly Planning using Deep Reinforcement Learning. CoRR Ruixuan Liu, Alan Chen, Weiye Zhao, Changliu Liu
2024	A*	`conf`	PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps. CCS Ruixuan Liu, Tianhao Wang, Yang Cao, Li Xiong
2024	J	`jnl`	PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps. CoRR Ruixuan Liu, Tianhao Wang, Yang Cao, Li Xiong
2024	C	`conf`	Real-Time Safety Index Adaptation for Parameter-Varying Systems via Determinant Gradient Ascend. ACC Rui Chen, Weiye Zhao, Ruixuan Liu, Weiyang Zhang, Changliu Liu
2024	J	`jnl`	Real-time Safety Index Adaptation for Parameter-varying Systems via Determinant Gradient Ascend. CoRR Rui Chen, Weiye Zhao, Ruixuan Liu, Weiyang Zhang, Changliu Liu
2024	J	`jnl`	Robustifying Long-term Human-Robot Collaboration through a Hierarchical and Multimodal Framework. CoRR Peiqi Yu, Abulikemu Abuduweili, Ruixuan Liu, Changliu Liu
2024	J	`jnl`	Scaling Up Natural Language Understanding for Multi-Robots Through the Lens of Hierarchy. CoRR Shaojun Xu, Xusheng Luo, Yutong Huang, Letian Leng, Ruixuan Liu, Changliu Liu
2024	J	`jnl`	StableLego: Stability Analysis of Block Stacking Assembly. CoRR Ruixuan Liu, Kangle Deng, Ziwei Wang, Changliu Liu
2024	J	`jnl`	StableLego: Stability Analysis of Block Stacking Assembly. IEEE Robotics Autom. Lett. Ruixuan Liu, Kangle Deng, Ziwei Wang, Changliu Liu
2024	J	`jnl`	Technical Report for Soccernet 2023 - Dense Video Captioning. CoRR Zheng Ruan, Ruixuan Liu, Shimin Chen, Mengying Zhou, Xinquan Yang, Wei Li, Chen Chen, Wei Shen
2023	J	`jnl`	A Lightweight and Transferable Design for Robust LEGO Manipulation. CoRR Ruixuan Liu, Yifan Sun, Changliu Liu
2023	J	`jnl`	AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems. CoRR Ruixuan Liu, Ming Hu, Zeke Xia, Jun Xia, Pengyu Zhang, Yihao Huang, Yang Liu, Mingsong Chen
2023	J	`jnl`	Coupling public and private gradient provably helps optimization. CoRR Ruixuan Liu, Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis
2023	J	`jnl`	GUARD: A Safe Reinforcement Learning Benchmark. CoRR Weiye Zhao, Rui Chen, Yifan Sun, Ruixuan Liu, Tianhao Wei, Changliu Liu
2023	J	`jnl`	Hadamard Encoding Based Frequent Itemset Mining under Local Differential Privacy. J. Comput. Sci. Technol. Dan Zhao, Suyun Zhao, Hong Chen, Ruixuan Liu, Cui-Ping Li, Xiaoying Zhang
2023	J	`jnl`	LuxGeo: Efficient and Security-Enhanced Geometric Range Queries. IEEE Trans. Knowl. Data Eng. Ruoyang Guo, Bo Qin, Yuncheng Wu, Ruixuan Liu, Hong Chen, Cuiping Li
2023	J	`jnl`	On the accuracy and efficiency of group-wise clipping in differentially private optimization. CoRR Zhiqi Bu, Ruixuan Liu, Yu-Xiang Wang, Sheng Zha, George Karypis
2023	A*	`conf`	PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation. KDD Ruixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen
2023	—	`conf`	Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control. CCTA Ruixuan Liu, Rui Chen, Abulikemu Abuduweili, Changliu Liu
2023	J	`jnl`	Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control. CoRR Ruixuan Liu, Rui Chen, Abulikemu Abuduweili, Changliu Liu
2023	J	`jnl`	Robotic LEGO Assembly and Disassembly from Human Demonstration. CoRR Ruixuan Liu, Yifan Sun, Changliu Liu
2023	J	`jnl`	Robotic Planning under Hierarchical Temporal Logic Specifications. CoRR Xusheng Luo, Shaojun Xu, Ruixuan Liu, Changliu Liu
2023	J	`jnl`	Simulation-aided Learning from Demonstration for Robotic LEGO Construction. CoRR Ruixuan Liu, Alan Chen, Xusheng Luo, Changliu Liu
2023	—	`conf`	Supporting Pandemic Preparedness with Privacy Enhancing Technology. TPS-ISA Ruixuan Liu, Sepanta Zeighami, Haowen Lin, Cyrus Shahabi, Yang Cao, Shun Takagi, Yoko Konishi, Masatoshi Yoshikawa, Li Xiong
2023	J	`jnl`	Zero redundancy distributed learning with differential privacy. CoRR Zhiqi Bu, Justin Chiu, Ruixuan Liu, Sheng Zha, George Karypis
2023	—	`conf`	Zero-Shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction. CDC Tianhao Wei, Shucheng Kang, Ruixuan Liu, Changliu Liu
2023	J	`jnl`	Zero-shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction. CoRR Tianhao Wei, Shucheng Kang, Ruixuan Liu, Changliu Liu
2022	B	`conf`	A hybrid BCI system combining motor imagery and conceptual imagery in a smart home environment. TrustCom Ruixuan Liu, Muyang Lyu, Jiangrong Yang
2022	J	`jnl`	Efficient protocols for heavy hitter identification with local differential privacy. Frontiers Comput. Sci. Dan Zhao, Suyun Zhao, Hong Chen, Ruixuan Liu, Cuiping Li, Wenjuan Liang
2022	J	`jnl`	FLDP: Flexible strategy for local differential privacy. CoRR Dan Zhao, Suyun Zhao, Ruixuan Liu, Cuiping Li, Wenjuan Liang, Hong Chen
2022	Misc	`conf`	Fldp: Flexible Strategy For Local Differential Privacy. ICASSP Dan Zhao, Hong Chen, Suyun Zhao, Ruixuan Liu, Cuiping Li, Xiaoying Zhang
2022	—	`conf`	Jerk-bounded Position Controller with Real-Time Task Modification for Interactive Industrial Robots. AIM Ruixuan Liu, Rui Chen, Yifan Sun, Yu Zhao, Changliu Liu
2022	A*	`conf`	No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. KDD Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
2022	J	`jnl`	No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. CoRR Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
2022	J	`jnl`	PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. CoRR Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie
2022	J	`jnl`	Safe Interactive Industrial Robots using Jerk-based Safe Set Algorithm. CoRR Ruixuan Liu, Rui Chen, Changliu Liu
2022	—	`conf`	Simulation research on grid cell discharge characteristics based on feedforward neural network. CAIBDA Jiangrong Yang, Muyang Lyu, Ruixuan Liu
2022	J	`jnl`	Task-Agnostic Adaptation for Safe Human-Robot Handover. CoRR Ruixuan Liu, Rui Chen, Changliu Liu
2021	—	`conf`	Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. EMNLP (1) Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie
2021	J	`jnl`	Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. CoRR Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie
2021	A*	`conf`	FLAME: Differentially Private Federated Learning in the Shuffle Model. AAAI Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa
2021	J	`jnl`	FedKD: Communication Efficient Federated Learning via Knowledge Distillation. CoRR Chuhan Wu, Fangzhao Wu, Ruixuan Liu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
2021	C	`conf`	Human Motion Prediction Using Adaptable Recurrent Neural Networks and Inverse Kinematics. ACC Ruixuan Liu, Changliu Liu
2021	J	`jnl`	Human Motion Prediction Using Adaptable Recurrent Neural Networks and Inverse Kinematics. IEEE Control. Syst. Lett. Ruixuan Liu, Changliu Liu
2021	J	`jnl`	IADA: Iterative Adversarial Data Augmentation Using Formal Verification and Expert Guidance. CoRR Ruixuan Liu, Changliu Liu
2020	J	`jnl`	A Pufferfish privacy mechanism for monitoring web browsing behavior under temporal correlations. Comput. Secur. Wenjuan Liang, Hong Chen, Ruixuan Liu, Yuncheng Wu, Cuiping Li
2020	J	`jnl`	FLAME: Differentially Private Federated Learning in the Shuffle Model. CoRR Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa
2020	—	`conf`	FedSel: Federated SGD Under Local Differential Privacy with Top-k Dimension Selection. DASFAA (1) Ruixuan Liu, Yang Cao, Masatoshi Yoshikawa, Hong Chen
2020	J	`jnl`	FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension Selection. CoRR Ruixuan Liu, Yang Cao, Masatoshi Yoshikawa, Hong Chen
2019	—	`conf`	Local Differential Privacy with K-anonymous for Frequency Estimation. IEEE BigData Dan Zhao, Hong Chen, Suyun Zhao, Xiaoying Zhang, Cuiping Li, Ruixuan Liu
2019	B	`conf`	MixGeo: efficient secure range queries on encrypted dense spatial data in the cloud. IWQoS Ruoyang Guo, Bo Qin, Yuncheng Wu, Ruixuan Liu, Hong Chen, Cuiping Li