Zirui Xu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 43

Top Topics

Image Recognition

Partially Observable

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

Chenhui Xu, Fuxun Yu, Zirui Xu, Nathan Inkawhich, Xiang Chen
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble. CoRR (2024)
Chenhui Xu, Fuxun Yu, Maoliang Li, Zihao Zheng, Zirui Xu, Jinjun Xiong, Xiang Chen
Infinite-Dimensional Feature Interaction. CoRR (2024)
Zirui Xu, Sandilya Sai Garimella, Vasileios Tzoumas
Communication- and Computation-Efficient Distributed Decision-Making in Multi-Robot Networks. CoRR (2024)
Chenhui Xu, Fuxun Yu, Zirui Xu, Chenchen Liu, Jinjun Xiong, Xiang Chen
QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks. ASPDAC (2024)
Zirui Xu, Xiaofeng Lin, Vasileios Tzoumas
Leveraging Untrustworthy Commands for Multi-Robot Coordination in Unpredictable Environments: A Bandit Submodular Maximization Approach. CoRR (2023)
Xiang Feng, Zhengliang Shan, Zhanfeng Zhao, Zirui Xu, Tianpeng Zhang, Zihe Zhou, Bo Deng, Zirui Guan
Millimeter-Wave Radar Monitoring for Elder's Fall Based on Multi-View Parameter Fusion Estimation and Recognition. Remote. Sens. 15 (8) (2023)
Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen
LanCeX: A Versatile and Lightweight Defense Method against Condensed Adversarial Attacks in Image and Audio Recognition. ACM Trans. Embed. Comput. Syst. 22 (1) (2023)
Zirui Xu, Hongyu Zhou, Vasileios Tzoumas
Online Submodular Coordination With Bounded Tracking Regret: Theory, Algorithm, and Applications to Multi-Robot Coordination. IEEE Robotics Autom. Lett. 8 (4) (2023)
Zirui Xu, Xiaofeng Lin, Vasileios Tzoumas
Bandit Submodular Maximization for Multi-Robot Coordination in Unpredictable and Partially Observable Environments. CoRR (2023)
Hongyu Zhou, Zirui Xu, Vasileios Tzoumas
Efficient Online Learning with Memory via Frank-Wolfe Optimization: Algorithms with Bounded Dynamic Regret and Applications to Control. CoRR (2023)
Hongyu Zhou, Zirui Xu, Vasileios Tzoumas
Efficient Online Learning with Memory via Frank-Wolfe Optimization: Algorithms with Bounded Dynamic Regret and Applications to Control. CDC (2023)
Zirui Xu, Xiaofeng Lin, Vasileios Tzoumas
Bandit Submodular Maximization for Multi-Robot Coordination in Unpredictable and Partially Observable Environments. Robotics: Science and Systems (2023)
Chenhui Xu, Fuxun Yu, Zirui Xu, Chenchen Liu, Jinjun Xiong, Xiang Chen
QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks. CoRR (2023)
Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration. MLSys (2022)
Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration. CoRR (2022)
Zirui Xu, Vasileios Tzoumas
Resource-Aware Distributed Submodular Maximization: A Paradigm for Multi-Robot Decision-Making. CDC (2022)
Zirui Xu, Hongyu Zhou, Vasileios Tzoumas
Online Submodular Coordination with Bounded Tracking Regret: Theory, Algorithm, and Applications to Multi-Robot Coordination. CoRR (2022)
Zirui Xu, Fuxun Yu, Chenxi Liu, Zhe Wu, Hongcheng Wang, Xiang Chen
FalCon: Fine-grained Feature Map Sparsity Computing with Decomposed Convolutions for Inference Optimization. WACV (2022)
Yongbo Yu, Fuxun Yu, Zirui Xu, Di Wang, Minjia Zhang, Ang Li, Shawn Bray, Chenchen Liu, Xiang Chen
Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing. WWW (Companion Volume) (2022)
Zirui Xu, Vasileios Tzoumas
Resource-Aware Distributed Submodular Maximization: A Paradigm for Multi-Robot Decision-Making. CoRR (2022)
Zhuwei Qin, Fuxun Yu, Zirui Xu, Chenchen Liu, Xiang Chen
CaptorX: A Class-Adaptive Convolutional Neural Network Reconfiguration Framework. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (3) (2022)
Fuxun Yu, Zirui Xu, Chenchen Liu, Dimitrios Stamoulis, Di Wang, Yanzhi Wang, Xiang Chen
AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Zirui Xu, Qiang Du
On the Ternary Ohta-Kawasaki Free Energy and Its One-dimensional Global Minimizers. J. Nonlinear Sci. 32 (5) (2022)
Zirui Xu, Fuxun Yu, Zhuwei Qin, Chenchen Liu, Xiang Chen
DiReCtX: Dynamic Resource-Aware CNN Reconfiguration Framework for Real-Time Mobile Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (2) (2021)
Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen
Fed2: Feature-Aligned Federated Learning. KDD (2021)
Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen
Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration. DAC (2021)
Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen
Fed2: Feature-Aligned Federated Learning. CoRR (2021)
Zirui Xu, Jinjun Xiong, Fuxun Yu, Xiang Chen
Efficient Neural Network Implementation with Quadratic Neuron. CoRR (2020)
Zirui Xu, Fuxun Yu, Xiang Chen
LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications. ASP-DAC (2020)
George P. Kontoudis, Zirui Xu, Kyriakos G. Vamvoudakis
Online, Model-Free Motion Planning in Dynamic Environments: An Intermittent, Finite Horizon Approach with Continuous-Time Q-Learning. ACC (2020)
Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen
Heterogeneous Federated Learning. CoRR (2020)
Fuxun Yu, Zirui Xu, Tong Shen, Dimitrios Stamoulis, Longfei Shangguan, Di Wang, Rishi Madhok, Chunshui Zhao, Xin Li, Nikolaos Karianakis, Dimitrios Lymberopoulos, Ang Li, Chenchen Liu, Yiran Chen, Xiang Chen
Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination. CoRR (2020)
Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen
ReForm: Static and Dynamic Resource-Aware DNN Reconfiguration Framework for Mobile Device. DAC (2019)
Zirui Xu, Fuxun Yu, Xiang Chen
DoPa: A Fast and Comprehensive CNN Defense Methodology against Physical Adversarial Attacks. CoRR (2019)
Zirui Xu, Zhao Yang, Jinjun Xiong, Jianlei Yang, Xiang Chen
ELFISH: Resource-Aware Federated Learning on Heterogeneous Edge Devices. CoRR (2019)
Fuxun Yu, Zirui Xu, Chenchen Liu, Xiang Chen
MASKER: Adaptive Mobile Security Enhancement against Automatic Speech Recognition in Eavesdropping. DAC (2019)
Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen
HAMPER: high-performance adaptive mobile security enhancement against malicious speech and image recognition. ASP-DAC (2019)
Zirui Xu, Fuxun Yu, Xiang Chen
LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications. CoRR (2019)
Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen
HASP: A High-Performance Adaptive Mobile Security Enhancement Against Malicious Speech Recognition. CoRR (2018)
Zirui Xu, Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
DiReCt: Resource-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems. ISLPED (2018)
Fuxun Yu, Zirui Xu, Yanzhi Wang, Chenchen Liu, Xiang Chen
Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients. CoRR (2018)
Zhuwei Qin, Zirui Xu, Qide Dong, Yiran Chen, Xiang Chen
VoCaM: Visualization oriented convolutional neural network acceleration on mobile system: Invited paper. ICCAD (2017)
Jiachen Mao, Zhuwei Qin, Zirui Xu, Kent W. Nixon, Xiang Chen, Hai Li, Yiran Chen
AdaLearner: An adaptive distributed mobile learning system for neural networks. ICCAD (2017)