Zirui Xu

Orcid: 0000-0002-3556-9358

According to our database1, Zirui Xu authored at least 36 papers between 2017 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Performance-Aware Self-Configurable Multi-Agent Networks: A Distributed Submodular Approach for Simultaneous Coordination and Network Design.
CoRR, 2024

Communication- and Computation-Efficient Distributed Decision-Making in Multi-Robot Networks.
CoRR, 2024

Infinite-Dimensional Feature Interaction.
CoRR, 2024

Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

Leveraging Untrustworthy Commands for Multi-Robot Coordination in Unpredictable Environments: A Bandit Submodular Maximization Approach.
Proceedings of the American Control Conference, 2024

2023
Millimeter-Wave Radar Monitoring for Elder's Fall Based on Multi-View Parameter Fusion Estimation and Recognition.
Remote. Sens., April, 2023

Online Submodular Coordination With Bounded Tracking Regret: Theory, Algorithm, and Applications to Multi-Robot Coordination.
IEEE Robotics Autom. Lett., April, 2023

LanCeX: A Versatile and Lightweight Defense Method against Condensed Adversarial Attacks in Image and Audio Recognition.
ACM Trans. Embed. Comput. Syst., 2023

Bandit Submodular Maximization for Multi-Robot Coordination in Unpredictable and Partially Observable Environments.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Efficient Online Learning with Memory via Frank-Wolfe Optimization: Algorithms with Bounded Dynamic Regret and Applications to Control.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

CaptorX: A Class-Adaptive Convolutional Neural Network Reconfiguration Framework.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

On the Ternary Ohta-Kawasaki Free Energy and Its One-dimensional Global Minimizers.
J. Nonlinear Sci., 2022

Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

FalCon: Fine-grained Feature Map Sparsity Computing with Decomposed Convolutions for Inference Optimization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Resource-Aware Distributed Submodular Maximization: A Paradigm for Multi-Robot Decision-Making.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
DiReCtX: Dynamic Resource-Aware CNN Reconfiguration Framework for Real-Time Mobile Applications.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Fed2: Feature-Aligned Federated Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020
Efficient Neural Network Implementation with Quadratic Neuron.
CoRR, 2020

Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination.
CoRR, 2020

Heterogeneous Federated Learning.
CoRR, 2020

LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications.
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

Online, Model-Free Motion Planning in Dynamic Environments: An Intermittent, Finite Horizon Approach with Continuous-Time Q-Learning.
Proceedings of the 2020 American Control Conference, 2020

2019
ELFISH: Resource-Aware Federated Learning on Heterogeneous Edge Devices.
CoRR, 2019

DoPa: A Fast and Comprehensive CNN Defense Methodology against Physical Adversarial Attacks.
CoRR, 2019

MASKER: Adaptive Mobile Security Enhancement against Automatic Speech Recognition in Eavesdropping.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

ReForm: Static and Dynamic Resource-Aware DNN Reconfiguration Framework for Mobile Device.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

HAMPER: high-performance adaptive mobile security enhancement against malicious speech and image recognition.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018
HASP: A High-Performance Adaptive Mobile Security Enhancement Against Malicious Speech Recognition.
CoRR, 2018

Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients.
CoRR, 2018

DiReCt: Resource-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems.
Proceedings of the International Symposium on Low Power Electronics and Design, 2018

2017
VoCaM: Visualization oriented convolutional neural network acceleration on mobile system: Invited paper.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

AdaLearner: An adaptive distributed mobile learning system for neural networks.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017


  Loading...