Zirui Xu

Orcid: 0000-0002-3556-9358

According to our database1, Zirui Xu authored at least 38 papers between 2017 and 2025.

Collaborative distances:

Timeline

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On csauthors.net:

Bibliography

2025
Rethinking Latency-Aware DNN Design With GPU Tail Effect Analysis.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2025

2024
Online and Robust Intermittent Motion Planning in Dynamic and Changing Environments.
IEEE Trans. Neural Networks Learn. Syst., December, 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.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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


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