Fuxun Yu

According to our database, Fuxun Yu authored at least 60 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Online Learning via Memory: Retrieval-Augmented Detector Adaptation.

Yanan Jian, Fuxun Yu, Qi Zhang, William Levine, Brandon Dubbs, Nikolaos Karianakis

CoRR, 2024

LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching.

Simranjit Singh, Michael Fore, Andreas Karatzas, Chaehong Lee, Yanan Jian, Longfei Shangguan, Fuxun Yu, Iraklis Anagnostopoulos, Dimitrios Stamoulis

CoRR, 2024

Infinite-Dimensional Feature Interaction.

Chenhui Xu, Fuxun Yu, Maoliang Li, Zihao Zheng, Zirui Xu, Jinjun Xiong, Xiang Chen

CoRR, 2024

QuadraNet V2: Efficient and Sustainable Training of High-Order Neural Networks with Quadratic Adaptation.

Chenhui Xu, Xinyao Wang, Fuxun Yu, Jinjun Xiong, Xiang Chen

CoRR, 2024

Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble.

Chenhui Xu, Fuxun Yu, Zirui Xu, Nathan Inkawhich, Xiang Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks.

Chenhui Xu, Fuxun Yu, Zirui Xu, Chenchen Liu, Jinjun Xiong, Xiang Chen

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

LanCeX: A Versatile and Lightweight Defense Method against Condensed Adversarial Attacks in Image and Audio Recognition.

Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen

ACM Trans. Embed. Comput. Syst., 2023

Stable Diffusion For Aerial Object Detection.

Yanan Jian, Fuxun Yu, Simranjit Singh, Dimitrios Stamoulis

CoRR, 2023

FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients.

Min Zhang, Fuxun Yu, Yongbo Yu, Minjia Zhang, Ang Li, Xiang Chen

CoRR, 2023

GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning.

Yongbo Yu, Fuxun Yu, Mingjia Zhang, Di Wang, Tolga Soyata, Chenchen Liu, Xiang Chen

CoRR, 2023

EagleRec: Edge-Scale Recommendation System Acceleration with Inter-Stage Parallelism Optimization on GPUs.

Yongbo Yu, Fuxun Yu, Xiang Sheng, Chenchen Liu, Xiang Chen

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency.

Fuxun Yu, Zirui Xu, Chenchen Liu, Dimitrios Stamoulis, Di Wang, Yanzhi Wang, Xiang Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

CaptorX: A Class-Adaptive Convolutional Neural Network Reconfiguration Framework.

Zhuwei Qin, Fuxun Yu, Zirui Xu, Chenchen Liu, Xiang Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

A Survey of Multi-Tenant Deep Learning Inference on GPU.

Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Chenchen Liu, Xiang Chen

CoRR, 2022

Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing.

Yongbo Yu, Fuxun Yu, Zirui Xu, Di Wang, Minjia Zhang, Ang Li, Shawn Bray, Chenchen Liu, Xiang Chen

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection.

Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

FalCon: Fine-grained Feature Map Sparsity Computing with Decomposed Convolutions for Inference Optimization.

Zirui Xu, Fuxun Yu, Chenxi Liu, Zhe Wu, Hongcheng Wang, Xiang Chen

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.

Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Supporting Massive DLRM Inference through Software Defined Memory.

Ehsan K. Ardestani, Changkyu Kim, Seung Jae Lee, Luoshang Pan, Jens Axboe, Valmiki Rampersad, Banit Agrawal, Fuxun Yu, Ansha Yu, Trung Le, Hector Yuen, Dheevatsa Mudigere, Shishir Juluri, Akshat Nanda, Manoj Wodekar, Krishnakumar Nair, Maxim Naumov, Chris Petersen, Mikhail Smelyanskiy, Vijay Rao

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Wideband Spectrum Sensing based on Collaborative Multi-Task Learning.

Weishan Zhang, Yue Wang, Fuxun Yu, Zhuwei Qin, Xiang Chen, Zhi Tian

Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

2021

REIN the RobuTS: Robust DNN-Based Image Recognition in Autonomous Driving Systems.

Fuxun Yu, Zhuwei Qin, Chenchen Liu, Di Wang, Xiang Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

DiReCtX: Dynamic Resource-Aware CNN Reconfiguration Framework for Real-Time Mobile Applications.

Zirui Xu, Fuxun Yu, Zhuwei Qin, Chenchen Liu, Xiang Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities.

Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Xulong Tang, Chenchen Liu, Xiang Chen

CoRR, 2021

Supporting Massive DLRM Inference Through Software Defined Memory.

Ehsan K. Ardestani, Changkyu Kim, Seung Jae Lee, Luoshang Pan, Valmiki Rampersad, Jens Axboe, Banit Agrawal, Fuxun Yu, Ansha Yu, Trung Le, Hector Yuen, Shishir Juluri, Akshat Nanda, Manoj Wodekar, Dheevatsa Mudigere, Krishnakumar Nair, Maxim Naumov, Chris Peterson, Mikhail Smelyanskiy, Vijay Rao

CoRR, 2021

Fed2: Feature-Aligned Federated Learning.

Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU.

Fuxun Yu, Shawn Bray, Di Wang, Longfei Shangguan, Xulong Tang, Chenchen Liu, Xiang Chen

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration.

Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks.

Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen

CoRR, 2020

Efficient Neural Network Implementation with Quadratic Neuron.

Zirui Xu, Jinjun Xiong, Fuxun Yu, Xiang Chen

CoRR, 2020

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

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

CoRR, 2020

Heterogeneous Federated Learning.

Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen

CoRR, 2020

Enabling efficient ReRAM-based neural network computing via crossbar structure adaptive optimization.

Chenchen Liu, Fuxun Yu, Zhuwei Qin, Xiang Chen

Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020

Exploring the Design Space of Efficient Deep Neural Networks.

Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen

Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

DC-CNN: Computational Flow Redefinition for Efficient CNN through Structural Decoupling.

Fuxun Yu, Zhuwei Qin, Di Wang, Ping Xu, Chenchen Liu, Zhi Tian, Xiang Chen

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency.

Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications.

Zirui Xu, Fuxun Yu, Xiang Chen

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation.

Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning.

Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Pei Yu, Dimitrios Lymberopoulos, Xiang Chen

CoRR, 2019

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

Zirui Xu, Fuxun Yu, Xiang Chen

CoRR, 2019

ADMM for Efficient Deep Learning with Global Convergence.

Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Interpreting and Evaluating Neural Network Robustness.

Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Task-adaptive incremental learning for intelligent edge devices.

Zhuwei Qin, Fuxun Yu, Xiang Chen

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

MASKER: Adaptive Mobile Security Enhancement against Automatic Speech Recognition in Eavesdropping.

Fuxun Yu, Zirui Xu, Chenchen Liu, Xiang Chen

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

ReForm: Static and Dynamic Resource-Aware DNN Reconfiguration Framework for Mobile Device.

Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Functionality-Oriented Convolutional Filter Pruning.

Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen

Proceedings of the 30th British Machine Vision Conference 2019, 2019

REIN: a robust training method for enhancing generalization ability of neural networks in autonomous driving systems.

Fuxun Yu, Chenchen Liu, Xiang Chen

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

HAMPER: high-performance adaptive mobile security enhancement against malicious speech and image recognition.

Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

CAPTOR: a class adaptive filter pruning framework for convolutional neural networks in mobile applications.

Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018

How convolutional neural networks see the world - A survey of convolutional neural network visualization methods.

Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen

Math. Found. Comput., 2018

Distilling Critical Paths in Convolutional Neural Networks.

Fuxun Yu, Zhuwei Qin, Xiang Chen

CoRR, 2018

Demystifying Neural Network Filter Pruning.

Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen

CoRR, 2018

Progressive Weight Pruning of Deep Neural Networks using ADMM.

Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Kaidi Xu, Yunfei Yang, Fuxun Yu, Jian Tang, Makan Fardad, Sijia Liu, Xiang Chen, Xue Lin, Yanzhi Wang

CoRR, 2018

Interpretable Convolutional Filter Pruning.

Zhuwei Qin, Fuxun Yu, Chenchen Liu, Liang Zhao, Xiang Chen

CoRR, 2018

Interpreting Adversarial Robustness: A View from Decision Surface in Input Space.

Fuxun Yu, Chenchen Liu, Yanzhi Wang, Liang Zhao, Xiang Chen

CoRR, 2018

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

Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen

CoRR, 2018

Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients.

Fuxun Yu, Zirui Xu, Yanzhi Wang, Chenchen Liu, Xiang Chen

CoRR, 2018

How convolutional neural network see the world - A survey of convolutional neural network visualization methods.

Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen

CoRR, 2018

ASP: A Fast Adversarial Attack Example Generation Framework based on Adversarial Saliency Prediction.

Fuxun Yu, Qide Dong, Xiang Chen

CoRR, 2018

ReRise: An Adversarial Example Restoration System for Neuromorphic Computing Security.

Chenchen Liu, Qide Dong, Fuxun Yu, Xiang Chen

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

DiReCt: Resource-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems.

Zirui Xu, Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen

Proceedings of the International Symposium on Low Power Electronics and Design, 2018