Fuxun Yu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 69

Top Topics

Dynamic Optimization

Image Recognition

Top Venues

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

Publications

Simranjit Singh, Michael Fore, Andreas Karatzas, Chaehong Lee, Yanan Jian, Longfei Shangguan, Fuxun Yu, Iraklis Anagnostopoulos, Dimitrios Stamoulis
LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching. CoRR (2024)
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)
Chenhui Xu, Xinyao Wang, Fuxun Yu, Jinjun Xiong, Xiang Chen
QuadraNet V2: Efficient and Sustainable Training of High-Order Neural Networks with Quadratic Adaptation. 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)
Yongbo Yu, Fuxun Yu, Xiang Sheng, Chenchen Liu, Xiang Chen
EagleRec: Edge-Scale Recommendation System Acceleration with Inter-Stage Parallelism Optimization on GPUs. DAC (2023)
Yanan Jian, Fuxun Yu, Simranjit Singh, Dimitrios Stamoulis
Stable Diffusion For Aerial Object Detection. CoRR (2023)
Yongbo Yu, Fuxun Yu, Mingjia Zhang, Di Wang, Tolga Soyata, Chenchen Liu, Xiang Chen
GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning. CoRR (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)
Min Zhang, Fuxun Yu, Yongbo Yu, Minjia Zhang, Ang Li, Xiang Chen
FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients. CoRR (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, 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)
Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Chenchen Liu, Xiang Chen
A Survey of Multi-Tenant Deep Learning Inference on GPU. CoRR (2022)
Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen
SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection. WACV (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)
Weishan Zhang, Yue Wang, Fuxun Yu, Zhuwei Qin, Xiang Chen, Zhi Tian
Wideband Spectrum Sensing based on Collaborative Multi-Task Learning. ICC Workshops (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)
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
Supporting Massive DLRM Inference through Software Defined Memory. ICDCS (2022)
Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Xulong Tang, Chenchen Liu, Xiang Chen
A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities. CoRR (2021)
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, Zhuwei Qin, Chenchen Liu, Di Wang, Xiang Chen
REIN the RobuTS: Robust DNN-Based Image Recognition in Autonomous Driving Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (6) (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)
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
Supporting Massive DLRM Inference Through Software Defined Memory. CoRR (2021)
Fuxun Yu, Shawn Bray, Di Wang, Longfei Shangguan, Xulong Tang, Chenchen Liu, Xiang Chen
Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU. CoRR (2021)
Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen
Fed2: Feature-Aligned Federated Learning. CoRR (2021)
Fuxun Yu, Shawn Bray, Di Wang, Longfei Shangguan, Xulong Tang, Chenchen Liu, Xiang Chen
Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU. ICCAD (2021)
Zirui Xu, Jinjun Xiong, Fuxun Yu, Xiang Chen
Efficient Neural Network Implementation with Quadratic Neuron. CoRR (2020)
Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen
Exploring the Design Space of Efficient Deep Neural Networks. SEC (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)
Fuxun Yu, Zhuwei Qin, Di Wang, Ping Xu, Chenchen Liu, Zhi Tian, Xiang Chen
DC-CNN: Computational Flow Redefinition for Efficient CNN through Structural Decoupling. DATE (2020)
Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen
AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. DATE (2020)
Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks. CoRR (2020)
Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen
AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. CoRR (2020)
Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. ASP-DAC (2020)
Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen
Heterogeneous Federated Learning. CoRR (2020)
Chenchen Liu, Fuxun Yu, Zhuwei Qin, Xiang Chen
Enabling efficient ReRAM-based neural network computing via crossbar structure adaptive optimization. ISLPED (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)
Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Pei Yu, Dimitrios Lymberopoulos, Xiang Chen
Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning. CoRR (2019)
Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao
ADMM for Efficient Deep Learning with Global Convergence. KDD (2019)
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)
Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. CoRR (2019)
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
Functionality-Oriented Convolutional Filter Pruning. BMVC (2019)
Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen
Interpreting and Evaluating Neural Network Robustness. CoRR (2019)
Zhuwei Qin, Fuxun Yu, Xiang Chen
Task-adaptive incremental learning for intelligent edge devices. SEC (2019)
Fuxun Yu, Zirui Xu, Chenchen Liu, Xiang Chen
MASKER: Adaptive Mobile Security Enhancement against Automatic Speech Recognition in Eavesdropping. DAC (2019)
Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao
ADMM for Efficient Deep Learning with Global Convergence. CoRR (2019)
Fuxun Yu, Chenchen Liu, Xiang Chen
REIN: a robust training method for enhancing generalization ability of neural networks in autonomous driving systems. ASP-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)
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
CAPTOR: a class adaptive filter pruning framework for convolutional neural networks in mobile applications. ASP-DAC (2019)
Zhuwei Qin, Fuxun Yu, Xiang Chen
Task-Adaptive Incremental Learning for Intelligent Edge Devices. CoRR (2019)
Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen
Interpreting and Evaluating Neural Network Robustness. IJCAI (2019)
Fuxun Yu, Chenchen Liu, Yanzhi Wang, Liang Zhao, Xiang Chen
Interpreting Adversarial Robustness: A View from Decision Surface in Input Space. CoRR (2018)
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
Progressive Weight Pruning of Deep Neural Networks using ADMM. CoRR (2018)
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
How convolutional neural network see the world - A survey of convolutional neural network visualization methods. CoRR (2018)
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Liang Zhao, Xiang Chen
Interpretable Convolutional Filter Pruning. CoRR (2018)
Fuxun Yu, Zhuwei Qin, Xiang Chen
Distilling Critical Paths in Convolutional Neural Networks. CoRR (2018)
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
Demystifying Neural Network Filter Pruning. CoRR (2018)
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)
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
How convolutional neural networks see the world - A survey of convolutional neural network visualization methods. Math. Found. Comput. 1 (2) (2018)
Fuxun Yu, Qide Dong, Xiang Chen
ASP: A Fast Adversarial Attack Example Generation Framework based on Adversarial Saliency Prediction. CoRR (2018)
Chenchen Liu, Qide Dong, Fuxun Yu, Xiang Chen
ReRise: An Adversarial Example Restoration System for Neuromorphic Computing Security. ISVLSI (2018)
Fuxun Yu, Zirui Xu, Yanzhi Wang, Chenchen Liu, Xiang Chen
Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients. CoRR (2018)