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Fuxun Yu
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2020 – today
- 2024
- [c29]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: 19-25 - [c28]Chenhui Xu, Fuxun Yu, Zirui Xu, Nathan Inkawhich, Xiang Chen:
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble. ICML 2024 - [i37]Chenhui Xu, Fuxun Yu, Zirui Xu, Nathan Inkawhich, Xiang Chen:
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble. CoRR abs/2403.16260 (2024) - [i36]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 abs/2405.03192 (2024) - [i35]Chenhui Xu, Fuxun Yu, Maoliang Li, Zihao Zheng, Zirui Xu, Jinjun Xiong, Xiang Chen:
Infinite-Dimensional Feature Interaction. CoRR abs/2405.13972 (2024) - [i34]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 abs/2406.06799 (2024) - [i33]Yanan Jian, Fuxun Yu, Qi Zhang, William Levine, Brandon Dubbs, Nikolaos Karianakis:
Online Learning via Memory: Retrieval-Augmented Detector Adaptation. CoRR abs/2409.10716 (2024) - [i32]Youpeng Li, Xinda Wang, Fuxun Yu, Lichao Sun, Wenbin Zhang, Xuyu Wang:
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization. CoRR abs/2410.13083 (2024) - 2023
- [j6]Zirui Xu
, Fuxun Yu
LanCeX: A Versatile and Lightweight Defense Method against Condensed Adversarial Attacks in Image and Audio Recognition. ACM Trans. Embed. Comput. Syst. 22(1): 14:1-14:24 (2023) - [c27]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: 1-6 - [i31]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 abs/2304.11745 (2023) - [i30]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 abs/2305.15668 (2023) - [i29]Yanan Jian, Fuxun Yu, Simranjit Singh
Stable Diffusion For Aerial Object Detection. CoRR abs/2311.12345 (2023) - [i28]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 abs/2311.17956 (2023) - 2022
- [j5]Zhuwei Qin
CaptorX: A Class-Adaptive Convolutional Neural Network Reconfiguration Framework. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(3): 530-543 (2022) - [j4]Fuxun Yu
AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4694-4707 (2022) - [c26]Weishan Zhang
Wideband Spectrum Sensing based on Collaborative Multi-Task Learning. ICC Workshops 2022: 1-6 - [c25]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: 302-312 - [c24]Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen:
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration. MLSys 2022 - [c23]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: 1061-1070 - [c22]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: 3634-3644 - [c21]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: 567-571 - [i27]Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Chenchen Liu, Xiang Chen:
A Survey of Multi-Tenant Deep Learning Inference on GPU. CoRR abs/2203.09040 (2022) - [i26]Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen:
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration. CoRR abs/2204.01701 (2022) - 2021
- [j3]Zirui Xu
DiReCtX: Dynamic Resource-Aware CNN Reconfiguration Framework for Real-Time Mobile Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(2): 246-259 (2021) - [j2]Fuxun Yu
REIN the RobuTS: Robust DNN-Based Image Recognition in Autonomous Driving Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1258-1271 (2021) - [c20]Zirui Xu, Fuxun Yu, Jinjun Xiong
Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration. DAC 2021: 997-1002 - [c19]Fuxun Yu, Shawn Bray, Di Wang, Longfei Shangguan, Xulong Tang
Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU. ICCAD 2021: 1-9 - [c18]Fuxun Yu, Weishan Zhang
Fed2: Feature-Aligned Federated Learning. KDD 2021: 2066-2074 - [i25]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 abs/2110.11489 (2021) - [i24]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 abs/2111.14247 (2021) - [i23]Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen:
Fed2: Feature-Aligned Federated Learning. CoRR abs/2111.14248 (2021) - [i22]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 abs/2111.14255 (2021) - 2020
- [c17]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: 301-306 - [c16]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: 470-475 - [c15]Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen:
AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. DATE 2020: 951-956 - [c14]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: 1097-1102 - [c13]Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen:
Exploring the Design Space of Efficient Deep Neural Networks. SEC 2020: 317-318 - [c12]Chenchen Liu, Fuxun Yu, Zhuwei Qin, Xiang Chen:
Enabling efficient ReRAM-based neural network computing via crossbar structure adaptive optimization. ISLPED 2020: 133-138 - [i21]Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen:
AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. CoRR abs/2008.06543 (2020) - [i20]Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen:
Heterogeneous Federated Learning. CoRR abs/2008.06767 (2020) - [i19]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 abs/2011.03897 (2020) - [i18]Zirui Xu, Jinjun Xiong, Fuxun Yu, Xiang Chen:
Efficient Neural Network Implementation with Quadratic Neuron. CoRR abs/2011.10813 (2020) - [i17]Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen:
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks. CoRR abs/2011.10912 (2020)
2010 – 2019
- 2019
- [c11]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: 444-449 - [c10]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: 456-461 - [c9]Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen:
HAMPER: high-performance adaptive mobile security enhancement against malicious speech and image recognition. ASP-DAC 2019: 512-517 - [c8]Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen:
Functionality-Oriented Convolutional Filter Pruning. BMVC 2019: 92 - [c7]Fuxun Yu, Zirui Xu, Chenchen Liu, Xiang Chen:
MASKER: Adaptive Mobile Security Enhancement against Automatic Speech Recognition in Eavesdropping. DAC 2019: 163 - [c6]Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen:
ReForm: Static and Dynamic Resource-Aware DNN Reconfiguration Framework for Mobile Device. DAC 2019: 183 - [c5]Zhuwei Qin, Fuxun Yu, Xiang Chen:
Task-adaptive incremental learning for intelligent edge devices. SEC 2019: 340-341 - [c4]Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen:
Interpreting and Evaluating Neural Network Robustness. IJCAI 2019: 4199-4205 - [c3]Junxiang Wang
ADMM for Efficient Deep Learning with Global Convergence. KDD 2019: 111-119 - [i16]Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen:
Interpreting and Evaluating Neural Network Robustness. CoRR abs/1905.04270 (2019) - [i15]Zirui Xu, Fuxun Yu, Xiang Chen:
DoPa: A Fast and Comprehensive CNN Defense Methodology against Physical Adversarial Attacks. CoRR abs/1905.08790 (2019) - [i14]Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao:
ADMM for Efficient Deep Learning with Global Convergence. CoRR abs/1905.13611 (2019) - [i13]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 abs/1908.10017 (2019) - [i12]Zhuwei Qin, Fuxun Yu, Xiang Chen:
Task-Adaptive Incremental Learning for Intelligent Edge Devices. CoRR abs/1910.03122 (2019) - [i11]Zirui Xu, Fuxun Yu, Xiang Chen:
LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications. CoRR abs/1910.08536 (2019) - [i10]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 abs/1911.07158 (2019) - 2018
- [j1]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): 149-180 (2018) - [c2]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: 37:1-37:6 - [c1]Chenchen Liu, Qide Dong, Fuxun Yu, Xiang Chen:
ReRise: An Adversarial Example Restoration System for Neuromorphic Computing Security. ISVLSI 2018: 470-475 - [i9]Fuxun Yu, Qide Dong, Xiang Chen:
ASP: A Fast Adversarial Attack Example Generation Framework based on Adversarial Saliency Prediction. CoRR abs/1802.05763 (2018) - [i8]Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen:
How convolutional neural network see the world - A survey of convolutional neural network visualization methods. CoRR abs/1804.11191 (2018) - [i7]Fuxun Yu, Zirui Xu, Yanzhi Wang, Chenchen Liu, Xiang Chen:
Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients. CoRR abs/1805.09370 (2018) - [i6]Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen:
HASP: A High-Performance Adaptive Mobile Security Enhancement Against Malicious Speech Recognition. CoRR abs/1809.01697 (2018) - [i5]Fuxun Yu, Chenchen Liu, Yanzhi Wang, Liang Zhao, Xiang Chen:
Interpreting Adversarial Robustness: A View from Decision Surface in Input Space. CoRR abs/1810.00144 (2018) - [i4]Zhuwei Qin, Fuxun Yu, Chenchen Liu, Liang Zhao, Xiang Chen:
Interpretable Convolutional Filter Pruning. CoRR abs/1810.07322 (2018) - [i3]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 abs/1810.07378 (2018) - [i2]Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen:
Demystifying Neural Network Filter Pruning. CoRR abs/1811.02639 (2018) - [i1]Fuxun Yu, Zhuwei Qin, Xiang Chen:
Distilling Critical Paths in Convolutional Neural Networks. CoRR abs/1811.02643 (2018)
Coauthor Index
[c29] [c28] [i37] [i36] [i35] [j6] [c27] [i31] [i30] [i28] [j5] [j4] [c26] [c24] [c23] [c22] [c21] [i27] [i26] [j3] [j2] [c20] [c19] [c18] [i24] [i23] [i22] [c17] [c16] [c15] [c14] [c13] [c12] [i21] [i20] [i19] [i18] [i17] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [j1] [c2] [c1] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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last updated on 2024-12-13 20:05 CET by the dblp team
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