How convolutional neural network see the world-A survey of convolutional neural network visualization methods Z Qin, F Yu, C Liu, X Chen Journal of Mathematical Foundations of Computing 1, 149–180, 2018 | 278 | 2018 |
Helios: heterogeneity-aware federated learning with dynamically balanced collaboration Z Xu, F Yu, J Xiong, X Chen 2021 58th ACM/IEEE Design Automation Conference (DAC), 997-1002, 2021 | 131* | 2021 |
Interpreting and Evaluating Neural Network Robustness F Yu, Z Qin, C Liu, L Zhao, Y Wang, X Chen [IJCAI'19] Proceedings of the 28th International Joint Conference on …, 2019 | 117* | 2019 |
Fed2: Feature-Aligned Federated Learning F Yu, W Zhang, Z Qin, Z Xu, D Wang, C Liu, Z Tian, X Chen [KDD'21] Proceedings of the 27th ACM SIGKDD Conference on Knowledge …, 2021 | 89* | 2021 |
SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection F Yu, D Wang, Y Chen, N Karianakis, T Shen, P Yu, D Lymberopoulos, ... [WACV'22] Proceedings of the Winter Conference on Applications of Computer …, 0 | 74* | |
ADMM for Efficient Deep Learning with Global Convergence J Wang, F Yu, X Chen, L Zhao [KDD'19] 25th ACM SIGKDD Conference on Knowledge Discover and Data Mining, 2019 | 67 | 2019 |
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation X Ma, G Yuan, S Lin, C Ding, F Yu, T Liu, W Wen, X Chen, Y Wang [ASP-DAC'20] Proceedings of the 25th Asia and South Pacific Design …, 2019 | 57 | 2019 |
Progressive weight pruning of deep neural networks using ADMM S Ye, T Zhang, K Zhang, J Li, K Xu, Y Yang, F Yu, J Tang, M Fardad, S Liu, ... arXiv preprint arXiv:1810.07378, 2018 | 53 | 2018 |
Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU F Yu, S Bray, D Wang, L Shangguan, X Tang, C Liu, X Chen [ICCAD'21] Proceedings of the 40th IEEE International Conference on Computer …, 2021 | 38 | 2021 |
ReForm: Static and Dynamic Resource-Aware DNN Reconfiguration Framework for Mobile Device Z Xu, F Yu, C Liu, X Chen [DAC'19] Proceedings of the 56th Annual Design Automation Conference 2019, 183, 2019 | 38 | 2019 |
DC-CNN: computational flow redefinition for efficient CNN through structural decoupling F Yu, Z Qin, D Wang, P Xu, C Liu, Z Tian, X Chen [DATE'20] 2020 Design, Automation & Test in Europe Conference & Exhibition …, 2020 | 33* | 2020 |
LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications Z Xu, F Yu, X Chen [ASP-DAC'20] 2020 25th Asia and South Pacific Design Automation Conference …, 2020 | 28* | 2020 |
A Survey of Multi-Tenant Deep Learning Inference on GPU F Yu, D Wang, L Shangguan, M Zhang, C Liu, X Chen The MLSys'22 Workshop on Cloud Intelligence / AIOps, 2022 | 26 | 2022 |
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration Z Xu, F Yu, J Xiong, X Chen [MLSYS'22] The Fifth Conference on Machine Learning and Systems, 2022 | 22* | 2022 |
Functionality-Oriented Convolutional Filter Pruning Z Qin, F Yu, C Liu, X Chen [BMVC'19] The British Machine Vision Conference, 2019 | 18* | 2019 |
DiReCt: Resource-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems Z Xu, Z Qin, F Yu, C Liu, X Chen [ISLPED'18] Proceedings of the International Symposium on Low Power …, 2018 | 17 | 2018 |
REIN the RobuTS: Robust DNN-based Image Recognition in Autonomous Driving Systems F Yu, Z Qin, C Liu, D Wang, X Chen IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 0 | 17* | |
DiReCtX: Dynamic Resource-Aware CNN Reconfiguration Framework for Real-Time Mobile Applications Z Xu, F Yu, Z Qin, C Liu, X Chen [TCAD'20] IEEE Transactions on Computer-Aided Design of Integrated Circuits …, 2020 | 15 | 2020 |
Supporting Massive DLRM Inference Through Software Defined Memory EK Ardestani, C Kim, SJ Lee, L Pan, V Rampersad, J Axboe, B Agrawal, ... [ICDCS'22] 42nd IEEE International Conference on Distributed Computing Systems, 2021 | 14 | 2021 |
Towards latency-aware dnn optimization with gpu runtime analysis and tail effect elimination F Yu, Z Xu, T Shen, D Stamoulis, L Shangguan, D Wang, R Madhok, ... arXiv preprint arXiv:2011.03897, 2020 | 14 | 2020 |