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Geng Yuan
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CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices
C Ding, S Liao, Y Wang, Z Li, N Liu, Y Zhuo, C Wang, X Qian, Y Bai, ...
Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017
3072017
Efficientformer: Vision transformers at mobilenet speed
Y Li, G Yuan, Y Wen, J Hu, G Evangelidis, S Tulyakov, Y Wang, J Ren
Advances in Neural Information Processing Systems 35, 12934-12949, 2022
1522022
Yolobile: Real-time object detection on mobile devices via compression-compilation co-design
Y Cai, H Li, G Yuan, W Niu, Y Li, X Tang, B Ren, Y Wang
Proceedings of the AAAI conference on artificial intelligence 35 (2), 955-963, 2021
932021
Spvit: Enabling faster vision transformers via latency-aware soft token pruning
Z Kong, P Dong, X Ma, X Meng, W Niu, M Sun, X Shen, G Yuan, B Ren, ...
European Conference on Computer Vision, 620-640, 2022
89*2022
Non-structured DNN weight pruning—Is it beneficial in any platform?
X Ma, S Lin, S Ye, Z He, L Zhang, G Yuan, SH Tan, Z Li, D Fan, X Qian, ...
IEEE transactions on neural networks and learning systems 33 (9), 4930-4944, 2021
812021
FORMS: Fine-grained polarized ReRAM-based in-situ computation for mixed-signal DNN accelerator
G Yuan, P Behnam, Z Li, A Shafiee, S Lin, X Ma, H Liu, X Qian, ...
2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021
542021
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
2020 25th Asia and South Pacific design automation conference (ASP-DAC), 301-306, 2020
542020
An ultra-efficient memristor-based DNN framework with structured weight pruning and quantization using ADMM
G Yuan, X Ma, C Ding, S Lin, T Zhang, ZS Jalali, Y Zhao, L Jiang, ...
2019 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2019
542019
Sanity checks for lottery tickets: Does your winning ticket really win the jackpot?
X Ma, G Yuan, X Shen, T Chen, X Chen, X Chen, N Liu, M Qin, S Liu, ...
Advances in Neural Information Processing Systems 34, 12749-12760, 2021
532021
Teachers do more than teach: Compressing image-to-image models
Q Jin, J Ren, OJ Woodford, J Wang, G Yuan, Y Wang, S Tulyakov
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
512021
Towards ultra-high performance and energy efficiency of deep learning systems: an algorithm-hardware co-optimization framework
Y Wang, C Ding, Z Li, G Yuan, S Liao, X Ma, B Yuan, X Qian, J Tang, ...
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
442018
Resnet can be pruned 60×: Introducing network purification and unused path removal (p-rm) after weight pruning
X Ma, G Yuan, S Lin, Z Li, H Sun, Y Wang
2019 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 1-2, 2019
392019
Achieving on-mobile real-time super-resolution with neural architecture and pruning search
Z Zhan, Y Gong, P Zhao, G Yuan, W Niu, Y Wu, T Zhang, M Jayaweera, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
342021
Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, et al. Mest: Accurate and fast memory-economic sparse training framework on the edge
G Yuan, X Ma, W Niu, Z Li
Advances in Neural Information Processing Systems 34 (20838-20850), 2, 2021
332021
Mest: Accurate and fast memory-economic sparse training framework on the edge
G Yuan, X Ma, W Niu, Z Li, Z Kong, N Liu, Y Gong, Z Zhan, C He, Q Jin, ...
Advances in Neural Information Processing Systems 34, 20838-20850, 2021
312021
Improving DNN fault tolerance using weight pruning and differential crossbar mapping for ReRAM-based edge AI
G Yuan, Z Liao, X Ma, Y Cai, Z Kong, X Shen, J Fu, Z Li, C Zhang, H Peng, ...
2021 22nd International Symposium on Quality Electronic Design (ISQED), 135-141, 2021
282021
SparCL: Sparse continual learning on the edge
Z Wang, Z Zhan, Y Gong, G Yuan, W Niu, T Jian, B Ren, S Ioannidis, ...
Advances in Neural Information Processing Systems 35, 20366-20380, 2022
272022
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
N Liu, G Yuan, Z Che, X Shen, X Ma, Q Jin, J Ren, J Tang, S Liu, Y Wang
International Conference on Machine Learning, 7011-7020, 2021
272021
Npas: A compiler-aware framework of unified network pruning and architecture search for beyond real-time mobile acceleration
Z Li, G Yuan, W Niu, P Zhao, Y Li, Y Cai, X Shen, Z Zhan, Z Kong, Q Jin, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
272021
Structured weight matrices-based hardware accelerators in deep neural networks: Fpgas and asics
C Ding, A Ren, G Yuan, X Ma, J Li, N Liu, B Yuan, Y Wang
Proceedings of the 2018 on Great Lakes Symposium on VLSI, 353-358, 2018
262018
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