| Low-power computer vision: Status, challenges, and opportunities S Alyamkin, M Ardi, AC Berg, A Brighton, B Chen, Y Chen, HP Cheng, ... IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9 (2 …, 2019 | 97 | 2019 |
| Ordering chaos: Memory-aware scheduling of irregularly wired neural networks for edge devices BH Ahn, J Lee, JM Lin, HP Cheng, J Hou, H Esmaeilzadeh Proceedings of Machine Learning and Systems 2, 44-57, 2020 | 63 | 2020 |
| Neuromorphic computing's yesterday, today, and tomorrow–an evolutional view Y Chen, HH Li, C Wu, C Song, S Li, C Min, HP Cheng, W Wen, X Liu Integration 61, 49-61, 2018 | 43 | 2018 |
| MAT: A multi-strength adversarial training method to mitigate adversarial attacks C Song, HP Cheng, H Yang, S Li, C Wu, Q Wu, Y Chen, H Li 2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 476-481, 2018 | 36 | 2018 |
| Understanding the design of IBM neurosynaptic system and its tradeoffs: A user perspective HP Cheng, W Wen, C Wu, S Li, HH Li, Y Chen Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017 | 36 | 2017 |
| Towards decentralized deep learning with differential privacy HP Cheng, P Yu, H Hu, S Zawad, F Yan, S Li, H Li, Y Chen International Conference on Cloud Computing, 130-145, 2019 | 35 | 2019 |
| LEASGD: An efficient and privacy-preserving decentralized algorithm for distributed learning HP Cheng, P Yu, H Hu, F Yan, S Li, H Li, Y Chen arXiv preprint arXiv:1811.11124, 2018 | 25 | 2018 |
| NASGEM: Neural architecture search via graph embedding method HP Cheng, T Zhang, Y Zhang, S Li, F Liang, F Yan, M Li, V Chandra, H Li, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7090-7098, 2021 | 22 | 2021 |
| Msnet: Structural wired neural architecture search for internet of things HP Cheng, T Zhang, Y Yang, F Yan, H Teague, Y Chen, H Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 22 | 2019 |
| Adversarial attack: A new threat to smart devices and how to defend it C Song, HP Cheng, H Yang, S Li, C Wu, Q Wu, H Li IEEE Consumer Electronics Magazine 9 (4), 49-55, 2020 | 18 | 2020 |
| 2018 low-power image recognition challenge S Alyamkin, M Ardi, A Brighton, AC Berg, Y Chen, HP Cheng, B Chen, ... arXiv preprint arXiv:1810.01732, 2018 | 17 | 2018 |
| ApesNet: a pixel‐wise efficient segmentation network for embedded devices C Wu, HP Cheng, S Li, H Li, Y Chen IET Cyber‐Physical Systems: Theory & Applications 1 (1), 78-85, 2016 | 16 | 2016 |
| Differentiable fine-grained quantization for deep neural network compression HP Cheng, Y Huang, X Guo, Y Huang, F Yan, H Li, Y Chen arXiv preprint arXiv:1810.10351, 2018 | 14 | 2018 |
| Autoshrink: A topology-aware nas for discovering efficient neural architecture T Zhang, HP Cheng, Z Li, F Yan, C Huang, H Li, Y Chen Proceedings of the AAAI conference on artificial intelligence 34 (04), 6829-6836, 2020 | 13 | 2020 |
| Exploring the optimal learning technique for IBM TrueNorth platform to overcome quantization loss HP Cheng, W Wen, C Song, B Liu, H Li, Y Chen 2016 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH …, 2016 | 12 | 2016 |
| ApesNet: a pixel-wise efficient segmentation network C Wu, HP Cheng, S Li, HH Li, Y Chen Proceedings of the 14th ACM/IEEE Symposium on Embedded Systems for Real-Time …, 2016 | 10 | 2016 |
| Scalenas: One-shot learning of scale-aware representations for visual recognition HP Cheng, F Liang, M Li, B Cheng, F Yan, H Li, V Chandra, Y Chen arXiv preprint arXiv:2011.14584, 2020 | 9 | 2020 |
| Bamboo: Ball-shape data augmentation against adversarial attacks from all directions H Yang, J Zhang, HP Cheng, W Wang, Y Chen, H Li | 7 | 2019 |
| Learning efficient sparse structures in speech recognition J Zhang, W Wen, M Deisher, HP Cheng, H Li, Y Chen ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 6 | 2019 |
| ScaleNAS: Multi-path one-shot NAS for scale-aware high-resolution representation HP Cheng, F Liang, M Li, B Cheng, F Yan, H Li, V Chandra, Y Chen International Conference on Automated Machine Learning, 15/1-18, 2022 | 5 | 2022 |
Yiran ChenJohn Cocke Distinguished Professor of Electrical and Computer Engineering, Duke UniversityVerified email at duke.edu
