Found 626 results
Type [ Year(Asc)]
H Fang, B Taylor, Z Li, Z Mei, HH Li, and Q Qiu. "Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning." In Proceedings Design Automation Conference, 361-366. Vol. 2021-December. 2021.
C Wu, X Yang, H Yu, I Takeuchi, Y Chen, and M Li. "Optical generative adversarial network based on programmable phase-change photonics." In Optics Infobase Conference Papers. 2021.
W Hu, CH Chang, A Sengupta, S Bhunia, R Kastner, and H Li. "An Overview of Hardware Security and Trust: Threats, Countermeasures, and Design Tools." Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems 40, no. 6 (2021): 1010-1038.
S Zhang, H Li, and U Schlichtmann. "Peripheral Circuitry Assisted Mapping Framework for Resistive Logic-In-Memory Computing." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad. Vol. 2021-November. 2021.
L Fang, Y Chen, G Zhai, J Wang, R Wang, and W Dong. Preface. Vol. 13070 LNAI., 2021.
B Wang, J Guo, A Li, Y Chen, and H Li. "Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective." In Proceedings of the Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, 1667-1676. 2021.
F Chen, L Song, HH Li, and Y Chen. "RAISE: A Resistive Accelerator for Subject-Independent EEG Signal Classification." In Proceedings Design, Automation and Test in Europe, Date, 340-343. Vol. 2021-February. 2021.
Y Wang, Z Zhu, F Chen, M Ma, G Dai, H Li, and Y Chen. "REREC: In-ReRAM Acceleration with Access-Aware Mapping for Personalized Recommendation." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad. Vol. 2021-November. 2021.
B Sun, Y CAO, Z Guo, Z Yan, S Wen, T Huang, and Y Chen. "Sliding Mode Stabilization of Memristive Neural Networks With Leakage Delays and Control Disturbance." Ieee Transactions on Neural Networks and Learning Systems 32, no. 3 (2021): 1254-1263.
J Sun, A Li, B Wang, H Yang, H Li, and Y Chen. "Soteria: Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective." In Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, 9307-9315. 2021.
J Mao, H Yang, A Li, H Li, and Y Chen. "TPrune: Efficient Transformer Pruning for Mobile Devices." Acm Transactions on Cyber Physical Systems 5, no. 3 (2021).
NA Inkawhich, EK Davis, MJ Inkawhich, UK Majumder, and Y Chen. "Training SAR-ATR Models for Reliable Operation in Open-World Environments." Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 (2021): 3954-3966.
M Pang, B Wang, YM Cheung, Y Chen, and B Wen. "VD-GAN: A Unified Framework for Joint Prototype and Representation Learning from Contaminated Single Sample per Person." Ieee Transactions on Information Forensics and Security 16 (2021): 2246-2259.
Y Chen. "2020: Looking Forward to the Next Decade [From the Editor]." Ieee Circuits and Systems Magazine 20, no. 1 (2020).
B Li,, PP Pande, K Chakrabarty, JX Qiu, and HH Li. "3D-ReG: A 3D ReRAM-based Heterogeneous Architecture for Training Deep Neural Networks." Acm Journal on Emerging Technologies in Computing Systems 16, no. 2 (2020).
X Ye, P Dai, J Luo, X Guo, Y Qi, J Yang, and Y Chen. "Accelerating CNN Training by Pruning Activation Gradients." In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 322-338. Vol. 12370 LNCS. 2020.
L Song, F Chen, Y Zhuo, X Qian, H Li, and Y Chen. "AccPar: Tensor partitioning for heterogeneous deep learning accelerators." In Proceedings 2020 Ieee International Symposium on High Performance Computer Architecture, Hpca 2020, 342-355. 2020.
N Inkawhich, E Davis, U Majumder, C Capraro, and Y Chen. "Advanced techniques for robust SAR ATR: Mitigating noise and phase errors." In 2020 Ieee International Radar Conference, Radar 2020, 844-849. 2020.
C Song, HP Cheng, H Yang, S Li, C Wu, Q Wu, and H Li. "Adversarial Attack: A New Threat to Smart Devices and How to Defend It." Ieee Consumer Electronics Magazine 9, no. 4 (2020): 49-55.
W Wen, F Yan, Y Chen, and H Li. "AutoGrow: Automatic Layer Growing in Deep Convolutional Networks." In Proceedings of the Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, 833-841. 2020.
T Zhang, HP Cheng, Z Li, F Yan, C Huang, H Li, and Y Chen. "AutoShrink: A topology-aware NAS for discovering efficient neural architecture." In Aaai 2020 34th Aaai Conference on Artificial Intelligence, 6829-6836. 2020.
E Kurshan, H Li, M Seok, and Y Xie. "A Case for 3D Integrated System Design for Neuromorphic Computing and AI Applications." International Journal of Semantic Computing 14, no. 4 (2020): 457-475.
X Chai, J Bi, Z Gan, X Liu, Y Zhang, and Y Chen. "Color image compression and encryption scheme based on compressive sensing and double random encryption strategy." Signal Processing 176 (2020).
C Wu, and H Li. "Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-Quality Data for Training." In Proceedings of the International Joint Conference on Neural Networks. 2020.
X Xie, S Wen, Z Yan, T Huang, and Y Chen. "Designing pulse-coupled neural networks with spike-synchronization-dependent plasticity rule: image segmentation and memristor circuit application." Neural Computing and Applications 32, no. 17 (2020): 13441-13452.