Publications

Found 546 results
Type [ Year(Asc)]
2021
B Wang, J Guo, A Li, Y Chen, and H Li. "Privacy-Preserving Representation Learning on Graphs." In Proceedings of the 27th Acm Sigkdd Conference on Knowledge Discovery &Amp; Data Mining. 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.
C Wang, D Feng, W Tong, J Liu, B Wu, and Y Chen. "Space-Time-Efficient Modeling of Large-Scale 3D Cross-Point Memory Arrays by Operation Adaption and Network Compaction." Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems (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.
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.
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.
Z Gan, X Chai, J Zhang, Y Zhang, and Y Chen. "An effective image compression–encryption scheme based on compressive sensing (CS) and game of life (GOL)." Neural Computing and Applications 32, no. 17 (2020): 14113-14141.
X Chai, X Fu, Z Gan, Y Zhang, Y Lu, and Y Chen. "An efficient chaos-based image compression and encryption scheme using block compressive sensing and elementary cellular automata." Neural Computing and Applications 32, no. 9 (2020): 4961-4988.
X Chai, H Wu, Z Gan, Y Zhang, Y Chen, and KW Nixon. "An efficient visually meaningful image compression and encryption scheme based on compressive sensing and dynamic LSB embedding." Optics and Lasers in Engineering 124 (2020).
S Wang, Y CAO, T Huang, Y Chen, and S Wen. "Event-triggered distributed control for synchronization of multiple memristive neural networks under cyber-physical attacks." Information Sciences 518 (2020): 361-375.
Z Xie, H Li, X Xu, J Hu, and Y Chen. "Fast IR Drop Estimation with Machine Learning : Invited Paper." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad. Vol. 2020-November. 2020.
Y Lan, KW Nixon, Q Guo, G Zhang, Y Xu, H Li, and Y Chen. "FCDM: A Methodology Based on Sensor Pattern Noise Fingerprinting for Fast Confidence Detection to Adversarial Attacks." Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems 39, no. 12 (2020): 4791-4804.
Z Xie, GQ Fang, YH Huang, H Ren, Y Zhang, B Khailany, SY Fang, J Hu, Y Chen, and EC Barboza. "FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning." In Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac, 19-25. Vol. 2020-January. 2020.

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