Publications

Guo, Q., J. Ye, Y. Chen, Y. Hu, Y. Lan, G. Zhang, and X. Li. “INOR—An Intelligent noise reduction method to defend against adversarial audio examples.” Neurocomputing 401 (August 11, 2020): 160–72. https://doi.org/10.1016/j.neucom.2020.02.110.

Zhang, S., G. L. Zhang, B. Li, H. H. Li, and U. Schlichtmann. “Lifetime Enhancement for RRAM-based Computing-In-Memory Engine Considering Aging and Thermal Effects.” In Proceedings 2020 IEEE International Conference on Artificial Intelligence Circuits and Systems Aicas 2020, 11–15, 2020. https://doi.org/10.1109/AICAS48895.2020.9073995.

Yan, B., Z. Li, B. Taylor, H. Li, and Y. Chen. “Neuromorphic Computing Systems with Emerging Nonvolatile Memories: A Circuits and Systems Perspective.” In 2020 International Symposium on VLSI Technology Systems and Applications VLSI Tsa 2020, 122–23, 2020. https://doi.org/10.1109/VLSI-TSA48913.2020.9203744.

Yan, Zheng, Jiadong Chen, Rui Hu, Tingwen Huang, Yiran Chen, and Shiping Wen. “Training memristor-based multilayer neuromorphic networks with SGD, momentum and adaptive learning rates.” Neural Networks : The Official Journal of the International Neural Network Society 128 (August 2020): 142–49. https://doi.org/10.1016/j.neunet.2020.04.025.

Li, Z., B. Yan, and H. H. Li. “ReSiPE: ReRAM-based single-spiking processing-in-memory engine.” In Proceedings Design Automation Conference, Vol. 2020-July, 2020. https://doi.org/10.1109/DAC18072.2020.9218578.

Song, C., H. P. 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 (July 1, 2020): 49–55. https://doi.org/10.1109/MCE.2020.2969150.

Kim, B., and H. Li. “Leveraging 3D vertical RRAM to developing neuromorphic architecture for pattern classification.” In Proceedings of IEEE Computer Society Annual Symposium on VLSI Isvlsi, 2020-July:258–63, 2020. https://doi.org/10.1109/ISVLSI49217.2020.00054.

Wu, C., 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. https://doi.org/10.1109/IJCNN48605.2020.9207546.

Wen, S., H. Wei, Z. Yan, Z. Guo, Y. Yang, T. Huang, and Y. Chen. “Memristor-Based Design of Sparse Compact Convolutional Neural Network.” IEEE Transactions on Network Science and Engineering 7, no. 3 (July 1, 2020): 1431–40. https://doi.org/10.1109/TNSE.2019.2934357.

Wu, C., B. Ni, and H. Li. “Redistributing and Re-Stylizing Features for Training a Fast Photorealistic Stylizer.” In Proceedings of the International Joint Conference on Neural Networks, 2020. https://doi.org/10.1109/IJCNN48605.2020.9207095.

Dai, P., J. Yang, X. Ye, X. Cheng, J. Luo, L. Song, Y. Chen, and W. Zhao. “SparseTrain: Exploiting dataflow sparsity for efficient convolutional neural networks training.” In Proceedings Design Automation Conference, Vol. 2020-July, 2020. https://doi.org/10.1109/DAC18072.2020.9218710.

Zheng, Q., Z. Wang, Z. Feng, B. Yan, Y. Cai, R. Huang, Y. Chen, C. L. Yang, and H. H. Li. “Lattice: An ADC/DAC-less ReRAM-based processing-in-memory architecture for accelerating deep convolution neural networks.” In Proceedings Design Automation Conference, Vol. 2020-July, 2020. https://doi.org/10.1109/DAC18072.2020.9218590.

Chai, X., X. Zheng, Z. Gan, and Y. Chen. “Exploiting plaintext-related mechanism for secure color image encryption.” Neural Computing and Applications 32, no. 12 (June 1, 2020): 8065–88. https://doi.org/10.1007/s00521-019-04312-8.

Yang, H., M. Tang, W. Wen, F. Yan, D. Hu, A. Li, H. Li, and Y. Chen. “Learning low-rank deep neural networks via singular vector orthogonality regularization and singular value sparsification.” In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2020-June:2899–2908, 2020. https://doi.org/10.1109/CVPRW50498.2020.00347.

Chai, X., H. Wu, Z. Gan, Y. Zhang, and Y. Chen. “Hiding cipher-images generated by 2-D compressive sensing with a multi-embedding strategy.” Signal Processing 171 (June 1, 2020). https://doi.org/10.1016/j.sigpro.2020.107525.

Chai, X., 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 (May 1, 2020): 4961–88. https://doi.org/10.1007/s00521-018-3913-3.

Zhang, J., J. Huang, M. Deisher, H. Li, and Y. Chen. “Structural sparsification for far-field speaker recognition with intel R GNA.” In ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2020-May:3037–41, 2020. https://doi.org/10.1109/ICASSP40776.2020.9054569.

Wang, S., 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 (May 1, 2020): 361–75. https://doi.org/10.1016/j.ins.2020.01.022.

Challapalle, N., S. Rampalli, L. Song, N. Chandramoorthy, K. Swaminathan, J. Sampson, Y. Chen, and V. Narayanan. “GaaS-X: Graph Analytics Accelerator Supporting Sparse Data Representation using Crossbar Architectures.” In Proceedings International Symposium on Computer Architecture, 2020-May:433–45, 2020. https://doi.org/10.1109/ISCA45697.2020.00044.

Jia, X., J. Yang, P. Dai, R. Liu, Y. Chen, and W. Zhao. “SPINBIS: Spintronics-based Bayesian inference system with stochastic computing.” IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems 39, no. 4 (April 1, 2020): 789–802. https://doi.org/10.1109/TCAD.2019.2897631.

Inkawhich, N., 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, 844–49, 2020. https://doi.org/10.1109/RADAR42522.2020.9114784.

Zhang, G., B. Li, J. Wu, R. Wang, Y. Lan, L. Sun, S. Lei, H. Li, and Y. Chen. “A low-cost and high-speed hardware implementation of spiking neural network.” Neurocomputing 382 (March 21, 2020): 106–15. https://doi.org/10.1016/j.neucom.2019.11.045.

Sun, B., S. Wen, S. Wang, T. Huang, Y. Chen, and P. Li. “Quantized synchronization of memristive neural networks with time-varying delays via super-twisting algorithm.” Neurocomputing 380 (March 7, 2020): 133–40. https://doi.org/10.1016/j.neucom.2019.11.003.

Chen, Y., Y. Xie, L. Song, F. Chen, and T. Tang. “A Survey of Accelerator Architectures for Deep Neural Networks.” Engineering 6, no. 3 (March 1, 2020): 264–74. https://doi.org/10.1016/j.eng.2020.01.007.

Wang, Y., F. Chen, L. Song, C. J. Richard Shi, H. H. Li, and Y. Chen. “ReBoc: Accelerating Block-Circulant Neural Networks in ReRAM.” In Proceedings of the 2020 Design Automation and Test in Europe Conference and Exhibition Date 2020, 1472–77, 2020. https://doi.org/10.23919/DATE48585.2020.9116422.