Publications

2020

Chen, Y., D. Fan, Y. Wang, and S. Yamashita. “Editorial for the special issue on disruptive computing technologies.” CCF Transactions on High Performance Computing 2, no. 3 (September 1, 2020): 209–10. https://doi.org/10.1007/s42514-020-00048-3.

Wen, W., 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, 833–41, 2020. https://doi.org/10.1145/3394486.3403126.

Li, A., Y. Duan, H. Yang, Y. Chen, and J. Yang. “TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations.” In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 824–32, 2020. https://doi.org/10.1145/3394486.3403125.

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.

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.

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.

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. 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.

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.

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.

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.