Publications

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.

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.

Joardar, B. K., N. Kannappan Jayakodi, J. R. Doppa, H. Li, P. P. Pande, and K. Chakrabarty. “GRAMARCH: A GPU-ReRAM based Heterogeneous Architecture for Neural Image Segmentation.” In Proceedings of the 2020 Design Automation and Test in Europe Conference and Exhibition Date 2020, 228–33, 2020. https://doi.org/10.23919/DATE48585.2020.9116273.

Zhang, S., B. Li, H. H. Li, and U. Schlichtmann. “A Pulse-width Modulation Neuron with Continuous Activation for Processing-In-Memory Engines.” In Proceedings of the 2020 Design Automation and Test in Europe Conference and Exhibition Date 2020, 1426–31, 2020. https://doi.org/10.23919/DATE48585.2020.9116323.

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.

Song, L., 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, 342–55, 2020. https://doi.org/10.1109/HPCA47549.2020.00036.

Li, B., J. R. Doppa, P. P. Pande, K. Chakrabarty, J. X. Qiu, and H. H. 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 (January 29, 2020). https://doi.org/10.1145/3375699.

Song, L., F. Chen, Y. Chen, and H. H. Li. “Parallelism in Deep Learning Accelerators.” In Proceedings of the Asia and South Pacific Design Automation Conference ASP DAC, 2020-January:645–50, 2020. https://doi.org/10.1109/ASP-DAC47756.2020.9045206.

Xie, Z., H. Ren, B. Khailany, Y. Sheng, S. Santosh, J. Hu, and Y. Chen. “PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network.” In Proceedings of the Asia and South Pacific Design Automation Conference ASP DAC, 2020-January:13–18, 2020. https://doi.org/10.1109/ASP-DAC47756.2020.9045574.

Inkawhich, N., K. J. Liang, B. Wang, M. Inkawhich, L. Carin, and Y. Chen. “Perturbing across the feature hierarchy to improve standard and strict blackbox attack transferability.” In Advances in Neural Information Processing Systems, Vol. 2020-December, 2020.

Zhang, T., H. P. 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, 6829–36, 2020.

Yang, C., H. Li, Y. Chen, and J. Hu. “Enhancing Generalization of Wafer Defect Detection by Data Discrepancy-aware Preprocessing and Contrast-varied Augmentation.” In Proceedings of the Asia and South Pacific Design Automation Conference ASP DAC, 2020-January:145–50, 2020. https://doi.org/10.1109/ASP-DAC47756.2020.9045391.

Ye, X., 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, 12370 LNCS:322–38, 2020. https://doi.org/10.1007/978-3-030-58595-2_20.

Li, S., E. Hanson, H. Li, and Y. Chen. “PENNI: Pruned kernel sharing for efficient cnn inference.” In 37th International Conference on Machine Learning Icml 2020, PartF168147-8:5819–29, 2020.

Chen, Y. “2020: Looking Forward to the Next Decade [From the Editor].” IEEE Circuits and Systems Magazine 20, no. 1 (January 1, 2020): 3. https://doi.org/10.1109/MCAS.2019.2962260.

Ho, T. Y., S. Tan, and Y. Chen. “Message from the Technical Program Committee.” In Proceedings of the Asia and South Pacific Design Automation Conference ASP DAC, 2020-January:2, 2020. https://doi.org/10.1109/ASP-DAC47756.2020.9045704.

Taylor, B., Z. Li, B. Yan, H. Li, and Y. Chen. “Highly efficient neuromorphic computing systems with emerging nonvolatile memories.” In Proceedings of SPIE the International Society for Optical Engineering, Vol. 11324, 2020. https://doi.org/10.1117/12.2554915.

Wen, W., H. Liu, Y. Chen, H. Li, G. Bender, and P. J. Kindermans. “Neural Predictor for Neural Architecture Search.” In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 12374 LNCS:660–76, 2020. https://doi.org/10.1007/978-3-030-58526-6_39.

Inkawhich, N., K. J. Liang, L. Carin, and Y. Chen. “TRANSFERABLE PERTURBATIONS OF DEEP FEATURE DISTRIBUTIONS.” In 8th International Conference on Learning Representations Iclr 2020, 2020.

Li, A., H. Yang, and Y. Chen. “Task-Agnostic Privacy-Preserving Representation Learning via Federated Learning.” In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 12500 LNCS:51–65, 2020. https://doi.org/10.1007/978-3-030-63076-8_4.

Chai, X., H. Wu, Z. Gan, Y. Zhang, Y. Chen, and K. W. Nixon. “An efficient visually meaningful image compression and encryption scheme based on compressive sensing and dynamic LSB embedding.” Optics and Lasers in Engineering 124 (January 1, 2020). https://doi.org/10.1016/j.optlaseng.2019.105837.