Publications

2018

Yu, S., C. Liu, W. Wen, and Y. Chen. “Special session on reliability and vulnerability of neuromorphic computing systems.” In Proceedings of the IEEE VLSI Test Symposium, 2018-April:1, 2018. https://doi.org/10.1109/VTS.2018.8368633.

Wang, D., L. Ma, M. Zhang, J. An, H. H. Li, and Y. Chen. “Shift-Optimized Energy-Efficient Racetrack-Based Main Memory.” Journal of Circuits Systems and Computers 27, no. 5 (May 1, 2018). https://doi.org/10.1142/S0218126618500810.

Li, B., F. Chen, W. Kang, W. Zhao, Y. Chen, and H. Li. “Design and Data Management for Magnetic Racetrack Memory.” In Proceedings IEEE International Symposium on Circuits and Systems, Vol. 2018-May, 2018. https://doi.org/10.1109/ISCAS.2018.8351681.

Yang, Q., H. Li, and Q. Wu. “A Quantized Training Method to Enhance Accuracy of ReRAM-based Neuromorphic Systems.” In Proceedings IEEE International Symposium on Circuits and Systems, Vol. 2018-May, 2018. https://doi.org/10.1109/ISCAS.2018.8351327.

Jiang, H., K. Yamada, Z. Ren, T. Kwok, F. Luo, Q. Yang, X. Zhang, et al. “Pulse-Width Modulation based Dot-Product Engine for Neuromorphic Computing System using Memristor Crossbar Array.” In Proceedings IEEE International Symposium on Circuits and Systems, Vol. 2018-May, 2018. https://doi.org/10.1109/ISCAS.2018.8351276.

Yan, B., F. Chen, Y. Zhang, C. Song, H. Li, and Y. Chen. “Exploring the opportunity of implementing neuromorphic computing systems with spintronic devices.” In Proceedings of the 2018 Design Automation and Test in Europe Conference and Exhibition Date 2018, 2018-January:109–12, 2018. https://doi.org/10.23919/DATE.2018.8341988.

Gauen, K., R. Dailey, Y. H. Lu, E. Park, W. Liu, A. C. Berg, and Y. Chen. “Three years of low-power image recognition challenge: Introduction to special session.” In Proceedings of the 2018 Design Automation and Test in Europe Conference and Exhibition Date 2018, 2018-January:700–703, 2018. https://doi.org/10.23919/DATE.2018.8342099.

Ji, H., L. Song, L. Jiang, H. H. Li, and Y. Chen. “Recom: An efficient resistive accelerator for compressed deep neural networks.” In Proceedings of the 2018 Design Automation and Test in Europe Conference and Exhibition Date 2018, 2018-January:237–40, 2018. https://doi.org/10.23919/DATE.2018.8342009.

Li, B., L. Song, F. Chen, X. Qian, Y. Chen, and H. Li. “ReRAM-based accelerator for deep learning.” In Proceedings of the 2018 Design Automation and Test in Europe Conference and Exhibition Date 2018, 2018-January:815–20, 2018. https://doi.org/10.23919/DATE.2018.8342118.

Zhang, L., W. Song, J. J. Yang, H. Li, and Y. Chen. “A compact model for selectors based on metal doped electrolyte.” Applied Physics A Materials Science and Processing 124, no. 4 (April 1, 2018). https://doi.org/10.1007/s00339-018-1706-2.

Song, L., Y. Zhuo, X. Qian, H. Li, and Y. Chen. “GraphR: Accelerating Graph Processing Using ReRAM.” In Proceedings International Symposium on High Performance Computer Architecture, 2018-February:531–43, 2018. https://doi.org/10.1109/HPCA.2018.00052.

Wang, P., S. Li, G. Sun, X. Wang, Y. Chen, H. Li, J. Cong, N. Xiao, and T. Zhang. “RC-NVM: Enabling Symmetric Row and Column Memory Accesses for In-memory Databases.” In Proceedings International Symposium on High Performance Computer Architecture, 2018-February:518–30, 2018. https://doi.org/10.1109/HPCA.2018.00051.

Ablikim, M., M. N. Achasov, S. Ahmed, M. Albrecht, A. Amoroso, F. F. An, Q. An, et al. “Measurement of e+e−→π0π0ψ(3686) at s from 4.009 to 4.600 GeV and observation of a neutral charmoniumlike structure.” Physical Review D 97, no. 5 (March 7, 2018). https://doi.org/10.1103/physrevd.97.052001.

Ablikim, M., M. N. Achasov, S. Ahmed, O. Albayrak, M. Albrecht, M. Alekseev, D. J. Ambrose, et al. “Study of η(1475) and X(1835) in radiative J/ψ decays to γϕ.” Physical Review D 97, no. 5 (March 6, 2018). https://doi.org/10.1103/physrevd.97.051101.

Chen, Y., H. Li, C. Wu, C. Song, S. Li, C. Min, H. P. Cheng, W. Wen, and X. Liu. “Neuromorphic computing's yesterday, today, and tomorrow – an evolutional view.” Integration 61 (March 1, 2018): 49–61. https://doi.org/10.1016/j.vlsi.2017.11.001.

Basu, A., J. Acharya, T. Karnik, H. Liu, H. Li, J. S. Seo, and C. Song. “Low-Power, Adaptive Neuromorphic Systems: Recent Progress and Future Directions.” IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8, no. 1 (March 1, 2018): 6–27. https://doi.org/10.1109/JETCAS.2018.2816339.

“Process variation aware data management for magnetic skyrmions racetrack memory.” In Proceedings of the Asia and South Pacific Design Automation Conference ASP DAC, 2018-January:221–26, 2018. https://doi.org/10.1109/ASPDAC.2018.8297309.

Li, B., W. Wen, J. Mao, S. Li, Y. Chen, and H. H. Li. “Running sparse and low-precision neural network: When algorithm meets hardware.” In Proceedings of the Asia and South Pacific Design Automation Conference ASP DAC, 2018-January:534–39, 2018. https://doi.org/10.1109/ASPDAC.2018.8297378.

Chen, F., L. Song, and Y. Chen. “ReGAN: A pipelined ReRAM-based accelerator for generative adversarial networks.” In Proceedings of the Asia and South Pacific Design Automation Conference ASP DAC, 2018-January:178–83, 2018. https://doi.org/10.1109/ASPDAC.2018.8297302.

Eken, E., I. Bayram, H. H. Li, and Y. Chen. “Modeling of biaxial magnetic tunneling junction for multi-level cell STT-RAM realization.” In Proceedings of the Asia and South Pacific Design Automation Conference ASP DAC, 2018-January:375–80, 2018. https://doi.org/10.1109/ASPDAC.2018.8297352.

Liu, X., W. Wen, X. Qian, H. Li, and Y. Chen. “Neu-NoC: A high-efficient interconnection network for accelerated neuromorphic systems.” In Proceedings of the Asia and South Pacific Design Automation Conference ASP DAC, 2018-January:141–46, 2018. https://doi.org/10.1109/ASPDAC.2018.8297296.

Jia, X., J. Yang, Z. Wang, Y. Chen, H. H. Li, and W. Zhao. “Spintronics based stochastic computing for efficient Bayesian inference system.” In Proceedings of the Asia and South Pacific Design Automation Conference ASP DAC, 2018-January:580–85, 2018. https://doi.org/10.1109/ASPDAC.2018.8297385.

“Understanding the trade-offs of device, circuit and application in ReRAM-based neuromorphic computing systems.” In Technical Digest International Electron Devices Meeting Iedm, 11.4.1-11.4.4, 2018. https://doi.org/10.1109/IEDM.2017.8268371.

Mohanty, S. P., M. Hüebner, C. J. Xue, X. Li, and H. Li. “Guest editorial circuit and system design automation for internet of things.” IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems 37, no. 1 (January 1, 2018): 3–6. https://doi.org/10.1109/TCAD.2017.2779960.

Dong, C., Y. Chen, and B. Zeng. “Generalized inverse optimization through online learning.” In Advances in Neural Information Processing Systems, 2018-December:86–95, 2018.