Publications

Zhang, P., C. Li, T. Huang, L. Chen, and Y. Chen. “Forgetting memristor based neuromorphic system for pattern training and recognition.” Neurocomputing 222 (January 26, 2017): 47–53. https://doi.org/10.1016/j.neucom.2016.10.012.

Li, H. H., P. Ghosal, and T. Theocharides. “Message from the Technical Program Chairs.” In Proceedings 2016 IEEE International Symposium on Nanoelectronic and Information Systems Inis 2016, xiii–xiv, 2017. https://doi.org/10.1109/iNIS.2016.007.

Chen, Y. C., Y. Wang, W. Zhang, Y. Chen, and H. H. Li. “In-place logic obfuscation for emerging nonvolatile FPGAs.” In Fundamentals of Ip and Soc Security Design Verification and Debug, 277–93, 2017. https://doi.org/10.1007/978-3-319-50057-7_11.

Li, Hai. “Conventional and Neuromorphic Systems Leveraging Emerging Memory Technologies.” In 2017 INTERNATIONAL SYMPOSIUM ON VLSI DESIGN, AUTOMATION AND TEST (VLSI-DAT). IEEE, 2017.

Wen, W., C. Xu, F. Yan, C. Wu, Y. Wang, Y. Chen, and H. Li. “TernGrad: Ternary gradients to reduce communication in distributed deep learning.” In Advances in Neural Information Processing Systems, 2017-December:1510–20, 2017.

Yang, C., H. Li, and Y. Chen. “Nanoscale memory architectures for neuromorphic computing.” In Security Opportunities in Nano Devices and Emerging Technologies, 215–34, 2017. https://doi.org/10.1201/9781315265056.

Chai, X., Y. Chen, and L. Broyde. “A novel chaos-based image encryption algorithm using DNA sequence operations.” Optics and Lasers in Engineering 88 (January 1, 2017): 197–213. https://doi.org/10.1016/j.optlaseng.2016.08.009.

Li, H., and Y. Chen. Nonvolatile memory design: Magnetic, resistive, and phase change, 2017. https://doi.org/10.1201/b11354.

Park, J., H. Li, S. Li, W. Wen, Y. Chen, P. T. P. Tang, and P. Dubey. “Faster cnns with direct sparse convolutions and guided pruning.” In 5th International Conference on Learning Representations Iclr 2017 Conference Track Proceedings, 2017.

Li, H. H., Y. Chen, C. Liu, J. P. Strachan, and N. Davila. “Looking Ahead for Resistive Memory Technology: A broad perspective on ReRAM technology for future storage and computing.” IEEE Consumer Electronics Magazine 6, no. 1 (January 1, 2017): 94–103. https://doi.org/10.1109/MCE.2016.2614523.

Yan, B., Z. Li, Y. Chen, and H. Li. “RAM and TCAM designs by using STT-MRAM.” In 2016 16th Non Volatile Memory Technology Symposium Nvmts 2016, 18–22, 2016. https://doi.org/10.1109/NVMTS.2016.7781514.

Wu, Chunpeng, Hsin‐Pai Cheng, Sicheng Li, Hai Helen Li, and Yiran Chen. “ApesNet: a pixel‐wise efficient segmentation network for embedded devices.” IET Cyber-Physical Systems: Theory & Applications 1, no. 1 (December 2016): 78–85. https://doi.org/10.1049/iet-cps.2016.0027.

Gu, S., E. H. M. Sha, Q. Zhuge, Y. Chen, and J. Hu. “A Time, Energy, and Area Efficient Domain Wall Memory-Based SPM for Embedded Systems.” IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems 35, no. 12 (December 1, 2016): 2008–17. https://doi.org/10.1109/TCAD.2016.2547903.

Song, C., B. Liu, C. Liu, H. Li, and Y. Chen. “Design techniques of eNVM-enabled neuromorphic computing systems.” In Proceedings of the 34th IEEE International Conference on Computer Design Iccd 2016, 674–77, 2016. https://doi.org/10.1109/ICCD.2016.7753356.

Liu, C., Y. Chen, and H. Li. “Neural processor design enabled by memristor technology.” In 2016 IEEE International Conference on Rebooting Computing Icrc 2016 Conference Proceedings, 2016. https://doi.org/10.1109/ICRC.2016.7738693.

Nixon, K. W., X. Chen, and Y. Chen. “Scope - Quality retaining display rendering workload scaling based on user-smartphone distance.” In IEEE ACM International Conference on Computer Aided Design Digest of Technical Papers Iccad, Vol. 07-10-November-2016, 2016. https://doi.org/10.1145/2966986.2967073.

Yang, C., B. Liu, H. Li, Y. Chen, W. Wen, M. Barnell, Q. Wu, and J. Rajendran. “Security of neuromorphic computing: Thwarting learning attacks using memristor's obsolescence effect.” In IEEE ACM International Conference on Computer Aided Design Digest of Technical Papers Iccad, Vol. 07-10-November-2016, 2016. https://doi.org/10.1145/2966986.2967074.

Yang, C., C. Wu, H. Li, Y. Chen, M. Barnell, and Q. Wu. “Security challenges in smart surveillance systems and the solutions based on emerging nano-devices.” In IEEE ACM International Conference on Computer Aided Design Digest of Technical Papers Iccad, Vol. 07-10-November-2016, 2016. https://doi.org/10.1145/2966986.2980092.

Li, S., Y. Wang, W. Wen, Y. Chen, and H. Li. “A data locality-aware design framework for reconfigurable sparse matrix-vector multiplication kernel.” In IEEE ACM International Conference on Computer Aided Design Digest of Technical Papers Iccad, Vol. 07-10-November-2016, 2016. https://doi.org/10.1145/2966986.2966987.

Sun, G., C. Zhang, P. Li, T. Wang, and Y. Chen. “Statistical Cache Bypassing for Non-Volatile Memory.” IEEE Transactions on Computers 65, no. 11 (November 1, 2016): 3427–40. https://doi.org/10.1109/TC.2016.2529621.

Guo, J., C. Min, T. Cai, and Y. Chen. “A design to reduce write amplification in object-based NAND flash devices.” In Proceedings of the 11th IEEE ACM IFIP International Conference on Hardware Software Codesign and System Synthesis Codes 2016, 2016. https://doi.org/10.1145/2968456.2968465.

Chai, X. L., Z. H. Gan, Y. Lu, M. H. Zhang, and Y. R. Chen. “A novel color image encryption algorithm based on genetic recombination and the four-dimensional memristive hyperchaotic system.” Chinese Physics B 25, no. 10 (October 1, 2016). https://doi.org/10.1088/1674-1056/25/10/100503.

Li, H. H., Q. Qiu, and Y. Wang. “Guest Editorial: Design and Applications of Neuromorphic Computing System.” IEEE Transactions on Multi Scale Computing Systems 2, no. 4 (October 1, 2016): 223–24. https://doi.org/10.1109/TMSCS.2016.2631918.

Wu, C., H. P. Cheng, S. Li, H. H. Li, and Y. Chen. “ApesNet: A pixel-wise efficient segmentation network.” In Proceedings of the 14th ACM IEEE Symposium on Embedded Systems for Real Time Multimedia Estimedia 2016, 2–8, 2016. https://doi.org/10.1145/2993452.2994306.

Cheng, H. P., W. Wen, C. Song, B. Liu, H. Li, and Y. Chen. “Exploring the optimal learning technique for IBM TrueNorth platform to overcome quantization loss.” In Proceedings of the 2016 IEEE ACM International Symposium on Nanoscale Architectures Nanoarch 2016, 185–90, 2016. https://doi.org/10.1145/2950067.2950096.