Publications

2019

Yan, Bonan, Bing Li, Ximing Qiao, Cheng-Xin Xue, Meng‐Fan Chang, Yiran Chen, and Hai Helen Li. “Resistive Memory‐Based In‐Memory Computing: From Device and Large‐Scale Integration System Perspectives.” Advanced Intelligent Systems 1, no. 7 (November 2019). https://doi.org/10.1002/aisy.201900068.

Gan, Z. H., X. L. Chai, D. J. Han, and Y. R. Chen. “A chaotic image encryption algorithm based on 3-D bit-plane permutation.” Neural Computing and Applications 31, no. 11 (November 1, 2019): 7111–30. https://doi.org/10.1007/s00521-018-3541-y.

Chen, F., W. Wen, L. Song, J. Zhang, H. H. Li, and Y. Chen. “How to obtain and run light and efficient deep learning networks.” In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, Vol. 2019-November, 2019. https://doi.org/10.1109/ICCAD45719.2019.8942106.

Yang, Q., J. Mao, Z. Wang, and H. Li. “DASNet: Dynamic activation sparsity for neural network efficiency improvement.” In Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, 2019-November:1401–5, 2019. https://doi.org/10.1109/ICTAI.2019.00197.

Bogdan, P., F. Chen, A. Deshwal, J. R. Doppa, B. K. Joardar, H. Li, S. Nazarian, L. Song, and Y. Xiao. “Taming extreme heterogeneity via machine learning based design of autonomous manycore systems.” In Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, CODES/ISSS 2019, 2019. https://doi.org/10.1145/3349567.3357376.

Wu, C., A. Li, B. Li, and Y. Chen. “Efficiently Learning a Robust Self-Driving Model with Neuron Coverage Aware Adaptive Filter Reuse.” In IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation, 2019-October:109–14, 2019. https://doi.org/10.1109/SiPS47522.2019.9020572.

Cheng, H. P., T. Zhang, Y. Yang, F. Yan, H. Teague, Y. Chen, and H. Li. “MSNet: Structural wired neural architecture search for internet of things.” In Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019, 2033–36, 2019. https://doi.org/10.1109/ICCVW.2019.00254.

Wen, W., Y. Chen, and S. P. Mohanty. “Message from the General Chairs.” In Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI, 2019-July:xx, 2019. https://doi.org/10.1109/ISVLSI.2019.00005.

Barboza, E. C., N. Shukla, Y. Chen, and J. Hu. “Machine learning-based pre-routing timing prediction with reduced pessimism.” In Proceedings - Design Automation Conference, 2019. https://doi.org/10.1145/3316781.3317857.

Mao, J., Q. Yang, A. Li, H. Li, and Y. Chen. “MobiEye: An efficient cloud-based video detection system for real-time mobile applications.” In Proceedings - Design Automation Conference, 2019. https://doi.org/10.1145/3316781.3317865.

Xu, J., D. Feng, Y. Hua, W. Tong, J. Liu, C. Li, G. Xu, and Y. Chen. “Adaptive granularity encoding for energy-efficient non-volatile main memory.” In Proceedings - Design Automation Conference, 2019. https://doi.org/10.1145/3316781.3317760.

Chen, F., L. Song, H. H. Li, and Y. Chen. “ZARA: A novel zero-free dataflow accelerator for generative adversarial networks in 3D ReRAM.” In Proceedings - Design Automation Conference, 2019. https://doi.org/10.1145/3316781.3317936.

Liu, R., J. Yang, Y. Chen, and W. Zhao. “ESLAM: An energy-efficient accelerator for real-time ORB-SLAM on FPGA platform.” In Proceedings - Design Automation Conference, 2019. https://doi.org/10.1145/3316781.3317820.

Inkawhich, N., W. Wen, H. H. Li, and Y. Chen. “Feature space perturbations yield more transferable adversarial examples.” In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2019-June:7059–67, 2019. https://doi.org/10.1109/CVPR.2019.00723.

Alyamkin, S., M. Ardi, A. C. Berg, A. Brighton, B. Chen, Y. Chen, H. P. Cheng, et al. “Low-Power Computer Vision: Status, Challenges, and Opportunities.” IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9, no. 2 (June 1, 2019): 411–21. https://doi.org/10.1109/JETCAS.2019.2911899.

Yan, B., Q. Yang, W. H. Chen, K. T. Chang, J. W. Su, C. H. Hsu, S. H. Li, et al. “RRAM-based Spiking Nonvolatile Computing-In-Memory Processing Engine with Precision-Configurable in Situ Nonlinear Activation.” In Digest of Technical Papers - Symposium on VLSI Technology, 2019-June:T86–87, 2019. https://doi.org/10.23919/VLSIT.2019.8776485.

Zhang, S., G. L. Zhang, B. Li, H. H. Li, and U. Schlichtmann. “Aging-aware Lifetime Enhancement for Memristor-based Neuromorphic Computing.” In Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019, 1751–56, 2019. https://doi.org/10.23919/DATE.2019.8714954.

Huang, Y. H., Z. Xie, G. Q. Fang, T. C. Yu, H. Ren, S. Y. Fang, Y. Chen, and J. Hu. “Routability-Driven Macro Placement with Embedded CNN-Based Prediction Model.” In Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019, 180–85, 2019. https://doi.org/10.23919/DATE.2019.8715126.

Joardar, B. K., B. Li, J. R. Doppa, H. Li, P. P. Pande, and K. Chakrabarty. “REGENT: A Heterogeneous ReRAM/GPU-based Architecture Enabled by NoC for Training CNNs.” In Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019, 522–27, 2019. https://doi.org/10.23919/DATE.2019.8714802.

Fan, Z., Z. Li, B. Li, Y. Chen, and H. H. Li. “RED: A ReRAM-based Deconvolution Accelerator.” In Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019, 1763–68, 2019. https://doi.org/10.23919/DATE.2019.8715103.

Li, B., B. Yan, and H. Li. “An overview of in-memory processing with emerging non-volatile memory for data-intensive applications.” In Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI, 381–86, 2019. https://doi.org/10.1145/3299874.3319452.

Chen, F., L. Song, and H. H. Li. “Efficient process-in-memory architecture design for unsupervised GAN-based deep learning using ReRAM.” In Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI, 423–28, 2019. https://doi.org/10.1145/3299874.3319482.

Zhang, J., W. Wen, M. Deisher, H. P. Cheng, H. Li, and Y. Chen. “Learning Efficient Sparse Structures in Speech Recognition.” In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2019-May:2717–21, 2019. https://doi.org/10.1109/ICASSP.2019.8683620.

Song, L., J. Mao, Y. Zhuo, X. Qian, H. Li, and Y. Chen. “HyPar: Towards hybrid parallelism for deep learning accelerator array.” In Proceedings - 25th IEEE International Symposium on High Performance Computer Architecture, HPCA 2019, 56–68, 2019. https://doi.org/10.1109/HPCA.2019.00027.

Guo, X., Y. Huang, H. P. Cheng, B. Li, W. Wen, S. Ma, H. Li, and Y. Chen. “Exploration of Automatic Mixed-Precision Search for Deep Neural Networks.” In Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019, 276–78, 2019. https://doi.org/10.1109/AICAS.2019.8771498.