Publications

Joardar, B. K., J. R. Doppa, P. P. Pande, H. Li, and K. Chakrabarty. “AccuReD: High Accuracy Training of CNNs on ReRAM/GPU Heterogeneous 3-D Architecture.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 40, no. 5 (May 1, 2021): 971–84. https://doi.org/10.1109/TCAD.2020.3013194.

Kim, B., E. Hanson, and H. Li. “An Efficient 3D ReRAM Convolution Processor Design for Binarized Weight Networks.” IEEE Transactions on Circuits and Systems II: Express Briefs 68, no. 5 (May 1, 2021): 1600–1604. https://doi.org/10.1109/TCSII.2021.3067840.

Chai, X., H. Wu, Z. Gan, D. Han, Y. Zhang, and Y. Chen. “An efficient approach for encrypting double color images into a visually meaningful cipher image using 2D compressive sensing.” Information Sciences 556 (May 1, 2021): 305–40. https://doi.org/10.1016/j.ins.2020.10.007.

Rao, J., Z. Fan, L. Hong, S. Cheng, Q. Huang, J. Zhao, X. Xiang, et al. “An electroforming-free, analog interface-type memristor based on a SrFeOx epitaxial heterojunction for neuromorphic computing.” Materials Today Physics 18 (May 1, 2021). https://doi.org/10.1016/j.mtphys.2021.100392.

Wu, C., X. Yang, H. Yu, I. Takeuchi, Y. Chen, and M. Li. “Optical Generative Adversarial Network based on Programmable Phase-change Photonics.” In 2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings, 2021.

Chen, Y., Q. Qiu, and Y. Lin. “Introduction of Special Issue on Hardware and Algorithms for Efficient Machine LearningΓÇôPart 1.” ACM Journal on Emerging Technologies in Computing Systems 17, no. 2 (April 5, 2021). https://doi.org/10.1145/3449045.

Wang, C., D. Feng, W. Tong, J. Liu, B. Wu, W. Zhao, Y. Zhang, and Y. Chen. “Improving Write Performance on Cross-Point RRAM Arrays by Leveraging Multidimensional Non-Uniformity of Cell Effective Voltage.” IEEE Transactions on Computers 70, no. 4 (April 1, 2021): 566–80. https://doi.org/10.1109/TC.2020.2990884.

Wang, C., D. Feng, W. Tong, Y. Hua, J. Liu, B. Wu, W. Zhao, et al. “Improving Multilevel Writes on Vertical 3-D Cross-Point Resistive Memory.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 40, no. 4 (April 1, 2021): 762–75. https://doi.org/10.1109/TCAD.2020.3006188.

Wen, S., H. Wei, Y. Yang, Z. Guo, Z. Zeng, T. Huang, and Y. Chen. “Memristive LSTM Network for Sentiment Analysis.” IEEE Transactions on Systems, Man, and Cybernetics: Systems 51, no. 3 (March 1, 2021): 1794–1804. https://doi.org/10.1109/TSMC.2019.2906098.

Yang, Q., and H. Li. “BitSystolic: A 26.7 TOPS/W 2b8b NPU with Configurable Data Flows for Edge Devices.” IEEE Transactions on Circuits and Systems I: Regular Papers 68, no. 3 (March 1, 2021): 1134–45. https://doi.org/10.1109/TCSI.2020.3043778.

Sun, Bo, Yuting Cao, Zhenyuan Guo, Zheng Yan, Shiping Wen, Tingwen Huang, and Yiran Chen. “Sliding Mode Stabilization of Memristive Neural Networks With Leakage Delays and Control Disturbance.” IEEE Transactions on Neural Networks and Learning Systems 32, no. 3 (March 2021): 1254–63. https://doi.org/10.1109/tnnls.2020.2984000.

Zhang, G. L., B. Li, X. Huang, C. Shen, S. Zhang, F. Burcea, H. Graeb, T. Y. Ho, H. Li, and U. Schlichtmann. “An Efficient Programming Framework for Memristor-based Neuromorphic Computing.” In Proceedings -Design, Automation and Test in Europe, DATE, 2021-February:1068–73, 2021. https://doi.org/10.23919/DATE51398.2021.9474084.

Chen, F., L. Song, H. Li, and Y. Chen. “Marvel: A Vertical Resistive Accelerator for Low-Power Deep Learning Inference in Monolithic 3D.” In Proceedings -Design, Automation and Test in Europe, DATE, 2021-February:1240–45, 2021. https://doi.org/10.23919/DATE51398.2021.9474208.

Chen, F., L. Song, H. H. Li, and Y. Chen. “RAISE: A Resistive Accelerator for Subject-Independent EEG Signal Classification.” In Proceedings -Design, Automation and Test in Europe, DATE, 2021-February:340–43, 2021. https://doi.org/10.23919/DATE51398.2021.9473993.

Ma, W., G. Xie, R. Li, W. Liu, H. H. Li, and W. Chang. “Efficient AUTOSAR-Compliant CAN-FD Frame Packing with Observed Optimality.” In Proceedings -Design, Automation and Test in Europe, DATE, 2021-February:1899–1904, 2021. https://doi.org/10.23919/DATE51398.2021.9473962.

Liang, F., Z. Tian, M. Dong, S. Cheng, L. Sun, H. Li, Y. Chen, and G. Zhang. “Efficient neural network using pointwise convolution kernels with linear phase constraint.” Neurocomputing 423 (January 29, 2021): 572–79. https://doi.org/10.1016/j.neucom.2020.10.067.

Zhang, S., H. H. Li, and U. Schlichtmann. “Connection-based Processing-In-Memory Engine Design Based on Resistive Crossbars.” In Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC, 107–13, 2021. https://doi.org/10.1145/3394885.3431523.

Xie, Z., R. Liang, X. Xu, J. Hu, Y. Duan, and Y. Chen. “Net2: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation.” In Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC, 671–77, 2021. https://doi.org/10.1145/3394885.3431562.

Inkawhich, N., M. J. Inkawhich, E. K. Davis, U. K. Majumder, E. Tripp, C. Capraro, and Y. Chen. “Bridging a Gap in SAR-ATR: Training on Fully Synthetic and Testing on Measured Data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 (January 1, 2021): 2942–55. https://doi.org/10.1109/JSTARS.2021.3059991.

Chen, Y., A. Li, H. Yang, T. Zhang, Y. Yang, H. Li, S. Banerjee, and M. Pajic. “AI-Powered IoT System at the Edge.” In Proceedings - 2021 IEEE 3rd International Conference on Cognitive Machine Intelligence, CogMI 2021, 242–51, 2021. https://doi.org/10.1109/CogMI52975.2021.00039.

Zhang, Oliver, Cheng Ding, Tania Pereira, Ran Xiao, Kais Gadhoumi, Karl Meisel, Randall J. Lee, Yiran Chen, and Xiao Hu. “Explainability Metrics of Deep Convolutional Networks for Photoplethysmography Quality Assessment.” IEEE Access : Practical Innovations, Open Solutions 9 (January 2021): 29736–45. https://doi.org/10.1109/access.2021.3054613.

Wang, Y., Z. Zhu, F. Chen, M. Ma, G. Dai, H. Li, and Y. Chen. “REREC: In-ReRAM Acceleration with Access-Aware Mapping for Personalized Recommendation.” In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, Vol. 2021-November, 2021. https://doi.org/10.1109/ICCAD51958.2021.9643573.

Inkawhich, N., K. J. Liang, J. Zhang, H. Yang, H. Li, and Y. Chen. “Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?” In Proceedings of the IEEE International Conference on Computer Vision, 2021-October:41–50, 2021. https://doi.org/10.1109/ICCVW54120.2021.00011.

Inkawhich, N. A., E. K. Davis, M. J. Inkawhich, U. K. Majumder, and Y. Chen. “Training SAR-ATR Models for Reliable Operation in Open-World Environments.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 (January 1, 2021): 3954–66. https://doi.org/10.1109/JSTARS.2021.3068944.

Sun, J., A. Li, L. DiValentin, A. Hassanzadeh, Y. Chen, and H. Li. “FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective.” In Advances in Neural Information Processing Systems, 15:12613–24, 2021.