Publications

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.

Sun, J., A. Li, B. Wang, H. Yang, H. Li, and Y. Chen. “Soteria: Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective.” In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 9307–15, 2021. https://doi.org/10.1109/CVPR46437.2021.00919.

Zhao, W., D. Feng, Y. Hua, W. Tong, J. Liu, J. Xu, C. Li, G. Xu, and Y. Chen. “MORE²: Morphable Encryption and Encoding for Secure NVM.” In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, Vol. 2021-November, 2021. https://doi.org/10.1109/ICCAD51958.2021.9643529.

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.

Joardar, B. K., A. I. Arka, J. R. Doppa, P. P. Pande, H. Li, and K. Chakrabarty. “Heterogeneous Manycore Architectures Enabled by Processing-in-Memory for Deep Learning: From CNNs to GNNs.” In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, Vol. 2021-November, 2021. https://doi.org/10.1109/ICCAD51958.2021.9643559.

Pang, M., B. Wang, M. Ye, Y. Chen, and B. Wen. “DISENTANGLING PROTOTYPE AND VARIATION FOR SINGLE SAMPLE FACE RECOGNITION.” In Proceedings - IEEE International Conference on Multimedia and Expo, 2021. https://doi.org/10.1109/ICME51207.2021.9428431.

Wu, C., X. Yang, H. Yu, I. Takeuchi, Y. Chen, and M. Li. “Optical generative adversarial network based on programmable phase-change photonics.” In Optics InfoBase Conference Papers, 2021.