Publications

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.

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.

Pang, M., B. Wang, Y. M. Cheung, Y. Chen, and B. Wen. “VD-GAN: A Unified Framework for Joint Prototype and Representation Learning from Contaminated Single Sample per Person.” IEEE Transactions on Information Forensics and Security 16 (January 1, 2021): 2246–59. https://doi.org/10.1109/TIFS.2021.3050055.

Yeats, E., Y. Chen, and H. Li. “Improving Gradient Regularization using Complex-Valued Neural Networks.” In Proceedings of Machine Learning Research, 139:11953–63, 2021.

Li, A., J. Sun, P. Li, Y. Pu, H. Li, and Y. Chen. “Hermes: An efficient federated learning framework for heterogeneous mobile clients.” In Proceedings of the Annual International Conference on Mobile Computing and Networking MOBICOM, 420–36, 2021. https://doi.org/10.1145/3447993.3483278.

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.

Zhang, Qian, Bo Wang, Wei Wen, Hai Li, and Junhui Liu. “Line Art Correlation Matching Feature Transfer Network for Automatic Animation Colorization.” In 2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 3871–80. IEEE, 2021. https://doi.org/10.1109/wacv48630.2021.00392.

Yang, X., S. Belakaria, B. K. Joardar, H. Yang, J. R. Doppa, P. P. Pande, K. Chakrabarty, and H. Li. “Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise.” In IEEE ACM International Conference on Computer Aided Design Digest of Technical Papers Iccad, Vol. 2021-November, 2021. https://doi.org/10.1109/ICCAD51958.2021.9643444.

Fang, L., Y. Chen, G. Zhai, J. Wang, R. Wang, and W. Dong. Preface. Vol. 13069 LNAI, 2021.

Liu, X., M. Mao, X. Bi, H. Li, and Y. Chen. “Exploring Applications of STT-RAM in GPU Architectures.” IEEE Transactions on Circuits and Systems I Regular Papers 68, no. 1 (January 1, 2021): 238–49. https://doi.org/10.1109/TCSI.2020.3031895.