Publications

2021

Yang, H., L. Duan, Y. Chen, and H. Li. “BSQ: EXPLORING BIT-LEVEL SPARSITY FOR MIXED-PRECISION NEURAL NETWORK QUANTIZATION.” In ICLR 2021 - 9th International Conference on Learning Representations, 2021.

Li, A., J. Sun, B. Wang, L. Duan, S. Li, Y. Chen, and H. Li. “LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning.” In 6th ACM/IEEE Symposium on Edge Computing, SEC 2021, 68–79, 2021. https://doi.org/10.1145/3453142.3492909.

Chang, C. C., J. Pan, T. Zhang, Z. Xie, J. Hu, W. Qi, C. W. Lin, et al. “Automatic Routability Predictor Development Using Neural Architecture Search.” In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, Vol. 2021-November, 2021. https://doi.org/10.1109/ICCAD51958.2021.9643483.

Taylor, B., A. Shrestha, Q. Qiu, and H. Li. “1S1R-based stable learning through single-spike-encoded spike-timing-dependent plasticity.” In Proceedings - IEEE International Symposium on Circuits and Systems, Vol. 2021-May, 2021. https://doi.org/10.1109/ISCAS51556.2021.9401644.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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. 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.

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.

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.

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). IEEE, 2021. https://doi.org/10.1109/wacv48630.2021.00392.

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

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.

2020

Li, Z., B. Li, Z. Fan, and H. Li. “RED: A ReRAM-Based Efficient Accelerator for Deconvolutional Computation.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 39, no. 12 (December 1, 2020): 4736–47. https://doi.org/10.1109/TCAD.2020.2981055.

Lan, Y., K. W. Nixon, Q. Guo, G. Zhang, Y. Xu, H. Li, and Y. Chen. “FCDM: A Methodology Based on Sensor Pattern Noise Fingerprinting for Fast Confidence Detection to Adversarial Attacks.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 39, no. 12 (December 1, 2020): 4791–4804. https://doi.org/10.1109/TCAD.2020.2969982.

Serrano-Gotarredona, T., M. Valle, F. Conti, and H. Li. “Introduction to the Special Issue on the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2020).” IEEE Journal on Emerging and Selected Topics in Circuits and Systems 10, no. 4 (December 1, 2020): 403–5. https://doi.org/10.1109/JETCAS.2020.3040581.