Publications

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.

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.

Kurshan, E., H. Li, M. Seok, and Y. Xie. “A Case for 3D Integrated System Design for Neuromorphic Computing and AI Applications.” International Journal of Semantic Computing 14, no. 4 (December 1, 2020): 457–75. https://doi.org/10.1142/S1793351X20500063.

Liang, R., Z. Xie, J. Jung, V. Chauha, Y. Chen, J. Hu, H. Xiang, and G. J. Nam. “Routing-Free Crosstalk Prediction.” In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, Vol. 2020-November, 2020. https://doi.org/10.1145/3400302.3415712.

Zheng, Q., X. Li, Z. Wang, G. Sun, Y. Cai, R. Huang, Y. Chen, and H. Li. “MobiLattice: A Depth-wise DCNN Accelerator with Hybrid Digital/Analog Nonvolatile Processing-In-Memory Block.” In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, Vol. 2020-November, 2020. https://doi.org/10.1145/3400302.3415666.

Yang, X., B. Yan, H. Li, and Y. Chen. “ReTransformer: ReRAM-based Processing-in-Memory Architecture for Transformer Acceleration.” In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, Vol. 2020-November, 2020. https://doi.org/10.1145/3400302.3415640.

Li, B., Y. Wang, and Y. Chen. “HitM: High-Throughput ReRAM-based PIM for Multi-Modal Neural Networks.” In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, Vol. 2020-November, 2020. https://doi.org/10.1145/3400302.3415663.

Xie, Z., H. Li, X. Xu, J. Hu, and Y. Chen. “Fast IR Drop Estimation with Machine Learning : Invited Paper.” In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, Vol. 2020-November, 2020. https://doi.org/10.1145/3400302.3415763.

Chai, X., J. Bi, Z. Gan, X. Liu, Y. Zhang, and Y. Chen. “Color image compression and encryption scheme based on compressive sensing and double random encryption strategy.” Signal Processing 176 (November 1, 2020). https://doi.org/10.1016/j.sigpro.2020.107684.

Li, A., C. Wu, Y. Chen, and B. Ni. “MVStylizer: An efficient edge-assisted video photorealistic style transfer system for mobile phones.” In Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 31–40, 2020. https://doi.org/10.1145/3397166.3409140.