Publications

2021

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.

Gao, Z., A. Li, Y. Gao, Y. Wang, and Y. Chen. “Hermes: Decentralized dynamic spectrum access system for massive devices deployment in 5g.” In International Conference on Embedded Wireless Systems and Networks, 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.

Li, Hai “Helen.” “Brain Inspired Computing: The Extraordinary Voyages in Known and Unknown Worlds.” In 2021 IEEE INTERNATIONAL SYMPOSIUM ON SMART ELECTRONIC SYSTEMS (ISES 2021), XXXI–XXXII, 2021.

Fang, L., Y. Chen, G. Zhai, J. Wang, R. Wang, and W. Dong. Preface. Vol. 13070 LNAI, 2021.

Zhang, S., H. Li, and U. Schlichtmann. “Peripheral Circuitry Assisted Mapping Framework for Resistive Logic-In-Memory Computing.” In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, Vol. 2021-November, 2021. https://doi.org/10.1109/ICCAD51958.2021.9643588.

Gao, Z., A. Li, Y. Gao, B. Li, Y. Wang, and Y. Chen. “FedSwap: A Federated Learning based 5G Decentralized Dynamic Spectrum Access System.” In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, Vol. 2021-November, 2021. https://doi.org/10.1109/ICCAD51958.2021.9643496.

Cheng, H. P., T. Zhang, Y. Zhang, S. Li, F. Liang, F. Yan, M. Li, V. Chandra, H. Li, and Y. Chen. “NASGEM: Neural Architecture Search via Graph Embedding Method.” In 35th AAAI Conference on Artificial Intelligence, AAAI 2021, 8B:7090–98, 2021.

Chen, Y. “2021: The Greatest Reset [From the Editor].” IEEE Circuits and Systems Magazine 21, no. 1 (January 1, 2021): 4. https://doi.org/10.1109/MCAS.2020.3046386.

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.

2020

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.

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.