Publications

2023

Li, Hai, and Brady Taylor. “A Hardware and Software Co-design Framework for Energy Efficient Neuromorphic Systems.” Office of Scientific and Technical Information (OSTI), July 5, 2023. https://doi.org/10.2172/1985762.

Yang, X., H. Yang, J. R. Doppa, P. P. Pande, K. Chakrabartys, and H. Li. “ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-Aware ReRAM-Based In-Memory Training Systems.” IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems 42, no. 7 (July 1, 2023): 2187–99. https://doi.org/10.1109/TCAD.2022.3216546.

Li, Z., Q. Zheng, Y. Chen, and H. Li. “SpikeSen: Low-Latency In-Sensor-Intelligence Design With Neuromorphic Spiking Neurons.” IEEE Transactions on Circuits and Systems II Express Briefs 70, no. 6 (June 1, 2023): 1876–80. https://doi.org/10.1109/TCSII.2023.3235888.

Zhang, T., D. Cheng, Y. He, Z. Chen, X. Dai, L. Xiong, F. Yan, H. Li, Y. Chen, and W. Wen. “NASRec: Weight Sharing Neural Architecture Search for Recommender Systems.” In ACM Web Conference 2023 Proceedings of the World Wide Web Conference Www 2023, 1199–1207, 2023. https://doi.org/10.1145/3543507.3583446.

Joardar, B. K., J. R. Doppa, H. Li, K. Chakrabarty, and P. P. Pande. “ReaLPrune: ReRAM Crossbar-Aware Lottery Ticket Pruning for CNNs.” IEEE Transactions on Emerging Topics in Computing 11, no. 2 (April 1, 2023): 303–17. https://doi.org/10.1109/TETC.2022.3223630.

Xie, Z., J. Pan, C. C. Chang, J. Hu, and Y. Chen. “The Dark Side: Security and Reliability Concerns in Machine Learning for EDA.” IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems 42, no. 4 (April 1, 2023): 1171–84. https://doi.org/10.1109/TCAD.2022.3199172.

Hanson, E., M. Horton, H. H. Li, and Y. Chen. “DefT: Boosting Scalability of Deformable Convolution Operations on GPUs.” In International Conference on Architectural Support for Programming Languages and Operating Systems ASPLOS, 3:134–46, 2023. https://doi.org/10.1145/3582016.3582017.

Hanson, E., S. Li, X. Qian, H. H. Li, and Y. Chen. “DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs.” IEEE Transactions on Computers 72, no. 3 (March 1, 2023): 880–92. https://doi.org/10.1109/TC.2022.3184272.

Augustine, C., and H. Li. “ISLPED 2022: An Experience of a Hybrid Conference in the Time of COVID-19.” IEEE Design and Test 40, no. 1 (February 1, 2023): 105–7. https://doi.org/10.1109/MDAT.2022.3208552.

Pang, Meng, Binghui Wang, Mang Ye, Yiu-Ming Cheung, Yiran Chen, and Bihan Wen. “DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person.” IEEE Transactions on Neural Networks and Learning Systems 34, no. 2 (February 2023): 867–81. https://doi.org/10.1109/tnnls.2021.3103194.

Chang, C. C., J. Pan, Z. Xie, J. Hu, and Y. Chen. “Rethink before Releasing Your Model: ML Model Extraction Attack in EDA.” In Proceedings of the Asia and South Pacific Design Automation Conference ASP DAC, 252–57, 2023. https://doi.org/10.1145/3566097.3567896.

Yang, X., S. Li, Q. Zheng, and Y. Chen. “Improving the Robustness and Efficiency of PIM-Based Architecture by SW/HW Co-Design.” In Proceedings of the Asia and South Pacific Design Automation Conference ASP DAC, 618–23, 2023. https://doi.org/10.1145/3566097.3568358.

Chang, C. C., J. Pan, Z. Xie, Y. Li, Y. Lin, J. Hu, and Y. Chen. “Fully Automated Machine Learning Model Development for Analog Placement Quality Prediction.” In Proceedings of the Asia and South Pacific Design Automation Conference ASP DAC, 58–63, 2023. https://doi.org/10.1145/3566097.3567881.

Zheng, Q., S. Li, Y. Wang, Z. Li, Y. Chen, and H. H. Li. “Accelerating Sparse Attention with a Reconfigurable Non-volatile Processing-In-Memory Architecture.” In Proceedings Design Automation Conference, Vol. 2023-July, 2023. https://doi.org/10.1109/DAC56929.2023.10247908.

Xie, Z., J. Pan, C. C. Chang, R. Liang, E. C. Barboza, and Y. Chen. “Deep Learning for Routability.” In Machine Learning Applications in Electronic Design Automation, 35–61, 2023. https://doi.org/10.1007/978-3-031-13074-8_2.

Sun, J., Z. Xu, D. Yang, V. Nath, W. Li, C. Zhao, D. Xu, Y. Chen, and H. R. Roth. “Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples.” In Proceedings of the IEEE International Conference on Computer Vision, 5180–89, 2023. https://doi.org/10.1109/ICCV51070.2023.00480.

Li, H. H. “MWSCAS Guest Editorial Special Issue Based on the 64th International Midwest Symposium on Circuits and Systems.” IEEE Transactions on Circuits and Systems I Regular Papers 70, no. 1 (January 1, 2023): 1–2. https://doi.org/10.1109/TCSI.2022.3226647.

Zhang, J., H. Wang, G. S. Ravi, F. T. Chong, S. Han, F. Mueller, and Y. Chen. “DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms.” In Proceedings 2023 IEEE International Conference on Quantum Computing and Engineering Qce 2023, 1:1062–73, 2023. https://doi.org/10.1109/QCE57702.2023.00120.

Yang, H., H. Yin, M. Shen, P. Molchanov, H. Li, and J. Kautz. “Global Vision Transformer Pruning with Hessian-Aware Saliency.” In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2023-June:18547–57, 2023. https://doi.org/10.1109/CVPR52729.2023.01779.

Chen, Y. “2023: The Golden Age of Semiconductors.” IEEE Circuits and Systems Magazine 23, no. 1 (January 1, 2023): 3. https://doi.org/10.1109/MCAS.2023.3243685.

Zhang, T., M. Ma, F. Yan, H. Li, and Y. Chen. “: Joint Point Interaction-Dimension Search for 3D Point Cloud.” In Proceedings 2023 IEEE Winter Conference on Applications of Computer Vision Wacv 2023, 1298–1307, 2023. https://doi.org/10.1109/WACV56688.2023.00135.

Sengupta, P., A. Tyagi, Y. Chen, and J. Hu. “Early Identification of Timing Critical RTL Components using ML based Path Delay Prediction.” In 2023 ACM IEEE 5th Workshop on Machine Learning for CAD Mlcad 2023, 2023. https://doi.org/10.1109/MLCAD58807.2023.10299879.

Gopal, B., A. Sridhar, T. Zhang, and Y. Chen. “LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search.” In Ijcai International Joint Conference on Artificial Intelligence, 2023-August:773–81, 2023. https://doi.org/10.24963/ijcai.2023/86.

Yang, Y., H. Li, and Y. Chen. “Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations.” In Proceedings of the IEEE International Conference on Computer Vision, 16063–74, 2023. https://doi.org/10.1109/ICCV51070.2023.01476.

Song, L., F. Chen, H. Li, and Y. Chen. “Refloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers.” In International Conference for High Performance Computing Networking Storage and Analysis Sc, 2023. https://doi.org/10.1145/3581784.3607077.