Publications

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.

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.

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.

Kim, B., S. Li, and H. Li. “INCA: Input-stationary Dataflow at Outside-the-box Thinking about Deep Learning Accelerators.” In Proceedings International Symposium on High Performance Computer Architecture, 2023-February:29–41, 2023. https://doi.org/10.1109/HPCA56546.2023.10070992.

Shafique, M., T. Theocharides, H. Li, and C. Jason Xue. “Introduction to the Special Issue on Accelerating AI on the Edge - Part 2.” ACM Transactions on Embedded Computing Systems 21, no. 6 (December 12, 2022). https://doi.org/10.1145/3563127.

Du, Z., J. Sun, A. Li, P. Y. Chen, J. Zhang, H. Li, and Y. Chen. “Rethinking normalization methods in federated learning.” In Distributedml 2022 Proceedings of the 3rd International Workshop on Distributed Machine Learning Part of Conext 2022, 16–22, 2022. https://doi.org/10.1145/3565010.3569062.

Zheng, Q., X. Li, Y. Guan, Z. Wang, Y. Cai, Y. Chen, G. Sun, and R. Huang. “PIMulator-NN: An Event-Driven, Cross-Level Simulation Framework for Processing-In-Memory-Based Neural Network Accelerators.” IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems 41, no. 12 (December 1, 2022): 5464–75. https://doi.org/10.1109/TCAD.2022.3160947.

Li, H. H. “Guest Editorial Special Issue on the International Symposium on Integrated Circuits and Systems - ISICAS 2022.” IEEE Transactions on Circuits and Systems I Regular Papers 69, no. 12 (December 1, 2022): 4730. https://doi.org/10.1109/TCSI.2022.3219319.

Liu, F., W. Zhao, Z. Wang, Y. Zhao, T. Yang, Y. Chen, and L. Jiang. “IVQ: In-Memory Acceleration of DNN Inference Exploiting Varied Quantization.” IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems 41, no. 12 (December 1, 2022): 5313–26. https://doi.org/10.1109/TCAD.2022.3156017.

Li, T., N. Jing, J. Jiang, Q. Wang, Z. Mao, and Y. Chen. “A Novel Architecture Design for Output Significance Aligned Flow with Adaptive Control in ReRAM-based Neural Network Accelerator.” ACM Transactions on Design Automation of Electronic Systems 27, no. 6 (November 22, 2022). https://doi.org/10.1145/3510819.

Hu, S., S. Yu, H. Li, and V. Piuri. “Guest Editorial Special Issue on Security, Privacy, and Trustworthiness in Intelligent Cyber-Physical Systems and Internet of Things.” IEEE Internet of Things Journal 9, no. 22 (November 15, 2022): 22044–47. https://doi.org/10.1109/JIOT.2022.3207335.

Chen, X., D. Li, Y. Chen, and J. Xiong. “Boosting the sensing granularity of acoustic signals by exploiting hardware non-linearity.” In Hotnets 2022 Proceedings of the 2022 21st ACM Workshop on Hot Topics in Networks, 53–59, 2022. https://doi.org/10.1145/3563766.3564091.

Sun, J., A. Li, L. Duan, S. Alam, X. Deng, X. Guo, H. Wang, et al. “FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices.” In Sensys 2022 Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 106–19, 2022. https://doi.org/10.1145/3560905.3568538.

Ogbogu, C., A. I. Arka, B. K. Joardar, J. R. Doppa, H. Li, K. Chakrabarty, and P. P. Pande. “Accelerating Large-Scale Graph Neural Network Training on Crossbar Diet.” IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems 41, no. 11 (November 1, 2022): 3626–37. https://doi.org/10.1109/TCAD.2022.3197342.

Xie, Z., R. Liang, X. Xu, J. Hu, C. C. Chang, J. Pan, and Y. Chen. “Preplacement Net Length and Timing Estimation by Customized Graph Neural Network.” IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems 41, no. 11 (November 1, 2022): 4667–80. https://doi.org/10.1109/TCAD.2022.3149977.

Chen, Y., and Q. Qiu. “Guest Editorial: IEEE TC Special Issue on Software, Hardware and Applications for Neuromorphic Computing.” IEEE Transactions on Computers 71, no. 11 (November 1, 2022): 2705–6. https://doi.org/10.1109/TC.2022.3208389.

Xie, Z., S. Li, M. Ma, C. C. Chang, J. Pan, Y. Chen, and J. Hu. “DEEP: Developing extremely efficient runtime on-chip power meters.” In IEEE ACM International Conference on Computer Aided Design Digest of Technical Papers Iccad, 2022. https://doi.org/10.1145/3508352.3549427.

Sengupta, P., A. Tyagi, Y. Chen, and J. Hu. “How good is your verilog RTL code? A quick answer from machine learning.” In IEEE ACM International Conference on Computer Aided Design Digest of Technical Papers Iccad, 2022. https://doi.org/10.1145/3508352.3549375.

Henkel, J., H. Li, A. Raghunathan, M. B. Tahoori, S. Venkataramani, X. Yang, and G. Zervakis. “Approximate computing and the efficient machine learning expedition.” In IEEE ACM International Conference on Computer Aided Design Digest of Technical Papers Iccad, 2022. https://doi.org/10.1145/3508352.3561105.