Publications

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.

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.

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.

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.

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.

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.

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.

Pan, J., C. C. Chang, Z. Xie, J. Hu, and Y. Chen. “Robustify ML-based lithography hotspot detectors.” In IEEE ACM International Conference on Computer Aided Design Digest of Technical Papers Iccad, 2022. https://doi.org/10.1145/3508352.3549389.

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.

Wang, C., D. Feng, W. Tong, J. Liu, B. Wu, and Y. Chen. “Space-Time-Efficient Modeling of Large-Scale 3-D Cross-Point Memory Arrays by Operation Adaption and Network Compaction.” IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems 41, no. 10 (October 1, 2022): 3479–91. https://doi.org/10.1109/TCAD.2021.3123591.

Chandra, V., Y. Chen, and S. Yoo. “Introduction to the Special Section on Energy-Efficient AI Chips.” ACM Transactions on Design Automation of Electronic Systems 27, no. 5 (September 21, 2022). https://doi.org/10.1145/3538502.

Zhang, J., J. Tang, Y. Chen, J. Liu, J. Ye, M. Wolf, V. Narayanan, M. Srivastava, M. I. Jordan, and V. Bahl. “The 5th Artificial Intelligence of Things (AIoT) Workshop.” In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 4912–13, 2022. https://doi.org/10.1145/3534678.3542911.

Li, Z., Q. Zheng, B. Yan, R. Huang, B. Li, and Y. Chen. “ASTERS: Adaptable Threshold Spike-timing Neuromorphic Design with Twin-Column ReRAM Synapses.” In Proceedings Design Automation Conference, 1099–1104, 2022. https://doi.org/10.1145/3489517.3530591.

Yang, H., X. Yang, N. Z. Gong, and Y. Chen. “HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance.” In Proceedings Design Automation Conference, 25–30, 2022. https://doi.org/10.1145/3489517.3530678.

Pan, J., C. C. Chang, Z. Xie, A. Li, M. Tang, T. Zhang, J. Hu, and Y. Chen. “Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data.” In Proceedings Design Automation Conference, 961–66, 2022. https://doi.org/10.1145/3489517.3530578.

Hanson, E., S. Li, H. H. Li, and Y. Chen. “Cascading Structured Pruning: Enabling High Data Reuse for Sparse DNN Accelerators.” In Proceedings International Symposium on Computer Architecture, 522–35, 2022. https://doi.org/10.1145/3470496.3527419.

Li, T., N. Jing, Z. Mao, and Y. Chen. “A Hybrid-Grained Remapping Defense Scheme Against Hard Failures for Row-Column-NVM.” IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems 41, no. 6 (June 1, 2022): 1842–54. https://doi.org/10.1109/TCAD.2021.3097288.

Taylor, B., Q. Zheng, Z. Li, S. Li, and Y. Chen. “Processing-in-Memory Technology for Machine Learning: From Basic to ASIC.” IEEE Transactions on Circuits and Systems II Express Briefs 69, no. 6 (June 1, 2022): 2598–2603. https://doi.org/10.1109/TCSII.2022.3168404.

Yang, X., B. Taylor, A. Wu, Y. Chen, and L. O. Chua. “Research Progress on Memristor: From Synapses to Computing Systems.” IEEE Transactions on Circuits and Systems I Regular Papers 69, no. 5 (May 1, 2022): 1845–57. https://doi.org/10.1109/TCSI.2022.3159153.