Publications

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.

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.

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.

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.

Mao, J., Q. Yang, A. Li, K. W. Nixon, H. Li, and Y. Chen. “Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks.” ACM Transactions on Embedded Computing Systems 21, no. 3 (May 1, 2022). https://doi.org/10.1145/3484946.

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.

Li, H. H., A. R. Alameldeen, and O. Mutlu. “Guest Editors' Introduction: Near-Memory and In-Memory Processing.” IEEE Design and Test 39, no. 2 (April 1, 2022): 46–47. https://doi.org/10.1109/MDAT.2021.3124742.

Chen, Y., and Y. Wang. “A survey of architectures of neural network accelerators.” Scientia Sinica Informationis 52, no. 4 (April 1, 2022): 596–611. https://doi.org/10.1360/SSI-2021-0409.

Chen, Yiran, and Hai Helen Li. “SMALE: Enhancing Scalability of Machine Learning Algorithms on Extreme-Scale Computing Platforms.” Office of Scientific and Technical Information (OSTI), February 26, 2022. https://doi.org/10.2172/1846568.

Chen, Y., and S. Reda. “ISLPED 2021: The 25th Anniversary!.” In IEEE Design and Test, 39:92–93, 2022. https://doi.org/10.1109/MDAT.2021.3128437.

Zhang, J., Y. Chen, and J. Chen. “Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer.” In IEEE International Conference on Data Mining Workshops Icdmw, 2022-November:947–57, 2022. https://doi.org/10.1109/ICDMW58026.2022.00123.

Lin, X., J. Pan, J. Xu, Y. Chen, and C. Zhuo. “Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation.” In Proceedings of the Asia and South Pacific Design Automation Conference ASP DAC, 2022-January:166–71, 2022. https://doi.org/10.1109/ASP-DAC52403.2022.9712491.

Tang, M., X. Ning, Y. Wang, J. Sun, H. Li, and Y. Chen. “FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning.” In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2022-June:10092–101, 2022. https://doi.org/10.1109/CVPR52688.2022.00986.

Zhang, Youhui, Yiran Chen, and Yuanyuan Mi. “Editorial: Machine learning for computational neural modeling and data analyses.” Frontiers in Computational Neuroscience 16 (January 2022): 978192. https://doi.org/10.3389/fncom.2022.978192.

Li, B., H. Lv, Y. Wang, and Y. Chen. “Security Threat to the Robustness of RRAM-based Neuromorphic Computing System.” In Proceedings 2022 IEEE International Symposium on Smart Electronic Systems Ises 2022, 267–71, 2022. https://doi.org/10.1109/iSES54909.2022.00061.

Inkawhich, N., J. Zhang, E. K. Davis, R. Luley, and Y. Chen. “Improving Out-of-Distribution Detection by Learning from the Deployment Environment.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15 (January 1, 2022): 2070–86. https://doi.org/10.1109/JSTARS.2022.3146362.

Feng, G., B. Kim, and H. H. Li. “Bionic Robust Memristor-Based Artificial Nociception System for Robotics.” In Proceedings IEEE International Symposium on Circuits and Systems, 2022-May:3552–56, 2022. https://doi.org/10.1109/ISCAS48785.2022.9937461.

Wang, B., A. Li, M. Pang, H. Li, and Y. Chen. “GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs.” In Proceedings IEEE International Conference on Data Mining Icdm, 2022-November:498–507, 2022. https://doi.org/10.1109/ICDM54844.2022.00060.

Yan, B., J. L. Hsu, P. C. Yu, C. C. Lee, Y. Zhang, W. Yue, G. Mei, et al. “A 1.041-Mb/mm227.38-TOPS/W Signed-INT8 Dynamic-Logic-Based ADC-less SRAM Compute-in-Memory Macro in 28nm with Reconfigurable Bitwise Operation for AI and Embedded Applications.” In Digest of Technical Papers IEEE International Solid State Circuits Conference, 2022-February:188–90, 2022. https://doi.org/10.1109/ISSCC42614.2022.9731545.

Zhang, G. L., S. Zhang, H. H. Li, and U. Schlichtmann. “RRAM-based Neuromorphic Computing: Data Representation, Architecture, Logic, and Programming.” In Proceedings 2022 25th Euromicro Conference on Digital System Design Dsd 2022, 423–28, 2022. https://doi.org/10.1109/DSD57027.2022.00063.

Inkawhich, M., N. Inkawhich, E. Davis, H. Li, and Y. Chen. “The Untapped Potential of Off-the-Shelf Convolutional Neural Networks.” In Proceedings 2022 IEEE Cvf Winter Conference on Applications of Computer Vision Wacv 2022, 2907–16, 2022. https://doi.org/10.1109/WACV51458.2022.00296.

Chen, Y., and I. Mohomed. “Message from the Program Co-Chairs: SEC 2022.” In Proceedings 2022 IEEE ACM 7th Symposium on Edge Computing Sec 2022, XV, 2022. https://doi.org/10.1109/SEC54971.2022.00006.