Publications

2023

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.

Lyu, Bo, Shiping Wen, Yin Yang, Xiaojun Chang, Junwei Sun, Yiran Chen, and Tingwen Huang. “Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks.” IEEE Transactions on Neural Networks and Learning Systems PP (March 2023). https://doi.org/10.1109/tnnls.2023.3250437.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Zhang, Q., S. Li, G. Zhou, J. Pan, C. C. Chang, Y. Chen, and Z. Xie. “PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions.” In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, 2023. https://doi.org/10.1109/ICCAD57390.2023.10323665.

Zhang, J., A. Muhamed, A. Anantharaman, G. Wang, C. Chen, K. Zhong, Q. Cui, et al. “ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models.” In Proceedings of the Annual Meeting of the Association for Computational Linguistics, 2:1128–36, 2023.

Wu, C., X. Yang, Y. Chen, and M. Li. “Photonic Bayesian Neural Network Using Programmed Optical Noises.” IEEE Journal of Selected Topics in Quantum Electronics 29, no. 2 (January 1, 2023). https://doi.org/10.1109/JSTQE.2022.3217819.

Zhang, J., N. Inkawhich, R. Linderman, Y. Chen, and H. Li. “Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments.” In Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023, 5520–29, 2023. https://doi.org/10.1109/WACV56688.2023.00549.