Publications

Li, Hai, and Ranu Mehra. “Recap of the 62nd ACM/IEEE Design Automation Conference (DAC62): The “Chips to Systems Conference”.” IEEE Design & Test 42, no. 6 (December 2025): 138–39. https://doi.org/10.1109/mdat.2025.3605046.

Kim, Bokyung, Qijia Huang, Brady Taylor, Qilin Zheng, Jonathan Ku, Yiran Chen, and Hai Li. “MulPi: A Multi-class and Patient-Independent Epileptic Seizure Classifier With Co-Designed Input-stationary Computing-in-SRAM.” IEEE Transactions on Biomedical Circuits and Systems 19, no. 4 (August 2025): 756–66. https://doi.org/10.1109/tbcas.2025.3579273.

Cheng, F., T. Zhang, J. Zhang, J. H. C. Ku, Y. Wang, X. Yang, H. Li, and Y. Chen. “AutoRAC: Automated Processing-in-Memory Accelerator Design for Recommender Systems.” In Proceedings of the ACM Great Lakes Symposium on VLSI Glsvlsi, 791–97, 2025. https://doi.org/10.1145/3716368.3735229.

Ali, A. H., A. Sridharan, C. Guo, W. Hwang, W. Tsai, J. Zhang, Y. Chen, S. X. Wang, and D. Fan. “FP-SMR: A Fully Digital Floating-Point Processing-in-SAS-MRAM for Session-based Recommender System.” In Proceedings of the ACM Great Lakes Symposium on VLSI Glsvlsi, 341–47, 2025. https://doi.org/10.1145/3716368.3735206.

Cheng, F., C. Guo, C. Wei, J. Zhang, C. Zhou, E. Hanson, X. Liu, H. Li, and Y. Chen. “Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-Aware Cache Compression.” In Proceedings International Symposium on Computer Architecture, 793–807, 2025. https://doi.org/10.1145/3695053.3731024.

Guo, C., C. Wei, J. Tang, B. Duan, S. Han, H. Li, and Y. Chen. “Transitive Array: An Efficient GEMM Accelerator with Result Reuse.” In Proceedings International Symposium on Computer Architecture, 990–1004, 2025. https://doi.org/10.1145/3695053.3731043.

Zhang, J., H. Wang, Q. Ding, J. Gu, R. Assouly, W. Oliver, S. Han, K. Brown, H. Li, and Y. Chen. “QPlacer: Frequency-Aware Component Placement for Superconducting Quantum Computers.” In Proceedings International Symposium on Computer Architecture, 1554–67, 2025. https://doi.org/10.1145/3695053.3730994.

Wei, C., B. Duan, C. Guo, J. Zhang, Q. Song, H. Li, and Y. Chen. “Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks.” In Proceedings International Symposium on Computer Architecture, 930–43, 2025. https://doi.org/10.1145/3695053.3731035.

Du, Hongru, Yang Zhao, Jianan Zhao, Shaochong Xu, Xihong Lin, Yiran Chen, Lauren M. Gardner, and Hao “Frank” Yang. “Advancing real-time infectious disease forecasting using large language models.” Nature Computational Science 5, no. 6 (June 2025): 467–80. https://doi.org/10.1038/s43588-025-00798-6.

Navardi, M., R. Aalishah, Y. Fu, Y. Lin, H. Li, Y. Chen, and T. Mohsenin. “GenAI at the Edge: Comprehensive Survey on Empowering Edge Devices.” In Aaai Spring Symposium Technical Report, 5:180–87, 2025. https://doi.org/10.1609/aaaiss.v5i1.35586.

Pan, J., C. C. Chang, Z. Xie, Y. Chen, and H. Li. “EDALearn: A Comprehensive RTL-to-Signoff EDA Benchmark for Democratized and Reproducible ML for EDA Research.” In IEEE ACM International Conference on Computer Aided Design Digest of Technical Papers Iccad, 2025. https://doi.org/10.1145/3676536.3697116.

Kim, B., S. Li, B. Taylor, and Y. Chen. “Efficient and Robust Edge AI: Software, Hardware, and the Co-design.” ACM Transactions on Embedded Computing Systems 24, no. 3 (April 4, 2025). https://doi.org/10.1145/3724396.

Chang, C. C., C. T. Ho, Y. Li, Y. Chen, and H. Ren. “DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agent.” In Proceedings of the International Symposium on Physical Design, 143–51, 2025. https://doi.org/10.1145/3698364.3705347.

Chang, C. C., W. H. Lin, J. Pan, G. Zhou, Z. Xie, J. Hu, and Y. Chen. “PRICING: Privacy-Preserving Circuit Data Sharing Framework for Lithographic Hotspot Detection.” In Proceedings of the Asia and South Pacific Design Automation Conference ASP DAC, 1308–13, 2025. https://doi.org/10.1145/3658617.3697773.

Pan, J., G. Zhou, C. C. Chang, I. Jacobson, J. Hu, and Y. Chen. “A Survey of Research in Large Language Models for Electronic Design Automation.” ACM Transactions on Design Automation of Electronic Systems 30, no. 3 (February 24, 2025). https://doi.org/10.1145/3715324.

Jiang, T., Y. Wang, H. Ye, Z. Shao, J. Sun, J. Zhang, Z. Chen, Y. Chen, and H. Li. “SADA: Stability-guided Adaptive Diffusion Acceleration.” In Proceedings of Machine Learning Research, 267:27649–69, 2025.

Sridhar, A., C. C. Chang, J. Zhang, and Y. Chen. “Improving Routability Prediction via NAS Using a Smooth One-Shot Augmented Predictor.” In Proceedings International Symposium on Quality Electronic Design Isqed, 2025. https://doi.org/10.1109/ISQED65160.2025.11014419.

Zhang, J., H. Yang, A. Li, X. Guo, P. Wang, H. Wang, Y. Chen, and H. Li. “MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning.” In Proceedings 2025 IEEE Winter Conference on Applications of Computer Vision Wacv 2025, 4066–76, 2025. https://doi.org/10.1109/WACV61041.2025.00400.

Molom-Ochir, T., B. Taylor, H. H. Li, and Y. Chen. “MonoSparse-CAM: Efficient Tree Model Processing via Monotonicity and Sparsity in CAMs.” In Proceedings IEEE International Symposium on Circuits and Systems, 2025. https://doi.org/10.1109/ISCAS56072.2025.11043997.

Gopal, B., H. Yang, J. Zhang, M. Horton, and Y. Chen. “Boosting Adversarial Robustness with CLAT: Criticality-Leveraged Adversarial Training.” In Proceedings of Machine Learning Research, 267:20142–61, 2025.

Jia, Y., S. Vahidian, J. Sun, J. Zhang, V. Kungurtsev, N. Z. Gong, and Y. Chen. “Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents.” In Lecture Notes in Computer Science, 15136 LNCS:18–33, 2025. https://doi.org/10.1007/978-3-031-73229-4_2.

Alorf, A., B. Taylor, and Y. Chen. “Effect of Capacitor Mismatch Nonlinearity on Inference Accuracy in Analog Compute-in-Memory Architectures.” In Proceedings IEEE International Symposium on Circuits and Systems, 2025. https://doi.org/10.1109/ISCAS56072.2025.11043903.

Wang, Q., H. Ye, M. Y. Chung, Y. Liu, Y. Lin, M. Kuo, M. Ma, J. Zhang, and Y. Chen. “CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models.” In Proceedings of Machine Learning Research, 267:65236–52, 2025.

Kim, B., H. H. Li, and Y. Chen. “Emerging Computing Mechanisms for Edge AI.” IEEE Nanotechnology Magazine 19, no. 2 (January 1, 2025): 25–37. https://doi.org/10.1109/MNANO.2025.3533804.

Zhang, J., Y. Zhou, J. Gu, C. Wigington, T. Yu, Y. Chen, T. Sun, and R. Zhang. “ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models.” In Proceedings 2025 IEEE Winter Conference on Applications of Computer Vision Wacv 2025, 1268–78, 2025. https://doi.org/10.1109/WACV61041.2025.00131.