Publications

Wang, R., J. Pan, Y. Chen, and J. Hu. “AstroTune: AST-Assisted LLM Retrieval for Cross-Stage Design Flow Parameter Tuner.” In Proceedings of the International Symposium on Physical Design, 144–52, 2026. https://doi.org/10.1145/3764386.3779579.

Morris, B. F., T. Molom-Ochir, C. Zhou, Y. Chen, A. K. Jones, and H. Li. “NP-CAM: Efficient and Scalable DNA Classification using a NoC-Partitioned CAM Architecture.” In Proceedings International Symposium on High Performance Computer Architecture, 2026. https://doi.org/10.1109/HPCA68181.2026.11408550.

Linderman, R. W., N. Cowan, Y. Chen, and S. W. Linderman. “A Bayesian Nonparametric Perspective on Mahalanobis Distance for Out of Distribution Detection.” Transactions on Machine Learning Research 2026-February (January 1, 2026).

Fu, Y., C. Zhou, H. Ye, B. Duan, Q. Huang, C. Wei, C. Guo, H. H. Li, and Y. Chen. “FractalCloud: A Fractal-Inspired Architecture for Efficient Large-Scale Point Cloud Processing.” In Proceedings International Symposium on High Performance Computer Architecture, 2026. https://doi.org/10.1109/HPCA68181.2026.11408589.

Shao, Z., Y. Wang, Q. Wang, T. Jiang, Z. Du, H. Ye, D. Zhuo, Y. Chen, and H. Li. “FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Model.” In Proceedings of the Aaai Conference on Artificial Intelligence, 40:25278–85, 2026. https://doi.org/10.1609/aaai.v40i30.39720.

Wei, C., C. Guo, J. Zhang, H. Shan, Y. Xu, Z. Zhang, Y. Liu, et al. “Focus: A Streaming Concentration Architecture for Efficient Vision-Language Models.” In Proceedings International Symposium on High Performance Computer Architecture, 2026. https://doi.org/10.1109/HPCA68181.2026.11408525.

Wei, Chiyue, Cong Guo, Junyao Zhang, Haoxuan Shan, Yifan Xu, Ziyue Zhang, Yudong Liu, et al. “Focus: A Streaming Concentration Architecture for Efficient Vision-Language Models,” December 16, 2025.

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.

Fu, Yuzhe, Changchun Zhou, Hancheng Ye, Bowen Duan, Qiyu Huang, Chiyue Wei, Cong Guo, Hai Helen’’ Li, and Yiran Chen. “FractalCloud: A Fractal-Inspired Architecture for Efficient Large-Scale Point Cloud Processing,” November 10, 2025.

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.

Zhou, G., B. Korrapati, G. R. Reddy, J. Zhang, Y. Chen, and D. G. Thakurta. “Vario: Enhance Pattern Diversity with Diffusion Model.” In Proceedings of SPIE the International Society for Optical Engineering, Vol. 13425, 2025. https://doi.org/10.1117/12.3049792.

Kim, B., P. Mehta, and Y. Chen. “Dataflow-Driven Neuromorphic Architectures for Edge AI: Theory, Design, and Applications.” In Proceedings of the International Conference on Microelectronics Icm, 2025. https://doi.org/10.1109/ICM66518.2025.11321320.