Publications

Horton, Mark, Changwoo Park, Tergel Molom-Ochir, William McGarry, Jie Gu, and Yiran Chen. “A Differentiable Simulator for Optimizing Time-Domain Analog CNN Accelerators.” In Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design, 1–7. ACM, 2026. https://doi.org/10.1145/3816440.3828510.

Chen, Y. “August 2026 Issue of the IEEE Transactions on Circuits and Systems for Artificial Intelligence.” IEEE Transactions on Circuits and Systems for Artificial Intelligence 3, no. 4 (August 1, 2026): 218–19. https://doi.org/10.1109/TCASAI.2026.3704543.

Navardi, Mozhgan, Yuzhe Fu, Yueqian Lin, Hai Li, Yiran Chen, and Tinoosh Mohsenin. “Generative AI at the Edge: A Comprehensive Survey of Architectures, Hardware and Applications.” ACM Computing Surveys, July 7, 2026. https://doi.org/10.1145/3829079.

Shan, H., C. Wei, C. Guo, Y. Fu, T. Liang, H. Li, and Y. Chen. “Frame Skipping Architecture for Video-Language Model Acceleration.” In Glsvlsi 2026 Proceedings of the Great Lakes Symposium on VLSI 2026, 824–29, 2026. https://doi.org/10.1145/3787109.3816385.

Zohora, F. T., N. Ramos, A. Geethaikrishnan, H. Li, and D. Kudithipudi. “Device-Algorithm Co-Design with FeFETs for On-device Continual Learning.” In Glsvlsi 2026 Proceedings of the Great Lakes Symposium on VLSI 2026, 50–56, 2026. https://doi.org/10.1145/3787109.3815275.

Chen, Y. “2026Q3 Issue of the IEEE Transactions on Circuits and Systems for Artificial Intelligence.” IEEE Transactions on Circuits and Systems for Artificial Intelligence 3, no. 3 (June 1, 2026): 152. https://doi.org/10.1109/TCASAI.2026.3685382.

Li, Y., Y. Cheng, M. Ma, Y. Zou, N. Yang, W. Cheng, H. Li, Y. Chen, and T. Chen. “Skilled AI Agents for Embedded and IoT Systems Development.” In Proceedings of the ACM Conference on AI and Agentic Systems Cais 2026, 1248–52, 2026. https://doi.org/10.1145/3786335.3813205.

Fu, Yuzhe, Hancheng Ye, Cong Guo, Junyao Zhang, Qinsi Wang, Yueqian Lin, Changchun Zhou, Hai, Li, and Yiran Chen. “FlashFPS: Efficient Farthest Point Sampling for Large-Scale Point Clouds via Pruning and Caching,” April 19, 2026.

Wang, Yifei, Hancheng Ye, Yechen Xu, Cong Guo, Chiyue Wei, Qinsi Wang, Dongting Li, et al. “MARS: Efficient, Adaptive Co-Scheduling for Heterogeneous Agentic Systems,” April 14, 2026.

Chang, C. C., W. H. Lin, Y. Shen, G. Zhou, Y. Chen, and X. Zhang. “LaMAGIC: Advanced Circuit Formulations for Language-Model-based Topology Generation for Analog Integrated Circuits.” ACM Transactions on Design Automation of Electronic Systems 31, no. 5 (April 11, 2026). https://doi.org/10.1145/3799428.

Chen, Yiran. “2026Q2 Issue of the IEEE Transactions on Circuits and Systems for Artificial Intelligence.” IEEE Transactions on Circuits and Systems for Artificial Intelligence 3, no. 2 (April 2026): 76–77. https://doi.org/10.1109/tcasai.2026.3665025.

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.

Shan, H., C. Guo, C. Wei, F. Cheng, J. Zhang, H. H. Li, and Y. Chen. “Platinum: Path-Adaptable LUT-Based Accelerator Tailored for Low-Bit Weight Matrix Multiplication.” In Proceedings of the Asia and South Pacific Design Automation Conference ASP DAC, 1449–55, 2026. https://doi.org/10.1109/ASP-DAC66049.2026.11420289.

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.

Chen, Y. “2026Q1 Issue of the IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR ARTIFICIAL INTELLIGENCE.” IEEE Transactions on Circuits and Systems for Artificial Intelligence 3, no. 1 (January 1, 2026): 1–2. https://doi.org/10.1109/TCASAI.2026.3659965.

Kawakami, T., T. Molom-Ochir, X. Zhuang, J. Yang, T. Roy, H. Li, and Y. Chen. “DirectGeMM: Eliminating the GeMV Bottleneck in Analog In-Memory Computing.” In Proceedings IEEE International Symposium on Circuits and Systems, 3186–90, 2026. https://doi.org/10.1109/ISCAS66217.2026.11562275.

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.

Molom-Ochir, T., B. F. Morris, M. Horton, C. Wei, C. Guo, B. Taylor, P. Liu, et al. “CAMformer: Binary Associative Memory Is All You Need.” IEEE Transactions on Circuits and Systems I Regular Papers, January 1, 2026. https://doi.org/10.1109/TCSI.2026.3692014.

Cheng, W., Z. Gao, J. Guajardo, H. Beshary, Y. Chen, A. M. Niknejad, and T. Chen. “SPEAR-BF: Wideband Multi-Channel D-Band Beamformer based on the RFSoC Platform.” In 2026 IEEE International Symposium on Spectrum Innovation Dyspan 2026, 152–59, 2026. https://doi.org/10.1109/DySPAN69846.2026.11571108.

Yang, X., Z. Wang, M. Pajic, H. H. Li, Y. Chen, X. S. Hu, C. H. Kim, S. Yu, and R. Manohar. “Neurosymbolic Computing: Hardware–Software Co-design.” In Neurosymbolic AI Foundations and Applications, 347–63, 2026. https://doi.org/10.1002/9781394302406.ch11.

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.

Wang, R., P. Sengupta, C. Roman-Vicharra, Y. Chen, and J. Hu. “Lorecast: Layout-Aware Performance and Power Forecasting from Natural Language.” In Proceedings of the Asia and South Pacific Design Automation Conference ASP DAC, 304–10, 2026. https://doi.org/10.1109/ASP-DAC66049.2026.11420573.

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).

Chen, Y., H. Li, and H. Yang. Computer Engineering Machine Learning and Neural Networks: A Computer Engineering Perspective, 2026. https://doi.org/10.1007/978-3-032-20979-5.

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.