An Ultra Fast Low Power Convolutional Neural Network Image Sensor with Pixel-level Computing. - Ruibing Song; Kejie Huang; Zongsheng Wang; Haibin Shen (CoRR, 2021)

A Reconfigurable Convolution-in-Pixel CMOS Image Sensor Architecture. - Ruibing Song; Kejie Huang; Zongsheng Wang; Haibin Shen (IEEE Trans. Circuits Syst. Video Technol., 2022)

Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World. - Chunshu Wu; Ruibing Song; Chuan Liu 001; Yunan Yang; Ang Li 006; Michael C. Huang 001; Tong Geng (ICLR, 2024)

DS-GL: Advancing Graph Learning via Harnessing Nature's Power within Scalable Dynamical Systems. - Ruibing Song; Chunshu Wu; Chuan Liu 001; Ang Li 006; Michael C. Huang 001; Tong Geng (ISCA, 2024)

NP-NDS: A Nature-Powered Nonlinear Dynamical System for Power Grid Forecasting. - Chunshu Wu; Ruibing Song; Chuan Liu 001; Yuqing Wang; Yousu Chen; Ang Li 006; Dongfang Liu; Ying Nian Wu; Michael Huang; Tong Geng (LoG, 2024)

A Highly-efficient Lattice-based Post-Quantum Cryptography Processor for IoT Applications. - Zewen Ye; Ruibing Song; Hao Zhang; Donglong Chen; Ray Chak-Chung Cheung; Kejie Huang (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2024)

Nature-GL: A Revolutionary Learning Paradigm Unleashing Nature's Power in Real-World Spatial-Temporal Graph Learning. - Chuan Liu 001; Chunshu Wu; Ruibing Song; Yousu Chen; Ang Li 006; Michael C. Huang 001; Tony Tong Geng (ASP-DAC, 2025)

InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems. - Chuan Liu 001; Ruibing Song; Chunshu Wu; Pouya Haghi; Tong Geng (ICLR, 2025)

DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models. - Ruibing Song; Chuan Liu 001; Chunshu Wu; Ang Li 006; Dongfang Liu; Ying Nian Wu; Tong Geng (ICLR, 2025)

DS-TPU: Dynamical System for on-Device Lifelong Graph Learning with Nonlinear Node Interaction. - Chunshu Wu; Ruibing Song; Chuan Liu 001; Pouya Haghi; Ang Li 006; Michael Huang; Tony Tong Geng (ISCA, 2025)