31.3 A Compute-Adaptive Elastic Clock-Chain Technique with Dynamic Timing Enhancement for 2D PE-Array-Based Accelerators. - Tianyu Jia; Yuhao Ju; Jie Gu 001 (ISSCC, 2020)

NCPU: An Embedded Neural CPU Architecture on Resource-Constrained Low Power Devices for Real-time End-to-End Performance. - Tianyu Jia; Yuhao Ju; Russ Joseph; Jie Gu 001 (MICRO, 2020)

A Dynamic Timing Enhanced DNN Accelerator With Compute-Adaptive Elastic Clock Chain Technique. - Tianyu Jia; Yuhao Ju; Jie Gu 001 (IEEE J. Solid State Circuits, 2021)

A Differentiable Neural Computer for Logic Reasoning with Scalable Near-Memory Computing and Sparsity Based Enhancement. - Yuhao Ju; Shiyu Guo; Zixuan Liu; Tianyu Jia; Jie Gu 001 (ESSCIRC, 2022)

A 65nm Systolic Neural CPU Processor for Combined Deep Learning and General-Purpose Computing with 95% PE Utilization, High Data Locality and Enhanced End-to-End Performance. - Yuhao Ju; Jie Gu 001 (ISSCC, 2022)

A General-Purpose Compute-in-Memory Processor Combining CPU and Deep Learning with Elevated CPU Efficiency and Enhanced Data Locality. - Yuhao Ju; Yijie Wei; Xi Chen 099; Jie Gu 001 (VLSI Technology and Circuits, 2023)

A Systolic Neural CPU Processor Combining Deep Learning and General-Purpose Computing With Enhanced Data Locality and End-to-End Performance. - Yuhao Ju; Jie Gu 001 (IEEE J. Solid State Circuits, 2023)

LLM-MARK: A Computing Framework on Efficient Watermarking of Large Language Models for Authentic Use of Generative AI at Local Devices. - Shiyu Guo; Yuhao Ju; Xi Chen 099; Jie Gu 001 (DAC, 2024)

20.4 A 28nm Physics Computing Unit Supporting Emerging Physics-Informed Neural Network and Finite Element Method for Real-Time Scientific Computing on Edge Devices. - Yuhao Ju; Ganqi Xu; Jie Gu 001 (ISSCC, 2024)

Scalable Physics-Embedded Neural Networks for Real-Time Robotic Control in Embedded Systems. - Zhiwei Zhong; Yuhao Ju; Jie Gu 001 (MWSCAS, 2024)

Modeling, Design and In-situ Demonstration of Bio-inspired Central Pattern Generator and Neuromorphic Computing Circuits for Complex Kinematic Control of Quadruped Robots. - Qiankai Cao; Yuhao Ju; Zhiwei Zhong; Zhengyu Chen 002; Jie Gu 001 (ACM Great Lakes Symposium on VLSI, 2025)

Mobile-PBR: A 28-nm Energy-Efficient Rendering Processor for Photorealistic Augmented Reality With Inverse Rendering and Background Clustering. - Shiyu Guo; Yuhao Ju; Xi Chen 099; Sachin S. Sapatnekar; Jie Gu 001 (IEEE J. Solid State Circuits, 2025)

A 65 nm General-Purpose Compute-in-Memory Processor Supporting Both General Programming and Deep Learning Tasks. - Yuhao Ju; Yijie Wei; Jie Gu 001 (IEEE J. Solid State Circuits, 2025)