Efficient and accurate neural field reconstruction using resistive memory

no code implementations • 15 Apr 2024 • Yifei Yu, Shaocong Wang, Woyu Zhang, Xinyuan Zhang, Xiuzhe Wu, Yangu He, Jichang Yang, Yue Zhang, Ning Lin, Bo wang, Xi Chen, Songqi Wang, Xumeng Zhang, Xiaojuan Qi, Zhongrui Wang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu

The GE harnesses the intrinsic stochasticity of resistive memory for efficient input encoding, while the PE achieves precise weight mapping through a Hardware-Aware Quantization (HAQ) circuit.

Novel View Synthesis Quantization

Resistive Memory-based Neural Differential Equation Solver for Score-based Diffusion Model

no code implementations • 8 Apr 2024 • Jichang Yang, Hegan Chen, Jia Chen, Songqi Wang, Shaocong Wang, Yifei Yu, Xi Chen, Bo wang, Xinyuan Zhang, Binbin Cui, Ning Lin, Meng Xu, Yi Li, Xiaoxin Xu, Xiaojuan Qi, Zhongrui Wang, Xumeng Zhang, Dashan Shang, Han Wang, Qi Liu, Kwang-Ting Cheng, Ming Liu

Demonstrating equivalent generative quality to the software baseline, our system achieved remarkable enhancements in generative speed for both unconditional and conditional generation tasks, by factors of 64. 8 and 156. 5, respectively.

Edge-computing

Hazard resistance-based spatiotemporal risk analysis for distribution network outages during hurricanes

no code implementations • 18 Jan 2024 • Luo Xu, Ning Lin, Dazhi Xi, Kairui Feng, H. Vincent Poor

This method converts the time-varying failure probability of a component into a hazard resistance as a time-invariant value during the simulation of evolving hazards.

Random resistive memory-based deep extreme point learning machine for unified visual processing

no code implementations • 14 Dec 2023 • Shaocong Wang, Yizhao Gao, Yi Li, Woyu Zhang, Yifei Yu, Bo wang, Ning Lin, Hegan Chen, Yue Zhang, Yang Jiang, Dingchen Wang, Jia Chen, Peng Dai, Hao Jiang, Peng Lin, Xumeng Zhang, Xiaojuan Qi, Xiaoxin Xu, Hayden So, Zhongrui Wang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu

Our random resistive memory-based deep extreme point learning machine may pave the way for energy-efficient and training-friendly edge AI across various data modalities and tasks.

Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction

no code implementations • 27 Nov 2023 • Zeyang Zhang, Xingwang Li, Fei Teng, Ning Lin, Xueling Zhu, Xin Wang, Wenwu Zhu

We first model human albumin prediction as a dynamic graph regression problem to model the dynamics and patient relationship.

Graph Attention Graph Regression +1

Pruning random resistive memory for optimizing analogue AI

no code implementations • 13 Nov 2023 • Yi Li, Songqi Wang, Yaping Zhao, Shaocong Wang, Woyu Zhang, Yangu He, Ning Lin, Binbin Cui, Xi Chen, Shiming Zhang, Hao Jiang, Peng Lin, Xumeng Zhang, Xiaojuan Qi, Zhongrui Wang, Xiaoxin Xu, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu

Here, we report a universal solution, software-hardware co-design using structural plasticity-inspired edge pruning to optimize the topology of a randomly weighted analogue resistive memory neural network.

Audio Classification Image Segmentation +1

Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization

1 code implementation • 7 Aug 2023 • Yujie Zhou, Wenwen Qiang, Anyi Rao, Ning Lin, Bing Su, Jiaqi Wang

Specifically, 1) we maximize the MI between visual and semantic space for distribution alignment; 2) we leverage the temporal information for estimating the MI by encouraging MI to increase as more frames are observed.

Action Recognition Mutual Information Estimation +1

Tetris: Re-architecting Convolutional Neural Network Computation for Machine Learning Accelerators

no code implementations • 14 Nov 2018 • Hang Lu, Xin Wei, Ning Lin, Guihai Yan, and Xiaowei Li

Inference efficiency is the predominant consideration in designing deep learning accelerators.

BIG-bench Machine Learning