Search Results for author: Ning Lin

Found 14 papers, 6 papers with code

Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?

1 code implementation15 Oct 2024 Jiacheng Cen, Anyi Li, Ning Lin, Yuxiang Ren, Zihe Wang, Wenbing Huang

Based on this theoretical insight, we propose HEGNN, a high-degree version of EGNN to increase the expressivity by incorporating high-degree steerable vectors while maintaining EGNN's efficiency through the scalarization trick.

RNC: Efficient RRAM-aware NAS and Compilation for DNNs on Resource-Constrained Edge Devices

1 code implementation27 Sep 2024 Kam Chi Loong, Shihao Han, Sishuo Liu, Ning Lin, Zhongrui Wang

The resulting network architecture can be optimized for either high accuracy or low latency using a one-shot neural network approach with Pareto optimality achieved through the Non-dominated Sorted Genetic Algorithm II (NSGA-II).

Neural Architecture Search

Dynamic neural network with memristive CIM and CAM for 2D and 3D vision

no code implementations12 Jul 2024 Yue Zhang, Woyu Zhang, Shaocong Wang, Ning Lin, Yifei Yu, Yangu He, Bo wang, Hao Jiang, Peng Lin, Xiaoxin Xu, Xiaojuan Qi, Zhongrui Wang, Xumeng Zhang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu

In contrast, AI models are static, unable to associate inputs with past experiences, and run on digital computers with physically separated memory and processing.

Quantifying cascading power outages during climate extremes considering renewable energy integration

no code implementations1 Jul 2024 Luo Xu, Ning Lin, H. Vincent Poor, Dazhi Xi, A. T. D. Perera

Climate extremes, such as hurricanes, combined with large-scale integration of environment-sensitive renewables, could exacerbate the risk of widespread power outages.

Continuous-Time Digital Twin with Analogue Memristive Neural Ordinary Differential Equation Solver

1 code implementation12 Jun 2024 Hegan Chen, Jichang Yang, Jia Chen, Songqi Wang, Shaocong Wang, Dingchen Wang, Xinyu Tian, Yifei Yu, Xi Chen, Yinan Lin, Yangu He, Xiaoshan Wu, Xinyuan Zhang, Ning Lin, Meng Xu, Yi Li, Xumeng Zhang, Zhongrui Wang, Han Wang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu

We experimentally validate our approach by developing a digital twin of the HP memristor, which accurately extrapolates its nonlinear dynamics, achieving a 4. 2-fold projected speedup and a 41. 4-fold projected decrease in energy consumption compared to state-of-the-art digital hardware, while maintaining an acceptable error margin.

Efficient and accurate neural field reconstruction using resistive memory

no code implementations15 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

1 code implementation8 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 implementations18 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 implementations14 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.

Pruning random resistive memory for optimizing analogue AI

no code implementations13 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 implementation7 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 +3

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