Shuo Ni

According to our database, Shuo Ni authored at least 9 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Algorithm-Hardware Co-Optimization and Deployment Method for Field-Programmable Gate-Array-Based Convolutional Neural Network Remote Sensing Image Processing.

Shuo Ni, Xin Wei, Ning Zhang, He Chen

Remote. Sens., December, 2023

A bidiagonalization-based numerical algorithm for computing the inverses of (p,q)-tridiagonal matrices.

Ji-Teng Jia, Rong Xie, Xiao-Yan Xu, Shuo Ni, Jie Wang

Numer. Algorithms, June, 2023

Improving Workflow Integration with xPath: Design and Evaluation of a Human-AI Diagnosis System in Pathology.

Hongyan Gu, Yuan Liang, Yifan Xu, Christopher Kazu Williams, Shino Magaki, Negar Khanlou, Harry Vinters, Zesheng Chen, Shuo Ni, Chunxu Yang, Wenzhong Yan, Xinhai Robert Zhang, Yang Li, Mohammad Haeri, Xiang 'Anthony' Chen

ACM Trans. Comput. Hum. Interact., April, 2023

USC-DCT: A Collection of Diverse Classification Tasks.

Adam M. Jones, Gozde Sahin, Zachary William Murdock, Yunhao Ge, Ao Xu, Yuecheng Li, Di Wu, Shuo Ni, Po-Hsuan Huang, Kiran Lekkala, Laurent Itti

Data, 2023

Lightweight Learner for Shared Knowledge Lifelong Learning.

Yunhao Ge, Yuecheng Li, Di Wu, Ao Xu, Adam M. Jones, Amanda Sofie Rios, Iordanis Fostiropoulos, Shixian Wen, Po-Hsuan Huang, Zachary William Murdock, Gozde Sahin, Shuo Ni, Kiran Lekkala, Sumedh Anand Sontakke, Laurent Itti

CoRR, 2023

CLR: Channel-wise Lightweight Reprogramming for Continual Learning.

Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

An Extremely Pipelined FPGA-based accelerator of All Adder Neural Networks for On-board Remote Sensing Scene Classification.

Ning Zhang, Shuo Ni, Tingting Qiao, Wenchao Liu, He Chen

Proceedings of the International Conference on Field Programmable Technology, 2023

2022

High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data.

Lijie Hu, Shuo Ni, Hanshen Xiao, Di Wang

Proceedings of the PODS '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge.

Hongyan Gu, Mohammad Haeri, Shuo Ni, Christopher Kazu Williams, Neda Zarrin-Khameh, Shino Magaki, Xiang 'Anthony' Chen

Proceedings of the Mitosis Domain Generalization and Diabetic Retinopathy Analysis, 2022