Shuo Ni

17 papers A* 2Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
High-Throughput Energy-Efficient Accelerator With Collaborative-Trainable Sparse-Quantization Method for On-Board Remote Sensing Processing.
IEEE Trans. Geosci. Remote. Sens.
Tong Wang, He Chen, Ning Zhang, Shuo Ni, Xi Zhang, Liang Chen, Wei Li
2025 J jnl
High-Throughput and Energy-Efficient FPGA-Based Accelerator for All Adder Neural Networks.
IEEE Internet Things J.
Ning Zhang, Shuo Ni, Liang Chen, Tong Wang, He Chen
2025 J jnl
UniGeoSeg: Towards Unified Open-World Segmentation for Geospatial Scenes.
CoRR
Shuo Ni, Di Wang, He Chen, Haonan Guo, Ning Zhang, Jing Zhang
2024 J jnl
An efficient breakdown-free algorithm for numerically evaluating the determinants of (p, q)-pentadiagonal matrices.
Numer. Algorithms
Ji-Teng Jia, Rong Xie, Shuo Ni, Xiao-Yan Xu
2023 J jnl
A bidiagonalization-based numerical algorithm for computing the inverses of (p,q)-tridiagonal matrices.
Numer. Algorithms
Ji-Teng Jia, Rong Xie, Xiao-Yan Xu, Shuo Ni, Jie Wang
2023 J jnl
Algorithm-Hardware Co-Optimization and Deployment Method for Field-Programmable Gate-Array-Based Convolutional Neural Network Remote Sensing Image Processing.
Remote. Sens.
Shuo Ni, Xin Wei, Ning Zhang, He Chen
2023 — conf
An Extremely Pipelined FPGA-based accelerator of All Adder Neural Networks for On-board Remote Sensing Scene Classification.
ICFPT
Ning Zhang, Shuo Ni, Tingting Qiao, Wenchao Liu, He Chen
2023 A* conf
CLR: Channel-wise Lightweight Reprogramming for Continual Learning.
ICCV
Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti
2023 J jnl
CLR: Channel-wise Lightweight Reprogramming for Continual Learning.
CoRR
Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti
2023 J jnl
Improving Workflow Integration with xPath: Design and Evaluation of a Human-AI Diagnosis System in Pathology.
ACM Trans. Comput. Hum. Interact.
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
2023 J jnl
Lightweight Learner for Shared Knowledge Lifelong Learning.
CoRR
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
2023 J jnl
Lightweight Learner for Shared Knowledge Lifelong Learning.
Trans. Mach. Learn. Res.
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
2023 J jnl
USC-DCT: A Collection of Diverse Classification Tasks.
Data
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
2022 — conf
Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge.
MIDOG/DRAC@MICCAI
Hongyan Gu, Mohammad Haeri, Shuo Ni, Christopher Kazu Williams, Neda Zarrin-Khameh, Shino Magaki, Xiang 'Anthony' Chen
2022 J jnl
Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge.
CoRR
Hongyan Gu, Mohammad Haeri, Shuo Ni, Christopher Kazu Williams, Neda Zarrin-Khameh, Shino Magaki, Xiang 'Anthony' Chen
2022 A* conf
High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data.
PODS
Lijie Hu, Shuo Ni, Hanshen Xiao, Di Wang
2021 J jnl
High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data.
CoRR
Lijie Hu, Shuo Ni, Hanshen Xiao, Di Wang