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Shuo Ni
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2020 – today
- 2024
- [j6]Ji-Teng Jia, Rong Xie, Shuo Ni, Xiao-Yan Xu:
An efficient breakdown-free algorithm for numerically evaluating the determinants of (p, q)-pentadiagonal matrices. Numer. Algorithms 97(4): 2031-2049 (2024) - 2023
- [j5]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:
USC-DCT: A Collection of Diverse Classification Tasks. Data 8(10): 153 (2023) - [j4]Ji-Teng Jia, Rong Xie, Xiao-Yan Xu, Shuo Ni, Jie Wang:
A bidiagonalization-based numerical algorithm for computing the inverses of (p,q)-tridiagonal matrices. Numer. Algorithms 93(2): 899-917 (2023) - [j3]Shuo Ni, Xin Wei, Ning Zhang, He Chen:
Algorithm-Hardware Co-Optimization and Deployment Method for Field-Programmable Gate-Array-Based Convolutional Neural Network Remote Sensing Image Processing. Remote. Sens. 15(24): 5784 (2023) - [j2]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:
Lightweight Learner for Shared Knowledge Lifelong Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j1]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:
Improving Workflow Integration with xPath: Design and Evaluation of a Human-AI Diagnosis System in Pathology. ACM Trans. Comput. Hum. Interact. 30(2): 1-37 (2023) - [c4]Ning Zhang, Shuo Ni, Tingting Qiao, Wenchao Liu, He Chen:
An Extremely Pipelined FPGA-based accelerator of All Adder Neural Networks for On-board Remote Sensing Scene Classification. ICFPT 2023: 258-261 - [c3]Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti:
CLR: Channel-wise Lightweight Reprogramming for Continual Learning. ICCV 2023: 18752-18762 - [i4]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:
Lightweight Learner for Shared Knowledge Lifelong Learning. CoRR abs/2305.15591 (2023) - [i3]Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti:
CLR: Channel-wise Lightweight Reprogramming for Continual Learning. CoRR abs/2307.11386 (2023) - 2022
- [c2]Hongyan Gu, Mohammad Haeri, Shuo Ni, Christopher Kazu Williams, Neda Zarrin-Khameh, Shino Magaki, Xiang 'Anthony' Chen:
Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge. MIDOG/DRAC@MICCAI 2022: 211-216 - [c1]Lijie Hu, Shuo Ni, Hanshen Xiao, Di Wang:
High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data. PODS 2022: 227-236 - [i2]Hongyan Gu, Mohammad Haeri, Shuo Ni, Christopher Kazu Williams, Neda Zarrin-Khameh, Shino Magaki, Xiang 'Anthony' Chen:
Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge. CoRR abs/2208.12437 (2022) - 2021
- [i1]Lijie Hu, Shuo Ni, Hanshen Xiao, Di Wang:
High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data. CoRR abs/2107.11136 (2021)
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