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 (MIDOG/DRAC@MICCAI, 2022)

High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data. - Lijie Hu; Shuo Ni; Hanshen Xiao; Di Wang 015 (PODS, 2022)

An Extremely Pipelined FPGA-based accelerator of All Adder Neural Networks for On-board Remote Sensing Scene Classification. - Ning Zhang 042; Shuo Ni; Tingting Qiao; Wenchao Liu 001; He Chen 004 (ICFPT, 2023)

CLR: Channel-wise Lightweight Reprogramming for Continual Learning. - Yunhao Ge; Yuecheng Li; Shuo Ni; Jiaping Zhao; Ming-Hsuan Yang 001; Laurent Itti (ICCV, 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; et al. (Trans. Mach. Learn. Res., 2023)

Improving Workflow Integration with xPath: Design and Evaluation of a Human-AI Diagnosis System in Pathology. - Hongyan Gu; Yuan Liang 001; Yifan Xu; Christopher Kazu Williams; Shino Magaki; Negar Khanlou; Harry Vinters; Zesheng Chen; Shuo Ni; Chunxu Yang; Wenzhong Yan; Xinhai Robert Zhang; et al. (ACM Trans. Comput. Hum. Interact., 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, 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 042; He Chen 004 (Remote. Sens., 2023)

An efficient breakdown-free algorithm for numerically evaluating the determinants of (p, q)-pentadiagonal matrices. - Ji-Teng Jia; Rong Xie; Shuo Ni; Xiao-Yan Xu (Numer. Algorithms, 2024)

High-Throughput and Energy-Efficient FPGA-Based Accelerator for All Adder Neural Networks. - Ning Zhang 042; Shuo Ni; Liang Chen 004; Tong Wang; He Chen 004 (IEEE Internet Things J., 2025)