3 papers
stat.ML2026
Scale-invariant Optimal Sampling for Rare-events Data with Sparse Models
Jing Wang, HaiYing Wang, Qiang Zhang +1
Subsampling is effective in tackling computational challenges for massive data with rare events. Overly aggressive subsampling may adversely affect estimation efficiency, and optim…
eess.SP2024
Real-Time Forecasting of Pathological Gait via IMU Navigation: A Few-Shot and Generative Learning Framework for Wearable Devices
Wenwen Zhang, Hao Zhang, Zenan Jiang +2
Current gait analysis faces challenges in various aspects, including limited and poorly labeled data within existing wearable electronics databases, difficulties in collecting pati…
physics.optics2023
Weight Bank Addition Photonic Accelerator for Artificial Intelligence
Wenwen Zhang, Hao Zhang
Neural networks powered by artificial intelligence play a pivotal role in current estimation and classification applications due to the escalating computational demands of evolving…