2 papers
cs.LG2025
HVAdam: A Full-Dimension Adaptive Optimizer
Yiheng Zhang, Shaowu Wu, Yuanzhuo Xu +4
Adaptive optimizers such as Adam have achieved great success in training large-scale models like large language models and diffusion models. However, they often generalize worse th…
cs.RO2025
ReNiL: Event-Driven Pedestrian Bayesian Localization Using IMU for Real-World Applications
Kaixuan Wu, Yuanzhuo Xu, Zejun Zhang +4
Pedestrian inertial localization is key for mobile and IoT services because it provides infrastructure-free positioning. Yet most learning-based methods depend on fixed sliding-win…