7 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Continuous Exposure-Time Modeling for Realistic Atmospheric Turbulence Synthesis
Junwei Zeng, Dong Liang, Sheng-Jun Huang +2
Atmospheric turbulence significantly degrades long-range imaging by introducing geometric warping and exposure-time-dependent blur, which adversely affects both visual quality and…
cs.LG2023★ 1 cited
Implicit Stochastic Gradient Descent for Training Physics-informed Neural Networks
Ye Li, Song-Can Chen, Sheng-Jun Huang
Physics-informed neural networks (PINNs) have effectively been demonstrated in solving forward and inverse differential equation problems, but they are still trapped in training fa…
cs.LG2021★ 7 cited
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
Lue Tao, Lei Feng, Jinfeng Yi +2
Delusive attacks aim to substantially deteriorate the test accuracy of the learning model by slightly perturbing the features of correctly labeled training examples. By formalizing…