1 citations · 1 across the 4 of their papers we have counts for
4 papers
TwistNet-2D: Learning Second-Order Channel Interactions via Spiral Twisting for Texture Recognition
Junbo Jacob Lian, Feng Xiong, Yujun Sun +7
Second-order feature statistics are central to texture recognition, yet existing mechanisms exhibit a structural tension: bilinear pooling and Gram matrices capture global channel…
Wasserstein Evolution : Evolutionary Optimization as Phase Transition
Kaichen Ouyang, Mingyang Yu, Zong Ke +5
Evolutionary algorithms (EAs) serve as powerful black-box optimizers inspired by biological evolution. However, most existing EAs predominantly focus on heuristic operators such as…
Physics-Informed Evolution: An Evolutionary Framework for Solving Quantum Control Problems Involving the Schrödinger Equation
Kaichen Ouyang, Mingyang Yu, Zong Ke +3
Physics-informed Neural Networks (PINNs) show that embedding physical laws directly into the learning objective can significantly enhance the efficiency and physical consistency of…
Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN
Kaichen Ouyang, Zong Ke, Shengwei Fu +3
Evolutionary algorithms (EAs) simulate natural selection but have two main limitations: (1) they rarely update individuals based on global correlations, limiting comprehensive lear…