Hui Yang

Information filtering ia trust relationships diffusion process

2016

Recommender systems benefit us in tackling the problem of information overload and finding potential objects that we are interested in among diverse objects. A variety of recommendation algorithms have been proposed. Most of them only …

Tunable photon blockade in a two-mode second-order nonlinear system embedded with a two-level atom

2021 · arXiv (Cornell University)

The conventional photon blockade for high-frequency mode is investigated in a two-mode second-order nonlinear system embedded with a two-level atom. By solving the master equation and calculating the zero-delay-time second-order correlation function $g^{(2)}(0)$, we obtain …

Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations

2021

One of the core problems in large-scale recommendations is to retrieve top relevant candidates accurately and efficiently, preferably in sub-linear time. Previous approaches are mostly based on a two-step procedure: first learn an inner-product model, …

Lessons from the AdKDD'21 Privacy-Preserving ML Challenge

2022 · arXiv (Cornell University)

Designing data sharing mechanisms providing performance and strong privacy guarantees is a hot topic for the Online Advertising industry. Namely, a prominent proposal discussed under the Improving Web Advertising Business Group at W3C only allows …

LCO-LSHADE-GSRL: An enhanced differential evolution algorithm with chaotic orthogonal initialization and GAN-driven specular reflection learning for engineering optimization

2025 · Expert Systems with Applications

Engineering optimization problems are often nonlinear, high-dimensional, and constrained, making them challenging for conventional optimization techniques. Although L-SHADE, an adaptive differential evolution (DE) algorithm with success-history based parameter adaptation, has demonstrated competitive performance, it still …