Shenyang Huang

Oct 31, 2024 | science.org | Jerika J. Barron |Zhenyu Wang |Roberto Arbore |Shenyang Huang

Editor’s summaryExcitons in semiconductors are charge-neutral quasiparticles formed from electron-hole pairs. Electrical control requires the electrons and holes to be separated to create a dipole. This separation reduces the optical activity, thus rendering them optically dark. Using 90° twisted layers of black phosphorous, Huang et al. demonstrate a new species of exciton that carries a permanent dipole (see the Perspective by Milošević and Covasi).

Mar 22, 2024 | nature.com | Shenyang Huang |Fuqiang Huang

AbstractIn-plane anisotropic van der Waals materials have emerged as a natural platform for anisotropic polaritons. Extreme anisotropic polaritons with in-situ broadband tunability are of great significance for on-chip photonics, yet their application remains challenging.

Jan 18, 2024 | towardsdatascience.com | Shenyang Huang

Continue the journey for evolving networksMany complex networks evolve over time including transaction networks, traffic networks, social networks and more. Temporal Graph Learning (TGL) is a fast growing field which aims to learn, predict and understand evolving networks. See our previous blog post for an introduction to temporal graph learning and a summary of advancements last year. In 2023, we saw significantly increased interest from both academia and the industry in the development of TGL.

Dec 9, 2023 | towardsdatascience.com | Shenyang Huang

Challenging and realistic datasets for temporal graph learningIn recent years, significant advances have been made in machine learning on static graphs, accelerated by the availability of public datasets and standardized evaluation protocols, such as the widely adopted Open Graph Benchmark (OGB). However, many real-world systems such as social networks, transportation networks, and financial transaction networks evolve over time with nodes and edges constantly added or deleted.