We demonstrate an optical underwater acoustic sensor with high sensitivity and broad bandwidth (10 Hz to 100 kHz), based on the packaged optical microbubble whispering gallery mode resonator, for t…
Highly sensitive reflective-type fiber hydrogen sensor based on an enlarged taper cascaded with a tilted fiber grating (TFBG) was proposed. Hydrogen-sensitive Au-Pd nanofilm was coated on the TFBG …
We have demonstrated a spectral and repetition rate programmable Yb-doped fiber laser (YDFL) employing an acousto-optic tunable filter (AOTF) as both the intra-cavity spectral filter and temporal m…
A hybrid method of combining Neural Networks (NNs) and optimization algorithms is proposed for the inverse design of orbital angular momentum (OAM) transmission fiber with high efficiency and preci…
Policy optimization, which learns the policy of interest by maximizing the value function via large-scale optimization techniques, lies at the heart of modern reinforcement learning (RL). In additi…
Conventional deformable registration methods aim at solving an optimization model carefully designed on image pairs and their computational costs are exceptionally high. In contrast, recent deep le…
Deep reinforcement learning (RL) agents are becoming increasingly proficient in a range of complex control tasks. However, the agent’s behavior is usually difficult to interpret due to the introd…
Monolithic integration of infrared photodetectors on a silicon platform is a promising solution for the development of scalable and affordable photodetectors and infrared focal plane arrays. We rep…
Optical Vernier effect has been recently demonstrated as a tool to enhance the sensitivity of optical fiber interferometric sensors and has become a hot topic in the last few years. The generation …
Dissipative Kerr cavity soliton and optical frequency comb (OFC) can be generated in fiber cavities or microresonators with anomalous group velocity dispersion (GVD), which has achieved great break…