Yilun Zhao
  • Bio
  • Papers
  • Projects
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
  • Experience
  • Blog
    • 🎉 Easily create your own simple yet highly customizable blog
    • 🧠 Sharpen your thinking with a second brain
    • 📈 Communicate your results effectively with the best data visualizations
    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • Publications
    • A System Architecture for Low Latency Multiprogramming Quantum Computing
    • SuperEncoder: Towards Efficient Neural Approximate Quantum State Preparation
    • Distributed-HISQ: A Distributed Quantum Control Architecture
    • CLASS: A Controller-Centric Layout Synthesizer for Dynamic Quantum Circuits
    • Full State Quantum Circuit Simulation Beyond Memory Limit
    • Q-GPU: A Recipe of Optimizations for Quantum Circuit Simulation Using GPUs
    • PDL and CD insensitive low complexity equalizer for short reach coherent systems
    • Low complexity OSNR monitoring and modulation format identification based on binarized neural networks
    • Intelligent optical performance monitor using multi-task learning based artificial neural network
    • Loss weight adaptive multi-task learning based optical performance monitor for multiple parameters estimation
  • Recent & Upcoming Talks
    • Example Talk
  • Teaching
    • Learn JavaScript
    • Learn Python

Loss weight adaptive multi-task learning based optical performance monitor for multiple parameters estimation

Jan 1, 2019·
Zhenming Yu
,
Zhiquan Wan
,
Liang Shu
,
Shaohua Hu
Yilun Zhao
Yilun Zhao
,
Jing Zhang
,
Kun Xu
· 0 min read
PDF Cite URL
Type
Journal article
Publication
Optics Express
Last updated on Sep 9, 2026
Yilun Zhao
Authors
Yilun Zhao
PhD Student
← Intelligent optical performance monitor using multi-task learning based artificial neural network Jan 1, 2019

© 2026 Me. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.