Workshops

• Workshop of Nanophotonics, Quantum Optics and Quantum Information
  

  Quantum information processing, using quantum platforms as the information carrier and processor, allows to transmit fundamentally secure data, solve problems beyond the power of classical super computers, and enhance the precession of measurements beyond the quantum limit. The develop of micro and nanophotonics leads to compact photonic chips that would greatly improve the capability of the traditional electronic chips in terms of processing speed, channel capacity and energy consumption. Recently, optical micro and nanostructures become an increasingly important platform for quantum information, leading to high-quality quantum light sources, on-chip photonic quantum processors, on-chip quantum simulators and computers for specific quantum problems. The workshop welcomes researchers in the fields of micro/nanophotonics, and quantum information with photons and other platforms.
  The topics of the workshop include, but not limited to:
  * Optoelectronics at micro and nanoscale
  * Optical microcavities, surface plasmon, metasurfaces and metamaterials
  * Light-matter interactions in nanostructures, low-dimensional materials and atomic/molecular systems
  * Quantum dots and quantum light sources
  * Quantum communications
  * Quantum computing and quantum simulation
  * Quantum metrology of high precision
  * Novel materials and devices for quantum information
  * Quantum programming and quantum algorithms

  * Topological quantum physics
  Chairs:
  Pei Zhang, Xi‟an Jiaotong University, China 张沛，西安交通大学
  Yin Cai, Xi‟an Jiaotong University, China 蔡寅，西安交通大学
  Feng Li, Xi‟an Jiaotong University, China 李峰，西安交通大学

   

• Workshop of Pre-training Model for Natural Language Processing
  

  The goals of this workshop are to (1) solicit novel methodologies of pre-training models for NLP, (2) investigate research opportunities of improving efficiency of pre-training models, (3) explore and discuss the advantage and possibilities of pre-training for more related tasks.
  The topics of interest include (but not limited to):
  * Self-supervised learning for NLP
  * Pre-training NLP task
  * Pre-training model optimization
  * Lightweight pre-training model
  * Advanced multi-modal applications
  * Benchmark datasets and novel evaluation methods

  We invite the submissions of long and short papers featuring substantial, original, and unpublished research, and expect industrial demonstrations concerning the related topics.
  Chairs:
  Xiao Sun, Hefei University of Technology, China 孙晓，合肥工业大学

  Tong Xu, University of Science and Technology of China 徐童，中国科学与技术大学

  Longfe Wu, JD.COM Silicon Valley Research Center, USA 吴凌飞，京东硅谷研究中心
  

• Workshop of Advances in Biomedical Optics and optical imaging applications
  Chair:
  Xiaojun Yu, Northwestern Polytechnical University, China 余孝军，西北工业大学