Shang Zhang

ORCID: 0000-0001-6132-8219
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About
Contact & Profiles
Research Areas
  • Text and Document Classification Technologies
  • Semantic Web and Ontologies
  • Educational Technology and Pedagogy
  • Education and Work Dynamics
  • Fault Detection and Control Systems
  • Higher Education and Teaching Methods
  • Natural Language Processing Techniques
  • Oil and Gas Production Techniques
  • Service-Oriented Architecture and Web Services
  • Topic Modeling
  • Innovative Educational Techniques
  • Reinforcement Learning in Robotics
  • Advanced Text Analysis Techniques

Ocean University of China
2020

Southeast University
2018-2019

Beijing University of Technology
2014

Comparative questions in Chinese, as a special and complex form of question answering (QA), have their own unique sentence structure, existing methods cannot solve them well. Inspired by cognitive studies on how humans problems, we propose hybrid framework which combines Logic Programming attention based Bi-LSTM. This is decomposed into three consecutive components: 1) identify comparative questions, 2) extract elements from the identified 3) answer factoid containing extracted elements....

10.1109/access.2019.2960176 article EN cc-by IEEE Access 2019-01-01

Based on the original literature biomaterials included in Web of Science between year 1985 and 2012, this paper conducts author co-occurrence co-citation analysis, makes high-frequency co-authors map map, shows researchers distribution, with information visualization software CiteSpaceII. By detecting leading field, it helps to comprehend research fronts hot topics quickly, identify classic efficiently, write review their activities easily. It provides experts direction view related...

10.4028/www.scientific.net/amm.577.1231 article EN Applied Mechanics and Materials 2014-07-01

Autonomous Surface Vehicle (ASV) provides a new platform for marine exploration and environmental monitoring. It is very important ASV to have learning ability in the unknown environment. Reinforcement branch of machine learning. can obtain control behaviors improve adaptability autonomy through exploration. This paper carries out dynamic modeling on four-thruster ASV, especially designs controller using DDPG (deep deterministic policy gradient) algorithm. Simulation results show that MIMO...

10.1109/cac51589.2020.9327026 article EN 2020-11-06
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