IEEE Big Data 2021 Tutorials
Tutorial 1:
Shaofeng Zou, Yi Zhou, and Yingbin Liang, "Optimization Meets Reinforcement Learning"
Tutorial 2:
Nihar Shah, "Peer Review at Scale: Challenges and Opportunities"
Tutorial 3:
Carlos Pinheiro, "Network Science: Network analysis and network optimization to solve complex problems in the big data era"
Tutorial 4:
Riccardo Tommasini and Pieter Bonte, "Web Stream Processing with RSP4J: A Big Data Perspective"
Tutorial 5:
Hongzhi Wang and Xiaoou Ding, "Big Data Cleaning:Method Overview and Challenges"
Tutorial 6:
Chris Kuhlman, Dustin Machi, and SS Ravi, "Interactive Demonstrations and Research Use of the net.science Cyberinfrastructure for Network Science"
Tutorial 7:
CHEE WEI TAN, "Healthcare Big Data Analytics for COVID-19 Challenges: Digital Contact Tracing and Infodemic Management"
Tutorial 8:
Di Jin, Shirui Pan, Pengfei Jiao, and Weixiong Zhang, "Community Detection: From Statistical Modeling to Deep Representation"
Tutorial 9:
Michael Sheng, Amin Beheshti, Wei Zhang, and Adnan Mahmood, "Making Sense of The Internet of Things: The Big Data Perspective"