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"