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