With the rise of mobile video, user-generated content, and social networks, there is a massive opportunity for disruptive innovations in the media and content industry. It is now a fast-changing landscape with rapid advances in AI-powered content creation, dissemination and interaction technologies. I believe the current trends are leading us towards a world where everyone is equally empowered to produce high-quality content in video, music, augmented reality or more – and to share their information, knowledge, and stories with a large global audience. This new AI-powered content platform can further lead to innovations in advertising, e-commerce, online education, and productivity. I will share the current research efforts at ByteDance connected to this emerging new platform through products such as Douyin and TikTok, and discuss the challenges and the direction of our future research.
Wei-Ying Ma is a Vice President and the Head of AI Lab at ByteDance. He is responsible for fundamental research and technology development in areas including machine learning, computer vision, speech and audio processing, natural language processing, personalized recommendation and search. The technologies from his teams have been used by hundreds of millions of users daily through ByteDance's content platforms and core products such as Jinri Toutiao and Douyin. Prior to ByteDance, Wei-Ying Ma was an Assistant Managing Director at Microsoft Research Asia. He developed many technologies that were successfully transferred to Microsoft’s Bing, Ads Center, Cognitive Services, Exchange, SharePoint, Azure, and Xiaoice. He has contributed to many open-sourced technologies at GitHub, including the Distributed Machine Learning Toolkit, Microsoft Graph Engine and Microsoft Concept Graph.
Wei-Ying Ma has published more than 300 papers at international conferences and in journals. He has been granted with more than 160 patents. He is a Fellow of the IEEE. He has served as program co-chair of the International Conference on World Wide Web (WWW) 2008 and the general co-chair of ACM Special Interest Group on Information Retrieval (SIGIR) 2011. He has served on many editorial boards including ACM Transactions on Information System (TOIS), the ACM/Springer Multimedia Systems Journal, and the Journal of Multimedia Tools and Applications. He was a member of International World Wide Web Conferences Steering Committee from 2010 to 2016. He was awarded a Distinguished Alumni from the EECS of National Tsing Hua University in 2010. He received the honor to deliver a Distinguished Lecture at University of California at Santa Barbara ECE 50th Anniversary in 2013.
Dr. Yolanda Gil is Director of Knowledge Technologies at the Information Sciences Institute of the University of Southern California, and Research Professor in Computer Science and in Spatial Sciences. She is also Director of the USC Center for Knowledge-Powered Interdisciplinary Data Science. She received her M.S. and Ph. D. degrees in Computer Science from Carnegie Mellon University, with a focus on artificial intelligence. Her research is on intelligent interfaces for knowledge capture and discovery, which she investigates in a variety of projects concerning scientific discovery, knowledge-based planning and problem solving, information analysis and assessment of trust, semantic annotation and metadata, and community-wide development of knowledge bases. Dr. Gil collaborates with scientists in many domains on semantic workflows and metadata capture, social knowledge collection, computer-mediated collaboration, and automated discovery. She is a Fellow of the Association for Computing Machinery (ACM), and Past Chair of its Special Interest Group in Artificial Intelligence. She is also Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), and was elected as its 24th President in 2016.
Stay tuned, we will soon be posting the Tutorials information.
Stay tuned, we will soon be posting the Workshops information.
Future of the Web
"Future of the Web" is a new research track at The Web Conference 2020, which will feature invited talks by leading scientists who will outline their vision for the future of web-related research. The track is dedicated to visionary ideas and blue-sky thinking, which will spark discussions and bring new insights both to the WWW community and notably also across disciplines. Speakers in this track will discuss high-risk/high-reward ideas that may open new research avenues that are not yet well covered by the community.
Please note that the track does not solicit submissions and does not have an open call for papers.
The world of data has become really BIG: starting with the desktop, through the mobile phone, and up to the emerging domain of voice AI devices, we are on the cusp of everyday appliances producing a continuous stream of rich data. Such an abundance of data poses significant technical challenges and has driven massive innovation, along with a wide debate in the society on the fairness of its use, privacy, and legal issues.
The BIG Track at The Web Conference 2020 will provide a forum to hear the latest innovations and state of the art approaches from leaders in the big data space, from both academia and industry. BIG (Big Data Innovators Gathering) series of events are co-located with the Web Conference series (2014, 2015, 2016, 2017, 2018, 2019). The day will be composed of a set of keynotes, invited talks, and panels.