Dr. Ching-Yung Lin is the CEO of Graphen, Inc. and an Adjunct Professor in the Depts. of EECS in Columbia University. Headquartered in New York, Graphen currently has nearly 60 employees and has branches and subsidiaries in Taipei, Hong Kong, Beijing, Singapore, and Austin. Before June 2017, he was the IBM Chief Scientist (for the area of Graph Computing) and led to create IBM's first AI products in the Financial Industry. He created the Network Science and Machine Intelligence department at IBM T. J. Watson Research Center. Dr. Lin got his BS and MS from NTUEE in 1991 and 1993, respectively, and PhD from Columbia in 2000. He has been an Adjunct Professor at Columbia since 2005, and was an Affiliate Professor at the Univ. of Washington from 2003 to 2009 and an Adjunct Professor at NYU in 2014. Dr. Lin was named an IEEE Fellow in Nov 2011, the first in the area of Network Science. Inspired by human’s brain structure being a network of billions to trillions of nodes and edges, Dr. Lin's research interest has been on realizing Artificial Intelligence of full brain functioning via fundamental R&D breakthrough of graph-based technologies. He is an author of 180+ publications and 40 awarded patents, with 9000+ citations and H-index of 51. Dr. Lin has been leading several large international projects of 30~150 researchers, including an advanced cognitive security project based on human behavior understanding and pre-crime prediction, and a team of 40+ researchers from Columbia University, CMU, Northeastern Univ., Northwestern Univ., UC Berkeley, Stanford Research Institute, Rutgers Univ., Univ. of Minnesota, and NMU in the then largest US social media analysis research project from 2012 to 2015.
Dr. Lin was invited as a keynote or plenary speaker in 30+ conferences, including the International Conference on Cybersecurity hosted by FBI in 2016 and a panel speaker together with the White House Chief Data Scientist in the interim annual AMA conference invited by the President of the American Medical Association in 2015. He was invited to speak in US Federal Reserve, European Central Bank, US FINRA, and led projects in the largest banks in US, China, Europe, and Russia. He was the Chair of IEEE CAS Multimedia TC and the General Chair of IEEE Intl. Conf. on Multimedia and Expo 2009. In 2003, he initiated and led 111 researchers in 23 worldwide institutes to make the first ever large-scale video annotation task to pave the foundation of Machine Learning of Visual Recognition. His course webpage was the Top 1 search result of Baidu search on Big Data Analytics 2015-2017. Dr. Lin's works won 7 best paper awards and was featured 4 times by the BusinessWeek magazine, including being the Top Story of the Week in May 2009. In 2010, IBM Exploratory Research Career Review selected Dr. Lin as a researcher in the category of "most likely to have the greatest scientific impact for IBM and the world.”
Social Media is influential. Its vast scale made it difficult to explore and predict the events that are happening. In this talk, I am going to share our experience in social media related research. The largest social media research project team in US in 2012-15, we worked on 26 projects that model and analyze information dissemination in social media, understand and predict behaviors, and explore possible solutions to key challenges such as the authenticity of information. Near 100 research papers were published by our team of 40 researchers, including several best paper awards and the cover paper in the Proceeding of National Academy of Science.
本中心今日邀請到台大電機校友及畢業於哥倫比亞大學，曾任職於IBM的首席科學家－林清詠博士，由林宗男主任（圖一）開場介紹講者，演講題目為AI research in social media，從2012到2015這段期間與Berkeley, IBM等知名企業學校進行產學合作，並執行了26個子計畫，今日將其中一個子計畫與大家探討熱門議題『假新聞』的辨識。