Seminar: 人工智能 - 现时应用和未来影响 (Completed)
Topic: 人工智能:现时应用和未来影响
Time: Mar 15, Sat, 2:00-3:30 PM
Location: Chinese School at Chapel Hill
Room 824, McDougle Middle School
900 Old Fayetteville Rd, Chapel Hill, NC 27516
Welcome to the Research Triangle AI Society (RTAI), a nonprofit organization dedicated to advancing the understanding and application of Artificial Intelligence (AI) within the North Carolina Research Triangle area and beyond.
Topic: 人工智能:现时应用和未来影响
Time: Mar 15, Sat, 2:00-3:30 PM
Location: Chinese School at Chapel Hill
Room 824, McDougle Middle School
900 Old Fayetteville Rd, Chapel Hill, NC 27516
Research Triangle AI Society will host our first conference on 4/19/25. The registration will be open very soon. Please stay tuned.
Topic: Apply Machine Learning and Deep Learning in Financial Markets
Time: Sunday, Feb 9, 2025 8:30PM (EST)
Speaker: Thomas Li (Math Ph.D.)
Time: Feb 8, 2025, Saturday 9:30-11:00AM
Location: Panther Creek High School
Room 2606
6770 McCrimmon Pkwy, Cary, NC 27519
Speaker: Guoliang Cao
Time: 2/2/2025, Sunday, 8:00PM
Slides: download
Topic: Enhance Reasoning of Large Language Models through Prompt Engineering
Time: 1/24/2025, Friday, 12:00PM
Topic: Exploring Llama 3.2: Harnessing the Power of Multimodal AI
Time: Jan 12, 2025 08:30 PM Eastern Time (US and Canada)
Topic: Discover the Latest in AI – New LLM Features, Programming Tools, and More!
Time: Dec 29, 2024 08:30 PM Eastern Time (US and Canada)
Speaker: Guoliang Cao
The presentation pdf is here: download.
Yang “Alice” Cheng (Ph.D., MBA) received a Ph.D. degree from the Missouri School of Journalism, which is one of the oldest formal journalism schools in the world. She also graduated with an outstanding academic award from the nationally recognized Crosby MBA program.
Dr. Cheng is an associate professor in the Department of Communication and an adjunct professor at the Poole College of Management, NCSU. She has taught many courses such as strategic management, research methods, the introduction of public relations, and crisis communication. She has demonstrated a long-term commitment to research involving global public relations management, social media and artificial intelligence, and crisis communication. She has published more than 150 journal articles, conference papers, and book chapters. Some of her publications have appeared in top journals such as The New Media & Society, American Behavioral Scientist, Social Science Computer Review, Computers in Human Behavior, Journal of Public Relations Research, Journal of Product & Brand Management, Telematics and Informatics, Mass Communication & Society, International Journal of Communication, Public Relations Review, and Journal of Contingencies and Crisis Management. Recently, Dr. Cheng was co-editing a book about AI and strategic communication and she has extensively served as a guest speaker or keynote speaker for international institutions such as MIT, Peking University, Zhejiang U, Xiamen U, U of Technology Sydney, and Nanjing Normal U.
Acting as the Principal Investigator (PI) or senior researcher, her research has been funded by many global prestigious institutions ($1,924,049), such as the National Science Foundation (NSF) ($1 million), National Humanities Center (NEH) ($750,000), Arthur Page Center (USA) ($14,000), Caterpiller Foundation ($86,500), North Carolina State University (USA) ($67,249), and the Chinese University of Hong Kong (Hong Kong) ($7,000). Especially, The Arthur Page Johnson Legacy Scholar Grant is awarded to support scholars and professionals making important contributions to knowledge, practice, or public understanding of ethics and responsibility in public communication. The funded study that examines mobile CSR activities in crises has been accepted in the 68th Annual Conference of the International Communication Association (2018) and won the Top Faculty Paper Award.
Her research has been internationally and domestically recognized via various awards, for its originality, quality, and productivity. The received honors and awards included the University Faculty Scholar (2023-2024), Top Faculty Paper (Open competition), Association for Education in Journalism and Mass Communication, 2024; the Best Paper Award, Public Relations Division, International Communication Association Conference, 2013, 2014, and 2018; Top Paper Award in Mass Communication Division in 2014 and 2016, awarded by the International Communication Association Conference; Grunig PRIME Research Fellowship from Institute of Public Relations and PRIME research in 2015; and Peter Debreceny Corporate Award in the 18th International Public Relations Research Conference in 2015. Additionally, She has received the Hong Kong Government Reaching Out Award and the extremely competitive Extraordinary Potential Prize of the 2016 Chinese Government Award.
Due to her expertise in Communication, especially in AI and public relations, she serves on the editorial board of the Journal of Public Relations Research, Public Relations Review, Journal of Contingencies and Crisis Management, and Public Relations Inquiry. Currently, she is the advisory committee member for the International Public Relations Research Conference (IPRRC). She is editing three special issues from prestigious journals such as Internet Research and Public Relations Review.
Artificial Intelligence (AI) and Public Relations, Quantitative Methods, Crisis Communication, Relationship Management
Yu Yang (Ph.D., PE, PMP) had worked as a water engineer for about 10 years. Currently he is working full time as a data scientist. His primary interests include web development, machine learning, AIGC, and large language model (LLM). His representative side projects are as follows.
Guoliang Cao was born in Hunan and graduated from Tsinghua University and the Institute of Computing Technology of the Chinese Academy of Sciences. Later, he came to the United States, where he has been working in computer software development for a long time. Since AlphaGo’s remarkable debut in 2016, when it defeated Go world champion Lee Sedol, Guoliang has focused on and studied Artificial Intelligence technologies, with research areas including Deep Learning, LLM and AI-assisted programming.
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