Dongkuan (DK) Xu is an Assistant Professor in the CS Department at NC State and leads the NCSU Generative Intelligent Computing Lab. His research is fundamentally grounded in exploring and advancing Landed Generative AI, with particular emphasis on studying the and autonomy of intelligent agents (tools, chains, tasks), decision/reasoning reliability (alignment, uncertainty, adaptability, robustness), and resource efficiency (data utilization, computation, parameter optimization) in Generative AI (ChatGPT, GPT-X, Diffusion Models) Systems. DK’s research has been published repeatedly in top conferences and journals in AI, NLP, CV, Hardware, and other fields. He serves as the Column Editor for ACM SIGAI Newsletter, chairs The First Workshop on DL-Hardware Co-Design for AI Acceleration with AAAI 2023, and co-chairs The Resource-Efficient Learning for Knowledge Discovery Workshop with KDD 2023. He has served as session chair for New Deep Learning Architectures, and for Scalable & Trustable AI at KDD 2022, and has served as a (senior) PC member and regular reviewer for over 30 major conferences and 16 journals. In addition, he has launched the Machine Learning Algorithms & Natural Language Processing community. DK also has extensive research experience in industry. He has been collaborating with Microsoft Research, Google Research, Moffett AI, and NEC labs America, and holds 10 US patents/applications. DK's long-term research goal is to liberate AI productivity and democratize its application to serve a broader range of populations and real-world applications, equally, sustainably, and responsibly. More information can be found at https://dongkuanx27.github.io/

Zhengdong is a highly skilled researcher currently working at the Generative Intelligent Computing Lab at North Carolina State University (NCSU). He has a wealth of professional experience in the technology industry, having led numerous business intelligence projects in the data center infrastructure domain during his time at Amazon Web Services (AWS). Zhengdong's expertise also extends to the application of machine learning in the internal audit domain, which he gained while working at ABB. His strong analytical skills and innovative approach to problem-solving have made him a valuable asset to every team he has worked with. Zhengdong holds a Master's degree from Duke University and a Bachelor's degree from the Southwestern University of Finance and Economics. He has always been passionate about exploring the intersection of technology and business, and his academic achievements reflect this. In his current role at NCSU, Zhengdong continues to push the boundaries of what is possible in the field of generative intelligent computing. His research has the potential to revolutionize the way we approach complex problems and create new opportunities for innovation across a wide range of industries. Linkedin

I am an bachelor student in the Mechanical Engineering Department at NC State University and minor in business administration. I affilicated with the NCSU Generative Intelligent Computing Lab and  NCSU Ultrasonic Material Characterization Laboratory. 

I have had the incredible opportunity to collaborate with esteemed professionals in my recent work, namely Dr. Dongkuan Xu from the DK Research Group and Dr. Shi in the field of Computer Science in Education. Their invaluable guidance and support have been instrumental in shaping my research journey.

My passion lies in the fascinating domains of Natural Language Processing (NLP), Computer Vision (CV), and Landed Generative AI (LaGAI). Specifically, I am deeply interested in developing efficient and robust AI systems, with a strong focus on making Generative Artificial Intelligence accessible and applicable to the general public.

By exploring the applications of AI across various subjects, I aim to unlock its potential in enhancing our understanding and interaction with the world.  More about me