Purdue CS researchers present four papers at AAAI
02-07-2023
Purdue University Gateway to the Future
This year, Purdue CS faculty will present 4 papers at the 37th AAAI Conference on Artificial Intelligence.
Held in Washington, D.C., February 7 to 14, the AAAI conference is one of the most prestigious forums for artificial intelligence research, attracting experts from around the world to discuss their latest findings.
Professor Lin Tan and Assistant Professor Ming Yin both had papers selected for an oral presentation. Professor Jennifer Neville serves as co-chair for the conference.
Purdue CS Papers at AAAI '23
DisGUIDE: Disagreement-Guided Data-Free Model Extraction
Jonathan Rosenthal (Purdue University), Eric Enouen (The Ohio State University), Hung Viet Pham (York University), Lin Tan (Purdue University)
Learning Combinatorial Structures via Markov Random Fields with Sampling through Lovasz Local Lemma
Nan Jiang (Purdue University), Yi Gu (Northwestern University), Yexiang Xue (Purdue University)
Modeling Human Trust and Reliance in AI-assisted Decision. Making: A Markovian Approach
Zhuoyan Li (Purdue University), Zhuoran Lu (Purdue University), Ming Yin (Purdue University)
Scaling Up AI-driven Scientific Discovery via Embedding Physics Modeling into End-to-end Learning and Harnessing Random Projection
Yexiang Xue (Purdue University), Md Nasim (Purdue University), Xinghang Zhang (Purdue University), Anter El-Azab (Purdue University)
About the Department of Computer Science at Purdue University
Founded in 1962, the Department of Computer Science was created to be an innovative base of knowledge in the emerging field of computing as the first degree-awarding program in the United States. The department continues to advance the computer science industry through research. US News & Reports ranks Purdue CS #20 and #16 overall in graduate and undergraduate programs respectively, seventh in cybersecurity, 10th in software engineering, 13th in programming languages, data analytics, and computer systems, and 19th in artificial intelligence. Graduates of the program are able to solve complex and challenging problems in many fields. Our consistent success in an ever-changing landscape is reflected in the record undergraduate enrollment, increased faculty hiring, innovative research projects, and the creation of new academic programs. The increasing centrality of computer science in academic disciplines and society, and new research activities - centered around data science, artificial intelligence, programming languages, theoretical computer science, machine learning, and cybersecurity - are the future focus of the department. cs.purdue.edu