Computer Science > Conference > UT Dallas CS Faculty Researchers Have Four Papers Accepted Into Internationally Renowned Artificial Intelligence Conference

UT Dallas CS Faculty Researchers Have Four Papers Accepted Into Internationally Renowned Artificial Intelligence Conference

UT Dallas Computer Science faculty members are world-renowned for their research and scholarship. The results of their research will be shared at an upcoming international conference, the 28th International Joint Conference on Artificial Intelligence (IJCAI), in Macao, China. UT Dallas Computer Science faculty members will have a significant presence there, with the presentation of four papers.  The International Joint Conferences on Artificial Intelligence is a non-profit corporation founded in California in 1969 for scientific and educational purposes. This includes dissemination of information on Artificial Intelligence at conferences in which cutting-edge scientific results are presented and through the dissemination of materials presented at these meetings in the form of Proceedings, books, video recordings, and other educational materials. IJCAI conferences present premier international gatherings of AI researchers and practitioners and are held biennially in odd-numbered years since 1969.

The IJCAI Conference is particularly selective in accepting research papers, and each paper submitted to the conference is rigorously peer-reviewed by multiple experts.  Four papers submitted by Drs. Vincent Ng, Xiaohu Guo, Vibhav Gogate, Sriraam Natarajan, Nicholas Ruozzi and their respective co-authors were accepted.

The accepted papers by the UT Dallas Computer Science faculty members include:

  • MAT-Net: Medial Axis Transform Network for 3D Object Recognition– Jianwei Hu, Bin Wang, Lihui Qian, Yiling Pan, Xiaohu Guo, Lingjie Liu, Wenping Wang
  • Automated Essay Scoring: A Survey of the State of the Art– Zixuan Ke, Vincent Ng
  • Lifted Message Passing for Hybrid Probabilistic Inference– Yuqiao Chen, Nicholas Ruozzi, Sriraam Natarajan
  • Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models– Tahrima Rahman, Shasha Jin, Vibhav Gogate

The UT Dallas Computer Science Department has a large group of faculty members focused on research in Artificial Intelligence and all of its respective fields. Several of the faculty members conduct their research under the umbrella of the Institute for Human Language and Technology (HLTRI) which houses various institutes including the Center for Machine Learning and the Center for Applied AI and Machine Learning. Research into Artificial Intelligence includes natural language processing, machine learning, speech processing, computer vision, automatic question-answering, and automated reasoning.

The UT Dallas Computer Science Department is ranked 14th in AI and 6th in the combined areas of Artificial Intelligence and Natural Language Processing on CSRankings.org. CSRankings.org publishes its rankings of Computer Science Schools based on the number of publications by faculty that have appeared in the most selective conferences in each area of Computer Science. The rankings are designed to identify institutions and faculty actively engaged in research across several areas of computer science.

ABOUT THE UT DALLAS COMPUTER SCIENCE DEPARTMENT

The UT Dallas Computer Science program is one of the largest Computer Science departments in the United States with over 2,800 bachelors-degree students, more than 1,000 master’s students, 190 Ph.D. students,  52 tenure-track faculty members, and 41 full-time senior lecturers, as of Fall 2018. With The University of Texas at Dallas’ unique history of starting as a graduate institution first, the CS Department is built on a legacy of valuing innovative research and providing advanced training for software engineers and computer scientists.