Laboratory of Machine Intelligence Research and Applications (MIRA) brings together a team of faculty, engineers, and students who pursue high-impact innovation in the field of artificial intelligence research and application. MIRA is under the supervision of Professor Jie Wang (王杰), vice dean of the School of the Gifted Young at University of Science and Technology of China (USTC, 中国科学技术大学). He has published many papers on top machine learning and data mining journals and conferences such as JMLR, TPAMI, NIPS, ICML, and KDD. He is an IEEE/CCF senior member, associate editor of Neurocomputing, editorial board member of Data Mining and Knowledge Discovery, and the PI of the research project funded by National Science Fund for Excellent Young Scholars.
Our work solves complex challenges across the areas of reinforcement learning, representation learning, optimization, and covers subjects such as deep reinforcement learning algorithm, distributed self-play system, large-scale distributed optimization algorithm, knowledge acquisition and reasoning, and automatic question answering.
Our research group keeps exploring critical questions in a range of scientific and technical disciplines, while MIRA provides a collaborative and supportive environment. MIRA prides itself on the excellence, diversity, and collaboration of its team. Please refer to People for more information.
For the sake of readability, we only report here charts for FB15k-237, WN18RR, and YAGO3-10, ..., and the best performing models for each family, i.e., ..., HAKE for the geometric ones, ...
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