Laboratory of Machine Intelligence Research and Applications

Introduction

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), deputy director of the Key Laboratory of "Brain-inspired Intelligent Perception and Cognition" of the Ministry of Education. He has published many papers on top machine learning and data mining journals and conferences such as JMLR, TPAMI, NeurIPS, ICML, and SIGKDD. He served as the Area Chair of ICML, NeurIPS, ICLR, etc. He is an IEEE senior member, CCF distinguished member, associate editor of IEEE TPAMI, 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 large language model, graph machine learning, decision making system, and covers subjects such as LLM agent, graph foundation model, autonomous driving, AI4Chips, and AI4Science.

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.

News

We are recruiting strongly self-motivated talents — including undergraduates, graduates, and postdocs — to join our group.
Please contact admission AT miralab.ai .

Congratulations to Zhihai and Zijie for being awarded the National Scholarship for PhD. students and MS. students, respectively.

Zhihai Wang

Zijie Geng

Four papers accepted to NeurIPS 2024 (one as Spotlight).

Rui Yang

Zhihai Wang

Haoyang Liu

Jian Luo

Congratulations to Zhexuan Xu and Xilin Xia (undergraduates) for being supported by the National Natural Science Foundation of China (Youth Student Basic Research Program).

Zhexuan Xu

Xilin Xia

One paper (Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias) accepted to IEEE TPAMI. Congratulations to Zhihao and all co-authors.

Zhihao Shi

One paper (Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming) accepted to IEEE TPAMI. Congratulations to Zhihai and all co-authors.

Zhihai Wang

Read more →

Contact

  • info@miralab.ai
  • 443 Huangshan Road, Hefei, Anhui 230027, China
  • Floor 11, West Building of Science and Technology

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