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mike-liuliu/README.md

My old email address ([email protected]) is no longer in use. Please use my new address ([email protected]) if you need to contact me. Please do not send spam to me, I will report any spam received.

I have been invited to serve as a reviewer (and program committee member) for AISTATS 2026. AISTATS (International Conference on Artificial Intelligence and Statistics) is a leading conference in machine learning, artificial intelligence, and statistics, particularly well-regarded in North America and Europe. It is renowned for its integration of theory and practice, covering topics ranging from probabilistic models and Bayesian methods to deep learning and large-scale data analysis. The acceptance rate is approximately 30%. The deadline for abstract submissions is September 25, 2025. Submissions are welcome.

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  1. Algorithm_4 Algorithm_4 Public

    Source code of the paper "An efficient implementation for solving the all pairs minimax path problem in an undirected dense graph."

    Jupyter Notebook 15

  2. Min-Max-Jump-distance Min-Max-Jump-distance Public

    Source code of the paper "Min-Max-Jump distance and its applications."

    Jupyter Notebook 7

  3. test test Public

    Honor wall and some of my papers.

    4

  4. shortest_path_warm_start shortest_path_warm_start Public

    Source code of the paper "Solving the all pairs shortest path problem after minor update of a large dense graph."

    Jupyter Notebook 3

  5. gl_index gl_index Public

    Source code of the paper "A New Index for Clustering Evaluation Based on Density Estimation."

    Jupyter Notebook 4

  6. Data-for-UM-S-TM Data-for-UM-S-TM Public

    Data for "Topic Model Supervised by Understanding Map"

    2