Invited Talks

• Atsushi Miyauchi: 

Very recent developments in dense subgraph discovery, 

Algorithmic Data Analytics Group, ISI Foundation, Turin, Italy, October 2018. 

Invited by Deputy Director Dr. Francesco Bonchi

• Atsushi Miyauchi:

Graph clustering with performance guarantees: Mathematical programming approaches,

Department of Computer Science, School of Engineering, Virginia Commonwealth University, Richmond, Virginia, USA, February 2018. 

Invited by Assistant Professor Dr. Thang N. Dinh

International Conferences

• Atsushi Miyauchi, Lorenzo Severini, and Francesco Bonchi:

Local centrality minimization with quality guarantees,

The ACM Web Conference 2024 (TheWebConf 2024), Singapore, May 2024.

• Atsushi Miyauchi, Tianyi Chen, Konstantinos Sotiropoulos, and Charalampos E. Tsourakakis:

Densest diverse subgraphs: How to plan a successful cocktail party with diversity,

The 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, California, USA, August 2023.

• Yasushi Kawase, Atsushi Miyauchi, and Hanna Sumita: 

Stochastic solutions for dense subgraph discovery in multilayer networks, 

The 16th ACM International Conference on Web Search and Data Mining (WSDM 2023), Singapore, February 2023.

• Francesco Bonchi, David García-Soriano, Atsushi Miyauchi, and Charalampos E. Tsourakakis: 

Finding densest k-connected subgraphs, 

The 6th RIKEN-IMI-ISM-NUS-ZIB-MODAL-NHR Workshop on Advances in Classical and Quantum Algorithms for Optimization and Machine Learning, Tokyo and Fukuoka, September 2022. 

• Naoki Marumo, Atsushi Miyauchi, Akiko Takeda, and Akira Tanaka: 

A projected gradient method for opinion optimization with limited changes of susceptibility to persuasion, 

The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), Online, November 2021.

• Atsushi Miyauchi and Naonori Kakimura: 

Finding a dense subgraph with sparse cut, 

IIT–RIKEN Joint Workshop for Advanced Intelligence, Genova, Italy, September 2019.

• Atsushi Miyauchi and Akiko Takeda:

Robust densest subgraph discovery,

The 18th IEEE International Conference on Data Mining (ICDM 2018), Singapore, November 2018.

• Atsushi Miyauchi and Naonori Kakimura: 

Finding a dense subgraph with sparse cut, 

The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), Turin, Italy, October 2018. 

• Atsushi Miyauchi, Tomohiro Sonobe, and Noriyoshi Sukegawa:

Exact clustering via integer programming and maximum satisfiability,

Discrete Optimization and Machine Learning, Tokyo, Japan, July 2018.  

• Atsushi Miyauchi, Tomohiro Sonobe, and Noriyoshi Sukegawa:

Exact clustering via integer programming and maximum satisfiability,

The 23rd International Symposium on Mathematical Programming (ISMP 2018), Bordeaux, France, July 2018.

• Atsushi Miyauchi, Tomohiro Sonobe, and Noriyoshi Sukegawa:

Exact clustering via integer programming and maximum satisfiability,

The 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, Louisiana, USA, February 2018.

• Atsushi Miyauchi and Yasushi Kawase:

What is a network community? A novel quality function and detection algorithms,

Machine Learning Summer School 2017 (MLSS 2017), Tuebingen, Germany, June 2017.

• Yasushi Kawase, Tomomi Matsui, and Atsushi Miyauchi:

Additive approximation algorithms for modularity maximization,

The 27th International Symposium on Algorithms and Computation (ISAAC 2016), Sydney, Australia, December 2016.

• Yasushi Kawase and Atsushi Miyauchi:

The densest subgraph problem with a convex/concave size function,

The 27th International Symposium on Algorithms and Computation (ISAAC 2016), Sydney, Australia, December 2016.

• Atsushi Miyauchi and Yasushi Kawase:

What is a network community? A novel quality function and detection algorithms,

The 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia, October 2015.

• Atsushi Miyauchi, Yuni Iwamasa, Takuro Fukunaga, and Naonori Kakimura:

Threshold influence model for allocating advertising budgets,

The 32nd International Conference on Machine Learning (ICML 2015), Lille, France, July 2015.

• Atsushi Miyauchi and Yasushi Kawase: 

Z-score-based modularity for community detection in networks,

International School and Conference on Network Science 2015 (NetSci 2015), Zaragoza, Spain, June 2015.