I'm Nguyen Le Hoang, PhD Student,
Ritsumeikan University, Japan.
Hello, and welcome to my personal website. My name is Nguyen Le Hoang （グエン レ ホアン）, and I am a PhD student in Emergent Systems Laboratory, Ritsumeikan University, Japan. My specialization is in Machine Learning and Robotics, with a particular focus on Symbol Emergence and Emergent Communication.
This website serves as my online resume and portfolio, where you can learn more about my academic and professional background. In addition to my academic pursuits, I am an active individual with a passion for sports like cycling, swimming, and football. I have also traveled extensively and enjoy exploring new cultures and meeting new people.
On this website, you will find a comprehensive overview of my education, work experience, and professional skills. You will also find a list of my publications, conference presentations, and academic achievements.
Whether you are an employer, colleague, or fellow academic, I hope that this website provides you with a clear understanding of my expertise and qualifications. If you have any questions or would like to learn more about my work, please do not hesitate to contact me. Thank you for taking the time to visit my website, and I look forward to hearing from you.
◦ Currently, for PhD degree: Ritsumeikan University, Japan
◦ 2021 - Master Degree from Ho Chi Minh City University of Technology, Vietnam
◦ 2013 - Bachelor Degree from Ho Chi Minh City University of Information Technology, Vietnam
◦ High School, Major in Mathematics, Ho Chi Minh City High School for the Gifted, Vietnam
◦ April 2024 - present, Technical Assistant, Kyoto University, Japan
◦ April 2022 - March 2024, Research Assistant, Ritsumeikan University, Japan
◦ October 2020 - March 2022, Research Assistant, Ho Chi Minh City University of Technology, VNU-HCM, Vietnam
◦ 2015-2019, Manager, Orochi service trading joint stock company, Vietnam
◦ 2014-2015, Specialist, Ho Chi Minh City Open University, Vietnam
◦ 2013-2014, Software Developer, Vigilant Solutions, Vietnam
◦ 2011-2013, Website Designer, Freelancer
◦ New Educational Xross-Training NEXT Fellowship Program, Ritsumeikan University, Japan (2022-2025)
◦ 2nd Prize, Vietnam CASIO Mathematics Competition (2003)
◦ 2nd Prize, Ho Chi Minh City Mathematics Competition (2003, 2005, 2006)
◦ 2nd Prize, Ho Chi Minh City CASIO Mathematics Competition (2002)
◦ 2nd Prize, Singapore Olympiad Mathematics Competition (2004)
◦ 1st Prize, Ho Chi Minh City Chinese Chess Competition, Vietnam (2000)
Projects that i've been working on
Organization: JSPS Qualia Structure Project
Time: 2024-present (as Ph.D. student)
Organization: Ritsumeikan Global Innovation Research Organization R-GIRO
Time: 2022-present (as Ph.D. student)
Organization: Department of Science and Technology, Ho Chi Minh City and Ho Chi Minh City University of Technology (HCMUT)
Time: 2020-2021 (as graduate student)
Organization: Orochi Company
Time: 2015-2019 (as technical manager)
Organization: Vigilant Solutions, Motorola Corporation, Link
Time: 2013-2014 (as programmer)
Organization: Vietnam National University (VNU) and Ho Chi Minh City University of Information Technology (UIT)
Time: 2012-2013 (as undergraduate student)
◦ Nguyen Le Hoang, Tadahiro Taniguchi, Yoshinobu Hagiwara, Akira Taniguchi. Emergent Communication of Multimodal Deep Generative Models based on Metropolis-Hastings Naming Game. Frontiers in Robotics and AI (2024) Vol 10. DOI: 10.3389/frobt.2023.1290604
◦ Tadahiro Taniguchi, Yuto Yoshida, Yuta Matsui, Nguyen Le Hoang, Akira Taniguchi, Yoshinobu Hagiwara. Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative Models. Advanced Robotics (2023) 37(19), 1266–1282. DOI: 10.1080/01691864.2023.2260856
◦ Nguyen Le Hoang, Tran Khanh Dang. Enhancing Big Data Conversion Validation with Alpha-Lightweight Coreset. SN Computer Science (2023) 4:799, DOI: 10.1007/s42979-023-02206-0
◦ Tran Khanh Dang, Ly Hoang Dang, Ta Manh Huy and Nguyen Le Hoang. An Elastic Data Conversion Framework - A Case Study for MySQL and MongoDB. SN Computer Science (2021) 2:4, DOI: 10.1007/s42979-021-00716-3
◦ Nguyen Le Hoang, Le Hong Trang and Tran Khanh Dang. A Comparative Study of the Some Methods Used in Constructing Coresets for Clustering Large Datasets. SN Computer Science (2020) 1:215, DOI: 10.1007/s42979-020-00227-7
◦ Zehang Zhang, Takato Horii, Nguyen Le Hoang and Tadahiro Taniguchi. Symbol Emergence of Emotion through Multimodal Deep Generative Models and Metropolis-Hastings Naming Game. The 38th Annual Conference of the Japanese Society for Artificial Intelligence JSAI 2024, in Shizuoka, Japan. Best Paper Award.
◦ Nguyen Le Hoang, Yuta Matsui, Yoshinobu Hagiwara, Akira Taniguchi and Tadahiro Taniguchi. Compositionality and Generalization in Emergent Communication using the Metropolis-Hastings Naming Game. The IEEE International Conference on Development and Learning Conference ICDL 2024 in Austin, Texas, U.S.A.
◦ Nguyen Le Hoang, Tran Khanh Dang and Thai San Dang. Implement the Data Conversion System by Using Alpha-Lightweight Coreset for Validation Process. The 9th International Conference on Future Data and Security Engineering FDSE 2022 (CCIS 1688) in Ho Chi Minh City, Vietnam. DOI: 10.1007/978-981-19-8069-5_7
◦ Nguyen Le Hoang and Tran Khanh Dang. Alpha Lightweight Coreset for k-means Clustering. The 16th International Conference on Ubiquitous Information Management and Communication IMCOM 2022, in Seoul, Korea. DOI: 10.1109/IMCOM53663.2022.9721770
◦ Ta Manh Huy, Tran Khanh Dang and Nguyen Le Hoang. Intermediate Data Format for the Elastic Data Conversion Framework. The 15th International Conference on Ubiquitous Information Management and Communication IMCOM 2021, in Seoul, Korea. DOI: 10.1109/IMCOM51814.2021.9377366
◦ Tran Khanh Dang, Ta Manh Huy and Nguyen Le Hoang. An Elastic Data Conversion Framework for Data Integration System. The 7th International Conference on Future Data and Security Engineering FDSE 2020 (LNCS 12466), in Binh Dinh, Vietnam. DOI: 10.1007/978-981-33-4370-2_3
◦ Le Hong Trang, Nguyen Le Hoang and Tran Khanh Dang. A Farthest First Traversal based Sampling Algorithm for k-clustering. The 14th International Conference on Ubiquitous Information Management and Communication IMCOM 2020, in Taichung, Taiwan. DOI: 10.1109/IMCOM48794.2020.9001738
◦ Nguyen Le Hoang, Tran Khanh Dang and Le Hong Trang. A Comparative Study of the Use of Coresets for Clustering Large Datasets. The 6th International Conference on Future Data and Security Engineering FDSE 2019 (LNCS 11814), in Nha Trang, Vietnam. DOI: 10.1007/978-3-030-35653-8_4
◦ Hoa Tran Quang, Hung Vo Ho Tien, Nguyen Le Hoang, Thanh Ho Trung and Phuc Do. Finding the Cluster of Actors in Social Network based on the Topic of Messages. The 6th Asian Conference on Intelligent Information and Database Systems ACIIDS 2014 (LNAI 8397), in Bangkok, Thailand. DOI: 10.1007/978-3-319-05476-6_19
◦ Nguyen Le Hoang, Pham Vu Dang Khoa and Do Phuc. Predicting Preferred Topics of Authors Based on Co-Authorship Network. The 11th IEEE International Conference on Research, Innovation and Vision for the Future RIVF 2013, in Hanoi, Vietnam. DOI: 10.1109/RIVF.2013.6719869
◦ Truong Hoang Nhut, Do Phuc and Nguyen Le Hoang. A Fast Algorithm for Predicting Topics of Scientific Papers based on Co-Authorship Graph Model. The 4th International Conference on Computational Collective Intelligence ICCCI 2012 (SCI 457), in Ho Chi Minh City, Vietnam. DOI: 10.1007/978-3-642-34300-1_8