Against the
backdrop of artificial intelligence advancing at an
unprecedented pace, the challenges and opportunities facing
the research community extend well beyond technological
innovation alone. To showcase the latest advances in machine
learning and machine intelligence, exchange academic ideas,
and jointly explore the emerging challenges in this rapidly
evolving field, the 9th International Conference on Machine
Learning and Machine Intelligence (MLMI 2026) was held in
Tokyo, Japan, from July 17 to 20, 2026. The conference was
organized by Rikkyo University, Japan. MLMI 2026 brought
together leading researchers, academics, and industry
professionals to explore the latest advancements in machine
learning and machine intelligence.
On the morning of July 18, the conference officially
commenced. The opening ceremony was chaired by Prof. Yen-Wei
Chen from Ritsumeikan University, Japan. Prof. Yasunobu
Uchiyama from Rikkyo University, Japan, delivered the
welcome address, extending a warm welcome to experts and
scholars from around the world and expressing the hope that
the conference would further promote international academic
exchange and cooperation. Prof. Yen-Wei Chen then delivered
the opening remarks, expressing sincere appreciation to all
individuals and organizations that had continuously
supported the development of the MLMI conference series and
highlighting the significance of the event.
The keynote session featured presentations by three
internationally renowned scholars: Prof. Dapeng Wu (IEEE
Fellow) of City University of Hong Kong, Hong Kong, China;
Prof. Xudong Jiang (IEEE Fellow) of Nanyang Technological
University, Singapore; Prof. Minghua Chen (IEEE Fellow) of
The Chinese University of Hong Kong, Shenzhen, China, who
shared their latest research achievements and insights in
the field of artificial intelligence.
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Group Photo
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Opening Ceremony |
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Prof. Yasunobu Uchiyama |
Prof. Yen-Wei Chen |
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Keynote Speakers |
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Prof. Dapeng Wu (IEEE Fellow) |
Prof. Xudong Jiang (IEEE Fellow) |
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Prof. Minghua Chen (IEEE Fellow) |
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Invited Speakers |
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Asst. Prof. Sook Shin |
Dr. Jian Song |
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Author Presentations Sessions |
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The Best Presentations have been
selected and evaluated from six aspects evaluated
from 6 aspects: Applicability, Originality,
Significance, Visual Aids, English Delivery,
Timeliness. MLMI 2026 Best Presentations are:
Best Papers:
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