| Technical Committee on Artificial Intelligence and Knowledge-Based Processing (AI) |
[schedule] [select]
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| Chair |
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Tadachika Ozono (Nagoya Inst. of Tech.) |
| Vice Chair |
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Yuko Sakurai (Nagoya Inst. of Tech.), Yuu Nakajima (Toho Univ.) |
| Secretary |
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Kazutaka Matsuzaki (Chuo Univ.), Katsuhide Fujita (TUAT) |
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| Conference Date |
Tue, Jul 8, 2025 09:30 - 14:50 |
| Topics |
SMASH25 Summer Symposium |
| Conference Place |
Room302, SAPPORO EDUCATION AND CULTURE HALL |
| Address |
060-0001 Kita 1-jo Nishi 13-chome, Chuo-ku, Sapporo, Hokkaido |
| Transportation Guide |
5-minute walk from Exit 1 of Nishi 11-chome Station on the Sapporo Municipal Subway Tozai Line.
https://www.kyobun.org/access.html |
Copyright
and
reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Registration Fee |
This workshop will be held as the IEICE workshop in fully electronic publishing. Registration fee will be necessary except the speakers and participants other than the participants to workshop(s) in non-electronic publishing. See the registration fee page. We request the registration fee or presentation fee to participants who will attend the workshop(s) on AI. |
Tue, Jul 8 AM
09:30 - 11:00 |
| (1) |
09:30-09:50 |
Hyperparameter Optimization for Reducing Inference Time of the Trajectory Prediction Deep Learning Model PECNet  AI2025-1 |
Kaito Yamane, Taiki Yokota, Hinata Hosoi, Takaaki Miyajima (Meiji Univ.) |
| (2) |
09:50-10:10 |
Acceleration of the deep learning model PECNet using low-precision quantization. AI2025-2 |
Taiki Yokota, Kaito Yamane, Hinata Hosoi, Takaaki Miyajima (Meiji Univ) |
| (3) |
10:10-10:30 |
Design and Implementation of SAVS: An AI-enabled Ride-sharing System as an Urban Mobility Platform AI2025-3 |
Hideyuki Nakashima (SCU), Hitoshi Matsubara (TU), Keiji Hirata (Mirai Share), Keiji Suzuki (FUN), Wataru Matsudate (Mirai Share), Itsuki Noda (HU), Junichi Ochiai (Mirai Share), Ryo Kanamori (NU), Ryuichi Iwamura (Komitaku), Shoji Sano (KIT) |
| (4) |
10:30-10:50 |
Surrogate modeling of multi-agent simulations based on a variance-maximizing observation strategy using Gaussian process regression AI2025-4 |
Yuto Omae, Yohei Kakimoto, Jun Toyotani (NU) |
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10:50-11:00 |
Break ( 10 min. ) |
Tue, Jul 8 PM
11:00 - 12:20 |
| (5) |
11:00-11:20 |
AI2025-5 |
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| (6) |
11:20-11:40 |
Font Output System based on Impression of Landscapes Using Deep Learning AI2025-6 |
Soichi Hayama, Naiwala .P. Chandrasiri (KUTE) |
| (7) |
11:40-12:00 |
Classification of Nationality of Three Asian Countries by Face Image AI2025-7 |
Shogo Nagaoka, Naiwala P. Chandrasiri (KUTE) |
| (8) |
12:00-12:20 |
Learning Tetris Game by Deep Reinforcement Learning
-- The relationship between the height of blocks on the board at the start of the Episode and the change in AI performance -- AI2025-8 |
Masafumi MUkaida (KUTE), Danushka Bollegala (The University of Liverpool), Naiwala P. Chandrasiri (KUTE) |
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12:20-13:30 |
Lunch Break ( 70 min. ) |
Tue, Jul 8 PM
13:30 - 14:50 |
| (9) |
13:30-13:50 |
Addressing Prompt Injection via Dataset Augmentation through Iterative Interactions among LLM Agents AI2025-9 |
Go Sato (UEC), Shusaku Egami (AIST), Yasuyuki Tahara, Akihiko Ohsuga, Yuichi Sei (UEC) |
| (10) |
13:50-14:10 |
The analysis of kokkai records by LLM AI2025-10 |
Isshin Nakao, Yutaka Arakawa, Tsunenori Mine (Kyushu Univ.) |
| (11) |
14:10-14:30 |
A Study on Assignment of AI Agents by Complex Matching Based on Design Utility AI2025-11 |
Shun Okuhara (MU), Takayuki Ito (KU) |
| (12) |
14:30-14:50 |
Effect of the GA-based Nash Welfare Mediator for Large-scale Automated Negotiation AI2025-12 |
Takayuki Ito (KU) |
| Announcement for Speakers |
| General Talk | Each speech will have 15 minutes for presentation and 5 minutes for discussion. |
| Contact Address and Latest Schedule Information |
| AI |
Technical Committee on Artificial Intelligence and Knowledge-Based Processing (AI) [Latest Schedule]
|
| Contact Address |
Secretaries of Special Interested Group of Artificial Intelligence and Knowledge
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Last modified: 2025-06-02 19:05:16
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