Soto Anno (安納爽響)

Researcher at Network Service Systems Laboratories, NTT Inc., Tokyo, Japan.

Email: soto.anno [at] ntt.com
[CV(ver. 202409)][Google Schalor][GitHub]

Short Biography

I am Soto Anno (安納爽響), a researcher at the Network Service Systems Laboratories, NTT Inc. I obtained Ph.D. degree from the Department of Computer Science at Institute of Science Tokyo (previously known as Tokyo Institute of Technology).

My research interest includes a data-driven understanding/modeling of real worlds, such as urban environments, human mobilities, and our activities in cities. My research interests also include machine learning, deep learning, big data analysis, geographic information systems, urban computing, context-aware computing, and computer vision.

News

2025

[Paper] Jun. 2025. Our paper "City-Scale Early Crowd Forecasting by Capturing Population Flows from Stations through Transit Search and Mobility Logs" was accepted in Journal of Big Data.
[Others] Mar 2025. Received Ph.D. degree from Science Tokyo (previously known as Tokyo Tech).

Publications

Journal Papers (Peer-reviewed)

Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka, "City-Scale Early Crowd Forecasting by Capturing Population Flows from Stations through Transit Search and Mobility Logs," in Journal of Big Data. 2025. (To appear)
Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka, "Forecasting Lifespan of Crowded Events With Acoustic Synthesis-Inspired Segmental Long Short-Term Memory," in IEEE Access, vol. 12, pp. 87309-87322, 2024, doi: 10.1109/ACCESS.2024.3417509. [link]
Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka, "CityOutlook+: Early Crowd Dynamics Forecast Through Unbiased Regression With Importance-Based Synthetic Oversampling" in IEEE Pervasive Computing, vol. 22, no. 04, pp. 26-34, 2023. doi: 10.1109/MPRV.2023.3312652. [link]

International Conferences (Peer-reviewed)

Kaoru Miyanaga, Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka. Revealing Universities' Atmosphere from Visitor Interests Using Search Queries and GPS Logs. Proceedings of the 2024 IEEE International Conference on Big Data (BigData) , pp. 8777-8777, Washington D.C., United States of America, 12 2024. [link].
Soto Anno, Dario Tenore, Kota Tsubouchi, and Masamichi Shimosaka. Are Crowded Events Forecastable from Promotional Announcements with Large Language Models?. In Proceedings of the 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2024), Atlanta, GA, USA, Oct. 29 - Nov. 1. 2024. [link]
Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka. Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports. In Proceedings of the 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2024), Atlanta, GA, USA, Oct. 29 - Nov. 1. 2024. [link]
Yuki Kubota, Soto Anno, Tomomi Taniguchi, Kosei Miyazaki, Akira Tsujimoto, Hiraki Yasuda, Takayuki Sakamoto, Takaaki Ishikawa, Kota Tsubouchi, and Masamichi Shimosaka. 2023. CityScouter: Exploring the Atmosphere of Urban Landscapes and Visitor Demands with Multimodal Data. In Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing (UbiComp/ISWC '23 Adjunct). Association for Computing Machinery, New York, NY, USA, 157–161. [link]
Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka. CityOutlook: Early Crowd Dynamics Forecast towards Irregular Events Detection with Synthetically Unbiased Regression. In Proceedings of the 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2021), Seattle, WA, USA, 2-5 Nov. 2021. [link]
Soto Anno, Kota Tsubouchi, and Masamichi Shimosaka. Supervised-CityProphet: Towards accurate anomalous crowd prediction. In Proceedings of the 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2020), Seattle, WA, USA, 3-6 Nov. 2020. [link]
Soto Anno and Yuichi Sasaki. "GAN-based abnormal detection by recognizing ungeneratable patterns", Asian Conference on Pattern Recognition (ACPR) 2019, Auckland, New Zealand, 26-29 Nov. 2019. [link]

Domestic Conference

早川季寿, 井手海翔, 安納爽響, 坪内孝太, 下坂正倫. 夜間景観画像の雰囲気評価定量予測. 情報処理学会研究報告第86回UBI研究発表会, 東京都小金井市, 2025. [link]
井手海翔, 安納爽響, 坪内孝太, 下坂正倫. LLMによるシーン中の物体の形容記述を用いた景観画像の印象予測. 情報処理学会研究報告第84回UBI研究発表会, 兵庫県淡路市, 2024. [link]
安納爽響, 坪内孝太, 下坂正倫. イベント告知情報と大規模言語モデルに基づくイベント会場周辺の早期群衆混雑予報. 情報処理学会研究報告第 82 回 UBI 研究発表会, 鹿児島県, 2024. [link]
宮永薫, 安納爽響, 坪内孝太, 下坂正倫. トピックモデルと大規模位置履歴を用いた地域ごとの興味関心分布の分析. 情報処理学会研究報告第 81 回 UBI 研究発表会, 福岡県, 2024. [link]
安納爽響, 坪内孝太, 下坂正倫. 敵対的生成モデルに基づく活動人口の波形描画を用いた混雑寿命予報. 情報処理学会研究報告第 80 回 UBI 研究発表会, 兵庫県, 2023. [link]
安納爽響, 坪内孝太, 下坂正倫. 混雑の生起・継続・終了を考慮した状態認識型 RNN に基づく早期群衆混雑予報. 情報処理学会研究報告第 78 回 UBI 研究発表会, 東京都, 2023. [link]
久保田祐輝, 安納爽響, 坪内孝太, 下坂正倫. 景観画像と地理的特性を考慮した都市における雰囲気の定量化. 情報処理学会研究報告第 78 回 UBI 研究発表会, 東京都, 2023. [link]
久保田祐輝, 安納爽響, 谷口智美, 坂本隆之, 辻本顕, 安田啓紀, 宮崎光世, 石川貴明, 坪内孝太, 下坂正倫. 地域特性理解促進のための画像・検索クエリ・GISデータに基づくデジタルマップアプリケーション. 情報処理学会研究報告第73回UBI研究発表会, オンライン開催, 3 2022. [link]
Jinyuan Li, Soto Anno, Takayuki Sakamoto, Hiraki Yasuda, Akira Tsujimoto, Kota Tsubouchi, Masamichi Shimosaka. Caputring spatial distribution of people interests with web quries and location data: A large scale empirical study of metropolises in Japan. 情報処理学会研究報告第 71 回 UBI 研究発表会, 4, 東京都, 9 2021. [link]
安納爽響, 坪内孝太, 下坂正倫. 地域の幾何的関係を考慮したマルチタスク回帰に基づく高性能な都市動態予報. 情報処理学会研究報告第 68 回 UBI 研究発表会, 4, 東京都, 12 2020. [link]
安納爽響, 坪内孝太, 下坂正倫. GPS 位置履歴情報と鉄道の乗換検索履歴を用いた異常混雑事前予測. 情報処理学会研究報告第 66 回 UBI 研究発表会, 4, 東京都, 5 2020. [link]

Awards

Excellent paper award at IPSJ-SIGUBI 84th Workshop, 12, 2024
Excellent student paper award at the 61st Railway Cybernetics Symposium.
IPSJ Yamashita SIG Research Award 2024, 7, 2024
Student paper award at IPSJ-SIGUBI 82nd Workshop, 5, 2024
Excellent paper award at IPSJ-SIGUBI 80th Workshop, 11, 2023
Excellent paper award at IPSJ-SIGUBI 78th Workshop, 6, 2023
Student paper award at IPSJ-SIGUBI 78th Workshop, 6, 2023
Best presentation award at TAC-MI International Forum, 12, 2022
Student paper award at IPSJ-SIGUBI 66th Workshop, 6, 2020

Projects

Education

Doctor of Engineering, April 2022 – March 2025.
- Graduate School of Computing, Tokyo Institute of Technology, Japan
- Research field: Urban Dynamics Analysis, Urban Computing, Big Data Analysis
- Adviser: Prof. Masamichi Shimosaka
Master of Engineering, April 2020 – March 2022.
- Graduate School of Computing, Tokyo Institute of Technology, Japan
- Research field: Urban Dynamics Analysis, Urban Computing, Big Data Analysis
- Adviser: Prof. Masamichi Shimosaka
Bachelor of Engineering, April 2017 – March 2020. (1-year earlier graduation)
- Undergraduate School of Computing, Tokyo Institute of Technology, Japan
- Research field of the bachelor thesis: Urban Dynamics Analysis, Big Data Analysis
- Adviser: Prof. Masamichi Shimosaka

Research & Work Experience

[April. 2025 - Present] Researcher, NTT R&D.
[Sep. 2020 - Mar. 2024] Research internship, Yahoo! JAPAN Research.
[Apr. 2019 - Mar. 2022] AI engineering intern, Neural Pocket Inc..
[Aug. 2018 - Mar. 2022] AI engineering intern, AIQ Co., LTD..

Funding Source

Research Fellowship for Young Scientists (DC1), JSPS. 2022.4-2025.3. [link]

Other Developing Experiences

Developing a web application for smartphone using React + AWS (AppSync, Amplify, Congnito, DynamoDB)

Skills

Programming: Scala, Python, Java, Kotlin, C/C++, JavaScript
Crowd Computing: AWS

Soto Anno (安納 爽響)