MyJP-SIM² Program

Meeting You in JAPAN – Symposium on Innovative Mathematical Minds

March 26–29, 2026 · Hosei University, Koganei Campus, Tokyo, Japan
Conference Venue

法政大学小金井キャンパス西館B1マルチメディアホール
Multimedia Hall, West Building B1, Koganei Campus, Hosei University

📍 Access Map to the West Building

The conference venue is located at No. 2 (West Wing) on the campus map.

📍 Official Campus Map

At a glance
Thursday, March 26
Registration
Friday, March 27
Opening and Sessions A–D
Saturday, March 28
Sessions E–H
Sunday, March 29
Discussion on Research and Education in the Age of AI
Navigation

Jump directly to each day of the symposium.

March 26, 2026 (Thursday)

Time Session Speaker Affiliation Title
13:00–17:00Registration

March 27, 2026 (Friday)

Time Session Speaker Affiliation Title
8:50–9:00Opening
9:00–9:30 A Masaaki Imaizumi University of Tokyo, Department of Basic Science
Analysis on dynamics of deep neural network with high-dimensional structure
9:30–10:00 B Wen Zhou New York University, School of Global Public Health
Optimal Comparison of Network Effects for Sparse Directed Networks with Dependent Edges
10:00–10:30 A Xiaohua Yu University of Gottingen, Department of Agricultural Economics and Rural Development
Forecasting Food Prices with Machine Learning
10:30–10:50Coffee Break
10:50–11:20 B Qian Wu Hosei University
A Freudian Structural Account of Large Language Model Training Philosophy
11:20–11:50 B Shi Chen Waseda University
Nonlinear independent component analysis by AI methods
11:50–12:20 D Yang Feng New York University, School of Global Public Health
Unsupervised Federated Multi-task Learning for Heterogeneous Tasks
12:20–13:50Lunch Break
13:50–14:20 C Junhui Wang Department of Statistics and Data Science, Chinese University of Hong Kong
Learning nonparametric graphical model on heterogeneous network-linked data
14:20–14:50 C Yingying Li Hong Kong University of Science and Technology
Site Percolation Network Models for Event-Driven Systems
14:50–15:20 C Kengo Kato Department of Statistics and Data Science, Cornell University.
Statistical theory for Gromov-Wasserstein distances
15:20–15:40Coffee Break
15:40–16:10 D Daisuke Kurisu University of Tokyo
Geodesic Difference-in-Differences
16:10–16:40 D Shosei Sakaguchi University of Tokyo
The Identification Power of Combining Experimental and Observational Data for Distributional Treatment Effect Parameters
16:40–17:10 D Yoshikazu Terada Graduate School of Engineering Science, The University of Osaka
A Theory of Nonparametric Covariance Function Estimation

March 28, 2026 (Saturday)

Time Session Speaker Affiliation Title
8:30–9:00 E Ziang Liu Hosei University
Integrating Machine Learning and Optimization for Decision Making in Supply Chain Management
9:00–9:30 E Catherine Chunling Liu The Hong Kong Polytechnic University, Department of Data Science & AI
Self-supervised PET ImagingAnalysis of the Whole-body OrganMetabolic Network in Obesity among the General Population
9:30–10:00 E Jin-Ting Zhang National University of Singapore
Distance-Based ANOVA for Testing Equality of Distribution
10:00–10:20Coffee Break
10:20–10:50 F Andrey Vasnev University of Sydney
Corrected Forecast Combinations
10:50–11:20 F Chu-An Liu Institute of Economics, Academia Sinica
Least Squares Averaging Estimation of Additive Partially Linear Models with Imputed Covariates
11:20–11:50 F Binyan Jiang The Hong Kong Polytechnic University, Department of Data Science & AI
False Discovery Rate Control via Bi-Gaussian Mirrors
11:50–12:20 F Wenjie Wang Nanyang Technological University, Economics, School of Social Sciences
Cluster-Robust Inference for Quadratic Forms
12:20–13:50Lunch Break
13:50–14:20 G Yichao Wu University of Illinois Chicago, Department of Mathematics, Statistics & Computer Science
Variable selection for partially linear models and partially global Fréchet regression
14:20–14:50 G Takeru Matsuda The University of Tokyo
Empirical Bayes 1-bit matrix completion
14:50–15:20 G Jinjia Zhou Hosei University, Department of Applied Informatics
Controllable Generative AI for Visual Content
15:20–15:50 G Guillaume Braun Riken AIP - Tokyo
Spectral Gradient Descent Mitigates Anisotropy-Driven Misalignment: A Case Study in Phase Retrieval
15:50–16:10Coffee Break
16:10–16:40 H Wei Luo Zhejiang University, Center for Data Science
On non-redundant and linear operator-based nonlinear dimension reduction
16:40–17:10 H Ben Dai Department of Statistics, The Chinese University of Hong Kong
ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence
17:10–17:40 H Shunta Akiyama Cyberagent, Inc.
Spectral Analysis of Machine Unlearning: A Perspective from Benign Overfitting
17:40–18:10 H Qingfeng Liu Hosei University
Rethinking Monolithic Artificial Superintelligence

March 29, 2026 (Sunday)

Time Session Speaker Affiliation Title
10:00–12:00Discussion on Research and Education in the Age of AI