Minisymposium at the 10th International Congress on Industrial and Applied Mathematics

August 20-25, 2023


Geometric deep learning has important applications in the fields of quantum computing, 3D perception, molecular designs, and the discovery of mathematical theorems. It takes account of properties such as invariance and equivariance. Many existing structure-aware deep networks lack rigorous theoretical foundations of desired properties in modelling, such as network stability, interpretability, and efficient computation. This workshop will gather researchers from mathematics and computer sciences to provide a forum to establish diverse mathematical theories for geometric deep learning, such as harmonic analysis, algebraic topology, algebraic geometry, combinatorics, differential geometry, differential equations, graph theory, approximation theory, statistics, and theoretical computer science.


Event Photos

Photos can be found at Google Drive:

ICIAM Program

The congress schedule can be found at
For our MS, the schedule can be seen below, and also

Zoom Event

Our minisymposium is in hybrid format of in person talks and online talks.
Zoom for online talks:
For non-registered participants, use the following link: Join from PC, Mac, Linux, iOS or Android:
Meeting ID: 83673273013
Password: 152671

Direction to Session Venure

Our session is in the campus of Waseda University E812 of Building 11.

Waseda map

To Submit Talk

Please log in the submission system at
Then choose New Submission with Minisymposium Identifier Code [MIC] as VS6WWB55
There you can submit your talk and author information to be reviewed.
The talk title and abstract and your bio will also be put on the this website.
Please make submission at least one week before the submission deadline April 20, 2023.


Registration deadline of the ICIAM 2023 is April 10, 2023.
The registration information (fees) can be found
Registration page needs to also log in

Visa Support / Invitation Letter

You will need a registration number to obtain an invitation letter for visa application.
Visa support can be applied in
The cost of visa support is included in the registration fee.

Hotel Reservation

During the conference time period, hotels in Tokyo are expected to be crowded. We highly recommend that you make your hotel reservations as soon as possible. In order to assist you, we have partnered with Waseda University Academic Solutions, Inc. (WAS) to offer discounted rates for hotel rooms. WAS, a subsidiary of Waseda University, has been providing administrative solutions for universities for many years.
To access the hotel reservation page, please visit the ICIAM 2023 website. Please note that the number of available rooms is limited, and we encourage you to carefully read the cancellation policy and take responsibility for any cancellations. It is important to note that many of the rooms offered at the discounted price will be closed by the end of March 2023. To make a reservation, please contact WAS directly. For hotel information, please refer to

Flight Ticket Reservations

To assist with your travel plans, we have requested that WAS offer flight reservation support.
If you would like to reserve flights through WAS, please contact them directly
after carefully reviewing the cancellation policy and assuming responsibility for any cancellations.
Flight reservation support:


For those with children, the organizers are providing childcare during the conference:

Keynote Speakers


Xiaowen Dong

University of Oxford

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Gitta Kutyniok

Ludwig Maximilian University of Munich

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Guido Montúfar


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Cristian Bodnar

Microsoft Research

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Francesco Di Giovanni

University of Cambridge

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Invited Speakers


Ningyuan (Teresa) Huang

Johns Hopkins University

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Lin Liu

Shanghai Jiao Tong University

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Qi Ye

South China Normal University

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Yiqing Shen

Johns Hopkins University

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Sho Sonoda


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Huan Xiong

Harbin Institute of Technology

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Junyu Xuan

University of Technology Sydney

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Mengjia Xu

Massachusetts Institute of Technology

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Kai Yi

Kai Yi

The University of New South Wales

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Xiaosheng Zhuang

City University of Hong Kong

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Dongmian Zou

Duke Kunshan University

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Xinliang Liu


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Challenger Mishra

University of Cambridge

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Jialin Chen

Jialin Chen

Yale University

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The ICIAM 2023 Conference sessions will be held on the Tokyo local afternoon (UTC+9) over two days, August 21 and August 22. Keynote speakers are allotted 30 minutes and invited speakers 20 minutes including Q&A. On August 21, sessions will be held in Room 1C (13:30-15:00) and Room 1D (15:30-17:10). On August 22, sessions will be in Room 1E (13:30-15:00) and Room 2C (15:30-17:10). * indicates keynote speakers.

Zoom for online talks:

For non-registered participants, use the following link: Join from PC, Mac, Linux, iOS or Android:
Meeting ID: 83673273013
Password: 152671

Date Time (Tokyo) Room Speaker Title
Day 1
Aug 21 13:20 E812 Yuguang Wang (SJTU) Opening Remarks
Aug 21 13:30 E812 Xiaowen Dong (Oxford)* On the stability of spectral graph filters and beyond
Aug 21 14:00 E812 Xiaosheng Zhuang (CityU HK) Spherical Framelets with Directionality for Spherical Neural Networks
Aug 21 14:20 E812 Huan Xiong (HIT & MBZUAI) Some Applications of Hyperplane Arrangements in Deep Learning
Aug 21 14:40 E812 Yiqing Shen (JHU) Graph-Structured Knowledge Enhanced Large Language Model
Aug 21 15:00 Lobby Tea break
Aug 21 15:30 E812 Qi Ye (SCNU) Machine Learning in Banach Spaces: A Black-box or White-box Method?
Aug 21 15:50 E812 Dongmian Zou (DKU) Stable Hyperbolic Neural Networks for Graph Generation and Classification
Aug 21 16:10 E812 Teresa Huang (JHU) Spectral-Inspired Graph Neural Networks
Aug 21 16:30 Online Cristian Bodnar (Microsoft)* Geometric Deep Learning from a Topological Viewpoint
Aug 21 17:10 Lobby Tea break
Aug 21 17:40 E812 Junyu Xuan (UTS) Negative sampling for graph neural networks based on determinantal point processes
Aug 21 18:00 E812 Yuanhong Jiang (SJTU) Scattering Message Passing
Aug 21 18:20 E812 Kai Yi (UNSW) Geometric Diffusion Generative model for protein sequence design
Aug 21 18:40 E812 Sho Sonoda (RIKEN) Ridgelet Transforms of Neural Network on Manifolds and Hilbert Spaces
Aug 21 19:00 Online Francesco Di Giovanni (Cambridge)* On oversquashing and expressivity: can GNNs mix variables?
Aug 21 19:40 Online Challenger Mishra (Cambridge) Mathematical Conjecture Generation and Machine Intelligence
Day 2
Aug 22 13:20 E812 Guido Montufar (UCLA & MPI)* FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
Aug 22 13:50 E812 Mengjia Xu (BrownU & MIT) DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs
Aug 22 14:10 E812 Lin Liu (SJTU) Root-n consistent semiparametric learning under minimal sparsity conditions
Aug 22 14:30 E812 Yuelin Wang (SJTU) Dynamic systems for neural message passing on graphs


Yu Guang Wang

Shanghai Jiao Tong University

Yuelin Wang

Yuelin Wang
Shanghai Jiao Tong University

Yiqing Shen

Yiqing Shen
Johns Hopkins University

Bingxin Zhou

Shanghai Jiao Tong University


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