The 2nd "AI+HEP in East Asia" workshop
from
Monday, 19 January 2026 (09:50)
to
Friday, 23 January 2026 (14:45)
Monday, 19 January 2026
09:50
Welcome
-
Mihoko NOJIRI
(
KEK
)
Welcome
Mihoko NOJIRI
(
KEK
)
09:50 - 10:00
10:00
AI and Machine Learning Application in Experimental High Energy Physics
-
Liang Li
(
Shanghai Jiao Tong University
)
AI and Machine Learning Application in Experimental High Energy Physics
Liang Li
(
Shanghai Jiao Tong University
)
10:00 - 10:45
10:45
AI on the Path to Discovery
-
Gregor Kasieczka
(
U. Hamburg
)
AI on the Path to Discovery
Gregor Kasieczka
(
U. Hamburg
)
10:45 - 11:30
11:30
ACAT flag handover ceremony
-
Gregor Kasieczka
(
U. Hamburg
)
Marco Meyer-Conde
(
Tokyo City University
)
ACAT flag handover ceremony
Gregor Kasieczka
(
U. Hamburg
)
Marco Meyer-Conde
(
Tokyo City University
)
11:30 - 11:35
13:00
tentative: Machine Learning for Lattice QCD
-
Akio Tomiya
(
TWU/Kyoto Univ.
)
tentative: Machine Learning for Lattice QCD
Akio Tomiya
(
TWU/Kyoto Univ.
)
13:00 - 13:45
13:45
Artificial intelligence as a subject of natural science? –Exploring and exploiting AI in vision tasks–
-
Yuta Nakashima
(
U. Osaka
)
Artificial intelligence as a subject of natural science? –Exploring and exploiting AI in vision tasks–
Yuta Nakashima
(
U. Osaka
)
13:45 - 14:30
15:00
Foundational Models for HEP and beyond
-
Vinicius Mikuni
(
KMI, Nagoya U.
)
Foundational Models for HEP and beyond
Vinicius Mikuni
(
KMI, Nagoya U.
)
15:00 - 15:45
15:45
Data-driven hadronization models
-
Ayodele Ore
(
Heidelberg University, ITP
)
Data-driven hadronization models
Ayodele Ore
(
Heidelberg University, ITP
)
15:45 - 16:15
16:30
CoLLM: Vibe engineering in HEP (Collider LLM)
-
Ahmed HAMMAD
CoLLM: Vibe engineering in HEP (Collider LLM)
Ahmed HAMMAD
16:30 - 16:45
16:45
Foundation model for Unified Understanding and Generation of Collider Data
-
Yulei Zhang
(
U. Washington
)
Foundation model for Unified Understanding and Generation of Collider Data
Yulei Zhang
(
U. Washington
)
16:45 - 17:00
17:00
(*)Multi-agents system for analysis automation
-
Ke Li
(
IHEP
)
(*)Multi-agents system for analysis automation
Ke Li
(
IHEP
)
17:00 - 17:15
17:15
(*)Foundation Model for Decay Event Classification at BESIII
-
Jingde Chen
(
IHEP
)
(*)Foundation Model for Decay Event Classification at BESIII
Jingde Chen
(
IHEP
)
17:15 - 17:30
Tuesday, 20 January 2026
13:00
Learning to find weird particles
-
Daniel Whiteson Whiteson
(
UC Irvine
)
Learning to find weird particles
Daniel Whiteson Whiteson
(
UC Irvine
)
13:00 - 13:45
13:45
Real-Time AI at the Edge: Decoding Particles, Brains, and the Cosmos
-
Shih-Chieh Hsu
(
U. Washington
)
Real-Time AI at the Edge: Decoding Particles, Brains, and the Cosmos
Shih-Chieh Hsu
(
U. Washington
)
13:45 - 14:30
https://docs.google.com/presentation/d/19mHzKjBNuUHIgBhljE_x2crsKM0ThiHPQhSGQyGfGag/edit?slide=id.g385a0240a1d_0_197#slide=id.g385a0240a1d_0_197
15:00
Domain adaptation in colliders: reconcile simulation and data
-
Shang-Fu Wei
(
U. Tokyo
)
Domain adaptation in colliders: reconcile simulation and data
Shang-Fu Wei
(
U. Tokyo
)
15:00 - 15:15
15:15
Higgs Production Classifier using Weak Supervision
-
Feng-Yang Hsieh
(
National Taiwan University
)
Higgs Production Classifier using Weak Supervision
Feng-Yang Hsieh
(
National Taiwan University
)
15:15 - 15:30
15:30
Development of particle flow algorithm with GNN for the future Higgs factories
-
Tatsuki Mirata
(
U.Tokyo
)
Development of particle flow algorithm with GNN for the future Higgs factories
Tatsuki Mirata
(
U.Tokyo
)
15:30 - 15:45
15:45
Unbinned Unfolding in the Presence of Nuisance Parameters
-
Huanbiao (Richard) Zhu
(
Carnegie Mellon University
)
Unbinned Unfolding in the Presence of Nuisance Parameters
Huanbiao (Richard) Zhu
(
Carnegie Mellon University
)
15:45 - 16:00
16:10
Research on Improving Jet Flavor Tagging Precision in the ILC Using the Particle Transformer
-
Takahiro Kawahara
(
U. Tokyo
)
Research on Improving Jet Flavor Tagging Precision in the ILC Using the Particle Transformer
Takahiro Kawahara
(
U. Tokyo
)
16:10 - 16:20
16:20
Quantum Integration Networks for Efficient Monte Carlo in High-Energy Physics
-
Heechan Yi
(
Yonsei University
)
Quantum Integration Networks for Efficient Monte Carlo in High-Energy Physics
Heechan Yi
(
Yonsei University
)
16:20 - 16:30
16:30
Investigating the Invisible Higgs Coupling at a Muon Collider
-
Yongik Jang
(
Kyungpook National University
)
Investigating the Invisible Higgs Coupling at a Muon Collider
Yongik Jang
(
Kyungpook National University
)
16:30 - 16:40
16:40
Deep Learning Application in the Visible Decay Search for Dark Photons with DarkSHINE Experiment
-
Zejia Lu
(
Shanghai Jiao Tong University
)
Deep Learning Application in the Visible Decay Search for Dark Photons with DarkSHINE Experiment
Zejia Lu
(
Shanghai Jiao Tong University
)
16:40 - 16:55
Wednesday, 21 January 2026
10:00
Physics of Machine Learning
-
Gert Aarts
(
Swansea University
)
Physics of Machine Learning
Gert Aarts
(
Swansea University
)
10:00 - 10:45
10:45
Status on Generative Unfolding
-
Sofia Palacios Schweitzer
(
Rutgers U.
)
Status on Generative Unfolding
Sofia Palacios Schweitzer
(
Rutgers U.
)
10:45 - 11:30
13:00
Solving complex inverse problems with differentiations
-
Shuzhe Shi
(
Tsinghua University
)
Solving complex inverse problems with differentiations
Shuzhe Shi
(
Tsinghua University
)
13:00 - 13:45
13:45
Man, Machine, and Mathematics
-
Akshunna S. Dogra
(
MIT / IAIFI
)
Man, Machine, and Mathematics
Akshunna S. Dogra
(
MIT / IAIFI
)
13:45 - 14:30
15:00
Neural network wavefunctions for SU(2) lattice gauge theory
-
Thomas Spriggs
(
QuTech and Kavli Institute of Nanoscience, Delft
)
Neural network wavefunctions for SU(2) lattice gauge theory
Thomas Spriggs
(
QuTech and Kavli Institute of Nanoscience, Delft
)
15:00 - 15:15
15:15
Machine Learning-Based Estimation of Cumulants of Chiral Condensate via Multi-Ensemble Reweighting with Deborah.jl
-
Benjamin Jaedon Choi
(
Center for Computational Sciences, University of Tsukuba
)
Machine Learning-Based Estimation of Cumulants of Chiral Condensate via Multi-Ensemble Reweighting with Deborah.jl
Benjamin Jaedon Choi
(
Center for Computational Sciences, University of Tsukuba
)
15:15 - 15:30
15:30
4D QCD EoS from a Quasi-Parton Model via Physics-Informed Neural Network
-
Fu-Peng Li
(
Fudan U.
)
4D QCD EoS from a Quasi-Parton Model via Physics-Informed Neural Network
Fu-Peng Li
(
Fudan U.
)
15:30 - 15:45
15:45
Exploration of the string theory landscape: 20 million vacua and their properties
-
Yuta Hamada
(
KEK
)
Exploration of the string theory landscape: 20 million vacua and their properties
Yuta Hamada
(
KEK
)
15:45 - 16:00
16:10
Exact CHY Integrand Construction Using Combinatorial Neural Networks and Discrete Optimization
-
Simeng Li
(
School of Physics, Ningxia University
)
Exact CHY Integrand Construction Using Combinatorial Neural Networks and Discrete Optimization
Simeng Li
(
School of Physics, Ningxia University
)
16:10 - 16:25
16:25
Solving Olympic-level physical problems with LOCA
-
Xiang Li
(
Peking University
)
Solving Olympic-level physical problems with LOCA
Xiang Li
(
Peking University
)
16:25 - 16:40
16:40
The Future of Computing and How Physicists Can Survive It
-
Shivasankar K. Arunachalam
(
Hokkaido University
)
The Future of Computing and How Physicists Can Survive It
Shivasankar K. Arunachalam
(
Hokkaido University
)
16:40 - 16:55
Thursday, 22 January 2026
10:00
(*)Deep Learning for QCD EoS
-
LongGang Pang
(
Central China Normal University
)
(*)Deep Learning for QCD EoS
LongGang Pang
(
Central China Normal University
)
10:00 - 10:45
10:45
(*)AI for Holographic QCD
-
Mei Huang
(
University of Chinese Academy of Sciences (UCAS)
)
(*)AI for Holographic QCD
Mei Huang
(
University of Chinese Academy of Sciences (UCAS)
)
10:45 - 11:30
13:00
AI in cosmology
-
Leander Thiele
(
Kavli IPMU
)
AI in cosmology
Leander Thiele
(
Kavli IPMU
)
13:00 - 13:45
13:45
Glitch noise classification in KAGRA O3GK observing data using unsupervised machine learning
-
Shoichi Oshino
(
ICRR, U. Tokyo
)
Glitch noise classification in KAGRA O3GK observing data using unsupervised machine learning
Shoichi Oshino
(
ICRR, U. Tokyo
)
13:45 - 14:30
15:00
Bridging Gravitational Wave and High-Energy Physics Software
-
Marco Meyer-Conde Meyer-Conde
(
Tokyo City University
)
Bridging Gravitational Wave and High-Energy Physics Software
Marco Meyer-Conde Meyer-Conde
(
Tokyo City University
)
15:00 - 15:30
15:30
Accelerating Primordial Black Hole Phenomenology: An Operator Learning Approach
-
Tae-Geun Kim
(
Fudan U. / RIKEN
)
Accelerating Primordial Black Hole Phenomenology: An Operator Learning Approach
Tae-Geun Kim
(
Fudan U. / RIKEN
)
15:30 - 15:45
15:45
Machine Learning-based glitch segmentation with Wavelet Transform in LVK detectors data
-
Christopher Alléné Alléné
(
Tokyo City U.
)
Machine Learning-based glitch segmentation with Wavelet Transform in LVK detectors data
Christopher Alléné Alléné
(
Tokyo City U.
)
15:45 - 16:00
16:00
(*)Unbinned, High-Dimensional Precision Measurements through Modern Machine
-
Jingjing Pan
(
KIT
)
(*)Unbinned, High-Dimensional Precision Measurements through Modern Machine
Jingjing Pan
(
KIT
)
16:00 - 16:15
16:15
AeBCD: Model-agnostic BSM searches with Auto-encoder & ABCD method
-
Kazuki Sakurai
(
Warsaw
)
AeBCD: Model-agnostic BSM searches with Auto-encoder & ABCD method
Kazuki Sakurai
(
Warsaw
)
16:15 - 16:30
Friday, 23 January 2026
10:00
Classification of simulated gravitational-wave signals from core-collapse supernovae using machine learning
-
Yusuke Sakai
(
Tokyo City University
)
Classification of simulated gravitational-wave signals from core-collapse supernovae using machine learning
Yusuke Sakai
(
Tokyo City University
)
10:00 - 10:45
10:45
(*)Holistic Analysis and Color Singlet identification for the Higgs factory
-
Manqi Ruan
(
IHEP
)
(*)Holistic Analysis and Color Singlet identification for the Higgs factory
Manqi Ruan
(
IHEP
)
10:45 - 11:30
13:00
Holography and Optimal Transport”
-
Koji Hashimoto
(
Kyoto U.
)
Holography and Optimal Transport”
Koji Hashimoto
(
Kyoto U.
)
13:00 - 13:45
13:45
Understanding Galactic Dark Matter with Generative Models
-
Sung Hak Lim
(
CTPU-PTC, IBS
)
Understanding Galactic Dark Matter with Generative Models
Sung Hak Lim
(
CTPU-PTC, IBS
)
13:45 - 14:15
14:15
Overview of the 2025 AI+HEP Community Survey in China
-
Tianji Chai
(
Tongji U.
)
Overview of the 2025 AI+HEP Community Survey in China
Tianji Chai
(
Tongji U.
)
14:15 - 14:30
14:30
Closing remarks
-
Lingxiao Wang
(
RIKEN / U. Tokyo
)
Closing remarks
Lingxiao Wang
(
RIKEN / U. Tokyo
)
14:30 - 14:45