Name: The 2nd "AI+HEP in East Asia" workshop
Start: 2026-01-19T09:50:00+09:00
End: 2026-01-23T14:45:00+09:00
Location: No location set

The 2nd "AI+HEP in East Asia" workshop

from Monday, January 19, 2026 (9:50 AM) to Friday, January 23, 2026 (2:45 PM)

Monday, January 19, 2026
9:50 AM Welcome - Mihoko NOJIRI (KEK)
Welcome
- Mihoko NOJIRI (KEK)
9:50 AM - 10:00 AM
10:00 AM 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 AM - 10:45 AM
10:45 AM TBA - Gregor Kasieczka (U. Hamburg)
TBA
- Gregor Kasieczka (U. Hamburg)
10:45 AM - 11:30 AM
11:30 AM ACAT flag handover ceremony - Marco Meyer-Conde (Tokyo City University) Gregor Kasieczka (U. Hamburg)
ACAT flag handover ceremony
- Marco Meyer-Conde (Tokyo City University)
- Gregor Kasieczka (U. Hamburg)
11:30 AM - 11:35 AM
1:00 PM TBA - Akio Tomiya (TWU/Kyoto Univ.)
TBA
- Akio Tomiya (TWU/Kyoto Univ.)
1:00 PM - 1:45 PM
1:45 PM TBA - Yuta Nakashima (U. Osaka)
TBA
- Yuta Nakashima (U. Osaka)
1:45 PM - 2:30 PM
3:00 PM Foundational Models for HEP and beyond - Vinicius Mikuni (KMI, Nagoya U.)
Foundational Models for HEP and beyond
- Vinicius Mikuni (KMI, Nagoya U.)
3:00 PM - 3:45 PM
3:45 PM Data-driven hadronization models - Ayodele Ore (Heidelberg University, ITP)
Data-driven hadronization models
- Ayodele Ore (Heidelberg University, ITP)
3:45 PM - 4:15 PM
4:30 PM Foundation Model for Decay Event Classification at BESIII - Jingde Chen (IHEP)
Foundation Model for Decay Event Classification at BESIII
- Jingde Chen (IHEP)
4:30 PM - 4:45 PM
4:45 PM 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)
4:45 PM - 5:00 PM
5:00 PM Multi-agents system for analysis automation - Ke Li (IHEP)
Multi-agents system for analysis automation
- Ke Li (IHEP)
5:00 PM - 5:15 PM
5:15 PM DLScanner: A parameter space sampling assisted by deep learning methods - Ahmed HAMMAD
DLScanner: A parameter space sampling assisted by deep learning methods
- Ahmed HAMMAD
5:15 PM - 5:30 PM
Tuesday, January 20, 2026
1:00 PM Learning to find weird particles - Daniel Whiteson Whiteson (UC Irvine)
Learning to find weird particles
- Daniel Whiteson Whiteson (UC Irvine)
1:00 PM - 1:45 PM
1:45 PM 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)
1:45 PM - 2:30 PM
3:00 PM 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)
3:00 PM - 3:15 PM
3:15 PM Higgs Production Classifier using Weak Supervision - Feng-Yang Hsieh (National Taiwan University)
Higgs Production Classifier using Weak Supervision
- Feng-Yang Hsieh (National Taiwan University)
3:15 PM - 3:30 PM
3:30 PM 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)
3:30 PM - 3:45 PM
3:45 PM 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)
3:45 PM - 4:00 PM
4:10 PM 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)
4:10 PM - 4:20 PM
4:20 PM 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)
4:20 PM - 4:30 PM
4:30 PM 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)
4:30 PM - 4:40 PM
4:40 PM 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)
4:40 PM - 4:55 PM
Wednesday, January 21, 2026
10:00 AM Physics of Machine Learning and Diffusion Models - Gert Aarts (Swansea University)
Physics of Machine Learning and Diffusion Models
- Gert Aarts (Swansea University)
10:00 AM - 10:45 AM
10:45 AM Status on Generative Unfolding - Sofia Palacios Schweitzer (Rutgers U.)
Status on Generative Unfolding
- Sofia Palacios Schweitzer (Rutgers U.)
10:45 AM - 11:30 AM
1:00 PM Solving complex inverse problems with differentiations - Shuzhe Shi (Tsinghua University)
Solving complex inverse problems with differentiations
- Shuzhe Shi (Tsinghua University)
1:00 PM - 1:45 PM
1:45 PM Man, Machine, and Mathematics - Akshunna S. Dogra (MIT / IAIFI)
Man, Machine, and Mathematics
- Akshunna S. Dogra (MIT / IAIFI)
1:45 PM - 2:30 PM
3:00 PM 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)
3:00 PM - 3:15 PM
3:15 PM 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)
3:15 PM - 3:30 PM
3:30 PM 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.)
3:30 PM - 3:45 PM
3:45 PM 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)
3:45 PM - 4:00 PM
4:10 PM 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)
4:10 PM - 4:25 PM
4:25 PM Solving Olympic-level physical problems with LOCA - Xiang Li (Peking University)
Solving Olympic-level physical problems with LOCA
- Xiang Li (Peking University)
4:25 PM - 4:40 PM
4:40 PM 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)
4:40 PM - 4:55 PM
Thursday, January 22, 2026
10:00 AM Deep Learning for QCD EoS - LongGang Pang (Central China Normal University)
Deep Learning for QCD EoS
- LongGang Pang (Central China Normal University)
10:00 AM - 10:45 AM
10:45 AM 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 AM - 11:30 AM
1:00 PM AI in cosmology - Leander Thiele (Kavli IPMU)
AI in cosmology
- Leander Thiele (Kavli IPMU)
1:00 PM - 1:45 PM
1:45 PM 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)
1:45 PM - 2:30 PM
3:00 PM 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)
3:00 PM - 3:30 PM
3:30 PM 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)
3:30 PM - 3:45 PM
3:45 PM 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.)
3:45 PM - 4:00 PM
4:00 PM Unbinned, High-Dimensional Precision Measurements through Modern Machine - Jingjing Pan (KIT)
Unbinned, High-Dimensional Precision Measurements through Modern Machine
- Jingjing Pan (KIT)
4:00 PM - 4:15 PM
Friday, January 23, 2026
10:00 AM 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 AM - 10:45 AM
10:45 AM 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 AM - 11:30 AM
1:00 PM TBA - Koji Hashimoto (Kyoto U.)
TBA
- Koji Hashimoto (Kyoto U.)
1:00 PM - 1:45 PM
1:45 PM 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)
1:45 PM - 2:15 PM
2:15 PM 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.)
2:15 PM - 2:30 PM
2:30 PM Closing remarks - Lingxiao Wang (RIKEN / U. Tokyo)
Closing remarks
- Lingxiao Wang (RIKEN / U. Tokyo)
2:30 PM - 2:45 PM