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, 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