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

19 Jan 2026, 09:50 → 23 Jan 2026, 14:45 Asia/Tokyo

Program is uploaded! 

important: Registration is now closed. In addtion to the regstration, you need "KEK user registration". Please proceed KEK user registration as soon as possible. 

This regional workshop aims to connect researchers in East Asia and beyond working in the interdisciplinary field of Artificial Intelligence and High Energy Physics (AI+HEP). The main topics covered include machine learning for particle theory, phenomenology, experiments,  lattice simulations, and astrophysics and cosmology, as well as HEP tools for AI.

The workshop will have invited plenary talks, contributed presentations, and ample time for discussions. Both domain experts and those who are interested in exploring the field are welcome to participate, especially postdocs and graduate students. Enthusiastic undergraduates are also warmly welcomed. The goals are to foster a regional research community and to stimulate more collaborations. 

Workshop Venue

Auditorium room, Building #3, KEK, Japan

Invited Speakers:

  

Gert Aarts (Swansea University)

Tianji Cai (Tonjii)

Akshunna S. Dogra (MIT, IAIFI)

Koji Hashimoto (Kyoto) 

Mei Huang (UCAS)

Gregor Kasieczka (Hamburg)

Liang Li (SJTU)

Vincius Mikuni (KMI, Nagoya)

Yuta Nakashima(Osaka)

Shoichi Oshino (Tokyo)

Long-Gang Pang (CCNU) 

Manqi Ruan (IHEP) 

Yusuke Sakai (Osaka)

Shuzhe Shi (THU) 

Leander Thiele (KIPMU)

Akio Tomiya (TWU/KyotoU) TBA

 

 

 

Organizing Committee:

• Tianji Cai (TongjiU)
• Sung Hak Lim (CTPU-PTC, IBS)
• Marco Meyer-Conde (TCU)
• Masahiro Morinaga (UTokyo-ICEPP)
• Lingxiao Wang (RIKEN/UTokyo) 
• Vinicius Mikuni (KMI) 
• Ahmed Hammad (KEK) 
• Mihoko Nojiri (KEK)

Advisory Committee:

• Mihoko M. Nojiri (KEK)
• Satoshi Iso (RIKEN/KEK)
• Koji Hashimoto (KyotoU)
• Yanqing Ma (PekingU)
• David Shih (Rutgers)
• Matthew R. Buckley (Rutgers)
• Gregor Kasieczka (UHamburg)

Past conference

1st AI+HEP in East Asia: https://indico.ibs.re.kr/event/789/

Acknowledgment

This workshop is mainly funded and supported by KEK and RIKEN-iTHEMS in Japan.  The workshop is partly supported by 22H05113, 25H01560 “Foundation of Machine Learning Physics”, Grant in Aid for Transformative Research Areas, and JPMJBY24H9, JST-BOOST Grant, Japan

2nd_AI+HEP_program.pdf

Monday, 19 January

09:50 → 10:00 Welcome

Speaker: Prof. Mihoko NOJIRI (KEK)

10:00 → 10:45 AI and Machine Learning Application in Experimental High Energy Physics

Speaker: Liang Li (Shanghai Jiao Tong University)

Liang_Li.pdf

10:45 → 11:30 AI on the Path to Discovery

Speaker: Gregor Kasieczka (U. Hamburg)

Gregor_Kasieczka.pdf

11:30 → 11:35 ACAT flag handover ceremony

Speakers: Gregor Kasieczka (U. Hamburg), Prof. Marco Meyer-Conde (Tokyo City University)

1150.jpg

MEYER - ACAT Flag Ceremony (2025-_2027).pdf

13:00 → 13:45 tentative: Machine Learning for Lattice QCD

Speaker: Prof. Akio Tomiya (TWU/Kyoto Univ.)

KEKtalk.pdf

13:45 → 14:30 Artificial intelligence as a subject of natural science? –Exploring and exploiting AI in vision tasks–

Speaker: Prof. Yuta Nakashima (U. Osaka)

Yuta_Nakashima.pdf

15:00 → 15:45 Foundational Models for HEP and beyond

Speaker: Prof. Vinicius Mikuni (KMI, Nagoya U.)

Vinicius_Mikuni.pdf

15:45 → 16:15 Data-driven hadronization models

Speaker: Dr Ayodele Ore (Heidelberg University, ITP)

Ayodele_Ore.pdf

16:30 → 16:45 CoLLM: Vibe engineering in HEP (Collider LLM)

Speaker: Ahmed HAMMAD

CoLLM_Hammad-1.pdf

16:45 → 17:00 Foundation model for Unified Understanding and Generation of Collider Data

Speaker: Dr Yulei Zhang (U. Washington)

Yulei_Zhang.docx

17:00 → 17:15 (*)Multi-agents system for analysis automation

Speaker: Dr Ke Li (IHEP)

Ke_Li.pdf

17:15 → 17:30 (*)Foundation Model for Decay Event Classification at BESIII

Speaker: Dr Jingde Chen (IHEP)

Jingde_Chen.pdf

Tuesday, 20 January

13:00 → 13:45 Learning to find weird particles

Speaker: Prof. Daniel Whiteson Whiteson (UC Irvine)

Tatsuki_Murata.pdf

13:45 → 14:30 Real-Time AI at the Edge: Decoding Particles, Brains, and the Cosmos

https://docs.google.com/presentation/d/19mHzKjBNuUHIgBhljE_x2crsKM0ThiHPQhSGQyGfGag/edit?slide=id.g385a0240a1d_0_197#slide=id.g385a0240a1d_0_197

Speaker: Prof. Shih-Chieh Hsu (U. Washington)

link to the talk file

15:00 → 15:15 Domain adaptation in colliders: reconcile simulation and data

Speaker: Shang-Fu Wei (U. Tokyo)

Shang_Fu.pdf

15:15 → 15:30 Higgs Production Classifier using Weak Supervision

Speaker: Feng-Yang Hsieh (National Taiwan University)

Feng-Yang.pdf

15:30 → 15:45 Development of particle flow algorithm with GNN for the future Higgs factories

Speaker: Tatsuki Mirata (U.Tokyo)

Tatsuki_Murata-3.pdf

15:45 → 16:00 Unbinned Unfolding in the Presence of Nuisance Parameters

Speaker: Huanbiao (Richard) Zhu (Carnegie Mellon University)

Richard_Zhu.pdf

16:10 → 16:20 Research on Improving Jet Flavor Tagging Precision in the ILC Using the Particle Transformer

Speaker: Takahiro Kawahara (U. Tokyo)

Takahiro_Kawahara.pdf

16:20 → 16:30 Quantum Integration Networks for Efficient Monte Carlo in High-Energy Physics

Speaker: Heechan Yi (Yonsei University)

Heechan.pdf

16:30 → 16:40 Investigating the Invisible Higgs Coupling at a Muon Collider

Speaker: Yongik Jang (Kyungpook National University)

Yongik_Jang.pdf

16:40 → 16:55 Deep Learning Application in the Visible Decay Search for Dark Photons with DarkSHINE Experiment

Speaker: Zejia Lu (Shanghai Jiao Tong University)

Zejia_Lu.pptx.pdf

Wednesday, 21 January

10:00 → 10:45 Physics of Machine Learning

Speaker: Prof. Gert Aarts (Swansea University)

1 Gert_Aarts.pdf

10:45 → 11:30 Status on Generative Unfolding

Speaker: Dr Sofia Palacios Schweitzer (Rutgers U.)

2 Sofia_Palacios.pdf

13:00 → 13:45 Solving complex inverse problems with differentiations

Speaker: Prof. Shuzhe Shi (Tsinghua University)

InverseProblem_Shi.pdf

13:45 → 14:30 Man, Machine, and Mathematics

Speaker: Dr Akshunna S. Dogra (MIT / IAIFI)

5 Akshunna.pdf

15:00 → 15:15 Neural network wavefunctions for SU(2) lattice gauge theory

Speaker: Thomas Spriggs (QuTech and Kavli Institute of Nanoscience, Delft)

5 Thomas_Spriggs.pdf

15:15 → 15:30 Machine Learning-Based Estimation of Cumulants of Chiral Condensate via Multi-Ensemble Reweighting with Deborah.jl

Speaker: Dr Benjamin Jaedon Choi (Center for Computational Sciences, University of Tsukuba)

6 Benjamin_Choi.pdf

15:30 → 15:45 4D QCD EoS from a Quasi-Parton Model via Physics-Informed Neural Network

Speaker: Dr Fu-Peng Li (Fudan U.)

7 FuPeng_Li.pdf

15:45 → 16:00 Exploration of the string theory landscape: 20 million vacua and their properties

Speaker: Prof. Yuta Hamada (KEK)

8 Yuta_Hamada.pdf

16:10 → 16:25 Exact CHY Integrand Construction Using Combinatorial Neural Networks and Discrete Optimization

Speaker: Simeng Li (School of Physics, Ningxia University)

9 Simeng_Li.pdf

16:25 → 16:40 Solving Olympic-level physical problems with LOCA

Speaker: Xiang Li (Peking University)

10 Xiang_Li.pdf

16:40 → 16:55 The Future of Computing and How Physicists Can Survive It

Speaker: Shivasankar K. Arunachalam (Hokkaido University)

Thursday, 22 January

10:00 → 10:45 (*)Deep Learning for QCD EoS

Speaker: Prof. LongGang Pang (Central China Normal University)

1 LongGang_Pang.pdf

10:45 → 11:30 (*)AI for Holographic QCD

Speaker: Prof. Mei Huang (University of Chinese Academy of Sciences (UCAS))

2 Mei Huang.pdf

13:00 → 13:45 AI in cosmology

Speaker: Prof. Leander Thiele (Kavli IPMU)

3 Leander_Thiele.pdf

13:45 → 14:30 Glitch noise classification in KAGRA O3GK observing data using unsupervised machine learning

Speaker: Prof. Shoichi Oshino (ICRR, U. Tokyo)

4 Oshino.pdf

15:00 → 15:30 Bridging Gravitational Wave and High-Energy Physics Software

Speaker: Prof. Marco Meyer-Conde Meyer-Conde (Tokyo City University)

4 Meyer_Marco.pdf

15:30 → 15:45 Accelerating Primordial Black Hole Phenomenology: An Operator Learning Approach

Speaker: Dr Tae-Geun Kim (Fudan U. / RIKEN)

6 TGKim.pdf

15:45 → 16:00 Machine Learning-based glitch segmentation with Wavelet Transform in LVK detectors data

Speaker: Dr Christopher Alléné Alléné (Tokyo City U.)

7 Allene_Christopher.pdf

16:00 → 16:15 (*)Unbinned, High-Dimensional Precision Measurements through Modern Machine

Speaker: Dr Jingjing Pan (KIT)

8 Jing.pdf

16:15 → 16:30 AeBCD: Model-agnostic BSM searches with Auto-encoder & ABCD method

Speaker: Kazuki Sakurai (Warsaw)

9 Sakurai.pdf

Friday, 23 January

10:00 → 10:45 Classification of simulated gravitational-wave signals from core-collapse supernovae using machine learning

Speaker: Prof. Yusuke Sakai (Tokyo City University)

10:45 → 11:30 (*)Holistic Analysis and Color Singlet identification for the Higgs factory

Speaker: Prof. Manqi Ruan (IHEP)

13:00 → 13:45 Holography and Optimal Transport”

Speaker: Prof. Koji Hashimoto (Kyoto U.)

13:45 → 14:15 Understanding Galactic Dark Matter with Generative Models

Speaker: Dr Sung Hak Lim (CTPU-PTC, IBS)

14:15 → 14:30 Overview of the 2025 AI+HEP Community Survey in China

Speaker: Prof. Tianji Chai (Tongji U.)

14:30 → 14:45 Closing remarks

Speaker: Dr Lingxiao Wang (RIKEN / U. Tokyo)