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

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Description

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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
Participants
  • Ahmed Hammad
  • Akshunna S. Dogra
  • Ayodele Ore
  • Benjamin Jaedon Choi
  • Chong Shik Park
  • Christopher Alléné
  • Daniel Whiteson
  • Dong Woo Kang
  • Fu-Peng Li
  • Gert Aarts
  • Gregor Kasieczka
  • Hiroshi Ohno
  • Ho Hsiao
  • Houbing Jiang
  • Huilin Qu
  • HYANGKYU PARK
  • Jiangnan Biguo
  • Jinheung Kim
  • Junichi Tanaka
  • Kazuki Sakurai
  • Ke Li
  • Koji Hara
  • Leander Thiele
  • Lingxiao Wang
  • LongGang Pang
  • Manqi Ruan
  • Marco Meyer-Conde
  • Mihoko NOJIRI
  • Motoi ENDO
  • Muhammad Farooq
  • Pak Yiu Liu
  • Shang-Fu Wei
  • Shih-Chieh Hsu
  • Shivasankar Kandasamy Arunachalam
  • Shoichi Oshino
  • Shuzhe Shi
  • Soojin Lee
  • Sourav Dey
  • Sung Hak Lim
  • Tae-Geun Kim
  • Taikan Suehara
  • Taiki Kamiyama
  • Takahiro Kawahara
  • Teng Li
  • Thomas Spriggs
  • Tianji Cai
  • Toru Tsuboyama
  • Toshiaki Kaji
  • Vinicius Mikuni
  • Xiang Li
  • Yeji Park
  • Yongik Jang
  • Yusuke Sakai
  • Yuta Hamada
  • Yuta Nakashima
  • +31
  • Monday, 19 January
    • 1
      Welcome
      Speaker: Prof. Mihoko NOJIRI (KEK)
    • 2
      AI and Machine Learning Application in Experimental High Energy Physics
      Speaker: Liang Li (Shanghai Jiao Tong University)
      Liang_Li.pdf
    • 3
      AI on the Path to Discovery
      Speaker: Gregor Kasieczka (U. Hamburg)
      Gregor_Kasieczka.pdf
    • 4
      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
    • 5
      tentative: Machine Learning for Lattice QCD
      Speaker: Prof. Akio Tomiya (TWU/Kyoto Univ.)
      KEKtalk.pdf
    • 6
      Artificial intelligence as a subject of natural science? –Exploring and exploiting AI in vision tasks–
      Speaker: Prof. Yuta Nakashima (U. Osaka)
      Yuta_Nakashima.pdf
    • 7
      Foundational Models for HEP and beyond
      Speaker: Prof. Vinicius Mikuni (KMI, Nagoya U.)
      Vinicius_Mikuni.pdf
    • 8
      Data-driven hadronization models
      Speaker: Dr Ayodele Ore (Heidelberg University, ITP)
      Ayodele_Ore.pdf
    • 9
      CoLLM: Vibe engineering in HEP (Collider LLM)
      Speaker: Ahmed HAMMAD
      CoLLM_Hammad-1.pdf
    • 10
      Foundation model for Unified Understanding and Generation of Collider Data
      Speaker: Dr Yulei Zhang (U. Washington)
      Yulei_Zhang.docx
    • 11
      (*)Multi-agents system for analysis automation
      Speaker: Dr Ke Li (IHEP)
      Ke_Li.pdf
    • 12
      (*)Foundation Model for Decay Event Classification at BESIII
      Speaker: Dr Jingde Chen (IHEP)
      Jingde_Chen.pdf
  • Tuesday, 20 January
    • 13
      Learning to find weird particles
      Speaker: Prof. Daniel Whiteson Whiteson (UC Irvine)
      Tatsuki_Murata.pdf
    • 14
      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
      Domain adaptation in colliders: reconcile simulation and data
      Speaker: Shang-Fu Wei (U. Tokyo)
      Shang_Fu.pdf
    • 16
      Higgs Production Classifier using Weak Supervision
      Speaker: Feng-Yang Hsieh (National Taiwan University)
      Feng-Yang.pdf
    • 17
      Development of particle flow algorithm with GNN for the future Higgs factories
      Speaker: Tatsuki Mirata (U.Tokyo)
      Tatsuki_Murata-3.pdf
    • 18
      Unbinned Unfolding in the Presence of Nuisance Parameters
      Speaker: Huanbiao (Richard) Zhu (Carnegie Mellon University)
      Richard_Zhu.pdf
    • 19
      Research on Improving Jet Flavor Tagging Precision in the ILC Using the Particle Transformer
      Speaker: Takahiro Kawahara (U. Tokyo)
      Takahiro_Kawahara.pdf
    • 20
      Quantum Integration Networks for Efficient Monte Carlo in High-Energy Physics
      Speaker: Heechan Yi (Yonsei University)
      Heechan.pdf
    • 21
      Investigating the Invisible Higgs Coupling at a Muon Collider
      Speaker: Yongik Jang (Kyungpook National University)
      Yongik_Jang.pdf
    • 22
      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
    • 23
      Physics of Machine Learning
      Speaker: Prof. Gert Aarts (Swansea University)
      1 Gert_Aarts.pdf
    • 24
      Status on Generative Unfolding
      Speaker: Dr Sofia Palacios Schweitzer (Rutgers U.)
      2 Sofia_Palacios.pdf
    • 25
      Solving complex inverse problems with differentiations
      Speaker: Prof. Shuzhe Shi (Tsinghua University)
      InverseProblem_Shi.pdf
    • 26
      Man, Machine, and Mathematics
      Speaker: Dr Akshunna S. Dogra (MIT / IAIFI)
      5 Akshunna.pdf
    • 27
      Neural network wavefunctions for SU(2) lattice gauge theory
      Speaker: Thomas Spriggs (QuTech and Kavli Institute of Nanoscience, Delft)
      5 Thomas_Spriggs.pdf
    • 28
      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
    • 29
      4D QCD EoS from a Quasi-Parton Model via Physics-Informed Neural Network
      Speaker: Dr Fu-Peng Li (Fudan U.)
      7 FuPeng_Li.pdf
    • 30
      Exploration of the string theory landscape: 20 million vacua and their properties
      Speaker: Prof. Yuta Hamada (KEK)
      8 Yuta_Hamada.pdf
    • 31
      Exact CHY Integrand Construction Using Combinatorial Neural Networks and Discrete Optimization
      Speaker: Simeng Li (School of Physics, Ningxia University)
      9 Simeng_Li.pdf
    • 32
      Solving Olympic-level physical problems with LOCA
      Speaker: Xiang Li (Peking University)
      10 Xiang_Li.pdf
    • 33
      The Future of Computing and How Physicists Can Survive It
      Speaker: Shivasankar K. Arunachalam (Hokkaido University)
  • Thursday, 22 January
    • 34
      (*)Deep Learning for QCD EoS
      Speaker: Prof. LongGang Pang (Central China Normal University)
      1 LongGang_Pang.pdf
    • 35
      (*)AI for Holographic QCD
      Speaker: Prof. Mei Huang (University of Chinese Academy of Sciences (UCAS))
      2 Mei Huang.pdf
    • 36
      AI in cosmology
      Speaker: Prof. Leander Thiele (Kavli IPMU)
      3 Leander_Thiele.pdf
    • 37
      Glitch noise classification in KAGRA O3GK observing data using unsupervised machine learning
      Speaker: Prof. Shoichi Oshino (ICRR, U. Tokyo)
      4 Oshino.pdf
    • 38
      Bridging Gravitational Wave and High-Energy Physics Software
      Speaker: Prof. Marco Meyer-Conde Meyer-Conde (Tokyo City University)
      4 Meyer_Marco.pdf
    • 39
      Accelerating Primordial Black Hole Phenomenology: An Operator Learning Approach
      Speaker: Dr Tae-Geun Kim (Fudan U. / RIKEN)
      6 TGKim.pdf
    • 40
      Machine Learning-based glitch segmentation with Wavelet Transform in LVK detectors data
      Speaker: Dr Christopher Alléné Alléné (Tokyo City U.)
      7 Allene_Christopher.pdf
    • 41
      (*)Unbinned, High-Dimensional Precision Measurements through Modern Machine
      Speaker: Dr Jingjing Pan (KIT)
      8 Jing.pdf
    • 42
      AeBCD: Model-agnostic BSM searches with Auto-encoder & ABCD method
      Speaker: Kazuki Sakurai (Warsaw)
      9 Sakurai.pdf
  • Friday, 23 January
    • 43
      Classification of simulated gravitational-wave signals from core-collapse supernovae using machine learning
      Speaker: Prof. Yusuke Sakai (Tokyo City University)
    • 44
      (*)Holistic Analysis and Color Singlet identification for the Higgs factory
      Speaker: Prof. Manqi Ruan (IHEP)
    • 45
      Holography and Optimal Transport”
      Speaker: Prof. Koji Hashimoto (Kyoto U.)
    • 46
      Understanding Galactic Dark Matter with Generative Models
      Speaker: Dr Sung Hak Lim (CTPU-PTC, IBS)
    • 47
      Overview of the 2025 AI+HEP Community Survey in China
      Speaker: Prof. Tianji Chai (Tongji U.)
    • 48
      Closing remarks
      Speaker: Dr Lingxiao Wang (RIKEN / U. Tokyo)
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