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

19–23 Jan 2026
Asia/Tokyo timezone

Contribution List

48 out of 48 displayed
  1. 1. Welcome
    Prof. Mihoko NOJIRI (KEK)
    19/01/2026, 09:50
  2. 2. AI and Machine Learning Application in Experimental High Energy Physics
    Liang Li (Shanghai Jiao Tong University)
    19/01/2026, 10:00
  3. 3. AI on the Path to Discovery
    Gregor Kasieczka (U. Hamburg)
    19/01/2026, 10:45
  4. 4. ACAT flag handover ceremony
    Gregor Kasieczka (U. Hamburg), Prof. Marco Meyer-Conde (Tokyo City University)
    19/01/2026, 11:30
  5. 5. tentative: Machine Learning for Lattice QCD
    Prof. Akio Tomiya (TWU/Kyoto Univ.)
    19/01/2026, 13:00
  6. 6. Artificial intelligence as a subject of natural science? –Exploring and exploiting AI in vision tasks–
    Prof. Yuta Nakashima (U. Osaka)
    19/01/2026, 13:45
  7. 7. Foundational Models for HEP and beyond
    Prof. Vinicius Mikuni (KMI, Nagoya U.)
    19/01/2026, 15:00
  8. 8. Data-driven hadronization models
    Dr Ayodele Ore (Heidelberg University, ITP)
    19/01/2026, 15:45
  9. 12. CoLLM: Vibe engineering in HEP (Collider LLM)
    Ahmed HAMMAD
    19/01/2026, 16:30
  10. 10. Foundation model for Unified Understanding and Generation of Collider Data
    Dr Yulei Zhang (U. Washington)
    19/01/2026, 16:45
  11. 11. (*)Multi-agents system for analysis automation
    Dr Ke Li (IHEP)
    19/01/2026, 17:00
  12. 9. (*)Foundation Model for Decay Event Classification at BESIII
    Dr Jingde Chen (IHEP)
    19/01/2026, 17:15
  13. 13. Learning to find weird particles
    Prof. Daniel Whiteson Whiteson (UC Irvine)
    20/01/2026, 13:00
  14. 14. Real-Time AI at the Edge: Decoding Particles, Brains, and the Cosmos
    Prof. Shih-Chieh Hsu (U. Washington)
    20/01/2026, 13:45

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

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  15. 15. Domain adaptation in colliders: reconcile simulation and data
    Shang-Fu Wei (U. Tokyo)
    20/01/2026, 15:00
  16. 16. Higgs Production Classifier using Weak Supervision
    Feng-Yang Hsieh (National Taiwan University)
    20/01/2026, 15:15
  17. 17. Development of particle flow algorithm with GNN for the future Higgs factories
    Tatsuki Mirata (U.Tokyo)
    20/01/2026, 15:30
  18. 18. Unbinned Unfolding in the Presence of Nuisance Parameters
    Huanbiao (Richard) Zhu (Carnegie Mellon University)
    20/01/2026, 15:45
  19. 19. Research on Improving Jet Flavor Tagging Precision in the ILC Using the Particle Transformer
    Takahiro Kawahara (U. Tokyo)
    20/01/2026, 16:10
  20. 20. Quantum Integration Networks for Efficient Monte Carlo in High-Energy Physics
    Heechan Yi (Yonsei University)
    20/01/2026, 16:20
  21. 21. Investigating the Invisible Higgs Coupling at a Muon Collider
    Yongik Jang (Kyungpook National University)
    20/01/2026, 16:30
  22. 22. Deep Learning Application in the Visible Decay Search for Dark Photons with DarkSHINE Experiment
    Zejia Lu (Shanghai Jiao Tong University)
    20/01/2026, 16:40
  23. 23. Physics of Machine Learning
    Prof. Gert Aarts (Swansea University)
    21/01/2026, 10:00
  24. 24. Status on Generative Unfolding
    Dr Sofia Palacios Schweitzer (Rutgers U.)
    21/01/2026, 10:45
  25. 25. Solving complex inverse problems with differentiations
    Prof. Shuzhe Shi (Tsinghua University)
    21/01/2026, 13:00
  26. 26. Man, Machine, and Mathematics
    Dr Akshunna S. Dogra (MIT / IAIFI)
    21/01/2026, 13:45
  27. 27. Neural network wavefunctions for SU(2) lattice gauge theory
    Thomas Spriggs (QuTech and Kavli Institute of Nanoscience, Delft)
    21/01/2026, 15:00
  28. 28. Machine Learning-Based Estimation of Cumulants of Chiral Condensate via Multi-Ensemble Reweighting with Deborah.jl
    Dr Benjamin Jaedon Choi (Center for Computational Sciences, University of Tsukuba)
    21/01/2026, 15:15
  29. 29. 4D QCD EoS from a Quasi-Parton Model via Physics-Informed Neural Network
    Dr Fu-Peng Li (Fudan U.)
    21/01/2026, 15:30
  30. 30. Exploration of the string theory landscape: 20 million vacua and their properties
    Prof. Yuta Hamada (KEK)
    21/01/2026, 15:45
  31. 31. Exact CHY Integrand Construction Using Combinatorial Neural Networks and Discrete Optimization
    Simeng Li (School of Physics, Ningxia University)
    21/01/2026, 16:10
  32. 32. Solving Olympic-level physical problems with LOCA
    Xiang Li (Peking University)
    21/01/2026, 16:25
  33. 33. The Future of Computing and How Physicists Can Survive It
    Shivasankar K. Arunachalam (Hokkaido University)
    21/01/2026, 16:40
  34. 34. (*)Deep Learning for QCD EoS
    Prof. LongGang Pang (Central China Normal University)
    22/01/2026, 10:00
  35. 35. (*)AI for Holographic QCD
    Prof. Mei Huang (University of Chinese Academy of Sciences (UCAS))
    22/01/2026, 10:45
  36. 36. AI in cosmology
    Prof. Leander Thiele (Kavli IPMU)
    22/01/2026, 13:00
  37. 37. Glitch noise classification in KAGRA O3GK observing data using unsupervised machine learning
    Prof. Shoichi Oshino (ICRR, U. Tokyo)
    22/01/2026, 13:45
  38. 38. Bridging Gravitational Wave and High-Energy Physics Software
    Prof. Marco Meyer-Conde Meyer-Conde (Tokyo City University)
    22/01/2026, 15:00
  39. 39. Accelerating Primordial Black Hole Phenomenology: An Operator Learning Approach
    Dr Tae-Geun Kim (Fudan U. / RIKEN)
    22/01/2026, 15:30
  40. 40. Machine Learning-based glitch segmentation with Wavelet Transform in LVK detectors data
    Dr Christopher Alléné Alléné (Tokyo City U.)
    22/01/2026, 15:45
  41. 41. (*)Unbinned, High-Dimensional Precision Measurements through Modern Machine
    Dr Jingjing Pan (KIT)
    22/01/2026, 16:00
  42. 48. AeBCD: Model-agnostic BSM searches with Auto-encoder & ABCD method
    Kazuki Sakurai (Warsaw)
    22/01/2026, 16:15
  43. 42. Classification of simulated gravitational-wave signals from core-collapse supernovae using machine learning
    Prof. Yusuke Sakai (Tokyo City University)
    23/01/2026, 10:00
  44. 43. (*)Holistic Analysis and Color Singlet identification for the Higgs factory
    Prof. Manqi Ruan (IHEP)
    23/01/2026, 10:45
  45. 44. Holography and Optimal Transport”
    Prof. Koji Hashimoto (Kyoto U.)
    23/01/2026, 13:00
  46. 45. Understanding Galactic Dark Matter with Generative Models
    Dr Sung Hak Lim (CTPU-PTC, IBS)
    23/01/2026, 13:45
  47. 46. Overview of the 2025 AI+HEP Community Survey in China
    Prof. Tianji Chai (Tongji U.)
    23/01/2026, 14:15
  48. 47. Closing remarks
    Dr Lingxiao Wang (RIKEN / U. Tokyo)
    23/01/2026, 14:30