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

19–23 Jan 2026
Asia/Tokyo timezone

Contribution List

47 / 47
1. Welcome
Prof. Mihoko NOJIRI (KEK)
19/01/2026, 09:50
2. AI and Machine Learning Application in Experimental High Energy Physics
Liang Li (Shanghai Jiao Tong University)
19/01/2026, 10:00
3. TBA
Gregor Kasieczka (U. Hamburg)
19/01/2026, 10:45
4. ACAT flag handover ceremony
Gregor Kasieczka (U. Hamburg), Prof. Marco Meyer-Conde (Tokyo City University)
19/01/2026, 11:30
5. TBA
Prof. Akio Tomiya (TWU/Kyoto Univ.)
19/01/2026, 13:00
6. TBA
Prof. Yuta Nakashima (U. Osaka)
19/01/2026, 13:45
7. Foundational Models for HEP and beyond
Prof. Vinicius Mikuni (KMI, Nagoya U.)
19/01/2026, 15:00
8. Data-driven hadronization models
Dr Ayodele Ore (Heidelberg University, ITP)
19/01/2026, 15:45
9. Foundation Model for Decay Event Classification at BESIII
Dr Jingde Chen (IHEP)
19/01/2026, 16:30
10. Foundation model for Unified Understanding and Generation of Collider Data
Dr Yulei Zhang (U. Washington)
19/01/2026, 16:45
11. Multi-agents system for analysis automation
Dr Ke Li (IHEP)
19/01/2026, 17:00
12. DLScanner: A parameter space sampling assisted by deep learning methods
Ahmed HAMMAD
19/01/2026, 17:15
13. Learning to find weird particles
Prof. Daniel Whiteson Whiteson (UC Irvine)
20/01/2026, 13:00
14. Real-Time AI at the Edge: Decoding Particles, Brains, and the Cosmos
Prof. Shih-Chieh Hsu (U. Washington)
20/01/2026, 13:45
15. Domain adaptation in colliders: reconcile simulation and data
Shang-Fu Wei (U. Tokyo)
20/01/2026, 15:00
16. Higgs Production Classifier using Weak Supervision
Feng-Yang Hsieh (National Taiwan University)
20/01/2026, 15:15
17. Development of particle flow algorithm with GNN for the future Higgs factories
Tatsuki Mirata (U.Tokyo)
20/01/2026, 15:30
18. Unbinned Unfolding in the Presence of Nuisance Parameters
Huanbiao (Richard) Zhu (Carnegie Mellon University)
20/01/2026, 15:45
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. Quantum Integration Networks for Efficient Monte Carlo in High-Energy Physics
Heechan Yi (Yonsei University)
20/01/2026, 16:20
21. Investigating the Invisible Higgs Coupling at a Muon Collider
Yongik Jang (Kyungpook National University)
20/01/2026, 16:30
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. Physics of Machine Learning and Diffusion Models
Prof. Gert Aarts (Swansea University)
21/01/2026, 10:00
24. Status on Generative Unfolding
Dr Sofia Palacios Schweitzer (Rutgers U.)
21/01/2026, 10:45
25. Solving complex inverse problems with differentiations
Prof. Shuzhe Shi (Tsinghua University)
21/01/2026, 13:00
26. Man, Machine, and Mathematics
Dr Akshunna S. Dogra (MIT / IAIFI)
21/01/2026, 13:45
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. 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. 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. Exploration of the string theory landscape: 20 million vacua and their properties
Prof. Yuta Hamada (KEK)
21/01/2026, 15:45
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. Solving Olympic-level physical problems with LOCA
Xiang Li (Peking University)
21/01/2026, 16:25
33. The Future of Computing and How Physicists Can Survive It
Shivasankar K. Arunachalam (Hokkaido University)
21/01/2026, 16:40
34. Deep Learning for QCD EoS
Prof. LongGang Pang (Central China Normal University)
22/01/2026, 10:00
35. AI for Holographic QCD
Prof. Mei Huang (University of Chinese Academy of Sciences (UCAS))
22/01/2026, 10:45
36. AI in cosmology
Prof. Leander Thiele (Kavli IPMU)
22/01/2026, 13:00
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. Bridging Gravitational Wave and High-Energy Physics Software
Prof. Marco Meyer-Conde Meyer-Conde (Tokyo City University)
22/01/2026, 15:00
39. Accelerating Primordial Black Hole Phenomenology: An Operator Learning Approach
Dr Tae-Geun Kim (Fudan U. / RIKEN)
22/01/2026, 15:30
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. Unbinned, High-Dimensional Precision Measurements through Modern Machine
Dr Jingjing Pan (KIT)
22/01/2026, 16:00
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
43. Holistic Analysis and Color Singlet identification for the Higgs factory
Prof. Manqi Ruan (IHEP)
23/01/2026, 10:45
44. TBA
Prof. Koji Hashimoto (Kyoto U.)
23/01/2026, 13:00
45. Understanding Galactic Dark Matter with Generative Models
Dr Sung Hak Lim (CTPU-PTC, IBS)
23/01/2026, 13:45
46. Overview of the 2025 AI+HEP Community Survey in China
Prof. Tianji Chai (Tongji U.)
23/01/2026, 14:15
47. Closing remarks
Dr Lingxiao Wang (RIKEN / U. Tokyo)
23/01/2026, 14:30
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