Name: 3rd international Workshop on "AI + Astronomy: Models, Data, Discovery"
Start: 2026-10-19T08:30:00+08:00
End: 2026-10-22T20:30:00+08:00
Location: Zhejiang Lab

3rd international Workshop on "AI + Astronomy: Models, Data, Discovery"

from Monday, October 19, 2026 (8:30 AM) to Thursday, October 22, 2026 (8:30 PM)

Monday, October 19, 2026

8:30 AM Registration and Welcome Coffee
Registration and Welcome Coffee
8:30 AM - 9:10 AM
Room: Main Building

9:10 AM Opening Remarks: Opening Remarks
Opening Remarks
9:10 AM - 9:15 AM
Room: Main Building
9:15 AM Keynote Speech
9:15 AM - 10:45 AM
Room: Main Building
Contributions

9:15 AM Title TBD - Jian Wang (Zhejiang Lab)

9:45 AM Title TBD - Jean-Paul Kneib (EPFL)

10:15 AM From Spectra to Scientific Action: Building Trustworthy AI for Astronomical Discovery - ALi Luo (NAOC)
10:45 AM Group photo/Coffee break
Group photo/Coffee break
10:45 AM - 11:05 AM
Room: Zhejiang Hall
11:05 AM Session 1：Astronomy Foundation model
11:05 AM - 12:05 PM
Room: Zhijiang Hall
Contributions

11:05 AM Novel Approaches for Cosmological Survey Analysis - Alexandre Refregier (ETH Zurich)

11:25 AM Towards AI Foundation Models for Large-Scale Structure Cosmology - Tomasz Kacprzak (Fachhochschule Nordwestschweiz FHNW)

11:45 AM How Much Compute Does Good Science Need? Co-Designing AI and Numerical Methods for Astronomy - Denisa-Andreea Constantinescu (University of Basel)
12:05 PM Lunch
Lunch
12:05 PM - 1:30 PM
Room: Cafeteria
1:40 PM Session 1：Astronomy Foundation model
1:40 PM - 3:00 PM
Room: Zhijiang Hall
Contributions

1:40 PM Fuzzy Dark Matter Simulations with Physics-Informed Generative Networks - Emma Tolley (EPFL)

2:12 PM Scientific validation of deep generation model of galaxy images - Shiyin Shen

2:28 PM Code-specialized LLMs in HPC: a case study in radio-astronomy pipeline acceleration - Hamza Chouh (EPFL)

2:44 PM Domain-Informed Representation Learning for Astronomical Light Curves - Yicheng Rui (Tsung-Dao Lee Institute, Shanghai Jiaotong University)
3:00 PM Coffee Break
Coffee Break
3:00 PM - 3:20 PM
Room: Main Building
3:20 PM Session 2：Astronomical Data
3:20 PM - 4:30 PM
Room: Main Building
Contributions

3:20 PM Emulating the complex galactic-scale orbital dynamics of LISA massive black hole pairs with normalizing flows - Pedro R. Capelo (University of Zurich)

3:40 PM Machine Learning for Cosmological Inference - Leander Thiele (Kavli-IPMU)

4:00 PM Title TBD - Nan Li (National Astronomical Observatories, Chinese Academy of Sciences)

4:10 PM On the hunt for XMPGs - Timour Jestin (EPFL)
4:30 PM Coffee break
Coffee break
4:30 PM - 4:50 PM
Room: Main Building
4:50 PM Session 2：Astronomical Data
4:50 PM - 5:30 PM
Room: Main Building
Contributions

4:50 PM Simulation-basedinferenceofcosmologyusingneuralcompression ofmulti-probemaps - Arne Thomsen (ETH Zurich)

4:58 PM From Spectroscopic Redshift Errors to AI-Assisted Diagnostics - Shengyu He (瑞士洛桑理工)

5:06 PM AI for Astrophysical Visualization: New Developments in the VIRUP Project - Florian Cabot (EPFL)

5:14 PM Semi-supervised representational learning for scalable radio source analysis - Markus Bredberg (EPFL)

5:22 PM The Agentic Radiotelescope - Adrien Devresse (Ecole Polytechnique Federale de Lausanne)
6:00 PM Dinner
Dinner
6:00 PM - 8:00 PM
Room: Cafeteria
Tuesday, October 20, 2026
9:10 AM Session 3：Astronomical Tools
9:10 AM - 10:30 AM
Room: Zhijiang Hall
Contributions

9:10 AM Two Frontiers of Radio Astronomy: AI for EHT and SKA Data - Chin-Shin Chang (University of Geneva)

9:30 AM Diagnostics of Intermediate-Mass Black Holes and Ionising Sources - Adele Plat (École Polytechnique Fédérale de Lausanne（EPFL）)

9:50 AM Rethinking Validation for Deep-learning Photometric Redshifts: The Impact of Redshift Distribution Shift - 竹陈 (上海师范大学)

10:10 AM From JWST to ELT/MOSAIC: Deciphering Black Holes and Stellar Populations in the Early Universe - Michaella Hirschmann (EPFL)
10:30 AM Coffee Break
Coffee Break
10:30 AM - 10:50 AM
Room: Main Building
10:50 AM Session 3：Astronomical Tools
10:50 AM - 12:10 PM
Room: Zhijiang Hall
Contributions

11:10 AM The Subaru Prime Focus Spectrograph (PFS) Cosmology Survey: overview and progress - Jiaxi Yu (Kavli IPMU)

11:30 AM Lessons from Physics-Informed Neural Networks: Inverse Problems Across Equations of State - Pau Solé-Vilaró (ICC - Universitat de Barcelona)
12:10 PM Lunch
Lunch
12:10 PM - 1:30 PM
Room: Cafeteria
1:40 PM Session 4：Zhejiang Lab “AI+Science”Discovery
1:40 PM - 3:00 PM
Room: Zhijiang Hall
Contributions

1:40 PM Introduction to the 021 Science Foundation model - Guirong Xue (Zhejiang Lab)

2:00 PM OneAstronomy Introduction - Yongfu Hao (Zhejiang Lab)

2:40 PM A CSST Galaxy Decomposition Agent: From Expert Knowledge to Autonomous Fitting - Manni Duan (Zhejiang Lab)
3:00 PM Coffee Break
Coffee Break
3:00 PM - 3:30 PM
Room: Main Building
3:30 PM Session 4：Zhejiang Lab “AI+Science”Discovery
3:30 PM - 5:00 PM
Room: Zhijiang Hall
Contributions

3:30 PM Accelerating Physics-Based Simulations with Deep Learning - Xuejian Jiang (Zhejiang Lab)

3:50 PM Discrete Tokenization of Continuous Astronomical Spectra for Foundation Models - Zhongyue Chen (Zhejiang Lab)

4:10 PM A Multimodal Foundation Model for Astronomical Object Search and Scientific QA - Kuang Mao (Zhejiang Lab)
6:00 PM Dinner
Dinner
6:00 PM - 8:00 PM
Room: Cafeteria
Wednesday, October 21, 2026

9:30 AM Hands-on Session 1
Hands-on Session 1
9:30 AM - 12:00 PM
Room: Conference Room 2

12:00 PM Lunch
Lunch
12:00 PM - 1:30 PM
Room: Cafeteria

1:30 PM Hands-on Session 2
Hands-on Session 2
1:30 PM - 3:00 PM
Room: Conference Room 2

3:00 PM Coffee Break
Coffee Break
3:00 PM - 3:30 PM
Room: Conference Room 2

3:30 PM Hands-on Session 3
Hands-on Session 3
3:30 PM - 5:30 PM
Room: Conference Room 2

5:30 PM Dinner
Dinner
5:30 PM - 8:00 PM
Room: Cafeteria
Thursday, October 22, 2026

9:30 AM Collaboration Discussion & Free talks
Collaboration Discussion & Free talks
9:30 AM - 12:00 PM
Room: Conference Room 2

12:00 PM Lunch
Lunch
12:00 PM - 1:30 PM
Room: Cafeteria

1:30 PM Visits
Visits
1:30 PM - 5:30 PM
Room: Main Building

6:00 PM Dinner
Dinner
6:00 PM - 8:30 PM
Room: Cafeteria

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