Yong-Kun Zhang
National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, ChinaPersonal Website | SukiYume | ORCID | ADS | PhD Thesis | My CV | ykzhang@escape.ac.cn
I am Yong-Kun Zhang (张永坤), a postdoctoral researcher at the National Astronomical Observatories, Chinese Academy of Sciences (NAOC), where I received my Ph.D. in Astrophysics.
My research spans fast radio bursts (FRBs), Galactic dynamics, and AI4Science. I study FRB emission through burst statistics, energetics and polarization, and develop randomness and chaos diagnostics for burst sequences. I also apply turbulence-analysis methods to star-cluster kinematics to investigate Galactic structure, including the origin of the Radcliffe Wave. I build tools for radio transient searches, calibration and measurement, and am integrating DRAFTS and AFTER into a reproducible workflow that AI agents can operate from telescope data to physical results. For more information, visit my Research Page, Software and Outreach, PhD Thesis and GitHub/SukiYume.
I work with Python, PyTorch, CUDA/CuPy and Linux for GPU computing and radio data analysis. I am fluent in English and Chinese (native) and proficient in Japanese (N2). Outside research, I enjoy photography; you can explore my Gallery.
Technical Skills
My radio astronomy work includes single-pulse searches, coherent and incoherent dedispersion, baseband processing, RFI mitigation, full-Stokes calibration, and measurements of flux, dispersion measure, rotation measure and polarization. I use CUDA/CuPy and PyTorch for GPU computing, and build reproducible analysis workflows with processing records, quality control and diagnostic plots.
Working Experience
- 2024.09 -> now
National Astronomical Observatories, Chinese Academy of Sciences (NAOC)
Postdoctoral Researcher
Education Background
- 2019.09 - 2024.06
National Astronomical Observatories, Chinese Academy of Sciences (NAOC)
Ph.D. of Astrophysics - 2015.09 - 2019.06
University of Chinese Academy of Sciences (UCAS)
Bachelor of Physics
References
Prof. Di Li
Physics Building, Tsinghua University, Beijing 100084, China
dili@tsinghua.edu.cnProf. Chao-Wei Tsai
National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China
cwtsai@nao.cas.cn
Approved Funding
- 2027 - 2029
National Natural Science Foundation of China
Grant 12603083 / CNY 300,000
Principal Investigator; awarded in 2026 - 2026 - 2028
National Natural Science Foundation of China
General Program / 12573096 / CNY 530,000
Co-Investigator - 2025 - 2027
China Postdoctoral Science Fund
National Postdoctoral Program for Innovative Talents (BX20250158) / CNY 880,000
Principal Investigator; supported by the Postdoctoral Fellowship Program and China Postdoctoral Science Foundation under Grant Number BX20250158 - 2025 - 2027
China Postdoctoral Science Fund
General Program / CNY 80,000
Principal Investigator; declined
Honors and Awards
- 2025.09
Five-hundred-meter Aperture Spherical radio Telescope Outstanding User (top 5%) - 2025.01
2024 RAA Excellent Paper Award (top 0.5%) - 2024.07
Chinese Academy of Sciences President Award - Special Prize (top 0.1%) - 2024.07
Outstanding Graduate of Beijing (top 1%) - 2023.12
National Scholarship for Graduate Student [1] (top 0.1%) - 2023.08
People's Choice Poster in ACAMAR 9 (top 5%) - 2021.05
Merit Student of UCAS (top 10%)
Teaching Experience
- 2020 - 2022
Advanced Astrophysics (070400M01003H)
Teaching assistant for graduate course at UCAS
Prof. Ji-Feng Liu
Academic Service
- 2026
Referee for The Astrophysical Journal - 2026
Referee for RAS Techniques and Instruments - 2025
Referee for The Astrophysical Journal - 2024
Referee for Monthly Notices of the Royal Astronomical Society - 2023
Referee for Nature Astronomy
Talks and Colloquia
2026.07
From Single-Pulse Searches to Deep Learning Discovery: Software for Fast Radio Bursts
FRB 2026, Guiyang, China, Invited2026.04
Tracing a Shear Origin of the Radcliffe Wave from Star Cluster Dynamics |
Workshop on Star Clusters, Nanjing, China2025.11
Efficient Search and Multi-Dimensional Analysis of Fast Radio Bursts
SWIFAR Lunch Talks, Yunnan, China2025.09
Radiation Signatures of Fast Radio Bursts Revealed by FAST
FAST Scientific Forum 2nd, Guiyang, China2025.06
DRAFTS / a Deep learning-based RAdio Fast Transient Search pipeline |
Chinese Fast Radio Burst Conference 2025, Beijing, China2025.02
FAST Observations of Fast Radio Bursts: Search and Case Analysis |
NAOC Radio Department Lunchtime Meeting, Beijing2024.11
DRAFTS & An Active Repeating FRB in a Clean Environment
FRB 2024, Thailand2023.12
The Stochastic Nature of Active Repeating Fast Radio Bursts
DSA Meeting, Online2023.11
FAST Observations of Fast Radio Burst |
FRB 2023, Online, Invited2023.11
The Stochastic Nature of Active Repeating Fast Radio Bursts |
FRB 2023, Online2023.08
The Stochastic Nature of Repeating FRBs
ACAMAR 9, Perth, Australia, Poster2023.05
The Stochastic Nature of Active Repeating FRBs
Chinese Fast Radio Burst Conference 2023, Hefei, China2021.09
Time Domain Analysis of two active repeating FRBs
ACAMAR/FRB, Online2021.07
Periodic Analysis of FRB 121102
FAST/Future Pulsar Symposium 9, Jinan, China
Approved PI Proposals
Eight programmes, totalling 135 awarded hours: 94 hours on FAST and 41 hours on GBT.
- 2025
- FAST, PT2025_0002, 17 hours
Searching for Gravitationally Lensed High-Redshift FRBs in Galaxy Cluster Fields with FAST - FAST, PT2025_0042, 9 hours
Monitoring FRB20220912A with FAST: Probing Polarization and Spectral Evolution in a Hyperactive Repeater
- FAST, PT2025_0002, 17 hours
- 2024
- FAST, PT2024_0148, 9 hours
Monitoring an active repeating FRB in a clean environment - FAST, PT2024_0263, 6 hours
A Mini Survey for White Dwarf Pulsar
- FAST, PT2024_0148, 9 hours
- 2023
- FAST, PT2023_0100, 9 hours
Do All Active Repeating FRBs Have Complex Magnetic Environments?
- FAST, PT2023_0100, 9 hours
- 2022
- GBT, GBT/22A-502, 41 hours
Monitoring FRB 20200120E in a Globular Cluster for Polarization Insights - FAST, PT2022_0067, 24 hours
Constrain the Relation between Fast Radio Bursts and Star Formation Rates
- GBT, GBT/22A-502, 41 hours
- 2021
- FAST, PT2021_0039, 20 hours
Do all fast radio bursts repeat?
- FAST, PT2021_0039, 20 hours
Software and Outreach
- DRAFTS / A deep-learning pipeline for radio transient searches, combining GPU dedispersion, object detection and neural-network classification. Reprocessing existing FAST observations of FRB20190520B expanded the burst sample from 75 to 258, recovering 183 additional bursts and revising its activity statistics. Code, trained models and training data are publicly available.
- AFTER / An analysis framework that takes burst times and observation metadata through extraction, full-Stokes calibration and reviewed measurements of flux, dispersion measure, rotation measure and polarization. Processing records, uncertainty estimates and quality checks support reproducible analyses. AI agents can operate the workflow, and integration with DRAFTS is in progress.
- nasa-ads-skill / Astronomy literature tools for AI agents, covering searches, paper reading, citation checks and export, with source provenance and reusable reading records.
- MSP / RadioSonify / My radio-data sonification project, now released as the RadioSonify package, converts radio observations into audio.
- Based on this project, I created a video titled "Sounds from the Depths of the Universe", which was given as a gift to new students at UCAS in 2020. The video was widely shared by media outlets such as People's Daily and CCTV News, receiving widespread acclaim.
- See more examples, please visit the sonify page.
- CHIME VOEvents / This is the website I built to summarize CHIME VOEvents.
- APOD / A public daily reading journal of astro-ph papers that I have maintained since 2020.
- XiaoQing / Based on web scraping and large language models, I created my AI assistant, XiaoQing (小青).
Publications
My CV records 60 refereed papers and 5 preprints, including 5 first- or co-first-author papers and 4 corresponding-author papers, as of 10 October 2026. I also hold 1 granted patent.
Find Full Paper List in ADS or ORCID.
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Most prestigious scholarship for graduate student in China ↩︎