activity
20222025
most citedQuasar Factor Analysis -- An Unsupervised and Probabilistic Quasar Continuum Prediction Algorithm with Latent Factor Analysis

19 citations · 24 across the 5 of their papers we have counts for

collaborators

6 papers

astro-ph.IM2025

Mephisto: Self-Improving Large Language Model-Based Agents for Automated Interpretation of Multi-band Galaxy Observations

Zechang Sun, Yuan-Sen Ting, Yaobo Liang +3

Astronomical research has long relied on human expertise to interpret complex data and formulate scientific hypotheses. In this study, we introduce Mephisto -- a multi-agent collab…

astro-ph.GA2025

Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology Augmentation

Chenrui Ma, Zechang Sun, Tao Jing +4

Observational astronomy relies on visual feature identification to detect critical astrophysical phenomena. While machine learning (ML) increasingly automates this process, models…

astro-ph.IM2024★ 3 cited

Interpreting Multi-band Galaxy Observations with Large Language Model-Based Agents

Zechang Sun, Yuan-Sen Ting, Yaobo Liang +3

Astronomical research traditionally relies on extensive domain knowledge to interpret observations and narrow down hypotheses. We demonstrate that this process can be emulated usin…

astro-ph.IM2024★ 1 cited

Knowledge Graph in Astronomical Research with Large Language Models: Quantifying Driving Forces in Interdisciplinary Scientific Discovery

Zechang Sun, Yuan-Sen Ting, Yaobo Liang +3

Identifying and predicting the factors that contribute to the success of interdisciplinary research is crucial for advancing scientific discovery. However, there is a lack of metho…

astro-ph.IM2023★ 1 cited

Zephyr : Stitching Heterogeneous Training Data with Normalizing Flows for Photometric Redshift Inference

Zechang Sun, Joshua S. Speagle, Song Huang +2

We present zephyr, a novel method that integrates cutting-edge normalizing flow techniques into a mixture density estimation framework, enabling the effective use of heterogeneous…

astro-ph.CO2022★ 19 cited

Quasar Factor Analysis -- An Unsupervised and Probabilistic Quasar Continuum Prediction Algorithm with Latent Factor Analysis

Zechang Sun, Yuan-Sen Ting, Zheng Cai

Since their first discovery, quasars have been essential probes of the distant Universe. However, due to our limited knowledge of its nature, predicting the intrinsic quasar contin…