Evolutionary and Reinforcement Learning Approaches for GW Data Analysis

2026/01/27 | Flash Talk @GWFREERIDE | Abstract: Upcoming challenges such as MLGWSC2, currently at the proposal stage, provide a new testbed for exploring machine-learning–based approaches to gravitational-wave analysis. In this flash talk, I briefly introduce my core ideas and experience using evolutionary algorithms, Evo-MCTS, and reinforcement learning as adaptive search and optimization tools. I outline key methodological insights and discuss how these ideas may inform future GW analysis tasks, including potential applications to LISA.

AI × 宇宙学：从算法工具到科学发现的新范式

AI and Cosmology: From Computational Tools to Scientific Discovery | 2026/01/10 10:00-11:00 | 第五届后羿系列研讨会

研究生之路：幻想, 现实和代价

Fantasy, Reality, and the Cost of Becoming a Graduate Student | 2025/12/28 8:30-9:30 | 青年学者学术论坛 | @东北大学

WaveFormer: transformer-based denoising method for gravitational-wave data

MLA Call (2025/12/18)

大模型驱动的科学计算新范式：自动化算法发现及其在引力波探测中的应用

2025/12/09 14:00-15:00 “LlM and Science”Program @ITP-CAS

Fundamentals of Machine Learning for Gravitational Wave Search

11.13.2025 @FQCP2025 (https://indico.ictp-ap.ucas.ac.cn/event/4/)

面向引力波信号探测的可解释AI新范式：大模型驱动的算法重构

2025/11/07 10:00-11:00 @CGE-HUST

LLM-Guided Evolutionary Monte Carlo Tree Search for Explainable Algorithm Discovery in Gravitational-Wave Detection

2025/10/17 15:15-15:25 @NatureConference https://natureconferences.streamgo.live/ai-for-discovery-research-automation/

可解释 AI 与强化学习协同驱动的引力波数据处理新方法探索

2025/09/20 10:00-11:00 @TianQin center

Automated Algorithmic Discovery for Gravitational-Wave Detection Guided by LLM-Informed Evolutionary Monte Carlo Tree Search

2025/09/10 07:00-07:20 @f2f LVK Sep

基于可控自进化大模型实现的引力波信号搜索算法优化

2025/08/09 14:45-15:00 @DALI

可解释 AI 与强化学习协同驱动的引力波数据处理新方法探索

2025/08/08 11:30-12:00 @某温泉酒店

引力波数据处理与人工智能技术应用

2025/07/03 15:00-17:00 @NKU

AI赋能信号处理：引力波与通信系统案例分析

2025/06/19 14:00-15:00 @WHPU

Interpretable Gravitational Wave Data Analysis with Deep Learning and Large Language Models

2025/05/26 10:15-10:35 @SHAO KIW-12

AstroOne 理论参数与 LAMOST 实测参数对比研究报告

Interpretable Gravitational Wave Data Analysis with Deep Learning and Large Language Models

2025/04/26 14:00-14:30 @BIMSA Workshop on Gravitational Wave Astronomy

Towards Transparent AI in Gravitational Wave Data Analysis: Methods, Limitations, and New Directions

2025/04/20 10:30 @2025昆明引力年会

Deep Learning Applications in Gravitational Wave Data Analysis: From Discovery to Characterization

2025/04/08 @KIAA

AI探索引力波奥秘

o AI在引力波天文学中的革命性影响 o 地基引力波探测中的AI成功应用与实例解析 o 空基引力波探测的技术挑战与未来AI应用 o 2025.01.02 Thur 20:00-21:00