Author

Maoqi Liu

Observed name: Liu, Maoqi

Institutions: Hunan University of Science and Technology, Beijing University of Posts and Telecommunications, GFZ Helmholtz Centre for Geosciences, ByteDance (China)

Observed institutions: Hunan University of Science and Technology, Beijing University of Posts and Telecommunications, GFZ Helmholtz Centre for Geosciences, ByteDance (China)

ORCID: 0000-0002-6050-2411

Observed ORCID: 0000-0002-6050-2411

OpenAlex ID: A5042883829

Surface Subsidence Monitoring of Mining Areas in Hunan Province Based on Sentinel-1A and DS-InSAR

2023 · Liya Zhang, Pengfei Gao, et al. · Sensors · 19

Research on Prediction of Surface Deformation in Mining Areas Based on TPE-Optimized Integrated Models and Multi-Temporal InSAR

2023 · Sichun Long, Maoqi Liu, et al. · Remote Sensing · 11

Knots: A large-scale multi-agent enhanced expert-annotated dataset and LLM prompt optimization for NOTAM semantic parsing

2025 · Maoqi Liu, Quan Fang, et al. · Advanced Engineering Informatics · 7

Instability Monitoring and Numerical Analysis of Typical Coal Mines in Southwest China Based on DS-InSAR

2022 · Maoqi Liu, Sichun Long, et al. · Sensors · 6

Spatiotemporal Prediction of Ground Surface Deformation Using TPE-Optimized Deep Learning

2026 · Maoqi Liu, Sichun Long, et al. · Remote Sensing · 2

PWV Inversion Model Based on Random Forest and the Trend of Its Conversion Rate with Precipitation in Hubei from 1960 to 2020

2023 · Zhaohui Xiong, Sichun Long, et al. · Atmosphere · 2

T2SPO: Trajectory-to-Step Policy Optimization for Agentic Reinforcement Learning

2026 · Zhang, Bo-Wen, He, Junwei, et al. · arXiv (Cornell University) · 1

NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation

2026 · Maoqi Liu, Quan Fang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1

Scoring Higher, Answering Worse: Mitigating Reward Hacking in Rubric-Based RL via Protocol-Level Rubrics

2026 · Liu, Maoqi, He, Junwei, et al. · arXiv (Cornell University)

Analyzing dominant driving factors of ground deformation in mining area via multimodal feature fusion and explainable modeling

2026 · Maoqi Liu, Marzieh Baes, et al. · GIScience & Remote Sensing

Stance-Driven Controllable Statement Generation via Compositional Attribute Graph Prompting with LLMS

2026 · Bingqian Wang, Quan Fang, et al. · IEEE International Conference on Acoustics Speech and Signal Processing

CoDe-LoRA: Mitigating the Orthogonality Dilemma in Continual Learning of LLMs via Knowledge Consolidation and Decoupling

2026 · Maoqi Liu, Quan Fang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)

Mapping Subsidence Susceptibility and Risks in the Rhineland Coalfields: Leveraging EGMS Data and Machine Learning

2025 · Dibakar Kamalini Ritushree, Marzieh Baes, et al. · EGU General Assembly Conference Abstracts

Land Subsidence in the Lower Rhine Embayment of Western Germany: A multi-decadal investigation from geodesy, geology, hydrology and finite element modeling

2025 · Mahdi Motagh, Marzieh Baes, et al. · EGU General Assembly Conference Abstracts

Works count: 16

Citation count: 49

H-index: 4

I10-index: 2