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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Meihao Fan
Scalable data synthesis for agent training, embodied data, and world models
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Posts
WASP: An R package for complex system modelling and prediction
Published:
The wavelet-based variance transformation method is used for system modelling and prediction. It refines predictor spectral representation using Wavelet Theory, which leads to improved model specifications and prediction accuracy. A supporting open-source software, Wavelet System Prediction (WASP), can be found under page of Software.
GitHub Pages: A site to host your personal homepage
Published:
GitHub Pages is a static site hosting service that takes HTML, CSS, and JavaScript files straight from a repository on GitHub, optionally runs the files through a build process, and publishes a website.
Word Cloud: A tool of visualization, communication and insights
Published:
A word cloud is a collection or cluster of words described in different sizes. The larger the word appears, the more times it is mentioned in a given text, and the more important it is.
Word to Latex: Writing papers the right way
Published:
LaTeX is a document preparation system for high-quality typesetting. It is most often used for medium-to-large technical or scientific documents, but it can be used for almost any form of publishing.
people
Meihao Fan
Ph.D. student at Renmin University of China 
projects
BATCHER: Cost-Effective LLM Inference for Entity Resolution
Published:
A cost-effective in-context learning framework for entity resolution.
AutoPrep: Multi-Agent Data Preparation Framework
Published:
A multi-agent data preparation framework with planner and programmer agents.
DeepPrep: Verifiable Task Synthesis for Agent Training
Published:
Project Lead; First Author · Executable supervision, reversible corruption, multi-turn RL. VLDB 2026.
CoDA-Bench & TACO: Scalable, Verifiable Task Construction
Co-author · Task synthesis, execution verification, difficulty refinement. ICML / VLDB 2026.
DeepAnalyze: Scalable Training-Trajectory Synthesis
Project Lead · Synthetic data, quality filtering, curriculum learning, agentic RL. ICML 2026.
EvoCost & SkillAdam: Agent Self-Evolution
EvoCost: Lead, First Author · SkillAdam: Co-author. ICLR 2027 submissions.
Interactive Memory & Recursive Self-Improvement (RSI) for World Models
Project Lead · World model evaluation, scalable data curation, training, self-improvement. Ongoing.
publications
Few‐Shot Multihop Question Answering over Knowledge Base
Published in Wireless Communications and Mobile Computing, 2021
This paper is about Question Answering over Knowledge Base.
Recommended citation: Fan, Meihao, Lei Zhang, Siyao Xiao, and Yuru Liang. "Few-shot multi-hop question answering over knowledge base." arXiv preprint arXiv:2112.11909 (2021). https://onlinelibrary.wiley.com/doi/abs/10.1155/2022/8045535
Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration
Published in ICDE 2024, 2024
This paper is about LLM for Entity Resolution.
Recommended citation: Meihao Fan, Xiaoyue Han, Ju Fan, Chengliang Chai, Nan Tang, Guoliang Li, Xiaoyong Du. "Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration" ICDE 2024. https://fmh1art.github.io/files/BatchER-ICDE2024.pdf
AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework
Published in VLDB 2025, 2025
This paper proposes AutoPrep, a multi-agent framework for data preparation.
Recommended citation: Meihao Fan, Ju Fan, Nan Tang, Lei Cao, Guoliang Li, Xiaoyong Du. "AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework" VLDB 2025. https://www.vldb.org/pvldb/vol18/p3504-fan.pdf
Reward-SQL: Boosting Text-to-SQL via Stepwise Execution-Aware Reasoning and Process-Supervised Rewards
Published in SIGMOD 2026, 2026
This paper proposes Reward-SQL, a framework for improving Text-to-SQL reasoning using process-supervised reward models.
Recommended citation: Yuxin Zhang, Meihao Fan, Ju Fan, Mingyang Yi, Yuyu Luo, Jian Tan, Guoliang Li. "Reward-SQL: Boosting Text-to-SQL via Stepwise Execution-Aware Reasoning and Process-Supervised Rewards" SIGMOD 2026. https://arxiv.org/abs/2505.04671
DeepPrep: An LLM-Powered Agentic System for Autonomous Data Preparation
Published in VLDB 2026, 2026
This paper proposes DeepPrep, an LLM-powered agentic system for autonomous data preparation.
Recommended citation: Meihao Fan, Ju Fan, Yuxin Zhang, Shaolei Zhang, Xiaoyong Du, Jie Song, Peng Li, Fuxin Jiang, Tieying Zhang, Jianjun Chen. "DeepPrep: An LLM-Powered Agentic System for Autonomous Data Preparation" VLDB 2026. https://www.vldb.org/pvldb/vol19/p3371-fan.pdf
TACO: A Benchmark for Open-Domain Text-to-SQL with Ambiguous and Cross-Database Queries
Published in VLDB 2026, 2026
This paper proposes TACO, a benchmark for Open-Domain Text-to-SQL.
Recommended citation: Chao Deng, Ju Fan, Yuyu Luo, Qinliang Xue, Meihao Fan, Yuxin Zhang, Min Zhang, Xiaofeng Jia, Jing Zhang, Xiaoyong Du. "TACO: A Benchmark for Open-Domain Text-to-SQL with Ambiguous and Cross-Database Queries" VLDB 2026. https://arxiv.org/abs/2606.14201
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
Published in ICML 2026, 2026
This paper explores agentic large language models for autonomous data science.
Recommended citation: Shaolei Zhang, Ju Fan, Meihao Fan, Guoliang Li, Xiaoyong Du. "DeepAnalyze: Agentic Large Language Models for Autonomous Data Science" ICML 2026. https://arxiv.org/abs/2510.16872
CoDA-Bench: Can Code Agents Handle Data-Intensive Tasks?
Published in ICML 2026, 2026
This paper introduces CoDA-Bench to evaluate code agents on data-intensive tasks.
Recommended citation: Yuxin Zhang, Ju Fan, Meihao Fan, Shaolei Zhang, Xiaoyong Du. "CoDA-Bench: Can Code Agents Handle Data-Intensive Tasks?" ICML 2026. https://arxiv.org/abs/2606.15300
software
Predictor identifier: Nonparametric PREDiction (NPRED)
The open-source R package NPRED is used to identify the meaningful predictors to the response from a large set of potential predictors.
WASP: Wavelet System Prediction
The open-source software WASP is used for system modeling and prediction.
WQM: Wavelet-based Quantile Mapping
The open-source software WQM is used for post-processing numerical weather prediction.
synthesis: Generate Synthetic Data from Statistical Models
Generate synthetic time series from commonly used statistical models, including linear, nonlinear and chaotic systems.