Cover Image

Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Dongjie, Huang, Yanyong, Ying, Wangyang, Bai, Haoyue, Gong, Nanxu, Wang, Xinyuan, Dong, Sixun, Zhe, Tao, Liu, Kunpeng, Xiao, Meng, Wang, Pengfei, Wang, Pengyang, Xiong, Hui, Fu, Yanjie
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective
by: Ying, Wangyang, et al.
Published: (2025)

Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
by: Wang, Xinyuan, et al.
Published: (2025)

Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories
by: Gong, Nanxu, et al.
Published: (2025)

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback
by: Ying, Wangyang, et al.
Published: (2025)

Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation
by: Gong, Nanxu, et al.
Published: (2025)

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming
by: Gong, Nanxu, et al.
Published: (2025)

LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation
by: Wang, Xinyuan, et al.
Published: (2025)

Data-Efficient Symbolic Regression via Foundation Model Distillation
by: Ying, Wangyang, et al.
Published: (2025)

Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation
by: Gong, Nanxu, et al.
Published: (2024)

Topology-aware Reinforcement Feature Space Reconstruction for Graph Data
by: Ying, Wangyang, et al.
Published: (2024)

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies
by: Bai, Haoyue, et al.
Published: (2025)

Distribution Shift Aware Neural Tabular Learning
by: Ying, Wangyang, et al.
Published: (2025)

Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO$_2$ Storage
by: Bai, Haoyue, et al.
Published: (2025)

A Comprehensive Survey on Data Augmentation
by: Wang, Zaitian, et al.
Published: (2024)

Reinforcement Feature Transformation for Polymer Property Performance Prediction
by: Hu, Xuanming, et al.
Published: (2024)

Autonomous Data Agents: A New Opportunity for Smart Data
by: Fu, Yanjie, et al.
Published: (2025)

Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent
by: Wang, Xinyuan, et al.
Published: (2024)

Feature Interaction Aware Automated Data Representation Transformation
by: Azim, Ehtesamul, et al.
Published: (2023)

Evolutionary Large Language Model for Automated Feature Transformation
by: Gong, Nanxu, et al.
Published: (2024)

Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)

Dataforge: Agentic Platform for Autonomous Data Engineering
by: Wang, Xinyuan, et al.
Published: (2025)

Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)

Causal Graph Profiling via Structural Divergence for Robust Anomaly Detection in Cyber-Physical Systems
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)

Feature Selection as Deep Sequential Generative Learning
by: Ying, Wangyang, et al.
Published: (2024)

To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks
by: Gong, Nanxu, et al.
Published: (2026)

TFWT: Tabular Feature Weighting with Transformer
by: Zhang, Xinhao, et al.
Published: (2024)

Evolving Demonstration Optimization for Chain-of-Thought Feature Transformation
by: Wang, Xinyuan, et al.
Published: (2026)

Mitigating Shortcut Reasoning in Language Models: A Gradient-Aware Training Approach
by: Cao, Hongyu, et al.
Published: (2026)

Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation
by: Zhe, Tao, et al.
Published: (2025)

A Comprehensive Survey of Synthetic Tabular Data Generation
by: Shi, Ruxue, et al.
Published: (2025)

AgentOS: From Application Silos to a Natural Language-Driven Data Ecosystem
by: Liu, Rui, et al.
Published: (2026)

Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning
by: Ying, Wangyang, et al.
Published: (2024)

A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge
by: Ma, Le, et al.
Published: (2023)

Iterative Feature Space Optimization through Incremental Adaptive Evaluation
by: Wu, Yanping, et al.
Published: (2025)

Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy
by: Huang, Xiaohan, et al.
Published: (2024)

Revolutionizing Biomarker Discovery: Leveraging Generative AI for Bio-Knowledge-Embedded Continuous Space Exploration
by: Ying, Wangyang, et al.
Published: (2024)

Joint Reconstruction of Two‐Component Seismic Data Based on Compressed Sensing and Complex Curvelet Transform
by: Wangyang Wang, et al.
Published: (2025)

Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation
by: Gomez, Camilo, et al.
Published: (2026)

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)

LEKA:LLM-Enhanced Knowledge Augmentation
by: Zhang, Xinhao, et al.
Published: (2025)