AI for Data Editing

About

Welcome to the AI for Data Editing project homepage. Here you’ll find our research outputs, datasets, and community updates.

Research Studies

• AI, W. Ying, N. Gong, X. Wang, Y. Fu. npj Artificial Intelligence 1 (1), 10.
• Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories, N. Gong, S. Dong, H. Bai, X. Wang, W. Ying, Y. Fu. arXiv:2505.15076.
• Unsupervised Feature Transformation via In-Context Generation, Generator-Critic LLM Agents, and Duet-Play Teaming, N. Gong, X. Wang, W. Ying, H. Bai, S. Dong, H. Chen, Y. Fu. arXiv:2504.21304.
• Evolutionary Large Language Model for Automated Feature Transformation, N. Gong, C. K. Reddy, W. Ying, H. Chen, Y. Fu. AAAI 2023 39 (16), 16844–16851.
• Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation, N. Gong, W. Ying, D. Wang, Y. Fu. ACM TIST 16 (2), 1-21.
• Feature Selection as Deep Sequential Generative Learning, W. Ying, D. Wang, H. Chen, Y. Fu. ACM TKDD 18 (9), 1-21.
• Unsupervised Generative Feature Transformation via Graph Contrastive Pre-Training and Multi-Objective Fine-Tuning, W. Ying, D. Wang, X. Hu, Y. Zhou, C. C. Aggarwal, Y. Fu. KDD 2024.
• Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-Steered Search in Continuous Space for Postfix Expressions, D. Wang, M. Xiao, M. Wu, Y. Zhou, Y. Fu. NeurIPS 2023.
• Self-Optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing, W. Ying, D. Wang, K. Liu, L. Sun, Y. Fu. ICDM 2023, 748-757.
• Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection, M. Xiao, D. Wang, M. Wu, P. Wang, Y. Zhou, Y. Fu. ICDM 2023, 688-697.
• Traceable Automatic Feature Tra