Wangyang Ying

According to our database, Wangyang Ying authored at least 22 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Supply Chain Optimization via Generative Simulation and Iterative Decision Policies.

Haoyue Bai, Haoyu Wang, Nanxu Gong, Xinyuan Wang, Wangyang Ying, Haifeng Chen, Yanjie Fu

CoRR, July, 2025

LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation.

Xinyuan Wang, Haoyue Bai, Nanxu Gong, Wangyang Ying, Sixun Dong, Xiquan Cui, Yanjie Fu

CoRR, June, 2025

Efficient Post-Training Refinement of Latent Reasoning in Large Language Models.

Xinyuan Wang, Dongjie Wang, Wangyang Ying, Haoyue Bai, Nanxu Gong, Sixun Dong, Kunpeng Liu, Yanjie Fu

CoRR, June, 2025

Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO₂ Storage.

Haoyue Bai, Guodong Chen, Wangyang Ying, Xinyuan Wang, Nanxu Gong, Sixun Dong, Giulia Pedrielli, Haoyu Wang, Haifeng Chen, Yanjie Fu

CoRR, May, 2025

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback.

Wangyang Ying, Haoyue Bai, Nanxu Gong, Xinyuan Wang, Sixun Dong, Haifeng Chen, Yanjie Fu

CoRR, May, 2025

Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation.

Nanxu Gong, Zijun Li, Sixun Dong, Haoyue Bai, Wangyang Ying, Xinyuan Wang, Yanjie Fu

CoRR, May, 2025

Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories.

Nanxu Gong, Sixun Dong, Haoyue Bai, Xinyuan Wang, Wangyang Ying, Yanjie Fu

CoRR, May, 2025

Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation.

Nanxu Gong, Wangyang Ying, Dongjie Wang, Yanjie Fu

ACM Trans. Intell. Syst. Technol., April, 2025

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming.

Nanxu Gong, Xinyuan Wang, Wangyang Ying, Haoyue Bai, Sixun Dong, Haifeng Chen, Yanjie Fu

CoRR, April, 2025

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective.

Wangyang Ying, Cong Wei, Nanxu Gong, Xinyuan Wang, Haoyue Bai, Arun Vignesh Malarkkan, Sixun Dong, Dongjie Wang, Denghui Zhang, Yanjie Fu

CoRR, February, 2025

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

Dongjie Wang, Yanyong Huang, Wangyang Ying, Haoyue Bai, Nanxu Gong, Xinyuan Wang, Sixun Dong, Tao Zhe, Kunpeng Liu, Meng Xiao, Pengfei Wang, Pengyang Wang, Hui Xiong, Yanjie Fu

CoRR, January, 2025

Evolutionary Large Language Model for Automated Feature Transformation.

Nanxu Gong, Chandan K. Reddy, Wangyang Ying, Haifeng Chen, Yanjie Fu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Feature Selection as Deep Sequential Generative Learning.

Wangyang Ying, Dongjie Wang, Haifeng Chen, Yanjie Fu

ACM Trans. Knowl. Discov. Data, November, 2024

Topology-aware Reinforcement Feature Space Reconstruction for Graph Data.

Wangyang Ying, Haoyue Bai, Kunpeng Liu, Yanjie Fu

CoRR, 2024

Evolutionary Large Language Model for Automated Feature Transformation.

Nanxu Gong, Chandan K. Reddy, Wangyang Ying, Yanjie Fu

CoRR, 2024

Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent.

Xinyuan Wang, Dongjie Wang, Wangyang Ying, Rui Xie, Haifeng Chen, Yanjie Fu

CoRR, 2024

Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning.

Wangyang Ying, Dongjie Wang, Xuanming Hu, Yuanchun Zhou, Charu C. Aggarwal, Yanjie Fu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Revolutionizing Biomarker Discovery: Leveraging Generative AI for Bio-Knowledge-Embedded Continuous Space Exploration.

Wangyang Ying, Dongjie Wang, Xuanming Hu, Ji Qiu, Jin Park, Yanjie Fu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Reinforcement Feature Transformation for Polymer Property Performance Prediction.

Xuanming Hu, Dongjie Wang, Wangyang Ying, Yanjie Fu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing.

Wangyang Ying, Dongjie Wang, Kunpeng Liu, Leilei Sun, Yanjie Fu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset.

Haolin Deng, Yanan Zhang, Yangfan Zhang, Wangyang Ying, Changlong Yu, Jun Gao, Wei Wang, Xiaoling Bai, Nan Yang, Jin Ma, Xiang Chen, Tianhua Zhou

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020

Sichuan dialect speech recognition with deep LSTM network.

Wangyang Ying, Lei Zhang, Hongli Deng

Frontiers Comput. Sci., 2020