Nanxu Gong

I'm a Ph.D. student at Arizona State Univeristy in Tempe, advised by Prof. Yanjie Fu. I obtained my Bachelor degree from Sichuan University in 2024, where I was supervised by Prof. Chenwei Tang.

My research interests lie in Data-Centric AI, Generative Models, and Large Language Models. Currently, I am developing efficient and effective algorithms for feature-level dataset enhancement and exploring applications of large language models.

Email  /  Scholar  /  Github

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News

[2025-05] One paper is accepted to npj Artificial Intelligence.

[2025-04] I will join Microsoft Research Asia as a research intern during this summer.

[2025-04] One paper is accepted to IJCAI2025.

[2024-12] One paper is accepted to AAAI2025.

[2024-12] One paper is accepted to ACM TIST.

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
IJCAI, 2025
project page / arXiv

We propose a generator-critic LLM agent framework to automatically generate feature transformation in an unsupervised manner.

Evolutionary Large Language Model for Automated Feature Transformation
Nanxu Gong, Chandan K Reddy, Wangyang Ying, Haifeng Chen, Yanjie Fu
AAAI, 2025
project page / arXiv

We integrate the evolutionary algorithm with the large language model to automatically generate feature transformation functions.

Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation
Nanxu Gong*, Wangyan Ying*, Dongjie Wang, Yanjie Fu
ACM TIST
project page / arXiv

We formulate the feature selection task from an autoregressive generative perspective.