Liancheng Fang

According to our database, Liancheng Fang authored at least 13 papers between 2024 and 2025.

Collaborative distances:

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

2025

A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy.

Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Chunyu Miao, Dongyuan Li, Aiwei Liu, Yue Zhou, Yankai Chen, Weizhi Zhang, Yangning Li, Liancheng Fang, Renhe Jiang, Philip S. Yu

CoRR, June, 2025

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection.

Liancheng Fang, Aiwei Liu, Henry Peng Zou, Yankai Chen, Hengrui Zhang, Zhongfen Deng, Philip S. Yu

CoRR, May, 2025

A Survey on Large Language Model based Human-Agent Systems.

Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Yankai Chen, Chunyu Miao, Hoang Nguyen, Yue Zhou, Weizhi Zhang, Liancheng Fang, Langzhou He, Yangning Li, Dongyuan Li, Renhe Jiang, Xue Liu, Philip S. Yu

CoRR, May, 2025

TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency.

Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S. Yu

CoRR, February, 2025

Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances.

Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Liancheng Fang, Zhen Wang, Philip S. Yu

CoRR, February, 2025

DiffPuter: Empowering Diffusion Models for Missing Data Imputation.

Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Can Watermarked LLMs be Identified by Users via Crafted Prompts?

Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency.

Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S. Yu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

TABGEN-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation.

Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data.

Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu

CoRR, 2024

Unleashing the Potential of Diffusion Models for Incomplete Data Imputation.

Hengrui Zhang, Liancheng Fang, Philip S. Yu

CoRR, 2024

Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation.

Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu

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

ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction.

Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea

Proceedings of the Findings of the Association for Computational Linguistics, 2024