Liancheng Fang

According to our database, Liancheng Fang authored at least 23 papers between 2024 and 2026.

Collaborative distances:

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

2026

Towards Robust LLM Post-Training: Automatic Failure Management for Reinforcement Fine-Tuning.

Lingzhe Zhang, Tong Jia, Yunpeng Zhai, Liancheng Fang, Kening Zheng, Hongyi Liu, Xiaosong Huang, Philip S. Yu, Ying Li

CoRR, May, 2026

When Users Change Their Mind: Evaluating Interruptible Agents in Long-Horizon Web Navigation.

Henry Peng Zou, Chunyu Miao, Wei-Chieh Huang, Yankai Chen, Yue Zhou, Hanrong Zhang, Yaozu Wu, Liancheng Fang, Zhengyao Gu, Zhen Zhang, Kening Zheng, Fangxin Wang, Yi Nian, Shanghao Li, Wenzhe Fan, Langzhou He, Weizhi Zhang, Xue (Steve) Liu, Philip S. Yu

CoRR, April, 2026

Locally Confident, Globally Stuck: The Quality-Exploration Dilemma in Diffusion Language Models.

Liancheng Fang, Aiwei Liu, Henry Peng Zou, Yankai Chen, Enze Ma, Leyi Pan, Chunyu Miao, Wei-Chieh Huang, Xue (Steve) Liu, Philip S. Yu

CoRR, April, 2026

d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models.

Leyi Pan, Shuchang Tao, Yunpeng Zhai, Zheyu Fu, Liancheng Fang, Minghua He, Lingzhe Zhang, Zhaoyang Liu, Bolin Ding, Aiwei Liu, Lijie Wen

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety.

Wei-Chieh Huang, Henry Peng Zou, Yaozu Wu, Dongyuan Li, Yankai Chen, Weizhi Zhang, Yangning Li, Angelo Zangari, Jizhou Guo, Chunyu Miao, Liancheng Fang, Langzhou He, Yinghui Li, Renhe Jiang, Philip S. Yu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

DeepResearchGuard: Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety.

Wei-Chieh Huang, Henry Peng Zou, Yaozu Wu, Dongyuan Li, Yankai Chen, Weizhi Zhang, Yangning Li, Angelo Zangari, Jizhou Guo, Chunyu Miao, Liancheng Fang, Langzhou He, Renhe Jiang, Philip S. Yu

CoRR, October, 2025

RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback.

Chunyu Miao, Henry Peng Zou, Yangning Li, Yankai Chen, Yibo Wang, Fangxin Wang, Yifan Li, Wooseong Yang, Bowei He, Xinni Zhang, Dianzhi Yu, Hanchen Yang, Hoang H. Nguyen, Yue Zhou, Jie Yang, Jizhou Guo, Wenzhe Fan, Chin-Yuan Yeh, Panpan Meng, Liancheng Fang, Jinhu Qi, Wei-Chieh Huang, Zhengyao Gu, Yuwei Han, Langzhou He, Yuyao Yang, Yinghui Li, Hai-Tao Zheng, Xue Liu, Irwin King, Philip S. Yu

CoRR, October, 2025

A Survey on Parallel Text Generation: From Parallel Decoding to Diffusion Language Models.

Lingzhe Zhang, Liancheng Fang, Chiming Duan, Minghua He, Leyi Pan, Pei Xiao, Shiyu Huang, Yunpeng Zhai, Xuming Hu, Philip S. Yu, Aiwei Liu

CoRR, August, 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

TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data.

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

Proceedings of the Forty-second International Conference on Machine Learning, 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

Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions.

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

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