Publications

* denotes equal contribution. Full list also on Google Scholar.

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

  arXiv 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 Liu, Philip S. Yu

  arXiv 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 Liu, Philip S. Yu

  arXiv 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

  ACL 2026

• 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, Yinghui Li, Renhe Jiang, Philip S. Yu

  ACL 2026

• 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

  ICLR 2026

• 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

  ICLR 2026

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, Wei-Chieh Huang, Yangning Li, Liancheng Fang, Zhen Wang, Philip S. Yu

  EMNLP 2025 (Findings)

• 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

  arXiv 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

  ACL 2025 (Main)

• 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

  arXiv 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

  ACL 2025 (Findings)

• LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey

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

  arXiv 2025

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

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

  ICML 2025

• ClariGen: Bridging Instruction Gaps via Interactive Clarification in Code Generation

  Chunyu Miao, Yibo Wang, Langzhou He, Liancheng Fang, Philip S. Yu

  AAAI 2025 Workshop on Preventing and Detecting LLM Misinformation

• 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

  ICLR 2025 Spotlight

• DiffPuter: Empowering Diffusion Models for Missing Data Imputation

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

  ICLR 2025 Spotlight

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

  CIKM 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

  ACL 2024 (Findings)