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@article{ao2026ai4air,
  title = {AI4AIR: A Comprehensive Survey on Large Language Models for AI Research},
  author = {Xiang Ao and Junhong Lian and Hanyang Li and Siyi Wang and Yiran Qiao and Yi Qiao and Jiaqi Xu and Qing He and Xueqi Cheng},
  year = {2026},
  note = {Preprint, under review},
  url = { https://ict-find-lab.github.io/Awesome-LLMs-for-AI-Research/ }
}

@inproceedings{zhang2026gdcnet,
  title = {GDCNet: Generative Discrepancy Comparison Network for Multimodal Sarcasm Detection},
  author = {Shuguang Zhang and Junhong Lian and Guoxin Yu and Baoxun Xu and Xiang Ao},
  year = {2026},
  booktitle = {ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  publisher = {IEEE},
  pages = {13192--13196},
  doi = {10.1109/icassp55912.2026.11461651},
  url = { https://doi.org/10.1109/icassp55912.2026.11461651 }
}

@inproceedings{liu2025improved,
  title = {Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback},
  author = {Kejin Liu and Junhong Lian and Xiang Ao and Ningtao Wang and Xing Fu and Yu Cheng and Weiqiang Wang and Xinyu Liu},
  year = {2025},
  booktitle = {Proceedings of the 34th ACM International Conference on Information and Knowledge Management},
  publisher = {ACM},
  pages = {1872--1881},
  doi = {10.1145/3746252.3761210},
  url = { https://doi.org/10.1145/3746252.3761210 }
}

@inproceedings{lian2025panoramic,
  title = {Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation},
  author = {Junhong Lian and Xiang Ao and Xinyu Liu and Yang Liu and Qing He},
  year = {2025},
  booktitle = {Companion Proceedings of the ACM on Web Conference 2025},
  publisher = {ACM},
  pages = {1109--1112},
  doi = {10.1145/3701716.3715539},
  url = { https://doi.org/10.1145/3701716.3715539 }
}

@inproceedings{yang2023fact,
  title = {Fact-Preserved Personalized News Headline Generation},
  author = {Zhao Yang and Junhong Lian and Xiang Ao},
  year = {2023},
  booktitle = {2023 IEEE International Conference on Data Mining (ICDM)},
  publisher = {IEEE},
  pages = {1493--1498},
  doi = {10.1109/icdm58522.2023.00197},
  url = { https://doi.org/10.1109/icdm58522.2023.00197 }
}