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Jiaying Wu

Research Fellow
National University of Singapore
jiayingwu@u.nus.edu jiayingw@nus.edu.sg


Welcome to Jiaying’s Homepage!

I am a postdoctoral Research Fellow at the Centre for Trusted Internet and Community at National University of Singapore (NUS), working with Prof. Min-Yen Kan and affiliated with NUS Web IR / NLP Group (WING).

I completed my Ph.D. in Computer Science at NUS in 2024, where I was fortunate to work with Prof. Bryan Hooi.

Research Interests

My research interests are at the intersection of natural language processing and data mining, with a focus on:

I am currently on the job market, seeking research opportunities in both academia and industry (including postdoc positions) starting in 2026, and always open to collaborations. Feel free to get in touch by email.

News

Selected Publications / Preprints

    Please see my Google Scholar for a full, up-to-date list.
    ( * indicates equal contribution, † indicates corresponding author.)

  1. Preprint
    Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation
    Jiaying Wu*, Zihang Fu*, Haonan Wang, Fanxiao Li, Min-Yen Kan
    arXiv:2510.11423, 2025.
    PDF

  2. Preprint
    Seeing Through Deception: Uncovering Misleading Creator Intent in Multimodal News with Vision-Language Models
    Jiaying Wu, Fanxiao Li, Zihang Fu, Min-Yen Kan, Bryan Hooi
    arXiv:2505.15489, 2025.
    PDF

  3. Preprint
    JudgeLRM: Large Reasoning Models as a Judge
    Nuo Chen, Zhiyuan Hu, Qingyun Zou, Jiaying Wu, Qian Wang, Bryan Hooi, Bingsheng He
    arXiv:2504.00050, 2025.
    PDF Code

  4. Preprint
    Efficient Inference for Large Reasoning Models: A Survey
    Yue Liu*, Jiaying Wu*, Yufei He*, Ruihan Gong*, Jun Xia, Liang Li, Hongcheng Gao, Hongyu Chen, Baolong Bi, Jiaheng Zhang, Zhiqi Huang, Bryan Hooi, Stan Z. Li, Keqin Li
    arXiv:2503.23077, 2025.
    PDF Paper List

  5. NeurIPS
    Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection
    Herun Wan, Jiaying Wu, Minnan Luo, Zhi Zeng, Zhixiong Su
    NeurIPS 2025
    PDF Code

  6. NeurIPS
    ConfTuner: Training Large Language Models to Express Their Confidence Verbally
    Yibo Li, Miao Xiong, Jiaying Wu, Bryan Hooi
    NeurIPS 2025
    PDF Code

  7. NeurIPS D&B
    MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research
    Hui Chen, Miao Xiong, Yujie Lu, Wei Han, Ailin Deng, Yufei He, Jiaying Wu, Yibo Li, Yue Liu, Bryan Hooi
    NeurIPS 2025 (Datasets and Benchmarks)
    PDF Code

  8. KDD Workshop
    CCSBench: Evaluating Compositional Controllability in LLMs for Scientific Document Summarization
    Yixi Ding, Jiaying Wu†, Tongyao Zhu, Yanxia Qin, Qian Liu, Min-Yen Kan†
    KDD 2025 SciSoc LLM Workshop
    PDF Code Oral

  9. ACL
    IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection
    Zhi Zeng, Jiaying Wu, Minnan Luo, Herun Wan, Xiangzheng Kong, Zihan Ma, Guang Dai, Qinghua Zheng
    ACL 2025
    PDF Code Oral

  10. ACL Findings
    CMIE: Combining MLLM Insights with External Evidence for Explainable Out-of-Context Misinformation Detection
    Fanxiao Li, Jiaying Wu, Canyuan He, Wei Zhou
    ACL Findings 2025
    PDF Code

  11. NeurIPS
    ID3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition
    Shen Li, Jianqing Xu, Jiaying Wu, Miao Xiong, Ailin Deng, Jiazhen Ji, Yuge Huang, Wenjie Feng, Shouhong Ding, Bryan Hooi
    NeurIPS 2024
    PDF

  12. KDD
    Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks
    Jiaying Wu, Jiafeng Guo, Bryan Hooi
    KDD 2024
    PDF Code

  13. NeurIPS
    Proximity-Informed Calibration for Deep Neural Networks
    Miao Xiong, Ailin Deng, Pang Wei Koh, Jiaying Wu, Shen Li, Jianqing Xu, Bryan Hooi
    NeurIPS 2023
    PDF Code Spotlight

  14. CIKM
    Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection
    Jiaying Wu, Shen Li, Ailin Deng, Miao Xiong, Bryan Hooi
    CIKM 2023
    PDF Code

  15. KDD
    DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection
    Jiaying Wu, Bryan Hooi
    KDD 2023
    PDF Code

  16. CVPR
    Probabilistic Knowledge Distillation of Face Ensembles
    Jianqing Xu, Shen Li, Ailin Deng, Miao Xiong, Jiaying Wu, Jiaxiang Wu, Shouhong Ding, Bryan Hooi
    CVPR 2023
    PDF

  17. ECML PKDD
    Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks
    Jiaying Wu, Bryan Hooi
    ECML-PKDD 2022
    PDF Code

Services

Conference Area Chair / SPC

Conference Reviewer / PC Member

Journal Reviewer

Misc.

With a B.Eng. in Computer Science and a Double Degree (B.A.) in English from Beijing Foreign Studies University (BFSU) (2016–2020), my years there sparked a lasting love for language. During this time, I became a CATTI-certified English–Chinese translator (Level 2) and interpreter (Level 3), and contributed to the English-to-Chinese translation of four books and one book series, all published in China. These experiences continue to shape how I think about communication and meaning.


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