Publications

• A Survey of Data Attribution: Methods, Applications, and Evaluation in the Era of Generative AI
  Junwei Deng*, Yuzheng Hu*, Pingbang Hu*, Ting-Wei Li*, Shixuan Liu*, ..., Shiyuan Zhang, ..., Jiaqi W. Ma.
  Preprint, 2025.
  [Paper]


• Exploring Training Data Attribution under Limited Access Constraints
  Shiyuan Zhang*, Junwei Deng*, Juhan Bae, Jiaqi W. Ma.
  Preprint, 2025.
  [Paper]


• Taming Hyperparameter Sensitivity in Data Attribution: Practical Selection Without Costly Retraining
  Weiyi Wang, Junwei Deng, Yuzheng Hu, Shiyuan Zhang, Xirui Jiang, Runting Zhang, Han Zhao, Jiaqi W. Ma.
  NeurIPS, 2025.
  [Paper] [Code]


• TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models
  Zeqing Wang*, Shiyuan Zhang*, Chengpei Tang, Keze Wang.
  CVPR 2026 DataMFM Workshop.
  [Paper] [Code]


• dattri: A Library for Efficient Data Attribution
  Junwei Deng*, Ting-Wei Li*, Shiyuan Zhang, Shixuan Liu, Yijun Pan, Hao Huang, Xinhe Wang, Pingbang Hu, Xingjian Zhang, Jiaqi W. Ma.
  NeurIPS, 2024. Spotlight Paper.
  [Paper] [Code] [Blog]


• Computational Copyright: Towards A Royalty Model for Music Generative AI
  Junwei Deng, Xirui Jiang, Shiyuan Zhang, Shichang Zhang, Himabindu Lakkaraju, Ruijiang Gao, Chris Donahue, Jiaqi W. Ma.
  ICML 2024 GenLaw Workshop; ICLR 2024 DPFM Workshop, Best Paper Award.
  [Paper]


• Nuanced Multi-class Detection of Machine-Generated Scientific Text
  Shiyuan Zhang, Yubin Ge, Xiaofeng Liu.
  PACLIC, 2024. (Oral Presentation)
  [Paper] [Code]