Yicong Jiang

I received my PhD in Statistics from the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences in 2025, where I was advised by Professor Lucas Janson and Professor Tracy Ke.

My expertise lies in statistical modeling, machine learning, time series data, experimental design, and causal inference. I also have a deep understanding of finance and economics, particularly in pricing models and trade strategy. Additionally, I am proficient in C++, Python, and R.

Previously, I obtained an Honorary Bachelor's degree in Statistics and a Bachelor's degree in Economics from Peking University. I also interned at Microsoft Research Asia, where I conducted research on machine learning with a focus on differential privacy.

Publications

Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis
Yicong Jiang, Zheng Tracy Ke
Advances in Neural Information Processing Systems, 2025
Cite
@inproceedings{jiang2025ssvh,
  title     = {Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis},
  author    = {Jiang, Yicong and Ke, Zheng Tracy},
  booktitle = {Advances in Neural Information Processing Systems},
  year      = {2025}
}
Semiparametric Inference for Partially Identifiable Data Fusion Estimands via Double Machine Learning
Yicong Jiang, Lucas Janson
arXiv preprint arXiv:2502.05319, 2025 preprint
Cite
@article{jiang2025datafusion,
  title   = {Semiparametric Inference for Partially Identifiable Data Fusion Estimands via Double Machine Learning},
  author  = {Jiang, Yicong and Janson, Lucas},
  journal = {arXiv preprint arXiv:2502.05319},
  year    = {2025}
}
On Statistical Learning for Structural Data: Data Fusion and Semi-supervised Learning
Yicong Jiang
Doctoral Dissertation, Harvard University Graduate School of Arts and Sciences, 2025
Cite
@phdthesis{jiang2025thesis,
  title  = {On Statistical Learning for Structural Data: Data Fusion and Semi-supervised Learning},
  author = {Jiang, Yicong},
  year   = {2025},
  school = {Harvard University}
}
Contribution to the Discussion of “Root and Community Inference on the Latent Growth Process of a Network” by Harry Crane and Min Xu
Yicong Jiang, Zheng Tracy Ke
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2024
Cite
@article{jiang2024contribution,
  title   = {Contribution to the Discussion of "Root and Community Inference on the Latent Growth Process of a Network" by Harry Crane and Min Xu},
  author  = {Jiang, Yicong and Ke, Zheng Tracy},
  journal = {Journal of the Royal Statistical Society Series B: Statistical Methodology},
  year    = {2024},
  doi     = {10.1093/jrsssb/qkae048}
}
Semi-supervised Community Detection via Structural Similarity Metrics
Yicong Jiang, Tracy Ke
International Conference on Learning Representations, 2023
Awarded 2022-2023 Dempster Prize
Cite
@inproceedings{jiang2023sscd,
  title     = {Semi-supervised Community Detection via Structural Similarity Metrics},
  author    = {Jiang, Yicong and Ke, Tracy},
  booktitle = {International Conference on Learning Representations},
  year      = {2023}
}

Contact

Email: yicong_jiang AT g.harvard.edu
LinkedIn: https://www.linkedin.com/in/yicong-harry-jiang/