Preprints

  1. Nonparametric Inference on Dose-Response Curves Without the Positivity Condition
    Yikun Zhang, Yen-Chi Chen, and Alexander Giessing. arXiv: 2405.09003. (2024+) [ Code ] [ Bib ] [ Poster ]

  2. Efficient Inference on High-Dimensional Linear Models with Missing Outcomes
    Yikun Zhang, Alexander Giessing, and Yen-Chi Chen. arXiv: 2309.06429. (2023+) [ Code ] [ Bib ] [ Poster ]

  3. Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach
    Yikun Zhang, Yen-Chi Chen. arXiv: 2110.08505. (2021+) [ Code ] [ Bib ]

  4. The EM Perspective of Directional Mean Shift Algorithm
    Yikun Zhang, Yen-Chi Chen. arXiv: 2101.10058. (2021+) [ Code ] [ Bib ]

Journals

  1. SCONCE: A Cosmic Web Finder for Spherical and Conic Geometries
    Yikun Zhang, Rafael S. de Souza, and Yen-Chi Chen. Monthly Notices of the Royal Astronomical Society, 517(1): 1197–1217. (2022) [ ArXiv Version ] [ Python Package ] [ Package Documentation ] [ Bib ] [ Poster ]

  2. Linear Convergence of the Subspace Constrained Mean Shift Algorithm: From Euclidean to Directional Data
    Yikun Zhang, Yen-Chi Chen. Information and Inference: A Journal of the IMA, 12(1): 210-311. (2023) [ Arxiv Version ] [ Code ] [ Bib ]

  3. Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data
    Yikun Zhang, Yen-Chi Chen. Journal of Machine Learning Research 22(154): 1-92. (2021) [ ArXiv Version ] [ Code ] [ Bib ]

Conferences

  1. Learning Bayesian Network Structure by Self-Generating Prior Information: The Two-step Clustering-based Strategy
    Yikun Zhang, Yang Liu, and Jiming Liu. In Proceedings of the Workshops of the Thirty-Second (AAAI-18) Conference on Artificial Intelligence, New Orleans, Louisiana, USA, pages 530-537. (2018) [ Talk Slides ] [ Code ] [ Bib ]

  2. Bayesian Network Structure Learning: The Two-step Clustering-based Algorithm
    Yikun Zhang, Jiming Liu, and Yang Liu. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18) Student Abstract and Poster Program, pages 8183-8184. (2018) [ Poster ] [ Bib ]

Other Collaborations

  1. BLADE: Benchmarking Language Model Agents for Data-Driven Science
    Ken Gu, Ruoxi Shang†, Ruien Jiang†, Keying Kuang†, Richard-John Lin†, Donghe Lyu†, Yue Mao†, Youran Pan†, Teng Wu†, Jiaqian Yu†, Yikun Zhang†, Tianmai M. Zhang†, Lanyi Zhu†, Mike A. Merrill, Jeffrey Heer, Tim Althoff (†=equal contributions). Findings of the Association for Computational Linguistics: EMNLP 2024, pages 13936–13971, Miami, Florida, USA. (2024) [ Arxiv Version ] [ Code ]

Dissertation

Undergraduate Thesis: Yikun Zhang (2018) Bayesian Network Structure Learning: The Two-Step Clustering-Based Strategy and Algorithm Combination.