Welcome!

I am Yinghao FU, currently a first-year Ph.D. student in Biostatistics at the City University of Hong Kong (CityU), where I am mentored by Professor Yi Yang. Prior to this, I obtained my Master’s degree from The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), where I am advised by Professor Tianwei Yu and Shuang Li.

My research focuses on developing data-driven and theory-driven methods to address challenges in genomics data analysis, with applications in healthcare.

If you are interested in my work, please feel free to drop me an email.

🔥 News

• 2025.06: Three papers accepted at ICML 2025 Workshops:
  • 🗣️ Oral presentation at CFAgentic Workshop
  • 🧾 Poster presentation at MoFA Workshop
  • ✅ Accepted at PRAL Workshop
• 2025.03: One paper accepted in Frontiers in Genetics.
• 2024.07: Gave an invited talk at the EcoStat Conference, Beijing.
• 2024.05: One paper accepted at ICML 2024.
• 2024.04: One paper accepted in Genome Research.
• 2024.01: Presented a talk at PMOSHK in Hong Kong.
• 2024.01: One paper accepted at ICLR 2024.

📝 Publications

(* indicates equal contribution)

Journal

1. Fu, Y., Yang, Y. (2025+). Knockoff-augmented neural networks for identifying risk variants in family-based association studies.

2. Fu, Y., Tian, L.,$ \&$ Zhang, W. (2025). STsisal: a reference-free deconvolution pipeline for spatial transcriptomics data. Frontiers in Genetics.

3. Cai, Q.*, Fu, Y.*, Lyu, C.*, Wang, Z., Rao, S., Alvarez, J. A., Bai, Y., Kang, J., $\&$ Yu, T. (2024). A new framework for exploratory network mediator analysis in omics data. Genome Research.

Conference

1. Cao, C.*, Fu, Y.*, Xv, S., Zhang, R., $\&$ Li, S. (2024). Enhancing Human-AI Collaboration Through Logic-Guided Reasoning. International Conference on Learning Representations (ICLR).

2. Yang, Y., Yang, C., Li, B., Fu, Y., $\&$ Li, S. (2024). Neuro-Symbolic Temporal Point Processes. International Conference on Machine Learning (ICML).

3. Xia, W., Fu, Y., Shi, J., Wu, H., $\&$ Wang, J. (2021). The Team Winning Analysis Model Based on Network and Entropy Weight. 40th Chinese Control Conference (CCC).

Workshop

1. Fu, Y.*, Yang, C.*, Chen, X,, Yan, Y., $\&$ Li, S. Who Should Be Consulted? Targeted Expert Selection for Rare Disease Diagnosis. ICML Workshop on Collaborative and Federated Agentic Workflows. 2025. (Oral)

2. Yan, Y., Fu, Y., Ren, W., $\&$ Li, S. Unanchoring the Mind: DAE-Guided Counterfactual Reasoning for Rare Disease Diagnosis. ICML Workshop on Models of Human Feedback for AI Alignment. 2025.

3. Cao, C., Fu, Y., Yang, C., $\&$ Li, S. Discovering Logic-Informed Intrinsic Rewards to Explain Human Policies. ICML Workshop on Programmatic Representations for Agent Learning. 2025.

📖 Educations

• Ph.D. in Biostatistics (2024-Present)
  City University of Hong Kong
  Advisor: Yi Yang

• M.Sc. in Bioinformatics (2022-2024)
  The Chinese University of Hong Kong, Shenzhen
  Advisors: Tianwei Yu and Shuang Li

• B.Sc. in Statistics (2018-2022)
  East China University of Technology
  Advisor: Weiwei Zhang

💬 Invited Talks

• 2024.07, Integrating Logic Rule-Informed AI with Human Minds: Enhancing Collaborative Decision-Making
  • Beijing, China, July 2024.
• 2024.01, Discovering Logic-Informed Intrinsic Rewards to Explain Human Policies
  • Hong Kong SAR, China, January 2024

💻 Services

• Conference Reviewer: NeurIPS, ICML, ICLR, AISTATS
• Workshop Reviewer: ICML 2025 Workshop MAS

📝 Teaching

• BIOS 5802: Advanced Methods in Biostatistics (Spring 2025)