I am a 3rd year Ph.D. student in Computer Science at Yale University, advised by Alex Wong. My research interests lie in 3D Computer Vision, Multi-modal Machine Learning, and Representation Learning. Previously, I received my B.S. in Computer Science from Carnegie Mellon University with University Honors and a Minor in Neural Computation, advised by Tai-Sing Lee. I had collaborated with the excellent research teams at RTX, Futurewei Technologies, and Lenovo for my past internships.

You can find my full CV here (placeholder link).

Google Scholar

NSF Graduate Research Fellowship (2025) 🏆
Honored to receive support for my research in 3D Computer Vision.

🔥 News

  • 2025.05:  🎉🎉 Joined Futurewei Technologies as a Computer Vision Intern.
  • 2024.06:  🎉🎉 Joined RTX as a Computer Vision Intern.
  • 2023.08:  🎉🎉 Started Ph.D. in Computer Science at Yale University.
  • 2023.06:  🎉🎉 Joined Lenovo as a Computer Vision Intern.

📝 Selected Publications

First Author, ICLR 2026
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ODE-GS: Latent ODEs for Dynamic Scene Extrapolation with 3D Gaussian Splatting

D. Wang, P. Rim, T. Tian, A. Wong, G. Sundaramoorthi

Proceedings of International Conference on Learning Representations (ICLR) 2026

CVPR 2024
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Binding touch to everything: Learning unified multimodal tactile representations

F. Yang, C. Feng, Z. Chen, H. Park, D. Wang, Y. Dou, et al.

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

CVPR 2024
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WorDepth: Variational language prior for monocular depth estimation

Z. Zeng, D. Wang, F. Yang, H. Park, S. Soatto, D. Lao, A. Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

ECCV 2024
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On the viability of monocular depth pre-training for semantic segmentation

D. Lao, F. Yang, D. Wang, H. Park, S. Lu, A. Wong, S. Soatto

European Conference on Computer Vision (ECCV), 2024.

🛠 Technical Skills

  • Programming: C, C++, Python, Java, SQL, SML, HTML, CSS, JavaScript, GO

🎖 Honors and Awards

  • 2025 NSF Graduate Research Fellowship 🏆
  • 2023 4th position in the 2023 VIPriors Object Detection Challenge (ICCV 2023 workshop)
  • 2023 University Honors, Carnegie Mellon University (2023)

📖 Education

  • 2023.08 - Present, Yale University, New Haven, CT

  • 2019.08 - 2023.05, Carnegie Mellon University, Pittsburgh, PA

💻 Industry Experience

  • 2025.05 - 2025.08, Futurewei Technologies (IC Lab), Santa Clara, CA

  • 2024.06 - 2024-12, RTX, Hartford, CT

  • 2023.06 - 2023.08, Lenovo, Beijing, China

🍎 Academic Service

  • Reviewer: CVPR (2025, 2026), ICLR (2025, 2026), NeurIPS (2024, 2025)