YuntianWang
Los Angeles, CA
I'm a
Passionate about the intersection of deep learning and diffractive optics, interested in physics-enabled deep learning applications in real world.
Passionate About Physics-enabled Deep Learning Applications in Real World
My research uses deep learning to design intelligent diffractive optical systems, moving computational tasks from software into physical hardware for faster, more efficient processing.
Resume
Ph.D. Student in Electrical and Computer Engineering specializing in Deep Learning for Diffractive Optics and Computational Pathology
Short Summary
Passionate about the intersection of deep learning and diffractive optics, interested in physics-enabled deep learning applications in real world
Contact Information
- 420 Westwood Plaza, Los Angeles, CA 90024
- yuntianwww@ucla.edu
- +1 3109030381/+86 13100702939
Technical Skills
Python, MATLAB, Java, C for embedding system.
PyTorch, Tensorflow, JAX
Zemax, Solidworks (CSWA certificant), AutoCAD
Native in Chinese, Fluent in English
Research Experience
Deep Learning based Diffractive Optics Optimization
2023 - Present
UCLA ECE, Advisor: Aydogan Ozcan
- Developed a diffractive surface-based pipeline for universal optical waveguide design, which can be streamed down to various tasks such as redirecting, filtering, splitting, and polarization maintaining.
- Designed a diffractive surface system capable of selectively transmitting different classes of images based on the polarization. Bringing innovative methods for privacy protection.
Structure Health Monitoring using Diffractive Processors
2024 - Present
UCLA ECE, Advisor: Aydogan Ozcan
- Designed a hybrid (optical plus digital) system utilizing deep learning to encode vibration spectrum of a building optically and decode by digital network, providing fast and high accuracy structure health monitoring solutions.
Transferable and Universal Adversarial Attacks on Computational Pathology Models
Mar 2025 - Present
UCLA ECE, Advisor: Aydogan Ozcan
- Developed Universal and Transferable Adversarial Perturbations (UTAP) that reveal critical vulnerabilities in pathology foundation models. UTAP comprises a fixed, visually imperceptible microscopic noise pattern that systematically disrupts feature representations, causing significant performance drops across diverse datasets and multiple black-box foundation models.
- Demonstrated both universality (dataset-independent perturbation) and transferability (effective against unseen external models), establishing a benchmark for robustness evaluation and highlighting the need for defense mechanisms in AI-driven pathology and optical microscopy.
Nonlinear Optical Computing with Diffractive Processors
Jan 2026 - Present
UCLA ECE, Advisor: Aydogan Ozcan
- Demonstrated that linear diffractive systems can perform large-scale nonlinear function approximation under incoherent or partially coherent illumination, achieving snapshot computation of up to one million distinct nonlinear functions in a single forward pass.
- Introduced a compact single-layer encoder-decoder co-localization architecture that achieves programmable nonlinear input-output mappings without nonlinear optical materials, proven to be a universal approximator for arbitrary band-limited nonlinear functions.
Optical Diffusion-based Generative Models
Dec 2024 - Jul 2025
UCLA ECE, Advisor: Aydogan Ozcan
- Involved in building an optical generative model capable of generative multiple classes of images including simple dataset to Van Gogh style artwork. The optical generative model drastically decrease the computational power required for novel image generation.
Education
Ph.D. in Electrical and Computer Engineering
Sep 2023 - Present
University of California, Los Angeles
GPA: 3.975/4.0 | Advisor: Aydogan Ozcan
Bachelor in Electrical and Electronics Engineering
Sep 2019 - Jun 2023
Southern University of Science and Technology
GPA: 3.89/4.0 | Advisor: Perry Ping Shum
Honors and Awards
Amazon AI PhD Fellowship
2025 - 2027
Emil Wolf Outstanding Student Paper Competition
2025
Frontiers in Optics (FiO)
Departmental Fellowship
2023 - 2025
University of California, Los Angeles
Top 10 Undergraduate Student in Engineering School
2023
Southern University of Science and Technology, Shenzhen
Publications
Universal and Transferable Attacks on Pathology Foundation Models using Microscopic Perturbations
Jun 2026
Light: Science & Applications
Yuntian Wang, Xilin Yang, Che-Yung Shen, Shuhang Dong, Nir Pillar, Aydogan Ozcan
Breaking the Cascade: Compact Nonlinear Optical Computing with Single-Layer Encoder-Decoder Co-Localization
May 2026
arXiv Preprint
Yuntian Wang, Alexander Chen, Md Sadman Sakib Rahman, Aydogan Ozcan
Large-scale Nonlinear Optical Computing with Incoherent Light via Linear Diffractive Systems
Mar 2026
arXiv Preprint
Alexander Chen, Yuntian Wang, Md Sadman Sakib Rahman, Yuhang Li, Aydogan Ozcan
Structural Vibration Monitoring with Diffractive Optical Processors
Mar 2026
Science Advances
Yuntian Wang, Zafer Yilmaz, Yuhang Li, Edward Liu, Eric Ahlberg, Farid Ghahari, Ertugrul Taciroglu, Aydogan Ozcan
Optical Generative Models
Aug 2025
Nature
Shiqi Chen, Yuhang Li, Yuntian Wang, Hanlong Chen, Aydogan Ozcan
Optimizing Structured Surfaces for Diffractive Waveguides
Jun 2025
Nature Communications
Yuntian Wang, Yuhang Li, Tianyi Gan, Kun Liao, Mona Jarrahi, Aydogan Ozcan
Conferences
Universal Nonlinear Optical Computing with Single-Layer Encoder-Decoder Co-Localization (Oral)
Oct 2026
Frontiers in Optics (FiO)
Universal Adversarial Microscopic Perturbations Reveal Transferable Vulnerabilities in Pathology Foundation Models (Oral)
Apr 2026
Optica Biophotonics
Diffractive Optical Processors for 3D Vibration Sensing (Oral)
May 2026
CLEO
Diffractive Waveguides Designed by Deep Learning (Oral)
Aug 2025
SPIE Optics + Photonics
Projects
Here is the selection of my projects
Contact
Feel free to contact me!
Contact Info
My Location
420 Westwood Plaza
Los Angeles, CA 90024
Phone Number
+1 310 903 0381
+86 131 0070 2939
Email Address
yuntianwww@ucla.edu