About
I currently work at Meta Recommendation System as a Software Engineer, building machine learning systems for products used at Meta scale. My interests sit at the intersection of multimodal representation learning, recommendation, and human-centered intelligence.
I received my Ph.D. in Computer Science from Carnegie Mellon University, where I was advised by Dr. Leila Wehbe. My doctoral work investigated the bridge between deep neural networks and the human brain, asking how visual intelligence emerges across biological and artificial systems.
During my PhD, I have done research internships at Meta Reality Labs, working on self-supervised learning methods for neuromuscular data representation and downstream adaptation.
Prior to CMU, I received my Bachelor of Engineering from the Department of Automation at Tsinghua University. During my undergrad time, I worked with Dr. Jiwen Lu.
CV
Work Experience
-
Software Engineer
Meta Recommendation System
-
Research Scientist Intern
Reality Labs
Education
-
Doctor of Philosophy
School of Computer Science, Carnegie Mellon University
-
Bachelor of Engineering
Department of Automation, Tsinghua University
Publications
Selected Articles
2024
-
Stacked regressions and structured variance partitioning for interpretable brain maps
2023
-
Selectivity for food in human ventral visual cortex
2019
-
Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN
-
Adversarial domain adaptation for cross data source macromolecule in situ structural classification in cellular electron cryo-tomograms
2018
-
Improved deep learning-based macromolecules structure classification from electron cryo-tomograms
-
Deep learning based supervised semantic segmentation of electron cryo-subtomograms
2016
-
Correlated and individual multi-modal deep learning for RGB-D object recognition