ZiTian·Chen
I am a PhD candidate at the University of Massachusetts Amherst, advised by Prof. Erik Learned-Miller. My area of focus is on large-scale models in computer vision. I hold a Bachelor's degree in Computer Science from Fudan University and have gained valuable research experience through internships at NVIDIA Research, Google Brain, Amazon AWS, and the MIT-IBM Watson AI Lab.
Lately, I develop real-time algorithmic decision AI to gain a competitive edge in certain markets. I enjoy feeling intellectually sharp.
My Chinese name is 陈梓天 (Simplified & Traditional). I am actively looking for a full-time job.
SELECTED PUBLICATIONS
-
LegoNet: Dynamic Structured Optimization via Mixture-of-Experts
Zitian Chen, Mingyu Ding, Yikang Shen, Wei Zhan, Erik Learned-Miller, Chuang Gan
-
Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners
CVPR 2023
Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik Learned-Miller, Chuang Gan
-
Image Deformation Meta-network for One-shot Learning
Best paper finalist and Oral at CVPR 2019
Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, Martial Hebert
-
Shot in the Dark: Few-Shot Learning with No Base-Class Labels
Learning from Limited and Imperfect Data workshop at CVPR 2021
Zitian Chen, Subhransu Maji, Erik Learned-Miller
-
Cross-Supervised Object Detection
Arxiv
Zitian Chen, Zhiqiang Shen, Jiahui Yu, Erik Learned-Miller
-
Multi-level Semantic Feature Augmentation for One-shot Learning
IEEE Transactions on Image Processing(TIP)
Zitian Chen, Yanwei Fu, Yinda Zhang, Leonid Sigal
-
Image Block Augmentation for One-Shot Learning
AAAI 2019
Zitian Chen, Yanwei Fu, Kaiyu Chen, Yu-Gang Jiang
