I am currently a research scientist at Samsung Research America AI Center, working on 3D computer vision projects. I received her PhD from New York University and advised by Prof. Yi Fang. My PhD dissertation title “(3D) Geometric Feature Learning from 2D Images” obtained 2020 NYU Pearl Brownstein Doctoral Research Award (awarded to PhD students whose doctoral research shows the greatest promise). I also did my master at New York University, where I worked with Prof. Edward Wong.

Education

• Ph.D. in Computer Science, New York University, NY, United States, 2016-2020
• M.S. in Computer Science, New York Univeristy, NY, United States, 2013-2015
• B.Eng. in Software Engineering, Guangdong University of Foreign Studies, Guangzhou, China, 2009-2013

Professional Experience

• Sept. 2020 - Present, Research Scientist at Samsung Research America, Inc
• Mar. 2020 - May 2020, Intern at Apple, Inc
• Sept. 2015 - May 2020, Research Assistant at NYU Multimedia and Visual Computing Lab
• Feb. 2013 - May 2013, Intern at IBM (China)

Publications

MDA-Net: Memorable Domain Adaptation Network for Monocular Depth Estimation
Jing Zhu, Yunxiao Shi, Mengwei Ren, Yi Fang
British Machine Vision Conference (BMVC) 2020

Reference Grid-assisted Network for 3D Point Signature Learning from Point Clouds
Jing Zhu, Yi Fang
The Winter Conference on Applications of Computer Vision (WACV) 2020

Learning Object-specific Distance from a Monocular Image, accepted by International Conference on Computer Vision
Jing Zhu, Yi Fang
the International Conference on Computer Vision (ICCV) 2019

Pairwise Attention Encoding for Point Cloud Feature Learning
Yunxiao Shi, Haoyu Fang, Jing Zhu, Yi Fang
International Conference on 3D Vision (3DV) 2019

Learning Local Descriptors with Adversarial Enhancer from Volumetric Geometry Patches
Jing Zhu, Yi Fang
the 26th ACM International Conference on Multimedia (ACM MM) 2018

Learning Adversarial 3D Model Generation With 2D Image Enhancer
Jing Zhu, Jin Xie and Yi Fang
the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI) 2018

Learning Domain-invariant Feature for Robust Depth-image-based 3D Shape Retrieval
Jing Zhu, John-Ross Rizzo and Yi Fang
Pattern Recognition Letters (PRL), 2017

Learning Pairwise Neural Network Encoder for Depth Image-based 3D Model Retrieval
Jing Zhu, Fan Zhu, Edward Wong and Yi Fang
the 23rd Annual ACM International Conference on Multimedia (ACM MM) 2015

A Dynamic Density-Based Clustering Algorithm Appropriate to Large-Scale Text Processing
Xia Li, Shengyi Jiang, Qiansheng Zhang, Jing Zhu
the 1st CCF Conference on Natural Language Processing & Chinese Computing(NLP & CC), and Acta Scientiarum Naturalium Univer- sitatis Pekinensis, 2013, 49(1): 133-139

Service

Reviewer of

• Conference: CVPR, IROS, ICRA, BMVC
• Journal: TIP, TMM, TNNLS, ACM Computing Surveys, IEEE Access

Teaching

Undergradute:

• Data Structures and Algorithms
• Machine Learning

Graduate:

• 3D Computer Vision: Techniques and Applications
• Advanced 3D Computer Vision
• Design and Analysis of Algorithms I