SVCL - Jiacheng Cheng

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Jiacheng Cheng

Jiacheng Cheng

Electrical & Computer Engineering
University of California, San Diego

EBU-1, Room 4605
9500 Gilman Drive
La Jolla, CA 92093

jicheng (at) ucsd (dot) edu


Bio

I am currently a PhD student at UC San Diego, under the supervision of Prof. Nuno Vasconcelos. I received the B.E. degree (with honors) in Electronic Engineering & Information Science (EEIS) from University of Science and Technology of China (USTC), in 2018. My current research interest is in machine learning and its application in computer vision.

Publications

Learning a Dynamic Privacy-preserving Camera Robust to Inversion Attacks
Jiacheng Cheng, Xiang Dai, Jia Wan, Nick Antipa, and Nuno Vasconcelos
European Conference on Computer Vision (ECCV)
Milano, Italy, 2024
[ Paper | Supplemental | BibTeX | Code ]

Towards Calibrated Multi-label Deep Neural Networks
Jiacheng Cheng and Nuno Vasconcelos
Conference on Computer Vision and Pattern Recognition (CVPR)
Seattle, United States, 2024
[ Paper | Supplemental | BibTeX | Code ]

Deep Learning Estimation of 10-2 Visual Field Map Based on Macular Optical Coherence Tomography Angiography Measurements
Golnoush Mahmoudinezhad*, Sasan Moghimi*, Jiacheng Cheng, Liyang Ru, Dongchen Yang, Kushagra Agrawal, Rajeev Dixit, Siavash Beheshtaein, Kelvin H. Du, Kareem Latif, Gopikasree Gunasegaran, Eleonora Micheletti, Takashi Nishida, Alireza Kamalipour, Evan Walker, Mark Christopher, Linda Zangwill, Nuno Vasconcelos, Robert N. Weinreb
American Journal of Ophthalmology
2023
[ PDF | doi:10.1016/j.ajo.2023.09.014 ]

Calibrating Deep Neural Networks by Pairwise Constraints
Jiacheng CHeng, Nuno Vasconcelos
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
New Orleans, Louisiana, United States, 2022
[ PDF | Supplemental | BibTex | Code ]

Learning Deep Classifiers Consistent with Fine-Grained Novelty Detection
Jiacheng Cheng, Nuno Vasconcelos
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Online, 2021
[ PDF | Supplemental | BibTex | Code ]

Learning with Bounded Instance- and Label-dependent Label Noise
Jiacheng Cheng, Tongliang Liu, Kotagiri Ramamohanarao, Dacheng Tao
International Conference on Machine Learning (ICML)
Online, 2020
[ Paper | Supplement | Code ]

Education

UCSD

University of California, San Diego
Ph.D. in Electrical and Computer Engineering

2018–Present
La Jolla, CA

CUHK

University of Science and Technology of China
B.Eng. (Hon.) in Electronic Engineering & Information Science

2014–2018
Hefei, China

Professional Experience

University of California, San Diego
Graduate Student Researcher

2019–Present
La Jolla, CA

The University of Sydney
Visiting Student

2017
Sydney, Australia

Awards and Honors

Electrical and Computer Engineering Department Fellowship
by University of California, San Diego

2018

Guo Moruo Scholarship
by University of Science and Technology of China

2017

China National Scholarship
by Ministry of Education, China

2016



Updated: 06/05/21



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