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ResearcherID: GLU-9637-2022

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Education and qualifications (2)

University of California, San Diego: LA JOLLA, CA, US

2018 to present | PhD (Electrical and Computer Engineering)
Education
Source: Self-asserted source
Jiacheng Cheng

University of Science and Technology of China: Hefei, Anhui, CN

2014 to 2018 | BEng (Electronic Engineering and Information Science)
Education
Source: Self-asserted source
Jiacheng Cheng

Professional activities (1)

Institute of Electrical and Electronics Engineers: Piscataway, US

2021 to present | Graduate Student Member
Membership
Source: Self-asserted source
Jiacheng Cheng

Works (6)

Learning a Dynamic Privacy-Preserving Camera Robust to Inversion Attacks

2025 | Book chapter
DOI: 10.1007/978-3-031-72897-6_20
Contributors: Jiacheng Cheng; Xiang Dai; Jia Wan; Nick Antipa; Nuno Vasconcelos
Source: check_circle
Crossref

Towards Calibrated Multi-Label Deep Neural Networks

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2024-06-16 | Conference paper
DOI: 10.1109/cvpr52733.2024.02605
Contributors: Jiacheng Cheng; Nuno Vasconcelos
Source: Self-asserted source
Jiacheng Cheng

Deep Learning Estimation of 10-2 Visual Field Map Based on Macular Optical Coherence Tomography Angiography Measurements

American Journal of Ophthalmology
2024-01 | Journal article
DOI: 10.1016/j.ajo.2023.09.014
Contributors: Golnoush Mahmoudinezhad; Sasan Moghimi; Jiacheng Cheng; Liyang Ru; Dongchen Yang; Kushagra Agrawal; Rajeev Dixit; Siavash Beheshtaein; Kelvin H. Du; Kareem Latif et al.
Source: check_circle
Crossref

Calibrating Deep Neural Networks by Pairwise Constraints

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2022-06 | Conference paper
DOI: 10.1109/cvpr52688.2022.01334
Contributors: Jiacheng Cheng
Source: Self-asserted source
Jiacheng Cheng

Learning Deep Classifiers Consistent with Fine-Grained Novelty Detection

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2021-06 | Conference paper
DOI: 10.1109/cvpr46437.2021.00171
Source: Self-asserted source
Jiacheng Cheng

Learning with Bounded Instance and Label-dependent Label Noise

Proceedings of the 37th International Conference on Machine Learning
2020 | Conference paper
URI:

http://proceedings.mlr.press/v119/cheng20c.html

Source: Self-asserted source
Jiacheng Cheng

Peer review (1 review for 1 publication/grant)

Review activity for IEEE transactions on pattern analysis and machine intelligence. (1)
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