About Me

I am currently a Postdoctoral Researcher at Yale University, advised by Tara Boroushaki. Prior to this, I earned my PhD from Statistical Visual Computing Lab at University of California San Diego in 2025, under Nuno Vasconcelos. I received my undergraduate degree from University of Science and Technology of China in 2018.

Research Interests

My research interests broadly span machine learning, computer vision, and imaging. A selection of my publications is listed below; the full publication record is available on my Google Scholar page.

EgoPrivacy: What Your First-Person Camera Says About You
Yijiang Li, Genpei Zhang, Jiacheng Cheng (✉️), Yi Li, Xiaojun Shan, Dashan Gao, Jiancheng Lyu, Yuan Li, Ning Bi, Nuno Vasconcelos
ICML 2025 | [PMLR] | [CODE]
Learning a Dynamic Privacy-preserving Camera Robust to Inversion Attacks
Jiacheng Cheng (✉️), Xiang Dai, Jia Wan, Nick Antipa, Nuno Vasconcelos
ECCV 2024 (Oral Presentation) | [PDF] | [CODE]
Towards Calibrated Multi-label Deep Neural Networks
Jiacheng Cheng (✉️) and Nuno Vasconcelos
CVPR 2024 | [PDF] | [CODE]
Calibrating Deep Neural Networks by Pairwise Constraints
Jiacheng Cheng (✉️), Nuno Vasconcelos
CVPR 2022 (Oral Presentation) | [PDF]
Learning Deep Classifiers Consistent with Fine-Grained Novelty Detection
Jiacheng Cheng (✉️), Nuno Vasconcelos
CVPR 2021 | [PDF] | [CODE]
Learning with Bounded Instance- and Label-dependent Label Noise
Jiacheng Cheng, Tongliang Liu, Kotagiri Ramamohanarao, Dacheng Tao
ICML 2020 | [PMLR] | [PDF] | [CODE]
✉️ denotes Corresponding author