Jiacheng Cheng
8 papers · 2020–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
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Academic Marathon · Sprint
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(18)
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The Questioner
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(4)
Computer Vision
(3)
Deep Learning
(3)
Application Areas
(3)
Optimization & Theory · Machine Learning
(3)
Artificial Intelligence
(2)
Analysis
(2)
Learning Types · Deep Learning
(2)
Architectures
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Processing
(1)
Keywords
deep neural network
(2)
model calibration
(1)
multi-label classification
(1)
egocentric vision
(1)
fine-grained classification
(1)
probability estimation
(1)
gaussian process
(1)
novelty detection
(1)
probability calibration
(1)
distance metric
(1)
bayes optimal classifier
(1)
convolutional neural network
(1)
loss function
(1)
communication compression
(1)
foundation model
(1)
cross-entropy loss
(1)
privacy leakage
(1)
representation consistency
(1)
identity recovery
(1)
label noise learning
(1)
Papers
Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching
AAAI 2026
EgoPrivacy: What Your First-Person Camera Says About You?
ICML 2025
Not All Tokens Matter All The Time: Dynamic Token Aggregation Towards Efficient Detection Transformers
ICML 2025
Learning a Dynamic Privacy-preserving Camera Robust to Inversion Attacks
ECCV 2024
Towards Calibrated Multi-label Deep Neural Networks
CVPR 2024
Calibrating Deep Neural Networks by Pairwise Constraints
CVPR 2022
Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection
CVPR 2021
Learning with Bounded Instance and Label-dependent Label Noise
ICML 2020