Yao Ni
8 papers · 2018–2025 · 5 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 · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Deep Learning
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Core Methods
(3)
Learning Paradigms
(3)
Learning Types · Machine Learning
(3)
Models
(3)
Computer Vision
(2)
Analysis
(2)
Learning Types · Deep Learning
(2)
Core AI
(1)
Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
generative adversarial network
(4)
consistency regularization
(2)
image generation
(2)
domain generalization
(1)
manifold learning
(1)
variational inference
(1)
object detection
(1)
prototype learning
(1)
feature representation
(1)
class imbalance
(1)
visual recognition
(1)
semi-supervised classification
(1)
parameter-efficient fine-tuning
(1)
gradient norm
(1)
model generalization
(1)
feature augmentation
(1)
long-tailed distribution
(1)
open-world object detection
(1)
mode collapse
(1)
feature perturbation
(1)
Papers
Open-World Objectness Modeling Unifies Novel Object Detection
CVPR 2025
CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization
CVPR 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
NeurIPS 2024
Semantic Transfer From Head to Tail: Enlarging Tail Margin for Long-Tailed Visual Recognition
WACV 2024
NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs
NeurIPS 2023
s-Adaptive Decoupled Prototype for Few-Shot Object Detection
ICCV 2023
Manifold Learning Benefits GANs
CVPR 2022
CAGAN: Consistent Adversarial Training Enhanced GANs
IJCAI 2018