Yaoyao Liu
16 papers · 2019–2026 · 6 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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πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π€
Dynamic Duo
(10)
π
Renaissance Researcher
(5)
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(71)
Top co-authors
Research topics
Machine Learning
(12)
Learning Types Β· Machine Learning
(10)
Deep Learning
(9)
Learning Types Β· Deep Learning
(5)
Artificial Intelligence
(4)
Computer Vision
(3)
Application Areas
(3)
Learning Paradigms Β· Artificial Intelligence
(3)
Learning Paradigms Β· Machine Learning
(3)
Models
(3)
Optimization & Theory
(3)
Analysis
(2)
Core Methods
(2)
Generation
(2)
Computer Science
(1)
Keywords
class-incremental learning
(6)
continual learning
(4)
catastrophic forgetting
(4)
knowledge distillation
(3)
object detection
(3)
incremental learning
(2)
transfer learning
(2)
image classification
(2)
online learning
(2)
exemplar selection
(2)
few-shot learning
(2)
markov decision process
(2)
bilevel optimization
(2)
hyperparameter optimization
(2)
exemplar replay
(2)
pose estimation
(1)
semi-supervised learning
(1)
network architecture
(1)
3d reconstruction
(1)
image generation
(1)
Papers
Learning from Imperfect Data: Incremental Learning and Few-shot Learning
AAAI 2026
Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning
CVPR 2025
Generating Images with 3D Annotations Using Diffusion Models
ICLR 2024
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting
NeurIPS 2024
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding
NeurIPS 2024
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning
ECCV 2024
Wakening Past Concepts Without Past Data: Class-Incremental Learning From Online Placebos
WACV 2024
Class-Incremental Exemplar Compression for Class-Incremental Learning
CVPR 2023
Continual Detection Transformer for Incremental Object Detection
CVPR 2023
Online Hyperparameter Optimization for Class-Incremental Learning
AAAI 2023
Adaptive Aggregation Networks for Class-Incremental Learning
CVPR 2021
RMM: Reinforced Memory Management for Class-Incremental Learning
NeurIPS 2021
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
ECCV 2020
Mnemonics Training: Multi-Class Incremental Learning Without Forgetting
CVPR 2020
Learning to Self-Train for Semi-Supervised Few-Shot Classification
NeurIPS 2019
Meta-Transfer Learning for Few-Shot Learning
CVPR 2019