Yaoyao Liu
16 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (5) π§ Keyword Pioneer π Academic Marathon (6) π Conference Polyglot (6) π Renaissance Researcher (7)
πΊοΈ
Taxonomy Completionist
(38)
π§
Keyword Pioneer
π
Conference Polyglot
(6)
π€
Dynamic Duo
(10)
π
Keyword Champion
(2)
β‘
Prolific Year
(5)
π
Century Club
(15)
ποΈ
Keyword Collector
(65)
Conferences
CVPR (6)
NIPS (4)
AAAI (2)
ECCV (2)
ICLR (1)
WACV (1)
Top co-authors
Keywords
class-incremental learning
(6)
catastrophic forgetting
(4)
continual learning
(4)
knowledge distillation
(3)
object detection
(3)
incremental learning
(2)
transfer learning
(2)
exemplar selection
(2)
exemplar replay
(2)
online learning
(2)
few-shot learning
(2)
image classification
(2)
hyperparameter optimization
(2)
markov decision process
(2)
bilevel optimization
(2)
semi-supervised learning
(1)
pose estimation
(1)
3d reconstruction
(1)
pseudo labeling
(1)
network architecture
(1)
Papers
Learning from Imperfect Data: Incremental Learning and Few-shot Learning
AAAI 2026
Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning
CVPR 2025
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
Generating Images with 3D Annotations Using Diffusion Models
ICLR 2024
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding
NIPS 2024
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting
NIPS 2024
Class-Incremental Exemplar Compression for Class-Incremental Learning
CVPR 2023
Online Hyperparameter Optimization for Class-Incremental Learning
AAAI 2023
Continual Detection Transformer for Incremental Object Detection
CVPR 2023
Adaptive Aggregation Networks for Class-Incremental Learning
CVPR 2021
RMM: Reinforced Memory Management for Class-Incremental Learning
NIPS 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
NIPS 2019
Meta-Transfer Learning for Few-Shot Learning
CVPR 2019