Yunming Ye
20 papers · 2017–2026 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (8)
π
Renaissance Researcher
(6)
π
Conference Polyglot
(6)
π
Academic Marathon
(8)
π€
Dynamic Duo
(15)
π§¬
Topic Evolution
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(107)
β‘
Prolific Year
(5)
π₯
Unstoppable
(6)
π
Century Club
(18)
Conferences
AAAI (7)
CVPR (7)
IJCAI (3)
ACL (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
few-shot learning
(4)
prototype learning
(3)
vector quantization
(3)
knowledge transfer
(2)
codebook learning
(2)
diffusion model
(2)
neural network
(2)
graph convolutional network
(2)
precipitation nowcasting
(2)
spatio-temporal prediction
(2)
catastrophic forgetting
(1)
feature extraction
(1)
attention mechanism
(1)
continual learning
(1)
image classification
(1)
image restoration
(1)
class-incremental learning
(1)
online learning
(1)
contrastive learning
(1)
image synthesis
(1)
Papers
Improved Masked Image Generation with Knowledge-Augmented Token Representations
AAAI 2026
Satellite-Text-Prompted Large Language Model for Photovoltaic Power Forecasting
AAAI 2026
Sensitivity-Aware Efficient Fine-Tuning via Compact Dynamic-Rank Adaptation
CVPR 2025
Towards Improved Text-Aligned Codebook Learning: Multi-Hierarchical Codebook-Text Alignment with Long Text
CVPR 2025
Integrating Multi-Source Data for Long Sequence Precipitation Forecasting
AAAI 2025
AlphaPre: Amplitude-Phase Disentanglement Model for Precipitation Nowcasting
CVPR 2025
Perceptually Constrained Precipitation Nowcasting Model
ICML 2025
AsyncDSB: Schedule-Asynchronous Diffusion SchrΓΆdinger Bridge for Image Inpainting
AAAI 2025
Codebook Transfer with Part-of-Speech for Vector-Quantized Image Modeling
CVPR 2024
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
AAAI 2024
iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction
AAAI 2024
DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting
CVPR 2024
LG-VQ: Language-Guided Codebook Learning
NIPS 2024
PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning
CVPR 2023
Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning
IJCAI 2022
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning
AAAI 2022
Prototype Completion With Primitive Knowledge for Few-Shot Learning
CVPR 2021
MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product
IJCAI 2020
Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge
ACL 2020
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
IJCAI 2017