Xutao Li
18 papers · 2015–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (10)
🌈
Renaissance Researcher
(5)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(10)
🤝
Dynamic Duo
(15)
🧬
Topic Evolution
💎
Century Club
(16)
🗃️
Keyword Collector
(92)
⚡
Prolific Year
(5)
🔥
Unstoppable
(6)
Conferences
AAAI (6)
CVPR (6)
IJCAI (3)
ACL (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
few-shot learning
(4)
prototype learning
(3)
spatio-temporal prediction
(2)
vector quantization
(2)
knowledge transfer
(2)
diffusion model
(2)
graph convolutional network
(2)
precipitation nowcasting
(2)
catastrophic forgetting
(1)
attention mechanism
(1)
continual learning
(1)
image classification
(1)
stance detection
(1)
multimodal learning
(1)
feature extraction
(1)
contrastive learning
(1)
model adaptation
(1)
class-incremental learning
(1)
semantic alignment
(1)
online learning
(1)
Papers
Satellite-Text-Prompted Large Language Model for Photovoltaic Power Forecasting
AAAI 2026
Efficient Forecasting of Geostationary Infrared Brightness Temperature Sequences: A Benchmark and a Lightweight Model
AAAI 2026
Perceptually Constrained Precipitation Nowcasting Model
ICML 2025
AlphaPre: Amplitude-Phase Disentanglement Model for Precipitation Nowcasting
CVPR 2025
Integrating Multi-Source Data for Long Sequence Precipitation Forecasting
AAAI 2025
Sensitivity-Aware Efficient Fine-Tuning via Compact Dynamic-Rank Adaptation
CVPR 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
Personalized Ranking Metric Embedding for Next New POI Recommendation
IJCAI 2015