Xingjian SHI
22 papers · 2015–2025 · 11 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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🗺️ Taxonomy Completionist (53) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Triple Crown
🧬
Topic Evolution
🏆
Grand Slam
🧭
Keyword Pioneer
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
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Prolific Year · Productive
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Keyword Collector
(101)
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(15)
Deep Learning
(14)
Learning Types · Machine Learning
(7)
Learning Types · Deep Learning
(7)
Artificial Intelligence
(6)
Computer Vision
(5)
Architectures
(5)
Core AI
(5)
Optimization & Theory
(5)
Techniques
(4)
Natural Language Processing
(3)
Application Areas
(3)
Core Methods
(3)
Domain-Specific
(3)
Resources & Methods
(3)
Keywords
precipitation nowcasting
(4)
natural language processing
(3)
deep learning
(3)
text classification
(3)
knowledge distillation
(2)
foundation model
(2)
convolutional lstm
(2)
tabular data
(2)
spatiotemporal forecasting
(2)
recommender system
(2)
remote sensing
(2)
weather forecasting
(2)
transfer learning
(2)
pre-trained model
(2)
earth system forecasting
(2)
collaborative filtering
(1)
hyperparameter optimization
(1)
few-shot learning
(1)
adversarial robustness
(1)
sequence generation
(1)
Papers
L3Ms — Lagrange Large Language Models
ICLR 2025
Bridging Remote Sensors with Multisensor Geospatial Foundation Models
CVPR 2024
Automated Few-Shot Classification with Instruction-Finetuned Language Models
EMNLP 2023
Learning Multimodal Data Augmentation in Feature Space
ICLR 2023
Parameter-Efficient Fine-Tuning Design Spaces
ICLR 2023
PreDiff: Precipitation Nowcasting with Latent Diffusion Models
NeurIPS 2023
Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation
ACL 2023
Towards Geospatial Foundation Models via Continual Pretraining
ICCV 2023
XTab: Cross-table Pretraining for Tabular Transformers
ICML 2023
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
NeurIPS 2022
Removing Batch Normalization Boosts Adversarial Training
ICML 2022
Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing
EMNLP 2021
Symbolic Music Generation with Transformer-GANs
AAAI 2021
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
JMLR 2020
Dive into Deep Learning for Natural Language Processing
EMNLP 2019
Dive into Deep Learning for Natural Language Processing
IJCNLP 2019
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
IJCAI 2019
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
NeurIPS 2017
Spatiotemporal Modeling for Crowd Counting in Videos
ICCV 2017
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks
NeurIPS 2016
Natural-Parameter Networks: A Class of Probabilistic Neural Networks
NeurIPS 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
NeurIPS 2015