Xingjian SHI
22 papers · 2015–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (11) π Cross-Pollinator (10)
π£
Hot Topic Early Bird
π
Conference Polyglot
(11)
π
Academic Marathon
(10)
π
Triple Crown
π
Grand Slam
π±
Topic Pioneer
π
Keyword Champion
(4)
π
Trend Setter
π
Century Club
(22)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(86)
π₯
Unstoppable
(7)
Conferences
NIPS (6)
EMNLP (3)
ICLR (3)
ICCV (2)
ICML (2)
AAAI (1)
ACL (1)
CVPR (1)
IJCAI (1)
IJCNLP (1)
JMLR (1)
Top co-authors
Keywords
precipitation nowcasting
(4)
deep learning
(3)
text classification
(3)
remote sensing
(2)
weather forecasting
(2)
transfer learning
(2)
earth system forecasting
(2)
spatiotemporal forecasting
(2)
convolutional lstm
(2)
natural language processing
(2)
knowledge distillation
(2)
foundation model
(2)
recommender system
(2)
self-supervised learning
(1)
collaborative filtering
(1)
probabilistic modeling
(1)
hyperparameter optimization
(1)
few-shot learning
(1)
sequence generation
(1)
computer vision
(1)
Papers
L3Ms β Lagrange Large Language Models
ICLR 2025
Bridging Remote Sensors with Multisensor Geospatial Foundation Models
CVPR 2024
Towards Geospatial Foundation Models via Continual Pretraining
ICCV 2023
XTab: Cross-table Pretraining for Tabular Transformers
ICML 2023
Tailoring Instructions to Studentβs Learning Levels Boosts Knowledge Distillation
ACL 2023
Learning Multimodal Data Augmentation in Feature Space
ICLR 2023
Automated Few-Shot Classification with Instruction-Finetuned Language Models
EMNLP 2023
Parameter-Efficient Fine-Tuning Design Spaces
ICLR 2023
PreDiff: Precipitation Nowcasting with Latent Diffusion Models
NIPS 2023
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
NIPS 2022
Removing Batch Normalization Boosts Adversarial Training
ICML 2022
Symbolic Music Generation with Transformer-GANs
AAAI 2021
Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing
EMNLP 2021
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
JMLR 2020
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
IJCAI 2019
Dive into Deep Learning for Natural Language Processing
IJCNLP 2019
Dive into Deep Learning for Natural Language Processing
EMNLP 2019
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
NIPS 2017
Spatiotemporal Modeling for Crowd Counting in Videos
ICCV 2017
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks
NIPS 2016
Natural-Parameter Networks: A Class of Probabilistic Neural Networks
NIPS 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
NIPS 2015