Xingjian Shi | DeepAI

DeepAI AI Chat

Featured Co-authors

Bo Li
461 publications
Hao Wang
366 publications
Zhangyang Wang
245 publications
Shafiq Joty
118 publications
Irwin King
101 publications
Yi Zhu
96 publications
Andrew Gordon Wilson
92 publications
Ding Zhao
90 publications
Diyi Yang
75 publications
Anshumali Shrivastava
73 publications
Mu Li
73 publications

∙ 07/19/2023

PreDiff: Precipitation Nowcasting with Latent Diffusion Models

Earth system forecasting has traditionally relied on complex physical mo...

0 Zhihan Gao, et al. ∙

∙ 05/21/2023

Automated Few-shot Classification with Instruction-Finetuned Language Models

A particularly successful class of approaches for few-shot learning comb...

0 Rami Aly, et al. ∙

∙ 05/16/2023

Tailoring Instructions to Student's Learning Levels Boosts Knowledge Distillation

It has been commonly observed that a teacher model with superior perform...

2 Yuxin Ren, et al. ∙

∙ 05/10/2023

XTab: Cross-table Pretraining for Tabular Transformers

The success of self-supervised learning in computer vision and natural l...

0 Bingzhao Zhu, et al. ∙

∙ 02/16/2023

LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation

Layout-to-image generation refers to the task of synthesizing photo-real...

0 Jiaxin Cheng, et al. ∙

∙ 01/04/2023

Parameter-Efficient Fine-Tuning Design Spaces

Parameter-efficient fine-tuning aims to achieve performance comparable t...

1 Jiaao Chen, et al. ∙

∙ 12/29/2022

Learning Multimodal Data Augmentation in Feature Space

The ability to jointly learn from multiple modalities, such as text, aud...

14 Zichang Liu, et al. ∙

∙ 12/21/2022

SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning

Pre-trained large language models can efficiently interpolate human-writ...

7 M Saiful Bari, et al. ∙

∙ 12/15/2022

First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting

Transformer-based models have gained large popularity and demonstrated p...

0 Xiyuan Zhang, et al. ∙

∙ 12/15/2022

Are Multimodal Models Robust to Image and Text Perturbations?

Multimodal image-text models have shown remarkable performance in the pa...

10 Jielin Qiu, et al. ∙

∙ 11/04/2022

A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data

The substitute-based recommendation is widely used in E-commerce to prov...

0 Wenting Ye, et al. ∙

∙ 10/10/2022

Visual Prompt Tuning for Test-time Domain Adaptation

Models should have the ability to adapt to unseen data during test-time ...

8 Yunhe Gao, et al. ∙

∙ 07/12/2022

Earthformer: Exploring Space-Time Transformers for Earth System Forecasting

Conventionally, Earth system (e.g., weather and climate) forecasting rel...

31 Zhihan Gao, et al. ∙

∙ 07/04/2022

Removing Batch Normalization Boosts Adversarial Training

Adversarial training (AT) defends deep neural networks against adversari...

0 Haotao Wang, et al. ∙

∙ 04/13/2022

Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar

We introduce NSEdit (neural-symbolic edit), a novel Transformer-based co...

0 Yaojie Hu, et al. ∙

∙ 11/04/2021

Benchmarking Multimodal AutoML for Tabular Data with Text Fields

We consider the use of automated supervised learning systems for data ta...

0 Xingjian Shi, et al. ∙

∙ 09/23/2021

Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing

We aim to identify how different components in the KD pipeline affect th...

0 Haoyu He, et al. ∙

∙ 07/09/2019

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

We present GluonCV and GluonNLP, the deep learning toolkits for computer...

5 Jian Guo, et al. ∙

∙ 05/27/2019

STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems

We propose a new STAcked and Reconstructed Graph Convolutional Networks ...

12 Jiani Zhang, et al. ∙

∙ 08/21/2018

Machine Learning for Spatiotemporal Sequence Forecasting: A Survey

Spatiotemporal systems are common in the real-world. Forecasting the mul...

0 Xingjian Shi, et al. ∙

∙ 03/20/2018

GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

We propose a new network architecture, Gated Attention Networks (GaAN), ...

0 Jiani Zhang, et al. ∙

∙ 07/25/2017

Spatiotemporal Modeling for Crowd Counting in Videos

Region of Interest (ROI) crowd counting can be formulated as a regressio...

0 Feng Xiong, et al. ∙

∙ 06/12/2017

Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model

With the goal of making high-resolution forecasts of regional rainfall, ...

0 Xingjian Shi, et al. ∙

∙ 11/24/2016

Dynamic Key-Value Memory Networks for Knowledge Tracing

Knowledge Tracing (KT) is a task of tracing evolving knowledge state of ...

0 Jiani Zhang, et al. ∙

∙ 11/02/2016

Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks

Hybrid methods that utilize both content and rating information are comm...

0 Hao Wang, et al. ∙

∙ 11/02/2016

Natural-Parameter Networks: A Class of Probabilistic Neural Networks

Neural networks (NN) have achieved state-of-the-art performance in vario...

0 Hao Wang, et al. ∙

∙ 06/13/2015

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

The goal of precipitation nowcasting is to predict the future rainfall i...

0 Xingjian Shi, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world