Jiawei Jiang | DeepAI

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382 publications
Chao Li
169 publications
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135 publications
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133 publications
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Bo Du
94 publications
Jieping Ye
93 publications
Wayne Xin Zhao
87 publications
Yue Liu
77 publications
Yang Li
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Jin Li
52 publications

∙ 08/31/2023

BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks

To handle graphs in which features or connectivities are evolving over t...

0 Qiang Huang, et al. ∙

∙ 08/24/2023

Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis Benchmark]

The field of urban spatial-temporal prediction is advancing rapidly with...

0 Jiawei Jiang, et al. ∙

∙ 04/27/2023

Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction: A Unified Library and Performance Benchmark

As deep learning technology advances and more urban spatial-temporal dat...

0 Jingyuan Wang, et al. ∙

∙ 04/17/2023

Two-stage MR Image Segmentation Method for Brain Tumors based on Attention Mechanism

Multimodal magnetic resonance imaging (MRI) can reveal different pattern...

0 Li Zhu, et al. ∙

∙ 04/06/2023

GA-HQS: MRI reconstruction via a generically accelerated unfolding approach

Deep unfolding networks (DUNs) are the foremost methods in the realm of ...

0 Jiawei Jiang, et al. ∙

∙ 02/22/2023

BUAA_BIGSCity: Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022

In this technical report, we present our solution for the Baidu KDD Cup ...

0 Jiawei Jiang, et al. ∙

∙ 01/19/2023

PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction

As a core technology of Intelligent Transportation System, traffic flow ...

0 Jiawei Jiang, et al. ∙

∙ 01/16/2023

Continuous Trajectory Generation Based on Two-Stage GAN

Simulating the human mobility and generating large-scale trajectories ar...

0 Wenjun Jiang, et al. ∙

∙ 11/17/2022

Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics

Trajectory Representation Learning (TRL) is a powerful tool for spatial-...

0 Jiawei Jiang, et al. ∙

∙ 09/01/2022

STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction

High-performance traffic flow prediction model designing, a core technol...

0 Jiahao Ji, et al. ∙

∙ 07/29/2022

Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates

Vertical federated learning (VFL) is an emerging paradigm that allows di...

0 Fangcheng Fu, et al. ∙

∙ 06/12/2022

Stochastic Gradient Descent without Full Data Shuffle

Stochastic gradient descent (SGD) is the cornerstone of modern machine l...

39 Lijie Xu, et al. ∙

∙ 05/25/2022

BRIGHT – Graph Neural Networks in Real-Time Fraud Detection

Detecting fraudulent transactions is an essential component to control r...

0 Mingxuan Lu, et al. ∙

∙ 12/26/2021

Efficient Diversity-Driven Ensemble for Deep Neural Networks

The ensemble of deep neural networks has been shown, both theoretically ...

16 Wentao Zhang, et al. ∙

∙ 05/17/2021

Towards Demystifying Serverless Machine Learning Training

The appeal of serverless (FaaS) has triggered a growing interest on how ...

17 Jiawei Jiang, et al. ∙

∙ 07/03/2019

An Experimental Evaluation of Large Scale GBDT Systems

Gradient boosting decision tree (GBDT) is a widely-used machine learning...

0 Fangcheng Fu, et al. ∙

∙ 11/06/2018

Fast Hyperparameter Optimization of Deep Neural Networks via Ensembling Multiple Surrogates

The performance of deep neural networks crucially depends on good hyperp...

0 Yang Li, et al. ∙

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