Yiwei Wang | DeepAI

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Wei Wang
492 publications
Fei Wang
209 publications
Long Chen
127 publications
Cheng Wang
115 publications
Yi Ren
101 publications
Chao Huang
95 publications
Jun Xu
91 publications
Yu Zheng
82 publications
Muhao Chen
82 publications
Yezhou Yang
73 publications
Xu Liu
70 publications

∙ 09/18/2023

On a Continuum Model for Random Genetic Drift: A Dynamical Boundary Condition Approach

We propose a new continuum model for a random genetic drift problem by e...

0 Chun Liu, et al. ∙

∙ 06/14/2023

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting

Traffic forecasting plays a critical role in smart city initiatives and ...

0 Xu Liu, et al. ∙

∙ 05/24/2023

A Causal View of Entity Bias in (Large) Language Models

Entity bias widely affects pretrained (large) language models, causing t...

0 Fei Wang, et al. ∙

∙ 05/22/2023

EntRED: Benchmarking Relation Extraction with Fewer Shortcuts

Entity names play an effective role in relation extraction (RE) and ofte...

0 Yiwei Wang, et al. ∙

∙ 05/05/2023

RECIPE: Rateless Erasure Codes Induced by Protocol-Based Encoding

LT (Luby transform) codes are a celebrated family of rateless erasure co...

0 Jingfan Meng, et al. ∙

∙ 11/29/2022

AirFormer: Predicting Nationwide Air Quality in China with Transformers

Air pollution is a crucial issue affecting human health and livelihoods,...

0 Yuxuan Liang, et al. ∙

∙ 09/17/2022

Flashlight: Scalable Link Prediction with Effective Decoders

Link prediction (LP) has been recognized as an important task in graph l...

0 Yiwei Wang, et al. ∙

∙ 06/15/2022

Energetic Variational Neural Network Discretizations to Gradient Flows

We propose structure-preserving neural-network-based numerical schemes t...

0 Ziqing Hu, et al. ∙

∙ 05/08/2022

GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction

Entity types and textual context are essential properties for sentence-l...

0 Yiwei Wang, et al. ∙

∙ 05/08/2022

Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis

Recent literature focuses on utilizing the entity information in the sen...

0 Yiwei Wang, et al. ∙

∙ 05/05/2022

Dangling-Aware Entity Alignment with Mixed High-Order Proximities

We study dangling-aware entity alignment in knowledge graphs (KGs), whic...

0 Juncheng Liu, et al. ∙

∙ 04/19/2022

Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs

Learning neural ODEs often requires solving very stiff ODE systems, prim...

3 Justin Baker, et al. ∙

∙ 02/22/2022

EIGNN: Efficient Infinite-Depth Graph Neural Networks

Graph neural networks (GNNs) are widely used for modelling graph-structu...

0 Juncheng Liu, et al. ∙

∙ 12/21/2021

On a deterministic particle-FEM discretization to micro-macro models of dilute polymeric fluids

In this paper, we propose a deterministic particle-FEM discretization to...

0 Xuelian Bao, et al. ∙

∙ 12/18/2021

Time-Aware Neighbor Sampling for Temporal Graph Networks

We present a new neighbor sampling method on temporal graphs. In a tempo...

0 Yiwei Wang, et al. ∙

∙ 12/01/2021

Structure-Aware Label Smoothing for Graph Neural Networks

Representing a label distribution as a one-hot vector is a common practi...

0 Yiwei Wang, et al. ∙

∙ 11/21/2021

Low-Discrepancy Points via Energetic Variational Inference

In this paper, we propose a deterministic variational inference approach...

0 Yindong Chen, et al. ∙

∙ 09/07/2021

A second-order accurate, operator splitting scheme for reaction-diffusion systems in an energetic variational formulation

A second-order accurate in time, positivity-preserving, and unconditiona...

0 Chun Liu, et al. ∙

∙ 05/19/2021

Convergence analysis of the variational operator splitting scheme for a reaction-diffusion system with detailed balance

We present a detailed convergence analysis for an operator splitting sch...

0 Chun Liu, et al. ∙

∙ 01/25/2021

A two species micro-macro model of wormlike micellar solutions and its maximum entropy closure approximations: An energetic variational approach

Wormlike micelles are self-assemblies of polymer chains that can break a...

0 Yiwei Wang, et al. ∙

∙ 12/13/2020

Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes

Node classification on graph data is an important task on many practical...

0 Juncheng Liu, et al. ∙

∙ 10/30/2020

A Structure-preserving, Operator Splitting Scheme for Reaction-Diffusion Equations Involving the Law of Mass Action

In this paper, we propose and analyze a positivity-preserving, energy st...

0 Chun Liu, et al. ∙

∙ 09/22/2020

GraphCrop: Subgraph Cropping for Graph Classification

We present a new method to regularize graph neural networks (GNNs) for b...

21 Yiwei Wang, et al. ∙

∙ 04/14/2020

Particle-based Energetic Variational Inference

We introduce a new variational inference framework, called energetic var...

0 Yiwei Wang, et al. ∙

∙ 03/23/2020

A Variational Lagrangian Scheme for a Phase Field Model: A Discrete Energetic Variational Approach

In this paper, we propose a variational Lagrangian scheme for a modified...

0 Chun Liu, et al. ∙

∙ 01/28/2019

How Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving

While intelligence of autonomous vehicles (AVs) has significantly advanc...

0 Yi Ren, et al. ∙

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