b'Fei Wang'

research

∙ 06/19/2022

Geometric Matrix Completion via Sylvester Multi-Graph Neural Network

Despite the success of the Sylvester equation empowered methods on vario...

Boxin Du, et al. ∙

research

∙ 06/18/2022

Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting

Multivariate Time Series (MTS) forecasting plays a vital role in a wide ...

Zezhi Shao, et al. ∙

research

∙ 06/18/2022

Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting

We all depend on mobility, and vehicular transportation affects the dail...

Zezhi Shao, et al. ∙

research

∙ 06/18/2022

Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data

Statistical learning with a large number of rare binary features is comm...

Jianmin Chen, et al. ∙

research

∙ 06/11/2022

Local Randomized Neural Networks with Discontinuous Galerkin Methods for Partial Differential Equations

Randomized neural networks (RNN) are a variation of neural networks in w...

Jingbo Sun, et al. ∙

research

∙ 06/10/2022

Response to: Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry (2022)

Recently, Winter and Hahn [1] commented on our work on identifying subty...

Xizhe Zhang, et al. ∙

research

∙ 05/26/2022

Green Hierarchical Vision Transformer for Masked Image Modeling

We present an efficient approach for Masked Image Modeling (MIM) with hi...

Lang Huang, et al. ∙

research

∙ 05/25/2022

Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing

The entity typing task aims at predicting one or more words or phrases t...

Nan Xu, et al. ∙

research

∙ 05/21/2022

Knowledge Distillation from A Stronger Teacher

Unlike existing knowledge distillation methods focus on the baseline set...

Tao Huang, et al. ∙

research

∙ 05/12/2022

Mask Wearing Status Estimation with Smartwatches

We present MaskReminder, an automatic mask-wearing status estimation sys...

Huina Meng, et al. ∙

research

∙ 05/12/2022

Social Distancing Alert with Smartwatches

Social distancing is an efficient public health practice during the COVI...

Xin Wang, et al. ∙

research

∙ 05/08/2022

Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning

Controlled table-to-text generation seeks to generate natural language d...

Fei Wang, et al. ∙

research

∙ 04/15/2022

A Keypoint-based Global Association Network for Lane Detection

Lane detection is a challenging task that requires predicting complex to...

Jinsheng Wang, et al. ∙

research

∙ 04/10/2022

Multimodal Machine Learning in Precision Health

As machine learning and artificial intelligence are more frequently bein...

Adrienne Kline, et al. ∙

research

∙ 04/10/2022

A review of knowledge graph application scenarios in cyber security

Facing the dynamic complex cyber environments, internal and external cyb...

Kai Liu, et al. ∙

research

∙ 04/06/2022

BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analy...

Shuo Liang, et al. ∙

research

∙ 03/30/2022

TR-MOT: Multi-Object Tracking by Reference

Multi-object Tracking (MOT) generally can be split into two sub-tasks, i...

Mingfei Chen, et al. ∙

research

∙ 03/28/2022

Learning Where to Learn in Cross-View Self-Supervised Learning

Self-supervised learning (SSL) has made enormous progress and largely na...

Lang Huang, et al. ∙

research

∙ 03/27/2022

UV Volumes for Real-time Rendering of Editable Free-view Human Performance

Neural volume rendering has been proven to be a promising method for eff...

Yue Chen, et al. ∙

research

∙ 03/25/2022

Searching for Network Width with Bilaterally Coupled Network

Searching for a more compact network width recently serves as an effecti...

Xiu Su, et al. ∙

research

∙ 03/24/2022

DyRep: Bootstrapping Training with Dynamic Re-parameterization

Structural re-parameterization (Rep) methods achieve noticeable improvem...

Tao Huang, et al. ∙

research

∙ 03/22/2022

A new class of composite GBII regression models with varying threshold for modelling heavy-tailed data

The four-parameter generalized beta distribution of the second kind (GBI...

Zhengxiao Li, et al. ∙

research

∙ 03/16/2022

Relational Self-Supervised Learning

Self-supervised Learning (SSL) including the mainstream contrastive lear...

Mingkai Zheng, et al. ∙

research

∙ 03/14/2022

SimMatch: Semi-supervised Learning with Similarity Matching

Learning with few labeled data has been a longstanding problem in the co...

Mingkai Zheng, et al. ∙

research

∙ 03/08/2022

Where Does the Performance Improvement Come From? – A Reproducibility Concern about Image-Text Retrieval

This paper seeks to provide the information retrieval community with som...

Jun Rao, et al. ∙

research

∙ 02/28/2022

CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising

Low-dose computed tomography (LDCT) denoising is an important problem in...

Dayang Wang, et al. ∙

research

∙ 02/26/2022

Relational Surrogate Loss Learning

Evaluation metrics in machine learning are often hardly taken as loss fu...

Tao Huang, et al. ∙

research

∙ 01/31/2022

Deep Petrov-Galerkin Method for Solving Partial Differential Equations

Deep neural networks are powerful tools for approximating functions, and...

Yong Shang, et al. ∙

research

∙ 01/13/2022

Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection

Today's cyber-world is vastly multivariate. Metrics collected at extreme...

Lan Wang, et al. ∙

research

∙ 12/09/2021

You Can Wash Better: Daily Handwashing Assessment with Smartwatches

We propose UWash, an intelligent solution upon smartwatches, to assess h...

Fei Wang, et al. ∙

research

∙ 12/09/2021

Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring

The success of the state-of-the-art video deblurring methods stems mainl...

Chao Zhu, et al. ∙

research

∙ 12/06/2021

Incentive Compatible Pareto Alignment for Multi-Source Large Graphs

In this paper, we focus on learning effective entity matching models ove...

Jian Liang, et al. ∙

research

∙ 11/24/2021

GreedyNASv2: Greedier Search with a Greedy Path Filter

Training a good supernet in one-shot NAS methods is difficult since the ...

Tao Huang, et al. ∙

research

∙ 10/25/2021

Persona Authentication through Generative Dialogue

In this paper we define and investigate the problem of persona authentic...

Fengyi Tang, et al. ∙

research

∙ 10/12/2021

Expressivity and Trainability of Quadratic Networks

Inspired by diversity of biological neurons, quadratic artificial neuron...

Feng-Lei Fan, et al. ∙

research

∙ 10/11/2021

SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records

Contrastive learning has demonstrated promising performance in image and...

Chengxi Zang, et al. ∙

research

∙ 10/10/2021

Weakly Supervised Contrastive Learning

Unsupervised visual representation learning has gained much attention fr...

Mingkai Zheng, et al. ∙

research

∙ 09/13/2021

Correcting the User Feedback-Loop Bias for Recommendation Systems

Selection bias is prevalent in the data for training and evaluating reco...

Weishen Pan, et al. ∙

research

∙ 09/09/2021

Table-based Fact Verification with Salience-aware Learning

Tables provide valuable knowledge that can be used to verify textual sta...

Fei Wang, et al. ∙

research

∙ 08/31/2021

Heterogeneous Graph Neural Network with Multi-view Representation Learning

Graph neural networks for heterogeneous graph embedding is to project no...

Zezhi Shao, et al. ∙

research

∙ 08/19/2021

Fair and Consistent Federated Learning

Federated learning (FL) has gain growing interests for its capability of...

Sen Cui, et al. ∙

research

∙ 08/18/2021

Learning to Collaborate

In this paper, we focus on effective learning over a collaborative resea...

Sen Cui, et al. ∙

research

∙ 08/15/2021

Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection

Modeling inter-dependencies between time-series is the key to achieve hi...

Yuhang Wu, et al. ∙

research

∙ 07/20/2021

ReSSL: Relational Self-Supervised Learning with Weak Augmentation

Self-supervised Learning (SSL) including the mainstream contrastive lear...

Mingkai Zheng, et al. ∙

research

∙ 06/25/2021

Vision Transformer Architecture Search

Recently, transformers have shown great superiority in solving computer ...

Xiu Su, et al. ∙

research

∙ 06/15/2021

S-LIME: Stabilized-LIME for Model Explanation

An increasing number of machine learning models have been deployed in do...

Zhengze Zhou, et al. ∙

research

∙ 06/11/2021

K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets

In one-shot weight sharing for NAS, the weights of each operation (at ea...

Xiu Su, et al. ∙

research

∙ 05/21/2021

BCNet: Searching for Network Width with Bilaterally Coupled Network

Searching for a more compact network width recently serves as an effecti...

Xiu Su, et al. ∙

research

∙ 05/14/2021

Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation

Language-queried video actor segmentation aims to predict the pixel-leve...

Tianrui Hui, et al. ∙

research

∙ 05/04/2021

Retrieving Complex Tables with Multi-Granular Graph Representation Learning

The task of natural language table retrieval (NLTR) seeks to retrieve se...

Fei Wang, et al. ∙

Fei Wang

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