b'Cheng Wang'

research

∙ 06/17/2022

A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning

Inscrutable AI systems are difficult to trust, especially if they operat...

Balint Gyevnar, et al. ∙

research

∙ 06/10/2022

Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation

Relevant recommendation is a special recommendation scenario which provi...

Zihan Lin, et al. ∙

research

∙ 06/03/2022

A Co-design view of Compute in-Memory with Non-Volatile Elements for Neural Networks

Deep Learning neural networks are pervasive, but traditional computer ar...

Wilfried Haensch, et al. ∙

research

∙ 03/28/2022

LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds

Existing motion capture datasets are largely short-range and cannot yet ...

Jialian Li, et al. ∙

research

∙ 03/17/2022

HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR

We propose Human-centered 4D Scene Capture (HSC4D) to accurately and eff...

Yudi Dai, et al. ∙

research

∙ 03/15/2022

Optimal error estimates of a Crank–Nicolson finite element projection method for magnetohydrodynamic equations

In this paper, we propose and analyze a fully discrete finite element pr...

Cheng Wang, et al. ∙

research

∙ 03/08/2022

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks

Massive open online courses (MOOCs), which provide a large-scale interac...

Jibing Gong, et al. ∙

research

∙ 02/22/2022

Convergence Analysis of Structure-Preserving Numerical Methods Based on Slotboom Transformation for the Poisson–Nernst–Planck Equations

The analysis of structure-preserving numerical methods for the Poisson–N...

Jie Ding, et al. ∙

research

∙ 01/24/2022

Multi-Graph Fusion Networks for Urban Region Embedding

Learning the embeddings for urban regions from human mobility data can r...

Shangbin Wu, et al. ∙

research

∙ 01/10/2022

GBRS: An Unified Model of Pawlak Rough Set and Neighborhood Rough Set

Pawlak rough set and neighborhood rough set are the two most common roug...

Shuyin Xia, et al. ∙

research

∙ 01/04/2022

C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System

Conversational recommender systems (CRS) aim to recommend suitable items...

Yuanhang Zhou, et al. ∙

research

∙ 12/27/2021

Transformer Uncertainty Estimation with Hierarchical Stochastic Attention

Transformers are state-of-the-art in a wide range of NLP tasks and have ...

Jiahuan Pei, et al. ∙

research

∙ 12/23/2021

Limiting spectral distribution of large dimensional Spearman's rank correlation matrices

In this paper, we study the empirical spectral distribution of Spearman'...

Zeyu Wu, et al. ∙

research

∙ 12/14/2021

Linear Discriminant Analysis with High-dimensional Mixed Variables

Datasets containing both categorical and continuous variables are freque...

Binyan Jiang, et al. ∙

research

∙ 11/25/2021

Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting

Recent studies focus on formulating the traffic forecasting as a spatio-...

Chuanpan Zheng, et al. ∙

research

∙ 11/15/2021

Convergence Analysis of A Second-order Accurate, Linear Numerical Scheme for The Landau-Lifshitz Equation with Large Damping Parameters

A second order accurate, linear numerical method is analyzed for the Lan...

Yongyong Cai, et al. ∙

research

∙ 10/11/2021

Spatial-temporal V-Net for automatic segmentation and quantification of right ventricles in gated myocardial perfusion SPECT images

Background. Functional assessment of right ventricles (RV) using gated m...

Chen Zhao, et al. ∙

research

∙ 09/28/2021

On eigenvalues of a high dimensional Kendall's rank correlation matrix with dependences

This paper investigates limiting spectral distribution of a high-dimensi...

Zeng Li, et al. ∙

research

∙ 09/20/2021

HiTMap: A Hierarchical Topological Map Representation for Navigation in Unknown Environments

The ability to autonomously navigate in unknown environments is importan...

Xuecheng Xu, et al. ∙

research

∙ 09/14/2021

Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing

Tremendous progress has been made in sequential processing with the rece...

Bing Han, et al. ∙

research

∙ 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...

Chun Liu, et al. ∙

research

∙ 08/31/2021

Detecting Mitosis against Domain Shift using a Fused Detector and Deep Ensemble Classification Model for MIDOG Challenge

Mitotic figure count is an important marker of tumor proliferation and h...

Jingtang Liang, et al. ∙

research

∙ 07/07/2021

High dimensional precision matrix estimation under weak sparsity

In this paper, we estimate the high dimensional precision matrix under t...

Zeyu Wu, et al. ∙

research

∙ 06/30/2021

Monocular 3D Object Detection: An Extrinsic Parameter Free Approach

Monocular 3D object detection is an important task in autonomous driving...

Yunsong Zhou, et al. ∙

research

∙ 06/06/2021

Error estimate of a decoupled numerical scheme for the Cahn-Hilliard-Stokes-Darcy system

We analyze a fully discrete finite element numerical scheme for the Cahn...

Wenbin Chen, et al. ∙

research

∙ 06/04/2021

Learning Slice-Aware Representations with Mixture of Attentions

Real-world machine learning systems are achieving remarkable performance...

Cheng Wang, et al. ∙

research

∙ 06/01/2021

DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds

Semantic segmentation of building facade is significant in various appli...

Yanfei Su, et al. ∙

research

∙ 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...

Chun Liu, et al. ∙

research

∙ 04/30/2021

Federated Learning with Fair Averaging

Fairness has emerged as a critical problem in federated learning (FL). I...

Zheng Wang, et al. ∙

research

∙ 04/29/2021

A positivity-preserving, energy stable scheme for a Ternary Cahn-Hilliard system with the singular interfacial parameters

In this paper, we construct and analyze a uniquely solvable, positivity ...

Lixiu Dong, et al. ∙

research

∙ 04/26/2021

Handling Long-Tail Queries with Slice-Aware Conversational Systems

We have been witnessing the usefulness of conversational AI systems such...

Cheng Wang, et al. ∙

research

∙ 04/19/2021

An energy stable finite element scheme for the three-component Cahn-Hilliard-type model for macromolecular microsphere composite hydrogels

In this article, we present and analyze a finite element numerical schem...

Maoqin Yuan, et al. ∙

research

∙ 04/02/2021

A Detector-oblivious Multi-arm Network for Keypoint Matching

This paper presents a matching network to establish point correspondence...

Xuelun Shen, et al. ∙

research

∙ 03/09/2021

FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery

With the rapid development of deep learning, many deep learning based ap...

Xian Sun, et al. ∙

research

∙ 02/16/2021

A positivity-preserving and convergent numerical scheme for the binary fluid-surfactant system

In this paper, we develop a first order (in time) numerical scheme for t...

Yuzhe Qin, et al. ∙

research

∙ 12/30/2020

A second order accurate scalar auxiliary variable (SAV) numerical method for the square phase field crystal equation

In this paper we propose and analyze a second order accurate (in time) n...

Min Wang, et al. ∙

research

∙ 12/22/2020

Structure-preserving, energy stable numerical schemes for a liquid thin film coarsening model

In this paper, two finite difference numerical schemes are proposed and ...

Juan Zhang, et al. ∙

research

∙ 11/30/2020

A decoupled scheme with second-order temporal accuracy for magnetohydrodynamic equations

In this paper, we propose and analyze a temporally second-order accurate...

Cheng Wang, et al. ∙

research

∙ 11/24/2020

Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs

Uncertainty quantification is crucial for building reliable and trustabl...

Cheng Wang, et al. ∙

research

∙ 10/31/2020

A third order BDF energy stable linear scheme for the no-slope-selection thin film model

In this paper we propose and analyze a (temporally) third order accurate...

Yonghong Hao, et al. ∙

research

∙ 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...

Chun Liu, et al. ∙

research

∙ 09/17/2020

A positivity-preserving, energy stable and convergent numerical scheme for the Poisson-Nernst-Planck system

In this paper we propose and analyze a finite difference numerical schem...

Chun Liu, et al. ∙

research

∙ 08/08/2020

VPC-Net: Completion of 3D Vehicles from MLS Point Clouds

Vehicles are the most concerned investigation target as a dynamic and es...

Yan Xia, et al. ∙

research

∙ 06/22/2020

A second order accurate numerical scheme for the porous medium equation by an energetic variational approach

The porous medium equation (PME) is a typical nonlinear degenerate parab...

Chenghua Duan, et al. ∙

research

∙ 05/09/2020

iTV: Inferring Traffic Violation-Prone Locations with Vehicle Trajectory and Road Environment Data

Traffic violations like illegal parking, illegal turning, and speeding h...

Zhihan Jiang, et al. ∙

research

∙ 04/11/2020

DNN-aided Read-voltage Threshold Optimization for MLC Flash Memory with Finite Block Length

The error correcting performance of multi-level-cell (MLC) NAND flash me...

Cheng Wang, et al. ∙

research

∙ 04/03/2020

A positivity-preserving second-order BDF scheme for the Cahn-Hilliard equation with variable interfacial parameters

We present and analyze a new second-order finite difference scheme for t...

Lixiu Dong, et al. ∙

research

∙ 02/22/2020

A Positive and Energy Stable Numerical Scheme for the Poisson-Nernst-Planck-Cahn-Hilliard Equations with Steric Interactions

We consider numerical methods for the Poisson-Nernst-Planck-Cahn-Hilliar...

Yiran Qian, et al. ∙

research

∙ 01/17/2020

Review: deep learning on 3D point clouds

Point cloud is point sets defined in 3D metric space. Point cloud has be...

Saifullahi Aminu Bello, et al. ∙

research

∙ 12/23/2019

Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling

Fully exploring correlation among points in point clouds is essential fo...

Wenkai Han, et al. ∙

Cheng Wang

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