b'Cheng Wang'

research

∙ 09/01/2023

Cross-temporal Detection of Novel Ransomware Campaigns: A Multi-Modal Alert Approach

We present a novel approach to identify ransomware campaigns derived fro...

0 Sathvik Murli, et al. ∙

research

∙ 08/31/2023

Decoupled Local Aggregation for Point Cloud Learning

The unstructured nature of point clouds demands that local aggregation b...

0 Binjie Chen, et al. ∙

research

∙ 08/14/2023

Teeth And Root Canals Segmentation Using ZXYFormer With Uncertainty Guidance And Weight Transfer

This study attempts to segment teeth and root-canals simultaneously from...

0 Shangxuan Li, et al. ∙

research

∙ 08/07/2023

A Hybrid CNN-Transformer Architecture with Frequency Domain Contrastive Learning for Image Deraining

Image deraining is a challenging task that involves restoring degraded i...

0 Cheng Wang, et al. ∙

research

∙ 08/03/2023

Evaluation of STT-MRAM as a Scratchpad for Training in ML Accelerators

Progress in artificial intelligence and machine learning over the past d...

0 Sourjya Roy, et al. ∙

research

∙ 08/02/2023

Calibration in Deep Learning: A Survey of the State-of-the-Art

Calibrating deep neural models plays an important role in building relia...

0 Cheng Wang, et al. ∙

research

∙ 06/21/2023

FLGo: A Fully Customizable Federated Learning Platform

Federated learning (FL) has found numerous applications in healthcare, f...

0 Zheng Wang, et al. ∙

research

∙ 06/21/2023

Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRI

Magnetic resonance imaging (MRI) using hyperpolarized noble gases provid...

0 Zimeng Li, et al. ∙

research

∙ 06/08/2023

SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-Depth

Exploring robust and efficient association methods has always been an im...

0 Zelin Liu, et al. ∙

research

∙ 06/01/2023

HiQR: An efficient algorithm for high dimensional quadratic regression with penalties

This paper investigates the efficient solution of penalized quadratic re...

0 Cheng Wang, et al. ∙

research

∙ 04/26/2023

Optimizing Energy Efficiency in Metro Systems Under Uncertainty Disturbances Using Reinforcement Learning

In the realm of urban transportation, metro systems serve as crucial and...

0 Haiqin Xie, et al. ∙

research

∙ 04/09/2023

DSMNet: Deep High-precision 3D Surface Modeling from Sparse Point Cloud Frames

Existing point cloud modeling datasets primarily express the modeling pr...

0 Changjie Qiu, et al. ∙

research

∙ 03/31/2023

CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactions

Motion capture is a long-standing research problem. Although it has been...

0 Ming Yan, et al. ∙

research

∙ 03/28/2023

OpenInst: A Simple Query-Based Method for Open-World Instance Segmentation

Open-world instance segmentation has recently gained significant popular...

0 Cheng Wang, et al. ∙

research

∙ 03/27/2023

Meta-Calibration Regularized Neural Networks

Miscalibration-the mismatch between predicted probability and the true c...

0 Cheng Wang, et al. ∙

research

∙ 03/26/2023

The Application of Driver Models in the Safety Assessment of Autonomous Vehicles: A Survey

Driver models play a vital role in developing and verifying autonomous v...

0 Cheng Wang, et al. ∙

research

∙ 03/21/2023

Convergence analysis of a positivity-preserving numerical scheme for the Cahn-Hilliard-Stokes system with Flory-Huggins energy potential

A finite difference numerical scheme is proposed and analyzed for the Ca...

0 Yunzhuo Guo, et al. ∙

research

∙ 03/16/2023

SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments

We present SLOPER4D, a novel scene-aware dataset collected in large urba...

6 Yudi Dai, et al. ∙

research

∙ 03/13/2023

Ins-ATP: Deep Estimation of ATP for Organoid Based on High Throughput Microscopic Images

Adenosine triphosphate (ATP) is a high-energy phosphate compound and the...

0 Xuesheng Bian, et al. ∙

research

∙ 03/12/2023

Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network

Although 3D point cloud classification neural network models have been w...

0 Weiquan Liu, et al. ∙

research

∙ 03/12/2023

Adaptive Local Adversarial Attacks on 3D Point Clouds for Augmented Reality

As the key technology of augmented reality (AR), 3D recognition and trac...

0 Weiquan Liu, et al. ∙

research

∙ 03/04/2023

Virtual Sparse Convolution for Multimodal 3D Object Detection

Recently, virtual/pseudo-point-based 3D object detection that seamlessly...

0 Hai Wu, et al. ∙

research

∙ 02/21/2023

Causal Social Explanations for Stochastic Sequential Multi-Agent Decision-Making

We present a novel framework to generate causal explanations for the dec...

0 Balint Gyevnar, et al. ∙

research

∙ 02/06/2023

INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging

Spatio-temporal kriging is an important problem in web and social applic...

0 Chuanpan Zheng, et al. ∙

research

∙ 12/10/2022

State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions

Recurrent neural networks are a widely used class of neural architecture...

0 Cheng Wang, et al. ∙

research

∙ 11/25/2022

Federated Graph-based Sampling with Arbitrary Client Availability

While federated learning has shown strong results in optimizing a machin...

0 Zheng Wang, et al. ∙

research

∙ 11/22/2022

Transformation-Equivariant 3D Object Detection for Autonomous Driving

3D object detection received increasing attention in autonomous driving ...

0 Hai Wu, et al. ∙

research

∙ 11/17/2022

Statistical Inference for Coadded Astronomical Images

Coadded astronomical images are created by stacking multiple single-expo...

0 Mallory Wang, et al. ∙

research

∙ 11/06/2022

Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain

Reinforcement learning (RL) operating on attack graphs leveraging cyber ...

0 Lanxiao Huang, et al. ∙

research

∙ 10/25/2022

Deploying a Retrieval based Response Model for Task Oriented Dialogues

Task-oriented dialogue systems in industry settings need to have high co...

0 Lahari Poddar, et al. ∙

research

∙ 10/13/2022

HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces

We propose a novel normal estimation method called HSurf-Net, which can ...

0 Qing Li, et al. ∙

research

∙ 10/08/2022

KG-MTT-BERT: Knowledge Graph Enhanced BERT for Multi-Type Medical Text Classification

Medical text learning has recently emerged as a promising area to improv...

0 Yong He, et al. ∙

research

∙ 09/08/2022

Double stabilizations and convergence analysis of a second-order linear numerical scheme for the nonlocal Cahn-Hilliard equation

In this paper, we study a second-order accurate and linear numerical sch...

0 Xiao Li, et al. ∙

research

∙ 09/07/2022

Convergence analysis of an implicit finite difference method for the inertial Landau-Lifshitz-Gilbert equation

The Landau-Lifshitz-Gilbert (LLG) equation is a widely used model for fa...

0 Jingrun Chen, et al. ∙

research

∙ 08/12/2022

A second order accurate numerical method for the Poisson-Nernst-Planck system in the energetic variational formulation

A second order accurate (in time) numerical scheme is proposed and analy...

0 Chun Liu, et al. ∙

research

∙ 08/02/2022

Deep Reinforcement Learning for Multi-Agent Interaction

The development of autonomous agents which can interact with other agent...

10 Ibrahim H. Ahmed, et al. ∙

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...

0 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...

0 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...

0 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 ...

26 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...

16 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...

0 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...

0 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...

0 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...

42 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...

2 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...

9 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 ...

19 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'...

0 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...

2 Binyan Jiang, et al. ∙

Cheng Wang

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