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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...
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08/31/2023
Decoupled Local Aggregation for Point Cloud Learning
The unstructured nature of point clouds demands that local aggregation b...
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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...
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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...
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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...
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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...
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06/21/2023
FLGo: A Fully Customizable Federated Learning Platform
Federated learning (FL) has found numerous applications in healthcare, f...
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06/21/2023
Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRI
Magnetic resonance imaging (MRI) using hyperpolarized noble gases provid...
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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...
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06/01/2023
HiQR: An efficient algorithm for high dimensional quadratic regression with penalties
This paper investigates the efficient solution of penalized quadratic re...
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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...
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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...
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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...
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03/28/2023
OpenInst: A Simple Query-Based Method for Open-World Instance Segmentation
Open-world instance segmentation has recently gained significant popular...
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03/27/2023
Meta-Calibration Regularized Neural Networks
Miscalibration-the mismatch between predicted probability and the true c...
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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...
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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...
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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...
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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...
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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...
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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...
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03/04/2023
Virtual Sparse Convolution for Multimodal 3D Object Detection
Recently, virtual/pseudo-point-based 3D object detection that seamlessly...
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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...
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02/06/2023
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging
Spatio-temporal kriging is an important problem in web and social applic...
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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...
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11/25/2022
Federated Graph-based Sampling with Arbitrary Client Availability
While federated learning has shown strong results in optimizing a machin...
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11/22/2022
Transformation-Equivariant 3D Object Detection for Autonomous Driving
3D object detection received increasing attention in autonomous driving ...
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11/17/2022
Statistical Inference for Coadded Astronomical Images
Coadded astronomical images are created by stacking multiple single-expo...
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11/06/2022
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain
Reinforcement learning (RL) operating on attack graphs leveraging cyber ...
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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...
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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 ...
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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...
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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...
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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...
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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...
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08/02/2022
Deep Reinforcement Learning for Multi-Agent Interaction
The development of autonomous agents which can interact with other agent...
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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...
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06/10/2022
Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation
Relevant recommendation is a special recommendation scenario which provi...
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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...
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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 ...
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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...
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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...
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03/08/2022
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks
Massive open online courses (MOOCs), which provide a large-scale interac...
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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...
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01/24/2022
Multi-Graph Fusion Networks for Urban Region Embedding
Learning the embeddings for urban regions from human mobility data can r...
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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...
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01/04/2022
C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System
Conversational recommender systems (CRS) aim to recommend suitable items...
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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 ...
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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'...
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12/14/2021