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08/18/2023
3D Model-free Visual localization System from Essential Matrix under Local Planar Motion
Visual localization plays a critical role in the functionality of low-co...
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08/11/2023
A Large Language Model Enhanced Conversational Recommender System
Conversational recommender systems (CRSs) aim to recommend high-quality ...
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07/29/2023
Auditing Frameworks Need Resource Isolation: A Systematic Study on the Super Producer Threat to System Auditing and Its Mitigation
System auditing is a crucial technique for detecting APT attacks. Howeve...
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07/17/2023
Are we there yet? An Industrial Viewpoint on Provenance-based Endpoint Detection and Response Tools
Provenance-Based Endpoint Detection and Response (P-EDR) systems are dee...
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06/17/2023
PIMMiner: A High-performance PIM Architecture-aware Graph Mining Framework
Graph mining applications, such as subgraph pattern matching and mining,...
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06/06/2023
State Regularized Policy Optimization on Data with Dynamics Shift
In many real-world scenarios, Reinforcement Learning (RL) algorithms are...
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06/04/2023
Generative Flow Network for Listwise Recommendation
Personalized recommender systems fulfill the daily demands of customers ...
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05/25/2023
Grouping Method for mmWave Massive MIMO System: Exploitation of Angular Multiplexing Gain
A future millimeter-wave (mmWave) massive multiple-input and multiple-ou...
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05/25/2023
Joint Precoding Design and Resource Allocation for C-RAN Wireless Fronthaul Systems
This paper investigates the resource allocation problem combined with fr...
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05/17/2023
Improving Extrinsics between RADAR and LIDAR using Learning
LIDAR and RADAR are two commonly used sensors in autonomous driving syst...
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02/09/2023
An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint
Online platforms often incentivize consumers to improve user engagement ...
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02/07/2023
Multi-Task Recommendations with Reinforcement Learning
In recent years, Multi-task Learning (MTL) has yielded immense success i...
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02/07/2023
Disentangled Causal Embedding With Contrastive Learning For Recommender System
Recommender systems usually rely on observed user interaction data to bu...
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02/03/2023
Reinforcing User Retention in a Billion Scale Short Video Recommender System
Recently, short video platforms have achieved rapid user growth by recom...
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02/03/2023
Two-Stage Constrained Actor-Critic for Short Video Recommendation
The wide popularity of short videos on social media poses new opportunit...
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12/18/2022
Automated Optical Inspection of FAST's Reflector Surface using Drones and Computer Vision
The Five-hundred-meter Aperture Spherical radio Telescope (FAST) is the ...
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12/06/2022
PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement
Current advances in recommender systems have been remarkably successful ...
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09/28/2022
Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification
Labeling medical images depends on professional knowledge, making it dif...
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07/04/2022
The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems
Set covering problem is an important class of combinatorial optimization...
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06/24/2022
Contrastive Learning of Features between Images and LiDAR
Image and Point Clouds provide different information for robots. Finding...
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06/13/2022
Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation
Watch-time prediction remains to be a key factor in reinforcing user eng...
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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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06/01/2022
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor
Long-term engagement is preferred over immediate engagement in sequentia...
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05/29/2022
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models
Large scale pre-training models have been widely used in named entity re...
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05/26/2022
Constrained Reinforcement Learning for Short Video Recommendation
The wide popularity of short videos on social media poses new opportunit...
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05/20/2022
A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels
Here we present a structural similarity index measure (SSIM) guided cond...
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03/20/2022
Deep Learning based Intelligent Coin-tap Test for Defect Recognition
The coin-tap test is a convenient and primary method for non-destructive...
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02/22/2022
KuaiRec: A Fully-observed Dataset for Recommender Systems
Recommender systems are usually developed and evaluated on the historica...
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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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11/29/2021
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection
Pre-trained models have proved to be powerful in enhancing task-oriented...
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09/21/2021
SemCal: Semantic LiDAR-Camera Calibration using Neural MutualInformation Estimator
This paper proposes SemCal: an automatic, targetless, extrinsic calibrat...
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04/24/2021
Calibrating LiDAR and Camera using Semantic Mutual information
We propose an algorithm for automatic, targetless, extrinsic calibration...
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03/23/2021
OFFSEG: A Semantic Segmentation Framework For Off-Road Driving
Off-road image semantic segmentation is challenging due to the presence ...
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02/19/2021
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace
Scribble-supervised semantic segmentation has gained much attention rece...
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02/05/2021
Graph Attention Collaborative Similarity Embedding for Recommender System
We present Graph Attention Collaborative Similarity Embedding (GACSE), a...
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01/19/2021
Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks
Training Graph Convolutional Networks (GCNs) is expensive as it needs to...
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11/17/2020
RELLIS-3D Dataset: Data, Benchmarks and Analysis
Semantic scene understanding is crucial for robust and safe autonomous n...
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11/11/2020
Scribble-Supervised Semantic Segmentation by Random Walk on Neural Representation and Self-Supervision on Neural Eigenspace
Scribble-supervised semantic segmentation has gained much attention rece...
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10/23/2020
NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation
Learning informative representations (aka. embeddings) of users and item...
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07/13/2020
Adaptive Periodic Averaging: A Practical Approach to Reducing Communication in Distributed Learning
Stochastic Gradient Descent (SGD) is the key learning algorithm for many...
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06/29/2020
An enhanced finite difference time domain method for two dimensional Maxwell's equations
An efficient finite-difference time-domain (FDTD) algorithm is built to ...
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05/23/2020
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users
Static recommendation methods like collaborative filtering suffer from t...
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03/29/2020
Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network
This research proposes a Ground Penetrating Radar (GPR) data processing ...
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03/11/2020
Bi-Directional Attention for Joint Instance and Semantic Segmentation in Point Clouds
Instance segmentation in point clouds is one of the most fine-grained wa...
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03/02/2020
LiDARNet: A Boundary-Aware Domain Adaptation Model for Lidar Point Cloud Semantic Segmentation
We present a boundary-aware domain adaptation model for Lidar point clou...
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12/12/2019
GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining
A DNN architecture called GPRInvNet is proposed to tackle the challenge ...
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04/17/2019
Compositional Network Embedding
Network embedding has proved extremely useful in a variety of network an...
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04/15/2019
Personalized Context-aware Re-ranking for E-commerce Recommender Systems
Ranking is a core task in E-commerce recommender systems, which aims at ...
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04/14/2019
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Modeling users' dynamic and evolving preferences from their historical b...
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04/10/2019