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09/18/2023
LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models
Automated occupation extraction and standardization from free-text job p...
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09/12/2023
Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation
Medical image segmentation is critical for diagnosing and treating spina...
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09/03/2023
MQENet: A Mesh Quality Evaluation Neural Network Based on Dynamic Graph Attention
With the development of computational fluid dynamics, the requirements f...
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05/29/2023
speech and noise dual-stream spectrogram refine network with speech distortion loss for robust speech recognition
In recent years, the joint training of speech enhancement front-end and ...
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05/22/2023
Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition
This paper studies the computational offloading of video action recognit...
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05/18/2023
Two-step Newton's method for deflation-one singular zeros of analytic systems
We propose a two-step Newton's method for refining an approximation of a...
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04/17/2023
SkillGPT: a RESTful API service for skill extraction and standardization using a Large Language Model
We present SkillGPT, a tool for skill extraction and standardization (SE...
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12/23/2022
Learning to Detect and Segment for Open Vocabulary Object Detection
Open vocabulary object detection has been greatly advanced by the recent...
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11/24/2022
Semantic Communication Enabling Robust Edge Intelligence for Time-Critical IoT Applications
This paper aims to design robust Edge Intelligence using semantic commun...
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11/24/2022
Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing
For time-critical IoT applications using deep learning, inference accele...
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11/24/2022
Attention-based Feature Compression for CNN Inference Offloading in Edge Computing
This paper studies the computational offloading of CNN inference in devi...
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11/22/2022
Safe Control and Learning Using Generalized Action Governor
This paper introduces the Generalized Action Governor, which is a superv...
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11/11/2022
Detection of Strongly Lensed Arcs in Galaxy Clusters with Transformers
Strong lensing in galaxy clusters probes properties of dense cores of da...
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10/24/2022
Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing
This paper studies the computational offloading of CNN inference in dyna...
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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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09/12/2022
A challenge-based survey of e-recruitment recommendation systems
E-recruitment recommendation systems recommend jobs to job seekers and j...
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08/23/2022
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues
Over recent years, there has been a rapid development of deep learning (...
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07/22/2022
Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing
This paper studies inference acceleration using distributed convolutiona...
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07/22/2022
Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing
This paper studies inference acceleration using distributed convolutiona...
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07/17/2022
Robust Action Governor for Uncertain Piecewise Affine Systems with Non-convex Constraints and Safe Reinforcement Learning
The action governor is an add-on scheme to a nominal control loop that m...
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05/19/2022
Identifying outliers in astronomical images with unsupervised machine learning
Astronomical outliers, such as unusual, rare or unknown types of astrono...
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05/03/2022
Restarted randomized surrounding methods for solving large linear equations
A class of restarted randomized surrounding methods are presented to acc...
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04/13/2022
Illumination-Invariant Active Camera Relocalization for Fine-Grained Change Detection in the Wild
Active camera relocalization (ACR) is a new problem in computer vision t...
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02/13/2022
Natural Image Stitching Using Depth Maps
Natural image stitching (NIS) aims to create one natural-looking mosaic ...
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12/14/2021
Interaction-Aware Trajectory Prediction and Planning for Autonomous Vehicles in Forced Merge Scenarios
Merging is, in general, a challenging task for both human drivers and au...
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11/27/2021
Energy-Efficient Autonomous Driving Using Cognitive Driver Behavioral Models and Reinforcement Learning
Autonomous driving technologies are expected to not only improve mobilit...
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09/14/2021
How to Simplify Search: Classification-wise Pareto Evolution for One-shot Neural Architecture Search
In the deployment of deep neural models, how to effectively and automati...
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04/20/2021
Rapid feasibility assessment of components formed through hot stamping: A deep learning approach
The novel non-isothermal Hot Forming and cold die Quenching (HFQ) proces...
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02/21/2021
Safe Reinforcement Learning Using Robust Action Governor
Reinforcement Learning (RL) is essentially a trial-and-error learning pr...
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01/22/2021
Safe Learning Reference Governor for Constrained Systems with Application to Fuel Truck Rollover Avoidance
This paper proposes a learning reference governor (LRG) approach to enfo...
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11/03/2020
Predicting Terrain Mechanical Properties in Sight for Planetary Rovers with Semantic Clues
Non-geometric mobility hazards such as rover slippage and sinkage posing...
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09/30/2020
A study on using image based machine learning methods to develop the surrogate models of stamp forming simulations
In the design optimization of metal forming, it is increasingly signific...
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09/04/2020
Domain Priori Knowledge based Integrated Solution Design for Internet of Services
Various types of services, such as web APIs, IoT services, O2O services,...
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06/02/2020
Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective
To maximize cumulative user engagement (e.g. cumulative clicks) in seque...
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05/11/2020
A Game Theoretic Approach for Parking Spot Search with Limited Parking Lot Information
We propose a game theoretic approach to address the problem of searching...
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04/05/2020
ReADS: A Rectified Attentional Double Supervised Network for Scene Text Recognition
In recent years, scene text recognition is always regarded as a sequence...
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11/10/2019
Modular Deep Learning Analysis of Galaxy-Scale Strong Lensing Images
Strong gravitational lensing of astrophysical sources by foreground gala...
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10/16/2019
Game-theoretic Modeling of Traffic in Unsignalized Intersection Network for Autonomous Vehicle Control Verification and Validation
For a foreseeable future, autonomous vehicles (AVs) will operate in traf...
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09/27/2019
Beating humans in a penny-matching game by leveraging cognitive hierarchy theory and Bayesian learning
It is a long-standing goal of artificial intelligence (AI) to be superio...
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09/16/2019
Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning
Terrain traversability analysis is a fundamental issue to achieve the au...
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09/13/2019
BPnP: Further Empowering End-to-End Learning with Back-Propagatable Geometric Optimization
In this paper we present BPnP, a novel method to do back-propagation thr...
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09/11/2019
Tiny Buffer TCP for Data Center Networks
A low and stable buffer occupancy is critical to achieve high throughput...
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08/12/2019
Decision making in dynamic and interactive environments based on cognitive hierarchy theory, Bayesian inference, and predictive control
n this paper, we describe an integrated framework for autonomous decisio...
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08/12/2019
Decision making in dynamic and interactive environments based on cognitive hierarchy theory: Formulation, solution, and application to autonomous driving
In this paper, we describe a framework for autonomous decision making in...
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04/10/2019
Game-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections
Motivated by the need to develop simulation tools for verification and v...
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10/01/2018
Adaptive Game-Theoretic Decision Making for Autonomous Vehicle Control at Roundabouts
In this paper, we propose a decision making algorithm for autonomous veh...
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07/18/2018
An Attention-Based Approach for Single Image Super Resolution
The main challenge of single image super resolution (SISR) is the recove...
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05/08/2018
Multinomial Logit Bandit with Linear Utility Functions
Multinomial logit bandit is a sequential subset selection problem which ...
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04/22/2018
Advancing Tabu and Restart in Local Search for Maximum Weight Cliques
The tabu and restart are two fundamental strategies for local search. In...
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04/20/2018