research
∙
07/19/2023
UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant Marketing
When doing private domain marketing with cloud services, the merchants u...
share
research
∙
03/25/2023
Vision-based Vineyard Navigation Solution with Automatic Annotation
Autonomous navigation is the key to achieving the full automation of agr...
research
∙
02/17/2023
Dynamic Spatial-temporal Hypergraph Convolutional Network for Skeleton-based Action Recognition
Skeleton-based action recognition relies on the extraction of spatial-te...
research
∙
02/08/2023
Finding Causally Different Tests for an Industrial Control System
Industrial control systems (ICSs) are types of cyber-physical systems in...
research
∙
11/30/2022
Biomarker-guided heterogeneity analysis of genetic regulations via multivariate sparse fusion
Heterogeneity is a hallmark of many complex diseases. There are multiple...
research
∙
11/18/2022
Adaptive Constraint Partition based Optimization Framework for Large-scale Integer Linear Programming(Student Abstract)
Integer programming problems (IPs) are challenging to be solved efficien...
research
∙
11/10/2022
Semantic Learning and Emulation Based Cross-platform Binary Vulnerability Seeker
Clone detection is widely exploited for software vulnerability search. T...
research
∙
10/24/2022
Towards Understanding Player Behavior in Blockchain Games: A Case Study of Aavegotchi
Blockchain games introduce unique gameplay and incentive mechanisms by a...
research
∙
10/19/2022
End-to-End Entity Detection with Proposer and Regressor
Named entity recognition is a traditional task in natural language proce...
research
∙
10/19/2022
Type-supervised sequence labeling based on the heterogeneous star graph for named entity recognition
Named entity recognition is a fundamental task in natural language proce...
research
∙
10/13/2022
NeuralRoom: Geometry-Constrained Neural Implicit Surfaces for Indoor Scene Reconstruction
We present a novel neural surface reconstruction method called NeuralRoo...
research
∙
09/25/2022
Convergence and exponential stability of modified truncated Milstein method for stochastic differential equations
In this paper, we develop a new explicit scheme called modified truncate...
research
∙
09/24/2022
Facilitating Self-monitored Physical Rehabilitation with Virtual Reality and Haptic feedback
Physical rehabilitation is essential to recovery from joint replacement ...
research
∙
05/31/2022
Skeleton-based Action Recognition via Temporal-Channel Aggregation
Skeleton-based action recognition methods are limited by the semantic ex...
research
∙
04/28/2022
Computer Vision for Road Imaging and Pothole Detection: A State-of-the-Art Review of Systems and Algorithms
Computer vision algorithms have been prevalently utilized for 3-D road i...
research
∙
04/26/2022
Modeling the Noticeability of User-Avatar Movement Inconsistency for Sense of Body Ownership Intervention
An avatar mirroring the user's movement is commonly adopted in Virtual R...
research
∙
03/17/2022
Transfer learning for cross-modal demand prediction of bike-share and public transit
The urban transportation system is a combination of multiple transport m...
research
∙
01/09/2022
Medication Error Detection Using Contextual Language Models
Medication errors most commonly occur at the ordering or prescribing sta...
research
∙
12/06/2021
Fast Test Input Generation for Finding Deviated Behaviors in Compressed Deep Neural Network
Model compression can significantly reduce sizes of deep neural network ...
research
∙
08/18/2021
WRICNet:A Weighted Rich-scale Inception Coder Network for Multi-Resolution Remote Sensing Image Change Detection
Majority models of remote sensing image changing detection can only get ...
research
∙
04/29/2021
Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer
Recent applications pose requirements of both cross-domain knowledge tra...
research
∙
03/25/2021
Spirit Distillation: Precise Real-time Prediction with Insufficient Data
Recent trend demonstrates the effectiveness of deep neural networks (DNN...
research
∙
03/15/2021
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing
Brain-inspired hyperdimensional computing (HDC) is an emerging computati...
research
∙
03/01/2021
IntelliGen: Automatic Driver Synthesis for FuzzTesting
Fuzzing is a technique widely used in vulnerability detection. The proce...
research
∙
03/01/2021
Industry Practice of Coverage-Guided Enterprise-Level DBMS Fuzzing
As an infrastructure for data persistence and analysis, Database Managem...
research
∙
12/20/2020
Bayesian Optimization of Area-based Road Pricing
This study presents a Bayesian Optimization framework for area- and dist...
research
∙
10/26/2020
Activation Map Adaptation for Effective Knowledge Distillation
Model compression becomes a recent trend due to the requirement of deplo...
research
∙
09/15/2020
Managing network congestion with a tradable credit scheme: a trip-based MFD approach
This study investigates the efficiency and effectiveness of an area-base...
research
∙
08/31/2020
Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport
As Public Transport (PT) becomes more dynamic and demand-responsive, it ...
research
∙
06/09/2020
Robust Bayesian variable selection for gene-environment interactions
Gene-environment (G×E) interactions have important implications to eluci...
research
∙
01/24/2020
End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning
This paper presented a deep reinforcement learning method named Double D...
research
∙
12/24/2019
Diffuse optical tomography by simulated annealing via a spin Hamiltonian
The inverse problem of diffuse optical tomography is solved by the Marko...
research
∙
11/11/2019
RNN-Test: Adversarial Testing Framework for Recurrent Neural Network Systems
While huge efforts have been investigated in the adversarial testing of ...
research
∙
10/13/2019
Some New Classes of Entanglement-assisted Quantum MDS Codes from generalized Reed-Solomon Codes
In this paper, we produce some new classes of entanglement-assisted quan...
research
∙
10/06/2019
GasFuzz: Generating High Gas Consumption Inputs to Avoid Out-of-Gas Vulnerability
The out-of-gas error occurs when smart contract programs are provided wi...
research
∙
06/27/2019
Recovering the distribution of fluorophore for FDOT using cuboid approximation
The time-domain fluorescence diffuse optical tomography (FDOT) is theore...
research
∙
06/03/2019
Semi-parametric Bayesian variable selection for gene-environment interactions
Many complex diseases are known to be affected by the interactions betwe...
research
∙
04/18/2019
Towards VQA Models that can Read
Studies have shown that a dominant class of questions asked by visually ...
research
∙
03/20/2019
EVMFuzz: Differential Fuzz Testing of Ethereum Virtual Machine
Ethereum Virtual Machine (EVM) is the run-time environment for smart con...
research
∙
02/26/2019
Online Framework for Demand-Responsive Stochastic Route Optimization
This study develops an online predictive optimization framework for oper...
research
∙
01/31/2019
LEOPARD: Identifying Vulnerable Code for Vulnerability Assessment through Program Metrics
Identifying potentially vulnerable locations in a code base is critical ...
research
∙
10/16/2018
QuanFuzz: Fuzz Testing of Quantum Program
Nowadays, quantum program is widely used and quickly developed. However,...
research
∙
08/28/2018
DLFuzz: Differential Fuzzing Testing of Deep Learning Systems
Deep learning (DL) systems are increasingly applied to safety-critical d...
research
∙
07/26/2018
Pythia v0.1: the Winning Entry to the VQA Challenge 2018
This document describes Pythia v0.1, the winning entry from Facebook AI ...
research
∙
06/30/2018
EnFuzz: From Ensemble Learning to Ensemble Fuzzing
Fuzzing is widely used for software vulnerability detection. There are v...
research
∙
07/16/2017
