b'Yu Jiang'

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...

0 Qifang Zhao, et al. ∙

research

∙ 03/25/2023

Vision-based Vineyard Navigation Solution with Automatic Annotation

Autonomous navigation is the key to achieving the full automation of agr...

0 Ertai Liu, et al. ∙

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...

0 Shengqin Wang, et al. ∙

research

∙ 02/08/2023

Finding Causally Different Tests for an Industrial Control System

Industrial control systems (ICSs) are types of cyber-physical systems in...

0 Christopher M. Poskitt, et al. ∙

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...

0 Sanguo Zhang, et al. ∙

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...

0 Huigen Ye, et al. ∙

research

∙ 11/10/2022

Semantic Learning and Emulation Based Cross-platform Binary Vulnerability Seeker

Clone detection is widely exploited for software vulnerability search. T...

0 Jian Gao, et al. ∙

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...

0 Yu Jiang, et al. ∙

research

∙ 10/19/2022

End-to-End Entity Detection with Proposer and Regressor

Named entity recognition is a traditional task in natural language proce...

0 Xueru Wen, et al. ∙

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...

0 Xueru Wen, et al. ∙

research

∙ 10/13/2022

NeuralRoom: Geometry-Constrained Neural Implicit Surfaces for Indoor Scene Reconstruction

We present a novel neural surface reconstruction method called NeuralRoo...

0 Yusen Wang, et al. ∙

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...

0 Yu Jiang, et al. ∙

research

∙ 09/24/2022

Facilitating Self-monitored Physical Rehabilitation with Virtual Reality and Haptic feedback

Physical rehabilitation is essential to recovery from joint replacement ...

0 Yu Jiang, et al. ∙

research

∙ 05/31/2022

Skeleton-based Action Recognition via Temporal-Channel Aggregation

Skeleton-based action recognition methods are limited by the semantic ex...

0 Shengqin Wang, et al. ∙

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...

0 Nachuan Ma, et al. ∙

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...

0 Zhipeng Li, et al. ∙

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...

0 Mingzhuang Hua, et al. ∙

research

∙ 01/09/2022

Medication Error Detection Using Contextual Language Models

Medication errors most commonly occur at the ordering or prescribing sta...

0 Yu Jiang, et al. ∙

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 ...

0 Yongqiang Tian, et al. ∙

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 ...

5 Yu Jiang, et al. ∙

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...

0 Zhiyuan Wu, et al. ∙

research

∙ 03/25/2021

Spirit Distillation: Precise Real-time Prediction with Insufficient Data

Recent trend demonstrates the effectiveness of deep neural networks (DNN...

0 Zhiyuan Wu, et al. ∙

research

∙ 03/15/2021

HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing

Brain-inspired hyperdimensional computing (HDC) is an emerging computati...

0 Dongning Ma, et al. ∙

research

∙ 03/01/2021

IntelliGen: Automatic Driver Synthesis for FuzzTesting

Fuzzing is a technique widely used in vulnerability detection. The proce...

0 Mingrui Zhang, et al. ∙

research

∙ 03/01/2021

Industry Practice of Coverage-Guided Enterprise-Level DBMS Fuzzing

As an infrastructure for data persistence and analysis, Database Managem...

0 Mingzhe Wang, et al. ∙

research

∙ 12/20/2020

Bayesian Optimization of Area-based Road Pricing

This study presents a Bayesian Optimization framework for area- and dist...

0 Renming Liu, et al. ∙

research

∙ 10/26/2020

Activation Map Adaptation for Effective Knowledge Distillation

Model compression becomes a recent trend due to the requirement of deplo...

0 Zhiyuan Wu, et al. ∙

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...

0 Renming Liu, et al. ∙

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 ...

1 Inon Peled, et al. ∙

research

∙ 06/09/2020

Robust Bayesian variable selection for gene-environment interactions

Gene-environment (G×E) interactions have important implications to eluci...

0 Jie Ren, et al. ∙

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...

17 Zhensong Wei, et al. ∙

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...

0 Yu Jiang, et al. ∙

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 ...

0 Jianmin Guo, et al. ∙

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...

0 Renjie Jin, et al. ∙

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...

0 Fuchen Ma, et al. ∙

research

∙ 06/27/2019

Recovering the distribution of fluorophore for FDOT using cuboid approximation

The time-domain fluorescence diffuse optical tomography (FDOT) is theore...

0 Chunlong Sun, et al. ∙

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...

0 Jie Ren, et al. ∙

research

∙ 04/18/2019

Towards VQA Models that can Read

Studies have shown that a dominant class of questions asked by visually ...

12 Amanpreet Singh, et al. ∙

research

∙ 03/20/2019

EVMFuzz: Differential Fuzz Testing of Ethereum Virtual Machine

Ethereum Virtual Machine (EVM) is the run-time environment for smart con...

0 Ying Fu, et al. ∙

research

∙ 02/26/2019

Online Framework for Demand-Responsive Stochastic Route Optimization

This study develops an online predictive optimization framework for oper...

0 Inon Peled, et al. ∙

research

∙ 01/31/2019

LEOPARD: Identifying Vulnerable Code for Vulnerability Assessment through Program Metrics

Identifying potentially vulnerable locations in a code base is critical ...

0 Xiaoning Du, et al. ∙

research

∙ 10/16/2018

QuanFuzz: Fuzz Testing of Quantum Program

Nowadays, quantum program is widely used and quickly developed. However,...

0 Jiyuan Wang, et al. ∙

research

∙ 08/28/2018

DLFuzz: Differential Fuzzing Testing of Deep Learning Systems

Deep learning (DL) systems are increasingly applied to safety-critical d...

0 Jianmin Guo, et al. ∙

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 ...

12 Yu Jiang, et al. ∙

research

∙ 06/30/2018

EnFuzz: From Ensemble Learning to Ensemble Fuzzing

Fuzzing is widely used for software vulnerability detection. There are v...

0 Yuanliang Chen, et al. ∙

research

∙ 07/16/2017

Towards Physiology-Aware DASH: Bandwidth-Compliant Prioritized Clinical Multimedia Communication in Ambulances

The ultimate objective of medical cyber-physical systems is to enhance t...

0 Mohammad Hosseini, et al. ∙

Yu Jiang

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