b'Yue Li'

research

∙ 04/24/2023

Context Sensitivity without Contexts: A Cut-Shortcut Approach to Fast and Precise Pointer Analysis

Over the past decades, context sensitivity has been considered as one of...

0 Wenjie Ma, et al. ∙

research

∙ 04/09/2023

Point-SLAM: Dense Neural Point Cloud-based SLAM

We propose a dense neural simultaneous localization and mapping (SLAM) a...

0 Erik Sandstrom, et al. ∙

research

∙ 03/22/2023

Evaluating the Role of Target Arguments in Rumour Stance Classification

Considering a conversation thread, stance classification aims to identif...

0 Yue Li, et al. ∙

research

∙ 03/18/2023

EGTSyn: Edge-based Graph Transformer for Anti-Cancer Drug Combination Synergy Prediction

Combination therapy with multiple drugs is a potent therapy strategy for...

0 Jie Hu, et al. ∙

research

∙ 03/10/2023

QVRF: A Quantization-error-aware Variable Rate Framework for Learned Image Compression

Learned image compression has exhibited promising compression performanc...

0 Kedeng Tong, et al. ∙

research

∙ 02/17/2023

Rigorous Derivation of the Degenerate Parabolic-Elliptic Keller-Segel System from a Moderately Interacting Stochastic Particle System. Part II Propagation of Chaos

This work is a series of two articles. The main goal is to rigorously de...

0 Li Chen, et al. ∙

research

∙ 11/30/2022

MSV Challenge 2022: NPU-HC Speaker Verification System for Low-resource Indian Languages

This report describes the NPU-HC speaker verification system submitted t...

0 Yue Li, et al. ∙

research

∙ 10/05/2022

Spot-on: A Checkpointing Framework for Fault-Tolerant Long-running Workloads on Cloud Spot Instances

Spot instances offer a cost-effective solution for applications running ...

0 Ashley Tung, et al. ∙

research

∙ 08/15/2022

Xscope: Hunting for Cross-Chain Bridge Attacks

Cross-Chain bridges have become the most popular solution to support ass...

0 Jiashuo Zhang, et al. ∙

research

∙ 07/31/2022

Tai-e: A Static Analysis Framework for Java by Harnessing the Best Designs of Classics

Static analysis is a mature field with applications to bug detection, se...

0 Tian Tan, et al. ∙

research

∙ 07/18/2022

Classifying COVID-19 vaccine narratives

COVID-19 vaccine hesitancy is widespread, despite governments' informati...

0 Yue Li, et al. ∙

research

∙ 07/05/2022

Backend Ensemble for Speaker Verification and Spoofing Countermeasure

This paper describes the NPU system submitted to Spoofing Aware Speaker ...

0 Li Zhang, et al. ∙

research

∙ 06/03/2022

Modeling electronic health record data using a knowledge-graph-embedded topic model

The rapid growth of electronic health record (EHR) datasets opens up pro...

0 Yuesong Zou, et al. ∙

research

∙ 05/31/2022

GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for Multilingual News Article Similarity

This paper describes the second-placed system on the leaderboard of SemE...

0 Iknoor Singh, et al. ∙

research

∙ 10/18/2021

Minimum ℓ_1-norm interpolators: Precise asymptotics and multiple descent

An evolving line of machine learning works observe empirical evidence th...

0 Yue Li, et al. ∙

research

∙ 10/08/2021

Effect of Visual Cues on Pointing Tasks in Co-located Augmented Reality Collaboration

Visual cues are essential in computer-mediated communication. It is espe...

0 Lei Chen, et al. ∙

research

∙ 06/25/2021

CLOAK: A Framework For Development of Confidential Blockchain Smart Contracts

In recent years, as blockchain adoption has been expanding across a wide...

0 Qian Ren, et al. ∙

research

∙ 05/04/2021

Supervised multi-specialist topic model with applications on large-scale electronic health record data

Motivation: Electronic health record (EHR) data provides a new venue to ...

0 Ziyang Song, et al. ∙

research

∙ 03/16/2021

A survey of deep neural network watermarking techniques

Protecting the Intellectual Property Rights (IPR) associated to Deep Neu...

0 Yue Li, et al. ∙

research

∙ 03/08/2021

Transparent Checkpointing for OpenGL Applications on GPUs

This work presents transparent checkpointing of OpenGL applications, ref...

0 David Hou, et al. ∙

research

∙ 02/22/2021

NTopo: Mesh-free Topology Optimization using Implicit Neural Representations

Recent advances in implicit neural representations show great promise wh...

25 Jonas Zehnder, et al. ∙

research

∙ 12/28/2020

IRO: Integrity and Reliability Enhanced Ring ORAM

Memory security and reliability are two of the major design concerns in ...

0 Wenpeng He, et al. ∙

research

∙ 12/28/2020

Spread-Transform Dither Modulation Watermarking of Deep Neural Network

DNN watermarking is receiving an increasing attention as a suitable mean...

0 Yue Li, et al. ∙

research

∙ 11/25/2020

Deep Physics-aware Inference of Cloth Deformation for Monocular Human Performance Capture

Recent monocular human performance capture approaches have shown compell...

0 Yue Li, et al. ∙

research

∙ 10/26/2020

Restrained Generative Adversarial Network against Overfitting in Numeric Data Augmentation

In recent studies, Generative Adversarial Network (GAN) is one of the po...

0 Wei Wang, et al. ∙

research

∙ 10/26/2020

A low-dissipation shock-capturing framework with flexible nonlinear dissipation control

In this work, a framework to construct arbitrarily high-order low-dissip...

0 Yue Li, et al. ∙

research

∙ 10/03/2020

Randomized tests for high-dimensional regression: A more efficient and powerful solution

We investigate the problem of testing the global null in the high-dimens...

0 Yue Li, et al. ∙

research

∙ 06/02/2020

Kaya: A Testing Framework for Blockchain-based Decentralized Applications

In recent years, many decentralized applications based on blockchain (DA...

0 Zhenhao Wu, et al. ∙

research

∙ 03/02/2020

A Hybrid Lagrangian-Eulerian Method for Topology Optimization

We propose LETO, a new hybrid Lagrangian-Eulerian method for topology op...

0 Yue Li, et al. ∙

research

∙ 11/05/2019

Study of Constrained Network Structures for WGANs on Numeric Data Generation

Some recent studies have suggested using GANs for numeric data generatio...

10 Wei Wang, et al. ∙

research

∙ 07/01/2019

Applying Meta-Analytic Predictive Priors with the R Bayesian evidence synthesis tools

Use of historical data in clinical trial design and analysis has shown v...

0 Sebastian Weber, et al. ∙

research

∙ 04/29/2019

Deep Learning-Based Video Coding: A Review and A Case Study

The past decade has witnessed great success of deep learning technology ...

0 Dong Liu, et al. ∙

research

∙ 04/12/2019

Boundary-Preserved Deep Denoising of the Stochastic Resonance Enhanced Multiphoton Images

As the rapid growth of high-speed and deep-tissue imaging in biomedical ...

6 Sheng-Yong Niu, et al. ∙

research

∙ 03/20/2019

Substation One-Line Diagram Automatic Generation and Visualization

In Energy Management System (EMS) applications and many other off-line p...

0 Jing Hong, et al. ∙

research

∙ 03/18/2019

Coinductive Uniform Proofs

Coinduction occurs in two guises in Horn clause logic: in proofs of circ...

0 Ekaterina Komendantskaya, et al. ∙

research

∙ 11/19/2018

Coinduction in Uniform: Foundations for Corecursive Proof Search with Horn Clauses

We establish proof-theoretic, constructive and coalgebraic foundations f...

0 Henning Basold, et al. ∙

research

∙ 11/01/2018

A latent topic model for mining heterogenous non-randomly missing electronic health records data

Electronic health records (EHR) are rich heterogeneous collection of pat...

0 Yue Li, et al. ∙

research

∙ 09/13/2018

Towards Coinductive Theory Exploration in Horn Clause Logic: Position Paper

Coinduction occurs in two guises in Horn clause logic: in proofs of self...

0 Ekaterina Komendantskaya Dr, et al. ∙

research

∙ 06/14/2017

Understanding and Analyzing Java Reflection

Java reflection has been increasingly used in a wide range of software. ...

0 Yue Li, et al. ∙

research

∙ 02/22/2017

Convolutional Neural Network-Based Block Up-sampling for Intra Frame Coding

Inspired by the recent advances of image super-resolution using convolut...

0 Yue Li, et al. ∙

research

∙ 08/03/2015

Unsupervised Learning in Genome Informatics

With different genomes available, unsupervised learning algorithms are e...

0 Ka-Chun Wong, et al. ∙

Yue Li

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