Li Li

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Tsinghua University

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IEEE

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Monash University

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University of Missouri-Kansas City

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SAMSUNG

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USTC

Lecturer (a.k.a., Assistant Professor) at Monash University, Lecturer at Monash University- Clayton Sch of Info Technology, Research Associate in Software Engineering at the University of Luxembourg (UL), Honorary Research Associate at CREST/SSE, University College London (UCL), Phd degree in November 2016 from the Interdisciplinary Security and Trust Centre (SnT), University of Luxembourg (UL).

Featured Co-authors

Yang Liu
344 publications
Bo Li
338 publications
Wei Liu
320 publications
Yu Zhang
303 publications
Xin Wang
297 publications
Jun Wang
291 publications
Ling Shao
192 publications
Yi Zhang
191 publications
Chang Liu
166 publications
Jie Chen
163 publications
Jie Yang
158 publications

∙ 07/01/2022

Grant-Free Transmission by LDPC Matrix Mapping and Integrated Cover-MPA Detector

In this paper, a novel transceiver architecture is proposed to simultane...

Linjie Yang, et al. ∙

∙ 06/18/2022

Piecewise Linear Neural Networks and Deep Learning

As a powerful modelling method, PieceWise Linear Neural Networks (PWLNNs...

Qinghua Tao, et al. ∙

∙ 06/11/2022

Software Engineering in Australasia

Six months ago an important call was made for researchers globally to pr...

Sherlock A. Licorish, et al. ∙

∙ 05/31/2022

Dataset Bias in Android Malware Detection

Researchers have proposed kinds of malware detection methods to solve th...

Yan Lin, et al. ∙

∙ 05/04/2022

CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training

Recent years have witnessed increasing interest in code representation l...

Xin Wang, et al. ∙

∙ 04/21/2022

Multiple EffNet/ResNet Architectures for Melanoma Classification

Melanoma is the most malignant skin tumor and usually cancerates from no...

Jiaqi Xue, et al. ∙

∙ 04/15/2022

Image Captioning In the Transformer Age

Image Captioning (IC) has achieved astonishing developments by incorpora...

Yang Xu, et al. ∙

∙ 03/22/2022

FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction

Federated learning (FL) allows multiple clients to collectively train a ...

Liang Gao, et al. ∙

∙ 03/14/2022

On the Violation of Honesty in Mobile Apps: Automated Detection and Categories

Human values such as integrity, privacy, curiosity, security, and honest...

Humphrey O. Obie, et al. ∙

∙ 03/11/2022

aiWave: Volumetric Image Compression with 3-D Trained Affine Wavelet-like Transform

Volumetric image compression has become an urgent task to effectively tr...

Dongmei Xue, et al. ∙

∙ 03/03/2022

Evolving symbolic density functionals

Systematic development of accurate density functionals has been a decade...

He Ma, et al. ∙

∙ 02/24/2022

Scalpel: The Python Static Analysis Framework

Despite being the most popular programming language, Python has not yet ...

Li Li, et al. ∙

∙ 02/14/2022

On the Importance of Building High-quality Training Datasets for Neural Code Search

The performance of neural code search is significantly influenced by the...

Zhensu Sun, et al. ∙

∙ 01/17/2022

Characterizing Sensor Leaks in Android Apps

While extremely valuable to achieve advanced functions, mobile phone sen...

Xiaoyu Sun, et al. ∙

∙ 12/20/2021

Difuzer: Uncovering Suspicious Hidden Sensitive Operations in Android Apps

One prominent tactic used to keep malicious behavior from being detected...

Jordan Samhi, et al. ∙

∙ 12/20/2021

An Investigation into Inconsistency of Software Vulnerability Severity across Data Sources

Software Vulnerability (SV) severity assessment is a vital task for info...

Roland Croft, et al. ∙

∙ 12/01/2021

Attribute Artifacts Removal for Geometry-based Point Cloud Compression

Geometry-based point cloud compression (G-PCC) can achieve remarkable co...

Xihua Sheng, et al. ∙

∙ 11/27/2021

Temporal Context Mining for Learned Video Compression

We address end-to-end learned video compression with a special focus on ...

Xihua Sheng, et al. ∙

∙ 11/25/2021

Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning

This paper studies a distributed policy gradient in collaborative multi-...

Xiaoxiao Zhao, et al. ∙

∙ 11/15/2021

Beep: Fine-grained Fix Localization by Learning to Predict Buggy Code Elements

Software Fault Localization refers to the activity of finding code eleme...

Shangwen Wang, et al. ∙

∙ 10/30/2021

MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning

In visual recognition tasks, few-shot learning requires the ability to l...

Miao Zhang, et al. ∙

∙ 10/28/2021

Generalizability of density functionals learned from differentiable programming on weakly correlated spin-polarized systems

Kohn-Sham regularizer (KSR) is a machine learning approach that optimize...

Bhupalee Kalita, et al. ∙

∙ 10/25/2021

CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning

Github Copilot, trained on billions of lines of public code, has recentl...

Zhensu Sun, et al. ∙

∙ 10/05/2021

Does Domain Change the Opinion of Individuals on Human Values? A Preliminary Investigation on eHealth Apps End-users

The elicitation of end-users' human values - such as freedom, honesty, t...

Humphrey Obie, et al. ∙

∙ 10/02/2021

How Secondary School Girls Perceive Computational Thinking Practices through Collaborative Programming with the Micro:bit

Computational Thinking (CT) has been investigated from different perspec...

Mojtaba Shahin, et al. ∙

∙ 09/28/2021

FastMVAE2: On improving and accelerating the fast variational autoencoder-based source separation algorithm for determined mixtures

This paper proposes a new source model and training scheme to improve th...

Li Li, et al. ∙

∙ 09/18/2021

iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform

With the rapid development of whole brain imaging technology, a large nu...

Dongmei Xue, et al. ∙

∙ 09/07/2021

CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network Systems

Given the success of reinforcement learning (RL) in various domains, it ...

Li Li, et al. ∙

∙ 09/04/2021

On Faster Convergence of Scaled Sign Gradient Descent

Communication has been seen as a significant bottleneck in industrial ap...

Xiuxian Li, et al. ∙

∙ 08/30/2021

Adaptive Label Smoothing To Regularize Large-Scale Graph Training

Graph neural networks (GNNs), which learn the node representations by re...

Kaixiong Zhou, et al. ∙

∙ 08/11/2021

Taming Process Variations in CNFET for Efficient Last Level Cache Design

Carbon nanotube field-effect transistors (CNFET) emerge as a promising a...

Dawen Xu, et al. ∙

∙ 08/10/2021

SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation

Code representation learning, which aims to encode the semantics of sour...

Xin Wang, et al. ∙

∙ 07/29/2021

Video-based Point Cloud Compression Artifact Removal

Photo-realistic point cloud capture and transmission are the fundamental...

Anique Akhtar, et al. ∙

∙ 07/06/2021

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks

Graph neural networks (GNNs) integrate deep architectures and topologica...

Kaixiong Zhou, et al. ∙

∙ 06/30/2021

Distributed Nash Equilibrium Seeking under Quantization Communication

This paper investigates Nash equilibrium (NE) seeking problems for nonco...

Ziqin Chen, et al. ∙

∙ 06/24/2021

Federated Noisy Client Learning

Federated learning (FL) collaboratively aggregates a shared global model...

Li Li, et al. ∙

∙ 05/26/2021

Composition and Application of Current Advanced Driving Assistance System: A Review

Due to the growing awareness of driving safety and the development of so...

Xinran Li, et al. ∙

∙ 05/19/2021

Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction

Click-through rate (CTR) prediction is one of the most central tasks in ...

Wentao Ouyang, et al. ∙

∙ 05/15/2021

Drill the Cork of Information Bottleneck by Inputting the Most Important Data

Deep learning has become the most powerful machine learning tool in the ...

Xinyu Peng, et al. ∙

∙ 05/11/2021

Unsupervised domain adaptation via double classifiers based on high confidence pseudo label

Unsupervised domain adaptation (UDA) aims to solve the problem of knowle...

Huihuang Chen, et al. ∙

∙ 04/22/2021

Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions

Recently, adversarial attack methods have been developed to challenge th...

Jing Wu, et al. ∙

∙ 04/16/2021

CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework

Federated learning (FL) is an emerging distributed machine learning para...

Yu Zhang, et al. ∙

∙ 04/15/2021

FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems

Federated Learning (FL) is a novel distributed machine learning which al...

Li Li, et al. ∙

∙ 04/07/2021

The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods

For an autonomous robotic system, monitoring surgeon actions and assisti...

Vivek Singh Bawa, et al. ∙

∙ 04/05/2021

Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set

The software inevitably encounters the crash, which will take developers...

Kunsong Zhao, et al. ∙

∙ 04/03/2021

Human-Centric Issues in eHealth App Development and Usage: A Preliminary Assessment

Health-related mobile applications are known as eHealth apps. These apps...

Md. Shamsujjoha, et al. ∙

∙ 03/26/2021

On the Reliability and Concurrent Unicast Transmission Node Control of 5G NR-V2X Networks

In vehicle-to-everything (V2X) communications, reliability is one of the...

Ke Li, et al. ∙

∙ 03/23/2021

Unleashing the Hidden Power of Compiler Optimization on Binary Code Difference: An Empirical Study

Since compiler optimization is the most common source contributing to bi...

Xiaolei Ren, et al. ∙

∙ 03/22/2021

Checking App Behavior Against App Descriptions: What If There are No App Descriptions?

Classifying mobile apps based on their description is beneficial for sev...

Md. Shamsujjoha, et al. ∙

∙ 03/11/2021

Level-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement

The key procedure of haze image translation through adversarial training...

Chi Zhang, et al. ∙