Li Li

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Cylance ∙ Tsinghua University ∙ Monash University ∙ University of Missouri-Kansas City ∙ SAMSUNG ∙ 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
Wei Liu
267 publications
Bo Li
251 publications
Jun Wang
233 publications
Yu Zhang
227 publications
Ling Shao
159 publications
Yi Zhang
140 publications
Chang Liu
125 publications
Jie Chen
124 publications
Jie Yang
120 publications
Chi Zhang
105 publications

Video-based Point Cloud Compression Artifact Removal

Photo-realistic point cloud capture and transmission are the fundamental...
07/29/2021 ∙ by Anique Akhtar, et al. ∙ 0 ∙ share

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Dirichlet Energy Constrained Learning for Deep Graph Neural Networks

Graph neural networks (GNNs) integrate deep architectures and topologica...
07/06/2021 ∙ by Kaixiong Zhou, et al. ∙ 0 ∙ share

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Distributed Nash Equilibrium Seeking under Quantization Communication

This paper investigates Nash equilibrium (NE) seeking problems for nonco...
06/30/2021 ∙ by Ziqin Chen, et al. ∙ 0 ∙ share

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Federated Noisy Client Learning

Federated learning (FL) collaboratively aggregates a shared global model...
06/24/2021 ∙ by Li Li, et al. ∙ 12 ∙ share

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

Due to the growing awareness of driving safety and the development of so...
05/26/2021 ∙ by Xinran Li, et al. ∙ 2 ∙ share

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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 ...
05/19/2021 ∙ by Wentao Ouyang, et al. ∙ 0 ∙ share

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

Deep learning has become the most powerful machine learning tool in the ...
05/15/2021 ∙ by Xinyu Peng, et al. ∙ 20 ∙ share

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

Unsupervised domain adaptation (UDA) aims to solve the problem of knowle...
05/11/2021 ∙ by Huihuang Chen, et al. ∙ 2 ∙ share

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Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions

Recently, adversarial attack methods have been developed to challenge th...
04/22/2021 ∙ by Jing Wu, et al. ∙ 0 ∙ share

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CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework

Federated learning (FL) is an emerging distributed machine learning para...
04/16/2021 ∙ by Yu Zhang, et al. ∙ 0 ∙ share

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

Federated Learning (FL) is a novel distributed machine learning which al...
04/15/2021 ∙ by Li Li, et al. ∙ 0 ∙ share

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

For an autonomous robotic system, monitoring surgeon actions and assisti...
04/07/2021 ∙ by Vivek Singh Bawa, et al. ∙ 9 ∙ share

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

The software inevitably encounters the crash, which will take developers...
04/05/2021 ∙ by Kunsong Zhao, et al. ∙ 0 ∙ share

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

Health-related mobile applications are known as eHealth apps. These apps...
04/03/2021 ∙ by Md. Shamsujjoha, et al. ∙ 0 ∙ share

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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...
03/26/2021 ∙ by Ke Li, et al. ∙ 0 ∙ share

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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...
03/23/2021 ∙ by Xiaolei Ren, et al. ∙ 0 ∙ share

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

Classifying mobile apps based on their description is beneficial for sev...
03/22/2021 ∙ by Md. Shamsujjoha, et al. ∙ 0 ∙ share

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

The key procedure of haze image translation through adversarial training...
03/11/2021 ∙ by Chi Zhang, et al. ∙ 19 ∙ share

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Deep Learning for Android Malware Defenses: a Systematic Literature Review

Malicious applications (especially in the Android platform) are a seriou...
03/09/2021 ∙ by Yue Liu, et al. ∙ 0 ∙ share

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Restoring Execution Environments of Jupyter Notebooks

More than ninety percent of published Jupyter notebooks do not state dep...
03/04/2021 ∙ by Jiawei Wang, et al. ∙ 0 ∙ share

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A Layered Grouping Random Access Scheme Based on Dynamic Preamble Selection for Massive Machine Type Communications

Massive machine type communication (mMTC) has been identified as an impo...
02/25/2021 ∙ by Gaofeng Cheng, et al. ∙ 0 ∙ share

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DEAL: Decremental Energy-Aware Learning in a Federated System

Federated learning struggles with their heavy energy footprint on batter...
02/05/2021 ∙ by Wenting Zou, et al. ∙ 0 ∙ share

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Private Randomized Controlled Trials: A Protocol for Industry Scale Deployment

In this paper, we outline a way to deploy a privacy-preserving protocol ...
01/12/2021 ∙ by Mahnush Movahedi, et al. ∙ 0 ∙ share

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A First Look at Human Values-Violation in App Reviews

Ubiquitous technologies such as mobile software applications (mobile app...
12/18/2020 ∙ by Humphrey O. Obie, et al. ∙ 0 ∙ share

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Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation

Reinforcement learning (RL) has shown great promise in optimizing long-t...
12/04/2020 ∙ by Yanan Wang, et al. ∙ 0 ∙ share

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DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator

Many hardware vendors have introduced specialized deep neural networks (...
11/11/2020 ∙ by Zihan Liu, et al. ∙ 0 ∙ share

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Learnability and Complexity of Quantum Samples

Given a quantum circuit, a quantum computer can sample the output distri...
10/22/2020 ∙ by Murphy Yuezhen Niu, et al. ∙ 3 ∙ share

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Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics

Including prior knowledge is important for effective machine learning mo...
09/17/2020 ∙ by Li Li, et al. ∙ 0 ∙ share

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Explainable Recommender Systems via Resolving Learning Representations

Recommender systems play a fundamental role in web applications in filte...
08/21/2020 ∙ by Ninghao Liu, et al. ∙ 13 ∙ share

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Defending Adversarial Examples via DNN Bottleneck Reinforcement

This paper presents a DNN bottleneck reinforcement scheme to alleviate t...
08/12/2020 ∙ by Wenqing Liu, et al. ∙ 12 ∙ share

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Evaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair

A large body of the literature of automated program repair develops appr...
08/07/2020 ∙ by Haoye Tian, et al. ∙ 0 ∙ share

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Anchor: Locating Android Framework-specific Crashing Faults

Android framework-specific app crashes are hard to debug. Indeed, the ca...
08/04/2020 ∙ by Pingfan Kong, et al. ∙ 0 ∙ share

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Decomposition of the Total Effect for Two Mediators: A Natural Counterfactual Interaction Effect Framework

Mediation analysis has been used in many disciplines to explain the mech...
07/30/2020 ∙ by Xin Gao, et al. ∙ 0 ∙ share

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Active Crowd Counting with Limited Supervision

To learn a reliable people counter from crowd images, head center annota...
07/13/2020 ∙ by Zhen Zhao, et al. ∙ 27 ∙ share

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Scaling Symbolic Methods using Gradients for Neural Model Explanation

Symbolic techniques based on Satisfiability Modulo Theory (SMT) solvers ...
06/29/2020 ∙ by Subham Sekhar Sahoo, et al. ∙ 1 ∙ share

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A New Modal Autoencoder for Functionally Independent Feature Extraction

Autoencoders have been widely used for dimensional reduction and feature...
06/25/2020 ∙ by Yuzhu Guo, et al. ∙ 22 ∙ share

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Explore Training of Deep Convolutional Neural Networks on Battery-powered Mobile Devices: Design and Application

The fast-growing smart applications on mobile devices leverage pre-train...
05/26/2020 ∙ by Cong Wang, et al. ∙ 13 ∙ share

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Warwick Image Forensics Dataset for Device Fingerprinting In Multimedia Forensics

Device fingerprints like sensor pattern noise (SPN) are widely used for ...
04/22/2020 ∙ by Yijun Quan, et al. ∙ 2 ∙ share

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Incorporating Multiple Cluster Centers for Multi-Label Learning

Multi-label learning deals with the problem that each instance is associ...
04/17/2020 ∙ by Senlin Shu, et al. ∙ 6 ∙ share

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Decomposition of Total Effect with the Notion of Natural Counterfactual Interaction Effect

Mediation analysis serves as a crucial tool to obtain causal inference b...
04/13/2020 ∙ by Xin Gao, et al. ∙ 0 ∙ share

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Vanishing Point Guided Natural Image Stitching

Recently, works on improving the naturalness of stitching images gain mo...
04/06/2020 ∙ by Kai Chen, et al. ∙ 0 ∙ share

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A Cooperative Learning Framework for Resource Management in MEC: An ADMM Perspective

We consider the problem of intelligent and efficient resource management...
03/28/2020 ∙ by Xiaoxiong Zhong, et al. ∙ 0 ∙ share

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OODT: Obstacle Aware Opportunistic Data Transmission for Cognitive Radio Ad Hoc Networks

In recent years, a large number of smart devices will be connected in In...
03/26/2020 ∙ by Xiaoxiong Zhong, et al. ∙ 0 ∙ share

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MadDroid: Characterising and Detecting Devious Ad Content for Android Apps

Advertisement drives the economy of the mobile app ecosystem. As a key c...
02/05/2020 ∙ by Tianming Liu, et al. ∙ 0 ∙ share

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Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning

With the explosive growth of online products and content, recommendation...
01/27/2020 ∙ by Xi Liu, et al. ∙ 13 ∙ share

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Learning to Catch Security Patches

Timely patching is paramount to safeguard users and maintainers against ...
01/24/2020 ∙ by Arthur D. Sawadogo, et al. ∙ 0 ∙ share

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Node-charge graph-based online carshare rebalancing with capacitated electric charging

Viability of electric car-sharing operations depends on rebalancing algo...
01/20/2020 ∙ by Theodoros Pantelidis, et al. ∙ 0 ∙ share

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A Bi-Level Cooperative Driving Strategy Allowing Lane Changes

This paper studies the cooperative driving of connected and automated ve...
12/24/2019 ∙ by Huile Xu, et al. ∙ 0 ∙ share

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Causal inference of hazard ratio based on propensity score matching

Propensity score matching is commonly used to draw causal inference from...
11/27/2019 ∙ by Shuhan Tang, et al. ∙ 0 ∙ share

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Video-based compression for plenoptic point clouds

The plenoptic point cloud that has multiple colors from various directio...
11/04/2019 ∙ by Li Li, et al. ∙ 0 ∙ share

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