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
243 publications
Bo Li
224 publications
Yu Zhang
219 publications
Jun Wang
210 publications
Yi Zhang
122 publications
Chang Liu
113 publications
Jie Yang
105 publications
Chi Zhang
101 publications
Klaus-Robert Müller
86 publications
Chao Li
84 publications

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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Diversifying Topic-Coherent Response Generation for Natural Multi-turn Conversations

Although response generation (RG) diversification for single-turn dialog...
10/24/2019 ∙ by Fei Hu, et al. ∙ 17 ∙ share

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An Improved Historical Embedding without Alignment

Many words have evolved in meaning as a result of cultural and social ch...
10/19/2019 ∙ by Xiaofei Xu, et al. ∙ 0 ∙ share

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Do Energy-oriented Changes Hinder Maintainability?

Energy efficiency is a crucial quality requirement for mobile applicatio...
08/22/2019 ∙ by Luis Cruz, et al. ∙ 0 ∙ share

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Click-Through Rate Prediction with the User Memory Network

Click-through rate (CTR) prediction is a critical task in online adverti...
07/09/2019 ∙ by Wentao Ouyang, et al. ∙ 0 ∙ share

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Cooperative Lane Changing via Deep Reinforcement Learning

In this paper, we study how to learn an appropriate lane changing strate...
06/20/2019 ∙ by Guan Wang, et al. ∙ 3 ∙ share

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Better Code, Better Sharing:On the Need of Analyzing Jupyter Notebooks

By bringing together code, text, and examples, Jupyter notebooks have be...
06/12/2019 ∙ by Jiawei Wang, et al. ∙ 0 ∙ share

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Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction

Click-through rate (CTR) prediction is a critical task in online adverti...
06/10/2019 ∙ by Wentao Ouyang, et al. ∙ 2 ∙ share

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A Right-of-Way Based Strategy to Implement Safe and Efficient Driving at Non-Signalized Intersections for Automated Vehicles

Non-signalized intersection is a typical and common scenario for connect...
04/22/2019 ∙ by Yadong Xing, et al. ∙ 0 ∙ share

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Decoding Molecular Graph Embeddings with Reinforcement Learning

We present RL-VAE, a graph-to-graph variational autoencoder that uses re...
04/18/2019 ∙ by Steven Kearnes, et al. ∙ 24 ∙ share

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