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
293 publications
Wei Liu
207 publications
Bo Li
176 publications
Jun Wang
161 publications
Yi Zhang
99 publications
Jie Yang
82 publications
Klaus-Robert Müller
81 publications
Chang Liu
81 publications
Kai Chen
64 publications
Dong Liu
50 publications
Xiao Wang
45 publications

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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Pay to change lanes: A cooperative lane-changing strategy for connected/automated driving

This paper proposes a cooperative lane changing strategy using a transfe...
03/11/2019 ∙ by DianChao Lin, et al. ∙ 0 ∙ share

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Accelerating Minibatch Stochastic Gradient Descent using Typicality Sampling

Machine learning, especially deep neural networks, has been rapidly deve...
03/11/2019 ∙ by Xinyu Peng, et al. ∙ 8 ∙ share

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A Roadmap-Path Reshaping Algorithm for Real-Time Motion Planning

Real-time motion planning is a vital function of robotic systems. Differ...
02/28/2019 ∙ by Chaoyi Sun, et al. ∙ 0 ∙ share

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Sip4J: Statically inferring permission-based specifications for sequential Java programs

In mainstream programming languages such as Java, a common way to enable...
02/14/2019 ∙ by Ayesha Sadiq, et al. ∙ 0 ∙ share

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Occupancy-map-based rate distortion optimization for video-based point cloud compression

The state-of-the-art video-based point cloud compression scheme projects...
02/11/2019 ∙ by Li Li, et al. ∙ 0 ∙ share

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Cooperative Driving at Unsignalized Intersections Using Tree Search

In this paper, we propose a new cooperative driving strategy for connect...
02/04/2019 ∙ by Huile Xu, et al. ∙ 0 ∙ share

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Neural-Guided Symbolic Regression with Semantic Prior

Symbolic regression has been shown to be quite useful in many domains fr...
01/23/2019 ∙ by Li Li, et al. ∙ 12 ∙ share

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Fast MVAE: Joint separation and classification of mixed sources based on multichannel variational autoencoder with auxiliary classifier

This paper proposes an alternative algorithm for multichannel variationa...
12/16/2018 ∙ by Li Li, et al. ∙ 0 ∙ share

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Rebooting Research on Detecting Repackaged Android Apps: Literature Review and Benchmark

Repackaging is a serious threat to the Android ecosystem as it deprives ...
11/20/2018 ∙ by Li Li, et al. ∙ 0 ∙ share

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An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms

Deep learning (DL) has recently achieved tremendous success in a variety...
11/13/2018 ∙ by Qianyu Guo, et al. ∙ 2 ∙ share

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Optimization of Molecules via Deep Reinforcement Learning

We present a framework, which we call Molecule Deep Q-Networks (MolDQN),...
10/19/2018 ∙ by Zhenpeng Zhou, et al. ∙ 0 ∙ share

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Generalized Multichannel Variational Autoencoder for Underdetermined Source Separation

This paper deals with a multichannel audio source separation problem und...
09/29/2018 ∙ by Shogo Seki, et al. ∙ 0 ∙ share

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Beyond Google Play: A Large-Scale Comparative Study of Chinese Android App Markets

China is one of the largest Android markets in the world. As Chinese use...
09/26/2018 ∙ by Haoyu Wang, et al. ∙ 0 ∙ share

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Multiple Combined Constraints for Image Stitching

Several approaches to image stitching use different constraints to estim...
09/18/2018 ∙ by Kai Chen, et al. ∙ 8 ∙ share

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Learning Data-adaptive Nonparametric Kernels

Traditional kernels or their combinations are often not sufficiently fle...
08/31/2018 ∙ by Fanghui Liu, et al. ∙ 8 ∙ share

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An Efficient Deep Reinforcement Learning Model for Urban Traffic Control

Urban Traffic Control (UTC) plays an essential role in Intelligent Trans...
08/06/2018 ∙ by Yilun Lin, et al. ∙ 8 ∙ share

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Semi-blind source separation with multichannel variational autoencoder

This paper proposes a multichannel source separation method called the m...
08/02/2018 ∙ by Hirokazu Kameoka, et al. ∙ 8 ∙ share

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Dating with Scambots: Understanding the Ecosystem of Fraudulent Dating Applications

In this work, we are focusing on a new and yet uncovered way for malicio...
07/13/2018 ∙ by Yangyu Hu, et al. ∙ 0 ∙ share

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Traffic Differentiation in Dense WLANs with CSMA/ECA-DR MAC Protocol

In today's WLANs, scheduling of packet transmissions solely relies on th...
06/25/2018 ∙ by Seyedmohammad Salehi, et al. ∙ 0 ∙ share

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DeepMutation: Mutation Testing of Deep Learning Systems

Deep learning (DL) defines a new data-driven programming paradigm where ...
05/14/2018 ∙ by Lei Ma, et al. ∙ 0 ∙ share

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Processing of Electronic Health Records using Deep Learning: A review

Availability of large amount of clinical data is opening up new research...
04/05/2018 ∙ by Venet Osmani, et al. ∙ 0 ∙ share

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