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
228 publications
Bo Li
209 publications
Jun Wang
188 publications
Yi Zhang
111 publications
Chang Liu
100 publications
Jie Yang
95 publications
Klaus-Robert Müller
86 publications
Chao Li
77 publications
Kai Chen
75 publications
Xiao Wang
56 publications

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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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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