
The Sample Complexity of Bestk Items Selection from Pairwise Comparisons
This paper studies the sample complexity (aka number of comparisons) bou...
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MultiArmed Bandits with Local Differential Privacy
This paper investigates the problem of regret minimization for multiarm...
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Transformation Importance with Applications to Cosmology
Machine learning lies at the heart of new possibilities for scientific d...
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Toward LowCost and Stable Blockchain Networks
Envisioned to be the future of distributed systems, blockchain networks ...
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Influence Function based Data Poisoning Attacks to TopN Recommender Systems
Recommender system is an essential component of web services to engage u...
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Overfitting Can Be Harmless for Basis Pursuit: Only to a Degree
Recently, there have been significant interests in studying the generali...
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Randomized Bregman Coordinate Descent Methods for NonLipschitz Optimization
We propose a new randomized Bregman (block) coordinate descent (RBCD) me...
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Private and CommunicationEfficient Edge Learning: A Sparse Differential GaussianMasking Distributed SGD Approach
With rise of machine learning (ML) and the proliferation of smart mobile...
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Leveraging Two Reference Functions in Block Bregman Proximal Gradient Descent for Nonconvex and NonLipschitz Problems
In the applications of signal processing and data analytics, there is a ...
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Detecting Cyberattacks in Industrial Control Systems Using Online Learning Algorithms
Industrial control systems are critical to the operation of industrial f...
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CommunicationEfficient NetworkDistributed Optimization with DifferentialCoded Compressors
Networkdistributed optimization has attracted significant attention in ...
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FDDWNet: A Lightweight Convolutional Neural Network for Realtime Sementic Segmentation
This paper introduces a lightweight convolutional neural network, called...
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Hierarchical FeatureAware Correlation Filter for Efficient Visual Tracking
In this paper, we propose a featureaware correlation filter (FACF) for ...
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Hierarchical FeatureAware Tracking
In this paper, we propose a hierarchical featureaware tracking framewor...
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ByzantineResilient Stochastic Gradient Descent for Distributed Learning: A LipschitzInspired Coordinatewise Median Approach
In this work, we consider the resilience of distributed algorithms based...
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On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons
This paper studies the problem of finding the exact ranking from noisy c...
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Urban flows prediction from spatialtemporal data using machine learning: A survey
Urban spatialtemporal flows prediction is of great importance to traffi...
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Enabling security and High Energy Efficiency in the Internet of Things with Massive MIMO Hybrid Precoding
Recently, the security of Internet of Things (IoT) has been an issue of ...
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Recent Advances of Image Steganography with Generative Adversarial Networks
In the past few years, the Generative Adversarial Network (GAN) which pr...
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Efficient Parallel Simulation of Blood Flows in Abdominal Aorta
It is known that the maximum diameter for the rupturerisk assessment of...
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NeuralVis: Visualizing and Interpreting Deep Learning Models
Deep Neural Network(DNN) techniques have been prevalent in software engi...
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Distributed Linear Model Clustering over Networks: A TreeBased FusedLasso ADMM Approach
In this work, we consider to improve the model estimation efficiency by ...
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Generative Reversible Data Hiding by Image to Image Translation via GANs
The traditional reversible data hiding technique is based on cover image...
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Somewhat Reversible Data Hiding by Image to Image Translation
The traditional reversible data hiding technique is based on image modif...
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LEDNet: A Lightweight EncoderDecoder Network for RealTime Semantic Segmentation
The extensive computational burden limits the usage of CNNs in mobile de...
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Fully Homomorphic Encryption Encapsulated Difference Expansion for Reversible Data hiding in Encrypted Domain
This paper proposes a fully homomorphic encryption encapsulated differen...
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SelfOrganizing Quantum Networks
As the inevitable development trend of quantum key distribution, quantum...
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Nucleus Neural Network: A Datadriven Selforganized Architecture
Artificial neural networks which are inspired from the learning mechanis...
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Nucleus Neural Network for Super Robust Learning
Artificial neural networks which model the neurons and connecting archit...
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Large Margin Softmax Loss for Speaker Verification
In neural network based speaker verification, speaker embedding is expec...
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Habitat: A Platform for Embodied AI Research
We present Habitat, a new platform for research in embodied artificial i...
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Combinatorial Sleeping Bandits with Fairness Constraints
The multiarmed bandit (MAB) model has been widely adopted for studying ...
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Compressed Distributed Gradient Descent: CommunicationEfficient Consensus over Networks
Network consensus optimization has received increasing attention in rece...
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Exploring k out of Top ρ Fraction of Arms in Stochastic Bandits
This paper studies the problem of identifying any k distinct arms among ...
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Poisoning Attacks to GraphBased Recommender Systems
Recommender system is an important component of many web services to hel...
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Bayesian modelbased spatiotemporal survey design for logGaussian Cox process
In geostatistics, the design for data collection is central for accurate...
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Multiobjective Optimization Training of PLDA for Speaker Verification
Most current stateoftheart textindependent speaker verification syst...
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Exploring a Unified AttentionBased Pooling Framework for Speaker Verification
The pooling layer is an essential component in the neural network based ...
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Steganography Security: Principle and Practice
This paper focuses on several theoretical issues and principles in stega...
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PAC Ranking from Pairwise and Listwise Queries: Lower Bounds and Upper Bounds
This paper explores the adaptively (active) PAC (probably approximately ...
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Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in NonConvex Learning
Understanding the convergence performance of asynchronous stochastic gra...
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Adaptive Stochastic Gradient Langevin Dynamics: Taming Convergence and Saddle Point Escape Time
In this paper, we propose a new adaptive stochastic gradient Langevin dy...
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Generative Steganography by Sampling
In this paper, a new datadriven information hiding scheme called genera...
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The Reincarnation of Grille Cipher: A Generative Approach
In order to keep the data secret, various techniques have been implement...
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The Reincarnation of Grille Cipher
In order to keep the data secret, various techniques have been implement...
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Speaker Embedding Extraction with Phonetic Information
Speaker embeddings achieve promising results on many speaker verificatio...
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Digital Cardan Grille: A Modern Approach for Information Hiding
In this paper, a new framework for construction of Cardan grille for inf...
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Link Selection for Secure Cooperative Networks with BufferAided Relaying
This paper investigates the secure communication in a twohop cooperativ...
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Dynamic Interference Steering in Heterogeneous Cellular Networks
With the development of diverse wireless communication technologies, int...
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Interference Steering to Manage Interference
To enable densely deployed base stations (BSs) or access points (APs) to...
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Jia Liu
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Researcher at VASCO Data Security since 2018, Research Fellow at Institute for Communication Systems (ICS), 5G Innovation Centre (5GIC), University of Surrey since 2016, Research Assistant in the Cryptography and Information Security Group at Department of Computer Science, University of Bristol from 20152016, Research Fellow in Computer Security Group at School of Computer Science, University of Birmingham from 20122015, Laboratory of Computer Science, PhD Computer Science and Technology at Institute of Software Chinese Academy of Sciences 20052010.