
Learning Robust Representations with Graph Denoising Policy Network
Graph representation learning, aiming to learn lowdimensional represent...
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Cascaded DetailPreserving Networks for SuperResolution of Document Images
The accuracy of OCR is usually affected by the quality of the input docu...
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Learning Structured Communication for Multiagent Reinforcement Learning
This work explores the largescale multiagent communication mechanism u...
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Meta Segmentation Network for UltraResolution Medical Images
Despite recent progress on semantic segmentation, there still exist huge...
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Infinitehorizon OffPolicy Policy Evaluation with Multiple Behavior Policies
We consider offpolicy policy evaluation when the trajectory data are ge...
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Heterogeneous Graphbased Knowledge Transfer for Generalized Zeroshot Learning
Generalized zeroshot learning (GZSL) tackles the problem of learning to...
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LTLf Synthesis with Fairness and Stability Assumptions
In synthesis, assumptions are constraints on the environment that rule o...
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HighErResolution Network for Image Demosaicing and Enhancing
Neuralnetworks based image restoration methods tend to use lowresoluti...
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Novelty Detection via NonAdversarial Generative Network
Oneclass novelty detection is the process of determining if a query exa...
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Video Crowd Counting via Dynamic Temporal Modeling
Crowd counting aims to count the number of instantaneous people in a cro...
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Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation
Dynamic treatment recommendation systems based on largescale electronic...
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EdgeAware Deep Image Deblurring
Image deblurring is a fundamental and challenging lowlevel vision probl...
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MultiScale Video FrameSynthesis Network with Transitive Consistency Loss
Traditional approaches to interpolating/extrapolating frames in a video ...
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Preselection via Classification: A Case Study on Evolutionary Multiobjective Optimization
In evolutionary algorithms, a preselection operator aims to select the p...
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Learning from NonStationary Stream Data in Multiobjective Evolutionary Algorithm
Evolutionary algorithms (EAs) have been well acknowledged as a promising...
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Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks
Event sequence, asynchronously generated with random timestamp, is ubiqu...
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Multiview Regularized Gaussian Processes
Gaussian processes (GPs) have been proven to be powerful tools in variou...
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Learning Correspondence Structures for Person Reidentification
This paper addresses the problem of handling spatial misalignments due t...
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A Survey on MultiView Clustering
With the fast development of information technology, especially the popu...
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Kernel Regression with Sparse Metric Learning
Kernel regression is a popular nonparametric fitting technique. It aims...
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Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network Classification
Artificial neural network (ANN) is a very useful tool in solving learnin...
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Infinite Mixtures of Multivariate Gaussian Processes
This paper presents a new model called infinite mixtures of multivariate...
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A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1norm Fidelity
In this paper, we propose a variational multiphase image segmentation mo...
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LSBN: A LargeScale Bayesian Structure Learning Framework for Model Averaging
The motivation for this paper is to apply Bayesian structure learning us...
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Neural Network Multitask Learning for Traffic Flow Forecasting
Traditional neural network approaches for traffic flow forecasting are u...
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A Provably Secure Ring Signature Scheme in Certificateless Cryptography
Ring signature is a kind of grouporiented signature. It allows a member...
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Towards an executable semantics of automobile RTOS standard and its application to conformance verification
The automobile RealTime Operating System (RTOS) is hard to design and i...
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BiRank: Towards Ranking on Bipartite Graphs
The bipartite graph is a ubiquitous data structure that can model the re...
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A Multitask Learning Approach for Improving Product Title Compression with User Search Log Data
It is a challenging and practical research problem to obtain effective c...
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tauFPL: ToleranceConstrained Learning in Linear Time
Learning a classifier with control on the falsepositive rate plays a cr...
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LargeScale Analysis of FrameworkSpecific Exceptions in Android Apps
Mobile apps have become ubiquitous. For app developers, it is a key prio...
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An efficient algorithm for global interval solution of nonlinear algebraic equations and its GPGPU implementation
Solving nonlinear algebraic equations is a classic mathematics problem, ...
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A Fast Proximal Point Method for Wasserstein Distance
Wasserstein distance plays increasingly important roles in machine learn...
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Finding Topk Optimal Sequenced Routes  Full Version
Motivated by many practical applications in logistics and mobilityasa...
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SmartUnit: Empirical Evaluations for Automated Unit Testing of Embedded Software in Industry
In this paper, we aim at the automated unit coveragebased testing for e...
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Towards Efficient Dataflow Test Data Generation Using KLEE
Dataflow coverage, one of the whitebox testing criteria, focuses on the...
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Precise Temporal Action Localization by Evolving Temporal Proposals
Locating actions in long untrimmed videos has been a challenging problem...
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The Adversarial Attack and Detection under the Fisher Information Metric
Many deep learning models are vulnerable to the adversarial attack, i.e....
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SATbased Explicit LTLf Satisfiability Checking
We present here a SATbased framework for LTLf (Linear Temporal Logic on...
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Efficient Super Resolution Using Binarized Neural Network
Deep convolutional neural networks (DCNNs) have recently demonstrated hi...
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Distributed Economic Dispatch for Energy Internet Based on MultiAgent Consensus Control
We consider the economic dispatch (ED) for an Energy Internet composed o...
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Guaranteeing Recoverability via Partially Constrained Transaction Logs
Transaction logging is an essential constituent to guarantee the atomici...
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A Largescale Empirical Study on Industrial Fake Apps
While there have been various studies towards Android apps and their dev...
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Service Capacity Enhanced Task Offloading and Resource Allocation in MultiServer Edge Computing Environment
An edge computing environment features multiple edge servers and multipl...
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Online Anomaly Detection with Sparse Gaussian Processes
Online anomaly detection of timeseries data is an important and challen...
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Concurrency Protocol Aiming at High Performance of Execution and Replay for Smart Contracts
Although the emergence of the programmable smart contract makes blockcha...
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Variational Langevin Hamiltonian Monte Carlo for Distant Multimodal Sampling
The Hamiltonian Monte Carlo (HMC) sampling algorithm exploits Hamiltonia...
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A Survey of Optimization Methods from a Machine Learning Perspective
Machine learning develops rapidly, which has made many theoretical break...
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Visual Anomaly Detection in Event Sequence Data
Anomaly detection is a common analytical task that aims to identify rare...
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A Survey and Experimental Analysis of Distributed Subgraph Matching
Recently there emerge many distributed algorithms that aim at solving su...
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East China Normal University
Founded in Shanghai in October 1951, East China Normal University (ECNU) is one of the most prestigious universities in China. Since China opened up to the world in 1978, ECNU has developed at a breathtaking pace into a comprehensive research university.