East China Normal University

∙ Shanghai , China ∙ 0 followers

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.

Learning Robust Representations with Graph Denoising Policy Network

Graph representation learning, aiming to learn low-dimensional represent...
10/04/2019 ∙ by Lu Wang, et al. ∙ 21 ∙ share

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Cascaded Detail-Preserving Networks for Super-Resolution of Document Images

The accuracy of OCR is usually affected by the quality of the input docu...
11/25/2019 ∙ by Zhichao Fu, et al. ∙ 17 ∙ share

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Learning Structured Communication for Multi-agent Reinforcement Learning

This work explores the large-scale multi-agent communication mechanism u...
02/11/2020 ∙ by Junjie Sheng, et al. ∙ 16 ∙ share

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Meta Segmentation Network for Ultra-Resolution Medical Images

Despite recent progress on semantic segmentation, there still exist huge...
02/19/2020 ∙ by Tong Wu, et al. ∙ 14 ∙ share

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Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies

We consider off-policy policy evaluation when the trajectory data are ge...
10/10/2019 ∙ by Xinyun Chen, et al. ∙ 13 ∙ share

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Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning

Generalized zero-shot learning (GZSL) tackles the problem of learning to...
11/20/2019 ∙ by Junjie Wang, et al. ∙ 12 ∙ share

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LTLf Synthesis with Fairness and Stability Assumptions

In synthesis, assumptions are constraints on the environment that rule o...
12/17/2019 ∙ by Shufang Zhu, et al. ∙ 10 ∙ share

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HighEr-Resolution Network for Image Demosaicing and Enhancing

Neural-networks based image restoration methods tend to use low-resoluti...
11/19/2019 ∙ by Kangfu Mei, et al. ∙ 9 ∙ share

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Novelty Detection via Non-Adversarial Generative Network

One-class novelty detection is the process of determining if a query exa...
02/03/2020 ∙ by Chengwei Chen, et al. ∙ 8 ∙ share

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Video Crowd Counting via Dynamic Temporal Modeling

Crowd counting aims to count the number of instantaneous people in a cro...
07/04/2019 ∙ by Xingjiao Wu, et al. ∙ 3 ∙ share

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Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation

Dynamic treatment recommendation systems based on large-scale electronic...
07/04/2018 ∙ by Lu Wang, et al. ∙ 2 ∙ share

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Edge-Aware Deep Image Deblurring

Image deblurring is a fundamental and challenging low-level vision probl...
07/04/2019 ∙ by Zhichao Fu, et al. ∙ 2 ∙ share

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Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification

Graph neural networks are promising architecture for learning and infere...
06/29/2020 ∙ by Kai Zhang, et al. ∙ 2 ∙ share

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Multi-Scale Video Frame-Synthesis Network with Transitive Consistency Loss

Traditional approaches to interpolating/extrapolating frames in a video ...
12/07/2017 ∙ by Zhe Hu, et al. ∙ 0 ∙ share

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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...
08/03/2017 ∙ by Jinyuan Zhang, et al. ∙ 0 ∙ share

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Learning from Non-Stationary Stream Data in Multiobjective Evolutionary Algorithm

Evolutionary algorithms (EAs) have been well acknowledged as a promising...
06/16/2016 ∙ by Jianyong Sun, et al. ∙ 0 ∙ share

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Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks

Event sequence, asynchronously generated with random timestamp, is ubiqu...
05/24/2017 ∙ by Shuai Xiao, et al. ∙ 0 ∙ share

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Multi-view Regularized Gaussian Processes

Gaussian processes (GPs) have been proven to be powerful tools in variou...
01/17/2017 ∙ by Qiuyang Liu, et al. ∙ 0 ∙ share

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Learning Correspondence Structures for Person Re-identification

This paper addresses the problem of handling spatial misalignments due t...
03/20/2017 ∙ by Weiyao Lin, et al. ∙ 0 ∙ share

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A Survey on Multi-View Clustering

With the fast development of information technology, especially the popu...
12/18/2017 ∙ by Guoqing Chao, et al. ∙ 0 ∙ share

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Kernel Regression with Sparse Metric Learning

Kernel regression is a popular non-parametric fitting technique. It aims...
12/25/2017 ∙ by Rongqing Huang, et al. ∙ 0 ∙ share

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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...
12/24/2017 ∙ by Qingjiu Zhang, et al. ∙ 0 ∙ share

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Infinite Mixtures of Multivariate Gaussian Processes

This paper presents a new model called infinite mixtures of multivariate...
07/26/2013 ∙ by Shiliang Sun, et al. ∙ 0 ∙ share

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A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-norm Fidelity

In this paper, we propose a variational multiphase image segmentation mo...
04/09/2015 ∙ by Fang Li, et al. ∙ 0 ∙ share

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LSBN: A Large-Scale Bayesian Structure Learning Framework for Model Averaging

The motivation for this paper is to apply Bayesian structure learning us...
10/18/2012 ∙ by Yang Lu, et al. ∙ 0 ∙ share

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Neural Network Multitask Learning for Traffic Flow Forecasting

Traditional neural network approaches for traffic flow forecasting are u...
12/24/2017 ∙ by Feng Jin, et al. ∙ 0 ∙ share

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A Provably Secure Ring Signature Scheme in Certificateless Cryptography

Ring signature is a kind of group-oriented signature. It allows a member...
12/25/2017 ∙ by Lei Zhang, et al. ∙ 0 ∙ share

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Towards an executable semantics of automobile RTOS standard and its application to conformance verification

The automobile Real-Time Operating System (RTOS) is hard to design and i...
11/24/2017 ∙ by Xiaoran Zhu, et al. ∙ 0 ∙ share

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BiRank: Towards Ranking on Bipartite Graphs

The bipartite graph is a ubiquitous data structure that can model the re...
08/15/2017 ∙ by Xiangnan He, et al. ∙ 0 ∙ share

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A Multi-task Learning Approach for Improving Product Title Compression with User Search Log Data

It is a challenging and practical research problem to obtain effective c...
01/05/2018 ∙ by Jingang Wang, et al. ∙ 0 ∙ share

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tau-FPL: Tolerance-Constrained Learning in Linear Time

Learning a classifier with control on the false-positive rate plays a cr...
01/15/2018 ∙ by Ao Zhang, et al. ∙ 0 ∙ share

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Large-Scale Analysis of Framework-Specific Exceptions in Android Apps

Mobile apps have become ubiquitous. For app developers, it is a key prio...
01/22/2018 ∙ by Lingling Fan, et al. ∙ 0 ∙ share

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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, ...
01/31/2018 ∙ by Dang Lin, et al. ∙ 0 ∙ share

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A Fast Proximal Point Method for Wasserstein Distance

Wasserstein distance plays increasingly important roles in machine learn...
02/12/2018 ∙ by Yujia Xie, et al. ∙ 0 ∙ share

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Finding Top-k Optimal Sequenced Routes -- Full Version

Motivated by many practical applications in logistics and mobility-as-a-...
02/22/2018 ∙ by Huiping Liu, et al. ∙ 0 ∙ share

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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 coverage-based testing for e...
02/23/2018 ∙ by Chengyu Zhang, et al. ∙ 0 ∙ share

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Towards Efficient Data-flow Test Data Generation Using KLEE

Dataflow coverage, one of the white-box testing criteria, focuses on the...
03/17/2018 ∙ by Chengyu Zhang, et al. ∙ 0 ∙ share

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Precise Temporal Action Localization by Evolving Temporal Proposals

Locating actions in long untrimmed videos has been a challenging problem...
04/13/2018 ∙ by Haonan Qiu, et al. ∙ 0 ∙ share

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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....
10/09/2018 ∙ by Chenxiao Zhao, et al. ∙ 0 ∙ share

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SAT-based Explicit LTLf Satisfiability Checking

We present here a SAT-based framework for LTLf (Linear Temporal Logic on...
11/07/2018 ∙ by Jianwen Li, et al. ∙ 0 ∙ share

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Efficient Super Resolution Using Binarized Neural Network

Deep convolutional neural networks (DCNNs) have recently demonstrated hi...
12/16/2018 ∙ by Yinglan Ma, et al. ∙ 0 ∙ share

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Distributed Economic Dispatch for Energy Internet Based on Multi-Agent Consensus Control

We consider the economic dispatch (ED) for an Energy Internet composed o...
12/22/2018 ∙ by Wushen Chen, et al. ∙ 0 ∙ share

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Guaranteeing Recoverability via Partially Constrained Transaction Logs

Transaction logging is an essential constituent to guarantee the atomici...
01/19/2019 ∙ by H. Zhou, et al. ∙ 0 ∙ share

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A Large-scale Empirical Study on Industrial Fake Apps

While there have been various studies towards Android apps and their dev...
02/02/2019 ∙ by Chongbin Tang, et al. ∙ 0 ∙ share

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Service Capacity Enhanced Task Offloading and Resource Allocation in Multi-Server Edge Computing Environment

An edge computing environment features multiple edge servers and multipl...
03/12/2019 ∙ by Wei Du, et al. ∙ 0 ∙ share

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Online Anomaly Detection with Sparse Gaussian Processes

Online anomaly detection of time-series data is an important and challen...
05/14/2019 ∙ by Jingjing Fei, et al. ∙ 0 ∙ share

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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...
05/17/2019 ∙ by Shuaifeng Pang, et al. ∙ 0 ∙ share

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Variational Langevin Hamiltonian Monte Carlo for Distant Multi-modal Sampling

The Hamiltonian Monte Carlo (HMC) sampling algorithm exploits Hamiltonia...
06/01/2019 ∙ by Minghao Gu, et al. ∙ 0 ∙ share

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A Survey of Optimization Methods from a Machine Learning Perspective

Machine learning develops rapidly, which has made many theoretical break...
06/17/2019 ∙ by Shiliang Sun, et al. ∙ 0 ∙ share

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Visual Anomaly Detection in Event Sequence Data

Anomaly detection is a common analytical task that aims to identify rare...
06/26/2019 ∙ by Shunan Guo, et al. ∙ 0 ∙ share

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