East China Normal University

research

∙ 08/19/2020

Face Anti-Spoofing Via Disentangled Representation Learning

Face anti-spoofing is crucial to security of face recognition systems. P...

Ke-Yue Zhang, et al. ∙

research

∙ 05/13/2022

A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities

Few-shot learning (FSL) has emerged as an effective learning method and ...

Yisheng Song, et al. ∙

research

∙ 04/19/2021

Contrastive Learning for Compact Single Image Dehazing

Single image dehazing is a challenging ill-posed problem due to the seve...

Haiyan Wu, et al. ∙

research

∙ 10/04/2019

Learning Robust Representations with Graph Denoising Policy Network

Graph representation learning, aiming to learn low-dimensional represent...

Lu Wang, et al. ∙

research

∙ 11/10/2021

Training Generative Adversarial Networks with Adaptive Composite Gradient

The wide applications of Generative adversarial networks benefit from th...

Huiqing Qi, et al. ∙

research

∙ 07/09/2020

Brain Tumor Anomaly Detection via Latent Regularized Adversarial Network

With the development of medical imaging technology, medical images have ...

Nan Wang, et al. ∙

research

∙ 11/25/2019

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

The accuracy of OCR is usually affected by the quality of the input docu...

Zhichao Fu, et al. ∙

research

∙ 02/11/2020

Learning Structured Communication for Multi-agent Reinforcement Learning

This work explores the large-scale multi-agent communication mechanism u...

Junjie Sheng, et al. ∙

research

∙ 08/20/2021

SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining

Recently, the performance of Pre-trained Language Models (PLMs) has been...

Taolin Zhang, et al. ∙

research

∙ 04/28/2022

A Closer Look at Branch Classifiers of Multi-exit Architectures

Multi-exit architectures consist of a backbone and branch classifiers th...

Shaohui Lin, et al. ∙

research

∙ 02/19/2020

Meta Segmentation Network for Ultra-Resolution Medical Images

Despite recent progress on semantic segmentation, there still exist huge...

Tong Wu, et al. ∙

research

∙ 10/10/2019

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

We consider off-policy policy evaluation when the trajectory data are ge...

Xinyun Chen, et al. ∙

research

∙ 11/12/2021

BSC: Block-based Stochastic Computing to Enable Accurate and Efficient TinyML

Along with the progress of AI democratization, machine learning (ML) has...

Yuhong Song, et al. ∙

research

∙ 11/20/2019

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

Generalized zero-shot learning (GZSL) tackles the problem of learning to...

Junjie Wang, et al. ∙

research

∙ 03/03/2022

LGT-Net: Indoor Panoramic Room Layout Estimation with Geometry-Aware Transformer Network

3D room layout estimation by a single panorama using deep neural network...

Zhigang Jiang, et al. ∙

research

∙ 03/04/2022

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights

Combinatorial optimization is a well-established area in operations rese...

Maxime Gasse, et al. ∙

research

∙ 05/17/2021

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

Dynamic graph modeling has recently attracted much attention due to its ...

Lu Wang, et al. ∙

research

∙ 12/17/2019

LTLf Synthesis with Fairness and Stability Assumptions

In synthesis, assumptions are constraints on the environment that rule o...

Shufang Zhu, et al. ∙

research

∙ 11/19/2019

HighEr-Resolution Network for Image Demosaicing and Enhancing

Neural-networks based image restoration methods tend to use low-resoluti...

Kangfu Mei, et al. ∙

research

∙ 05/24/2022

FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment

Along with the popularity of Artificial Intelligence (AI) and Internet-o...

Zhiwei Ling, et al. ∙

research

∙ 02/03/2020

Novelty Detection via Non-Adversarial Generative Network

One-class novelty detection is the process of determining if a query exa...

Chengwei Chen, et al. ∙

research

∙ 04/21/2022

Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation

Due to the prosperity of Artificial Intelligence (AI) techniques, more a...

Jun Xia, et al. ∙

research

∙ 07/24/2022

Label-Guided Auxiliary Training Improves 3D Object Detector

Detecting 3D objects from point clouds is a practical yet challenging ta...

Yaomin Huang, et al. ∙

research

∙ 07/04/2019

Video Crowd Counting via Dynamic Temporal Modeling

Crowd counting aims to count the number of instantaneous people in a cro...

Xingjiao Wu, et al. ∙

research

∙ 07/04/2018

Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation

Dynamic treatment recommendation systems based on large-scale electronic...

Lu Wang, et al. ∙

research

∙ 07/04/2019

Edge-Aware Deep Image Deblurring

Image deblurring is a fundamental and challenging low-level vision probl...

Zhichao Fu, et al. ∙

research

∙ 06/29/2020

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

Graph neural networks are promising architecture for learning and infere...

Kai Zhang, et al. ∙

research

∙ 02/24/2021

Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing

Single image dehazing is a challenging ill-posed problem that has drawn ...

Qiaosi Yi, et al. ∙

research

∙ 07/30/2022

Streaming Algorithms for Diversity Maximization with Fairness Constraints

Diversity maximization is a fundamental problem with wide applications i...

Yanhao Wang, et al. ∙

research

∙ 06/28/2020

FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications

Along with the proliferation of Artificial Intelligence (AI) and Interne...

Yunfei Song, et al. ∙

research

∙ 08/10/2021

MSTC*:Multi-robot Coverage Path Planning under Physical Constraints

For large-scale tasks, coverage path planning (CPP) can benefit greatly ...

Jingtao Tang, et al. ∙

research

∙ 08/20/2021

Structure-Preserving Deraining with Residue Channel Prior Guidance

Single image deraining is important for many high-level computer vision ...

Qiaosi Yi, et al. ∙

research

∙ 11/29/2021

Efficient Federated Learning for AIoT Applications Using Knowledge Distillation

As a promising distributed machine learning paradigm, Federated Learning...

Tian Liu, et al. ∙

research

∙ 12/11/2021

Programming Knowledge Tracing: A Comprehensive Dataset and A New Model

In this paper, we study knowledge tracing in the domain of programming e...

Renyu Zhu, et al. ∙

research

∙ 12/27/2021

Learning Robust and Lightweight Model through Separable Structured Transformations

With the proliferation of mobile devices and the Internet of Things, dee...

Xian Wei, et al. ∙

research

∙ 12/27/2021

ViR:the Vision Reservoir

The most recent year has witnessed the success of applying the Vision Tr...

Xian Wei, et al. ∙

research

∙ 01/29/2022

Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications

As a promising method of central model training on decentralized device ...

Tian Liu, et al. ∙

research

∙ 02/01/2022

Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways

Recommender systems typically suggest to users content similar to what t...

Francesco Fabbri, et al. ∙

research

∙ 02/23/2022

FedCAT: Towards Accurate Federated Learning via Device Concatenation

As a promising distributed machine learning paradigm, Federated Learning...

Ming Hu, et al. ∙

research

∙ 02/28/2022

Machine Learning Empowered Intelligent Data Center Networking: A Survey

To support the needs of ever-growing cloud-based services, the number of...

Bo Li, et al. ∙

research

∙ 03/11/2022

Learning from Attacks: Attacking Variational Autoencoder for Improving Image Classification

Adversarial attacks are often considered as threats to the robustness of...

Jianzhang Zheng, et al. ∙

research

∙ 04/29/2022

Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation

Single image denoising (SID) has achieved significant breakthroughs with...

Juncheng Li, et al. ∙

research

∙ 05/10/2022

Multi-agent Reinforcement Learning for Dynamic Resource Management in 6G in-X Subnetworks

The 6G network enables a subnetwork-wide evolution, resulting in a "netw...

Xiao Du, et al. ∙

research

∙ 12/07/2017

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

Traditional approaches to interpolating/extrapolating frames in a video ...

Zhe Hu, et al. ∙

research

∙ 08/03/2017

Preselection via Classification: A Case Study on Evolutionary Multiobjective Optimization

In evolutionary algorithms, a preselection operator aims to select the p...

Jinyuan Zhang, et al. ∙

research

∙ 06/16/2016

Learning from Non-Stationary Stream Data in Multiobjective Evolutionary Algorithm

Evolutionary algorithms (EAs) have been well acknowledged as a promising...

Jianyong Sun, et al. ∙

research

∙ 05/24/2017

Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks

Event sequence, asynchronously generated with random timestamp, is ubiqu...

Shuai Xiao, et al. ∙

research

∙ 01/17/2017

Multi-view Regularized Gaussian Processes

Gaussian processes (GPs) have been proven to be powerful tools in variou...

Qiuyang Liu, et al. ∙

research

∙ 03/20/2017

Learning Correspondence Structures for Person Re-identification

This paper addresses the problem of handling spatial misalignments due t...

Weiyao Lin, et al. ∙

research

∙ 12/18/2017

A Survey on Multi-View Clustering

With the fast development of information technology, especially the popu...

Guoqing Chao, et al. ∙

East China Normal University

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