b'Fan Zhang'

research

∙ 07/17/2022

FloLPIPS: A Bespoke Video Quality Metric for Frame Interpoation

Video frame interpolation (VFI) serves as a useful tool for many video p...

Duolikun Danier, et al. ∙

research

∙ 07/11/2022

FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR

In the past decade, with the development of big data technology, an incr...

Luning Bi, et al. ∙

research

∙ 07/05/2022

TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers

Diffusion MRI tractography is an advanced imaging technique for quantita...

Fan Zhang, et al. ∙

research

∙ 06/04/2022

CAINNFlow: Convolutional block Attention modules and Invertible Neural Networks Flow for anomaly detection and localization tasks

Detection of object anomalies is crucial in industrial processes, but un...

Ruiqing Yan, et al. ∙

research

∙ 05/24/2022

Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Classification

Deep neural networks generally perform poorly with datasets that suffer ...

Liang Xu, et al. ∙

research

∙ 05/14/2022

A Saliency-Guided Street View Image Inpainting Framework for Efficient Last-Meters Wayfinding

Global Positioning Systems (GPS) have played a crucial role in various n...

Chuanbo Hu, et al. ∙

research

∙ 05/12/2022

One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code

People perceive the world with multiple senses (e.g., through hearing so...

Yong Dai, et al. ∙

research

∙ 05/05/2022

Multi-Graph based Multi-Scenario Recommendation in Large-scale Online Video Services

Recently, industrial recommendation services have been boosted by the co...

Fan Zhang, et al. ∙

research

∙ 04/26/2022

SkillNet-NLG: General-Purpose Natural Language Generation with a Sparsely Activated Approach

We present SkillNet-NLG, a sparsely activated approach that handles many...

Junwei Liao, et al. ∙

research

∙ 04/18/2022

Enhancing Non-mass Breast Ultrasound Cancer Classification With Knowledge Transfer

Much progress has been made in the deep neural network (DNN) based diagn...

Yangrun Hu, et al. ∙

research

∙ 04/02/2022

SAD: A Large-scale Dataset towards Airport Detection in Synthetic Aperture Radar Images

Airports have an important role in both military and civilian domains. T...

Fan Zhang, et al. ∙

research

∙ 03/17/2022

STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity

Spatial clustering has been widely used for spatial data mining and know...

Yuhao Kang, et al. ∙

research

∙ 03/07/2022

One Model, Multiple Tasks: Pathways for Natural Language Understanding

This paper presents a Pathways approach to handle many tasks at once. Ou...

Duyu Tang, et al. ∙

research

∙ 03/04/2022

Mixed Reality Depth Contour Occlusion Using Binocular Similarity Matching and Three-dimensional Contour Optimisation

Mixed reality applications often require virtual objects that are partly...

Naye Ji, et al. ∙

research

∙ 02/21/2022

Double Thompson Sampling in Finite stochastic Games

We consider the trade-off problem between exploration and exploitation u...

Shuqing Shi, et al. ∙

research

∙ 02/15/2022

Enhancing Deformable Convolution based Video Frame Interpolation with Coarse-to-fine 3D CNN

This paper presents a new deformable convolution-based video frame inter...

Duolikun Danier, et al. ∙

research

∙ 02/15/2022

A Subjective Quality Study for Video Frame Interpolation

Video frame interpolation (VFI) is one of the fundamental research areas...

Duolikun Danier, et al. ∙

research

∙ 02/08/2022

Model and predict age and sex in healthy subjects using brain white matter features: A deep learning approach

The human brain's white matter (WM) structure is of immense interest to ...

Hao He, et al. ∙

research

∙ 01/14/2022

Empirical Analysis of EIP-1559: Transaction Fees, Waiting Time, and Consensus Security

Transaction fee mechanism (TFM) is an essential component of a blockchai...

Yulin Liu, et al. ∙

research

∙ 12/18/2021

GCN-Geo: A Graph Convolution Network-based Fine-grained IP Geolocation Framework

Classical fine-grained measurement-based IP geolocation algorithms often...

Shichang Ding, et al. ∙

research

∙ 11/30/2021

Spatio-Temporal Multi-Flow Network for Video Frame Interpolation

Video frame interpolation (VFI) is currently a very active research topi...

Duolikun Danier, et al. ∙

research

∙ 11/15/2021

Can Graph Neural Networks Learn to Solve MaxSAT Problem?

With the rapid development of deep learning techniques, various recent w...

Minghao Liu, et al. ∙

research

∙ 11/04/2021

Optimal Discrete Constellation Inputs for Aggregated LiFi-WiFi Networks

In this paper, we investigate the performance of a practical aggregated ...

Shuai Ma, et al. ∙

research

∙ 10/23/2021

Towards User Engagement Dynamics in Social Networks

The engagement of each user in a social network is an essential indicato...

Qingyuan Linghu, et al. ∙

research

∙ 10/06/2021

Grasp-Oriented Fine-grained Cloth Segmentation without Real Supervision

Automatically detecting graspable regions from a single depth image is a...

Ruijie Ren, et al. ∙

research

∙ 09/23/2021

Coded Computation across Shared Heterogeneous Workers with Communication Delay

Distributed computing enables large-scale computation tasks to be proces...

Yuxuan Sun, et al. ∙

research

∙ 09/22/2021

Efficient Context-Aware Network for Abdominal Multi-organ Segmentation

The contextual information, presented in abdominal CT scan, is relative ...

Fan Zhang, et al. ∙

research

∙ 09/09/2021

OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settings

This paper quantitatively reveals the state-of-the-art and state-of-the-...

Yunyou Huang, et al. ∙

research

∙ 08/12/2021

Session-based Recommendation with Heterogeneous Graph Neural Network

The purpose of the Session-Based Recommendation System is to predict the...

Jinpeng Chen, et al. ∙

research

∙ 07/28/2021

An explainable two-dimensional single model deep learning approach for Alzheimer's disease diagnosis and brain atrophy localization

Early and accurate diagnosis of Alzheimer's disease (AD) and its prodrom...

Fan Zhang, et al. ∙

research

∙ 06/15/2021

Perceptually-inspired super-resolution of compressed videos

Spatial resolution adaptation is a technique which has often been employ...

Di Ma, et al. ∙

research

∙ 06/09/2021

On Sample Based Explanation Methods for NLP:Efficiency, Faithfulness, and Semantic Evaluation

In the recent advances of natural language processing, the scale of the ...

Wei Zhang, et al. ∙

research

∙ 06/08/2021

A Deep Value-network Based Approach for Multi-Driver Order Dispatching

Recent works on ride-sharing order dispatching have highlighted the impo...

Xiaocheng Tang, et al. ∙

research

∙ 05/28/2021

Deception Detection in Videos using the Facial Action Coding System

Facts are important in decision making in every situation, which is why ...

Hammad Ud Din Ahmed, et al. ∙

research

∙ 05/18/2021

Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms

Large ride-hailing platforms, such as DiDi, Uber and Lyft, connect tens ...

Xiaocheng Tang, et al. ∙

research

∙ 04/20/2021

Transmit Correlation Diversity: Generalization, New Techniques, and Improved Bounds

When the users in a MIMO broadcast channel experience different spatial ...

Fan Zhang, et al. ∙

research

∙ 04/19/2021

Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection

Despite significant progress in neural abstractive summarization, recent...

Sihao Chen, et al. ∙

research

∙ 03/31/2021

Individually Fair Gradient Boosting

We consider the task of enforcing individual fairness in gradient boosti...

Alexander Vargo, et al. ∙

research

∙ 03/30/2021

Robustifying Conditional Portfolio Decisions via Optimal Transport

We propose a data-driven portfolio selection model that integrates side ...

Viet Anh Nguyen, et al. ∙

research

∙ 03/10/2021

Enhancing VMAF through New Feature Integration and Model Combination

VMAF is a machine learning based video quality assessment method, origin...

Fan Zhang, et al. ∙

research

∙ 03/08/2021

Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning

We present a new practical framework based on deep reinforcement learnin...

Yan Jiao, et al. ∙

research

∙ 03/03/2021

Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases

The rapid development of remote sensing techniques provides rich, large-...

Xiao Huang, et al. ∙

research

∙ 02/19/2021

On the numerical overshoots of shock-capturing schemes

This note introduces a simple metric for benchmarking shock-capturing sc...

Huaibao Zhang, et al. ∙

research

∙ 02/03/2021

Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation

In Speech Emotion Recognition (SER), emotional characteristics often app...

Mingke Xu, et al. ∙

research

∙ 02/02/2021

Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification

Deep convolutional neural network (DCNN) models have been widely explore...

Peng Yao, et al. ∙

research

∙ 01/07/2021

Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification

Although deep convolutional neural networks (DCNNs) have achieved signif...

Shuwei Shen, et al. ∙

research

∙ 11/18/2020

CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement

We propose a new Generative Adversarial Network for Compressed Video qua...

Di Ma, et al. ∙

research

∙ 10/30/2020

Towards Understanding and Demystifying Bitcoin Mixing Services

The popularity of Bitcoin benefits a lot from its anonymity. However, th...

Lei Wu, et al. ∙

research

∙ 10/12/2020

Distributionally Robust Local Non-parametric Conditional Estimation

Conditional estimation given specific covariate values (i.e., local cond...

Viet Anh Nguyen, et al. ∙

research

∙ 10/03/2020

A simulation environment for drone cinematography

In this paper, we present a workflow for the simulation of drone operati...

Fan Zhang, et al. ∙

Fan Zhang

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