Jie Zhou

Graph Neural Networks: A Review of Methods and Applications

Lots of learning tasks require dealing with graph data which contains ri...
12/20/2018 ∙ by Jie Zhou, et al. ∙ 62 ∙ share

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Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation

Recent works based on deep learning and facial priors have succeeded in ...
03/29/2020 ∙ by Cheng Ma, et al. ∙ 21 ∙ share

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Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View

Graph Neural Networks (GNNs) have achieved promising performance on a wi...
09/07/2019 ∙ by Deli Chen, et al. ∙ 17 ∙ share

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Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation

Non-Autoregressive Transformer (NAT) aims to accelerate the Transformer ...
06/22/2019 ∙ by Chenze Shao, et al. ∙ 1 ∙ share

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DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting

Predicting traffic conditions has been recently explored as a way to rel...
09/27/2017 ∙ by Xingyi Cheng, et al. ∙ 0 ∙ share

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Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification

This paper describes our solution for the video recognition task of Acti...
08/12/2017 ∙ by Yunlong Bian, et al. ∙ 0 ∙ share

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Temporal Modeling Approaches for Large-scale Youtube-8M Video Understanding

This paper describes our solution for the video recognition task of the ...
07/14/2017 ∙ by Fu Li, et al. ∙ 0 ∙ share

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Correlated and Individual Multi-Modal Deep Learning for RGB-D Object Recognition

In this paper, we propose a new correlated and individual multi-modal de...
04/06/2016 ∙ by Ziyan Wang, et al. ∙ 0 ∙ share

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AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem

This paper presents an improvement to model learning when using multi-cl...
10/18/2011 ∙ by Peng Sun, et al. ∙ 0 ∙ share

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Deep Neural Machine Translation with Linear Associative Unit

Deep Neural Networks (DNNs) have provably enhanced the state-of-the-art ...
05/02/2017 ∙ by Mingxuan Wang, et al. ∙ 0 ∙ share

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Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering

While question answering (QA) with neural network, i.e. neural QA, has a...
07/21/2016 ∙ by Peng Li, et al. ∙ 0 ∙ share

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Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation

Neural machine translation (NMT) aims at solving machine translation (MT...
06/14/2016 ∙ by Jie Zhou, et al. ∙ 0 ∙ share

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An Improved Evaluation Framework for Generative Adversarial Networks

In this paper, we propose an improved quantitative evaluation framework ...
03/20/2018 ∙ by Shaohui Liu, et al. ∙ 0 ∙ share

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COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis

There are substantial instructional videos on the Internet, which enable...
03/07/2019 ∙ by Yansong Tang, et al. ∙ 0 ∙ share

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Hardness-Aware Deep Metric Learning

This paper presents a hardness-aware deep metric learning (HDML) framewo...
03/13/2019 ∙ by Wenzhao Zheng, et al. ∙ 0 ∙ share

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FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds

3D object detection from raw and sparse point clouds has been far less t...
03/26/2019 ∙ by Jie Zhou, et al. ∙ 0 ∙ share

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Option Comparison Network for Multiple-choice Reading Comprehension

Multiple-choice reading comprehension (MCRC) is the task of selecting th...
03/07/2019 ∙ by Qiu Ran, et al. ∙ 0 ∙ share

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An end-to-end Neural Network Framework for Text Clustering

The unsupervised text clustering is one of the major tasks in natural la...
03/22/2019 ∙ by Jie Zhou, et al. ∙ 0 ∙ share

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BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation

Age estimation is an important yet very challenging problem in computer ...
04/06/2019 ∙ by Wanhua Li, et al. ∙ 0 ∙ share

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Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction

In this paper, we present a new perspective towards image-based shape ge...
04/14/2019 ∙ by Yi Wei, et al. ∙ 0 ∙ share

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Restricting Control Flow During Speculative Execution with Venkman

Side-channel attacks such as Spectre that utilize speculative execution ...
03/26/2019 ∙ by ZhuoJia Shen, et al. ∙ 0 ∙ share

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Deep Fitting Degree Scoring Network for Monocular 3D Object Detection

In this paper, we propose to learn a deep fitting degree scoring network...
04/26/2019 ∙ by Lijie Liu, et al. ∙ 0 ∙ share

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A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer

Unsupervised text style transfer aims to transfer the underlying style o...
05/24/2019 ∙ by Fuli Luo, et al. ∙ 0 ∙ share

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DocRED: A Large-Scale Document-Level Relation Extraction Dataset

Multiple entities in a document generally exhibit complex inter-sentence...
06/14/2019 ∙ by Yuan Yao, et al. ∙ 0 ∙ share

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GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling

Current state-of-the-art systems for sequence labeling are typically bas...
06/06/2019 ∙ by Yijin Liu, et al. ∙ 0 ∙ share

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Improving Multi-turn Dialogue Modelling with Utterance ReWriter

Recent research has made impressive progress in single-turn dialogue mod...
06/14/2019 ∙ by Hui Su, et al. ∙ 0 ∙ share

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A parallel-in-time multigrid solver with a new two-level convergence for two-dimensional unsteady fractional Laplacian problems

The multigrid-reduction-in-time (MGRIT) technique has proven to be succe...
06/17/2019 ∙ by Xiaoqiang Yue, et al. ∙ 0 ∙ share

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Incremental Transformer with Deliberation Decoder for Document Grounded Conversations

Document Grounded Conversations is a task to generate dialogue responses...
07/20/2019 ∙ by Zekang Li, et al. ∙ 0 ∙ share

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GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification

Fact verification (FV) is a challenging task which requires to retrieve ...
07/22/2019 ∙ by Jie Zhou, et al. ∙ 0 ∙ share

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Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation

Table-to-text generation aims to translate the structured data into the ...
08/08/2019 ∙ by Shuming Ma, et al. ∙ 0 ∙ share

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Unsupervised Paraphrasing by Simulated Annealing

Unsupervised paraphrase generation is a promising and important research...
09/09/2019 ∙ by Xianggen Liu, et al. ∙ 0 ∙ share

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A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis

Aspect based sentiment analysis (ABSA) aims to identify the sentiment po...
09/01/2019 ∙ by Yunlong Liang, et al. ∙ 0 ∙ share

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Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation

Context modeling is essential to generate coherent and consistent transl...
09/02/2019 ∙ by Zhengxin Yang, et al. ∙ 0 ∙ share

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CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding

Spoken Language Understanding (SLU) mainly involves two tasks, intent de...
09/16/2019 ∙ by Yijin Liu, et al. ∙ 0 ∙ share

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FewRel 2.0: Towards More Challenging Few-Shot Relation Classification

We present FewRel 2.0, a more challenging task to investigate two aspect...
10/16/2019 ∙ by Tianyu Gao, et al. ∙ 0 ∙ share

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NumNet: Machine Reading Comprehension with Numerical Reasoning

Numerical reasoning, such as addition, subtraction, sorting and counting...
10/15/2019 ∙ by Qiu Ran, et al. ∙ 0 ∙ share

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Semantic Graph Convolutional Network for Implicit Discourse Relation Classification

Implicit discourse relation classification is of great importance for di...
10/21/2019 ∙ by Yingxue Zhang, et al. ∙ 0 ∙ share

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Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information

Non-autoregressive neural machine translation (NAT) generates each targe...
11/06/2019 ∙ by Qiu Ran, et al. ∙ 0 ∙ share

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Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks

Semi-supervised learning is a widely used training framework for graph n...
11/10/2019 ∙ by Deli Chen, et al. ∙ 0 ∙ share

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Silhouette: Efficient Intra-Address Space Isolation for Protected Shadow Stacks on Embedded Systems

Embedded systems are increasingly deployed in devices that can have phys...
10/27/2019 ∙ by Jie Zhou, et al. ∙ 0 ∙ share

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Multi-Zone Unit for Recurrent Neural Networks

Recurrent neural networks (RNNs) have been widely used to deal with sequ...
11/17/2019 ∙ by Fandong Meng, et al. ∙ 0 ∙ share

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Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation

Non-Autoregressive Neural Machine Translation (NAT) achieves significant...
11/21/2019 ∙ by Chenze Shao, et al. ∙ 0 ∙ share

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P^2GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation

Humans are able to perform fast and accurate object pose estimation even...
12/19/2019 ∙ by Peiyu Yu, et al. ∙ 0 ∙ share

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Document Sub-structure in Neural Machine Translation

Current approaches to machine translation (MT) either translate sentence...
12/13/2019 ∙ by Radina Dobreva, et al. ∙ 0 ∙ share

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DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog

Visual Dialog is a vision-language task that requires an AI agent to eng...
12/18/2019 ∙ by Feilong Chen, et al. ∙ 0 ∙ share

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Hypothesis testing for populations of networks

It has become an increasingly common practice for scientists in modern s...
11/09/2019 ∙ by Li Chen, et al. ∙ 0 ∙ share

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SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor

Besides local features, global information plays an essential role in se...
01/24/2020 ∙ by Jiachen Xu, et al. ∙ 0 ∙ share

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Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog

Audio-Visual Scene-Aware Dialog (AVSD) is a task to generate responses w...
02/01/2020 ∙ by Zekang Li, et al. ∙ 0 ∙ share

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BiDet: An Efficient Binarized Object Detector

In this paper, we propose a binarized neural network learning method cal...
03/09/2020 ∙ by Ziwei Wang, et al. ∙ 0 ∙ share

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Partially Observed Dynamic Tensor Response Regression

In modern data science, dynamic tensor data is prevailing in numerous ap...
02/22/2020 ∙ by Jie Zhou, et al. ∙ 0 ∙ share

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Jie Zhou

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