Jie Zhou

GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation

Segmentation of infected areas in chest CT volumes is of great significa...
10/19/2020 ∙ by Zhanwei Xu, et al. ∙ 0 ∙ share

read it
Robust Face Alignment by Multi-order High-precision Hourglass Network

Heatmap regression (HR) has become one of the mainstream approaches for ...
10/17/2020 ∙ by Jun Wan, et al. ∙ 0 ∙ share

read it
A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph

Generating a vivid, novel, and diverse essay with only several given top...
10/12/2020 ∙ by Lin Qiao, et al. ∙ 0 ∙ share

read it
MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection

As conventional answer selection (AS) methods generally match the questi...
10/10/2020 ∙ by Yingxue Zhang, et al. ∙ 0 ∙ share

read it
TurboTransformers: An Efficient GPU Serving System For Transformer Models

The transformer is the most critical algorithm innovation of the Nature ...
10/09/2020 ∙ by Jiarui Fang, et al. ∙ 0 ∙ share

read it
Token-level Adaptive Training for Neural Machine Translation

There exists a token imbalance phenomenon in natural language as differe...
10/09/2020 ∙ by Shuhao Gu, et al. ∙ 0 ∙ share

read it
Disentangle-based Continual Graph Representation Learning

Graph embedding (GE) methods embed nodes (and/or edges) in graph into a ...
10/06/2020 ∙ by Xiaoyu Kou, et al. ∙ 0 ∙ share

read it
Learning from Context or Names? An Empirical Study on Neural Relation Extraction

Neural models have achieved remarkable success on relation extraction (R...
10/05/2020 ∙ by Hao Peng, et al. ∙ 0 ∙ share

read it
WeChat Neural Machine Translation Systems for WMT20

We participate in the WMT 2020 shared news translation task on Chinese t...
10/01/2020 ∙ by Fandong Meng, et al. ∙ 33 ∙ share

read it
Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models

Several recent efforts have been devoted to enhancing pre-trained langua...
09/29/2020 ∙ by YuSheng Su, et al. ∙ 0 ∙ share

read it
A Survival Mediation Model with Bayesian Model Averaging

Determining the extent to which a patient is benefiting from cancer ther...
09/16/2020 ∙ by Jie Zhou, et al. ∙ 0 ∙ share

read it
Attention Cube Network for Image Restoration

Recently, deep convolutional neural network (CNN) have been widely used ...
09/13/2020 ∙ by Yucheng Hang, et al. ∙ 0 ∙ share

read it
Dynamic Context-guided Capsule Network for Multimodal Machine Translation

Multimodal machine translation (MMT), which mainly focuses on enhancing ...
09/04/2020 ∙ by Huan Lin, et al. ∙ 0 ∙ share

read it
Reinforced Axial Refinement Network for Monocular 3D Object Detection

Monocular 3D object detection aims to extract the 3D position and proper...
08/31/2020 ∙ by Lijie Liu, et al. ∙ 2 ∙ share

read it
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation

Knowledge Distillation (KD) has been one of the most popu-lar methods to...
08/27/2020 ∙ by Benlin Liu, et al. ∙ 0 ∙ share

read it
ICS-Assist: Intelligent Customer Inquiry Resolution Recommendation in Online Customer Service for Large E-Commerce Businesses

Efficient and appropriate online customer service is essential to large ...
08/22/2020 ∙ by Min Fu, et al. ∙ 0 ∙ share

read it
Modeling Inter-Aspect Dependencies with a Non-temporal Mechanism for Aspect-Based Sentiment Analysis

For multiple aspects scenario of aspect-based sentiment analysis (ABSA),...
08/12/2020 ∙ by Yunlong Liang, et al. ∙ 0 ∙ share

read it
Low-rank Tensor Bandits

In recent years, multi-dimensional online decision making has been playi...
07/31/2020 ∙ by Botao Hao, et al. ∙ 4 ∙ share

read it
ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation

This paper describes our system for SemEval-2020 Task 4: Commonsense Val...
07/28/2020 ∙ by Qian Zhao, et al. ∙ 0 ∙ share

read it
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation

Multi-modal neural machine translation (NMT) aims to translate source se...
07/17/2020 ∙ by Yongjing Yin, et al. ∙ 0 ∙ share

read it
Dual Past and Future for Neural Machine Translation

Though remarkable successes have been achieved by Neural Machine Transla...
07/15/2020 ∙ by Jianhao Yan, et al. ∙ 0 ∙ share

read it
Graph-Based Social Relation Reasoning

Human beings are fundamentally sociable – that we generally organize our...
07/15/2020 ∙ by Wanhua Li, et al. ∙ 0 ∙ share

read it
Adaptive Graph Encoder for Attributed Graph Embedding

Attributed graph embedding, which learns vector representations from gra...
07/03/2020 ∙ by Ganqu Cui, et al. ∙ 0 ∙ share

read it
Uncertainty-aware Score Distribution Learning for Action Quality Assessment

Assessing action quality from videos has attracted growing attention in ...
06/13/2020 ∙ by Yansong Tang, et al. ∙ 0 ∙ share

read it
Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation

Non-autoregressive neural machine translation (NAT) predicts the entire ...
06/09/2020 ∙ by Qiu Ran, et al. ∙ 0 ∙ share

read it
Semantics-Driven Unsupervised Learning for Monocular Depth and Ego-Motion Estimation

We propose a semantics-driven unsupervised learning approach for monocul...
06/08/2020 ∙ by Xiaobin Wei, et al. ∙ 0 ∙ share

read it
A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking

Recent studies in dialogue state tracking (DST) leverage historical info...
06/02/2020 ∙ by Yong Shan, et al. ∙ 0 ∙ share

read it
Latent Fingerprint Registration via Matching Densely Sampled Points

Latent fingerprint matching is a very important but unsolved problem. As...
05/12/2020 ∙ by Shan Gu, et al. ∙ 1 ∙ share

read it
Diversifying Dialogue Generation with Non-Conversational Text

Neural network-based sequence-to-sequence (seq2seq) models strongly suff...
05/09/2020 ∙ by Hui Su, et al. ∙ 0 ∙ share

read it
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence

The neural attention model has achieved great success in data-to-text ge...
05/03/2020 ∙ by Xiaoyu Shen, et al. ∙ 0 ∙ share

read it
KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion

Knowledge graphs (KGs) contains an instance-level entity graph and an on...
04/28/2020 ∙ by Jie Zhou, et al. ∙ 0 ∙ share

read it
MAVEN: A Massive General Domain Event Detection Dataset

Event detection (ED), which identifies event trigger words and classifie...
04/28/2020 ∙ by Xiaozhi Wang, et al. ∙ 0 ∙ share

read it
Explicitly Modeling Adaptive Depths for Transformer

The vanilla Transformer conducts a fixed number of computations over all...
04/27/2020 ∙ by Yijin Liu, et al. ∙ 0 ∙ share

read it
Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization

Recently, variational auto-encoder (VAE) based approaches have made impr...
04/26/2020 ∙ by Zeyang Lei, et al. ∙ 0 ∙ share

read it
Graph-based Kinship Reasoning Network

In this paper, we propose a graph-based kinship reasoning (GKR) network ...
04/22/2020 ∙ by Wanhua Li, et al. ∙ 0 ∙ share

read it
Learning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels

Static knowledge graph has been incorporated extensively into sequence-t...
04/21/2020 ∙ by Canxiang Yan, et al. ∙ 0 ∙ share

read it
Dense Registration and Mosaicking of Fingerprints by Training an End-to-End Network

Dense registration of fingerprints is a challenging task due to elastic ...
04/13/2020 ∙ by Zhe Cui, et al. ∙ 6 ∙ share

read it
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction

Relational facts are an important component of human knowledge, which ar...
04/07/2020 ∙ by Xu Han, et al. ∙ 0 ∙ share

read it
A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis

The aspect-based sentiment analysis (ABSA) task remains to be a long-sta...
04/04/2020 ∙ by Yunlong Liang, et al. ∙ 0 ∙ share

read it
An Iterative Knowledge Transfer Network with Routing for Aspect-based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) mainly involves three subtasks: a...
04/04/2020 ∙ by Yunlong Liang, et al. ∙ 0 ∙ share

read it
Structure-Preserving Super Resolution with Gradient Guidance

Structures matter in single image super resolution (SISR). Recent studie...
03/29/2020 ∙ by Cheng Ma, et al. ∙ 0 ∙ share

read it
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

read it
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds

Local and global patterns of an object are closely related. Although eac...
03/29/2020 ∙ by Yongming Rao, et al. ∙ 0 ∙ share

read it
Comprehensive Instructional Video Analysis: The COIN Dataset and Performance Evaluation

Thanks to the substantial and explosively inscreased instructional video...
03/20/2020 ∙ by Yansong Tang, et al. ∙ 0 ∙ share

read it
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

read it
Depth-Adaptive Graph Recurrent Network for Text Classification

The Sentence-State LSTM (S-LSTM) is a powerful and high efficient graph ...
02/29/2020 ∙ by Yijin Liu, et al. ∙ 0 ∙ share

read it
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

read it
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

read it
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

read it
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

read it

Jie Zhou

Featured Co-authors