b'Zhiguo Wang'

research

∙ 03/29/2022

An Unbiased Symmetric Matrix Estimator for Topology Inference under Partial Observability

Network topology inference is a fundamental problem in many applications...

Yupeng Chen, et al. ∙

research

∙ 11/27/2021

Towards Understanding the Impact of Model Size on Differential Private Classification

Differential privacy (DP) is an essential technique for privacy-preservi...

Yinchen Shen, et al. ∙

research

∙ 10/29/2021

Federated Semi-Supervised Learning with Class Distribution Mismatch

Many existing federated learning (FL) algorithms are designed for superv...

Zhiguo Wang, et al. ∙

research

∙ 08/05/2021

Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering

The current state-of-the-art generative models for open-domain question ...

Alexander Hanbo Li, et al. ∙

research

∙ 06/17/2021

End-to-End Cross-Domain Text-to-SQL Semantic Parsing with Auxiliary Task

In this work, we focus on two crucial components in the cross-domain tex...

Peng Shi, et al. ∙

research

∙ 05/10/2021

Improving Factual Consistency of Abstractive Summarization via Question Answering

A commonly observed problem with the state-of-the art abstractive summar...

Feng Nan, et al. ∙

research

∙ 05/04/2021

Randomized Multiple Model Multiple Hypothesis Tracking

This paper considers the data association problem for multi-target track...

Haiqi Liu, et al. ∙

research

∙ 02/18/2021

Entity-level Factual Consistency of Abstractive Text Summarization

A key challenge for abstractive summarization is ensuring factual consis...

Feng Nan, et al. ∙

research

∙ 12/18/2020

Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

Most recently, there has been significant interest in learning contextua...

Peng Shi, et al. ∙

research

∙ 11/26/2020

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction

In open-domain question answering, questions are highly likely to be amb...

Yifan Gao, et al. ∙

research

∙ 11/10/2020

Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems

While many distributed optimization algorithms have been proposed for so...

Zhiguo Wang, et al. ∙

research

∙ 10/12/2020

End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems

We propose an end-to-end approach for synthetic QA data generation. Our ...

Siamak Shakeri, et al. ∙

research

∙ 06/10/2020

Hybrid Tree-based Models for Insurance Claims

Two-part models and Tweedie generalized linear models (GLMs) have been u...

Zhiyu Quan, et al. ∙

research

∙ 06/07/2020

Optimally Combining Classifiers for Semi-Supervised Learning

This paper considers semi-supervised learning for tabular data. It is wi...

Zhiguo Wang, et al. ∙

research

∙ 05/24/2020

Master-Auxiliary: an efficient aggregation strategy for video anomaly detection

The aim of surveillance video anomaly detection is to detect events that...

Zhiguo Wang, et al. ∙

research

∙ 04/24/2020

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering

Question Answering (QA) is in increasing demand as the amount of informa...

Alexander R. Fabbri, et al. ∙

research

∙ 02/24/2020

Triplet Online Instance Matching Loss for Person Re-identification

Mining the shared features of same identity in different scene, and the ...

Ye Li, et al. ∙

research

∙ 11/25/2019

Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer

Conversation structure is useful for both understanding the nature of co...

Henghui Zhu, et al. ∙

research

∙ 11/19/2019

A Boost Strategy to the Generative Error Based Video Anomaly Detection Algorithms

The generation error (GE) based algorithms show excellent performances i...

Zhiguo Wang, et al. ∙

research

∙ 11/17/2019

Multiple-Source Ellipsoidal Localization Using Acoustic Energy Measurements

In this paper, the multiple-source ellipsoidal localization problem base...

Fanqin Meng, et al. ∙

research

∙ 10/17/2019

Universal Text Representation from BERT: An Empirical Study

We present a systematic investigation of layer-wise BERT activations for...

Xiaofei Ma, et al. ∙

research

∙ 08/22/2019

Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering

BERT model has been successfully applied to open-domain QA tasks. Howeve...

Zhiguo Wang, et al. ∙

research

∙ 07/19/2019

Multi-Granular Text Encoding for Self-Explaining Categorization

Self-explaining text categorization requires a classifier to make a pred...

Zhiguo Wang, et al. ∙

research

∙ 05/28/2019

Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network

Previous cross-lingual knowledge graph (KG) alignment studies rely on en...

Kun Xu, et al. ∙

research

∙ 02/19/2019

Semantic Neural Machine Translation using AMR

It is intuitive that semantic representations can be useful for machine ...

Linfeng Song, et al. ∙

research

∙ 09/14/2018

SQL-to-Text Generation with Graph-to-Sequence Model

Previous work approaches the SQL-to-text generation task using vanilla S...

Kun Xu, et al. ∙

research

∙ 09/06/2018

Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks

Multi-hop reading comprehension focuses on one type of factoid question,...

Linfeng Song, et al. ∙

research

∙ 08/28/2018

N-ary Relation Extraction using Graph State LSTM

Cross-sentence n-ary relation extraction detects relations among n entit...

Linfeng Song, et al. ∙

research

∙ 08/23/2018

Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model

Existing neural semantic parsers mainly utilize a sequence encoder, i.e....

Kun Xu, et al. ∙

research

∙ 05/07/2018

A Graph-to-Sequence Model for AMR-to-Text Generation

The problem of AMR-to-text generation is to recover a text representing ...

Linfeng Song, et al. ∙

research

∙ 04/03/2018

Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks

Celebrated Sequence to Sequence learning (Seq2Seq) and its fruitful vari...

Kun Xu, et al. ∙

research

∙ 03/01/2018

Knowledge Base Relation Detection via Multi-View Matching

Relation detection is a core component for Knowledge Base Question Answe...

Yang Yu, et al. ∙

research

∙ 11/14/2017

Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering

A popular recent approach to answering open-domain questions is to first...

Shuohang Wang, et al. ∙

research

∙ 09/04/2017

A Unified Query-based Generative Model for Question Generation and Question Answering

We propose a query-based generative model for solving both tasks of ques...

Linfeng Song, et al. ∙

research

∙ 08/31/2017

R^3: Reinforced Reader-Ranker for Open-Domain Question Answering

In recent years researchers have achieved considerable success applying ...

Shuohang Wang, et al. ∙

research

∙ 08/25/2017

k-Nearest Neighbor Augmented Neural Networks for Text Classification

In recent years, many deep-learning based models are proposed for text c...

Zhiguo Wang, et al. ∙

research

∙ 02/13/2017

Bilateral Multi-Perspective Matching for Natural Language Sentences

Natural language sentence matching is a fundamental technology for a var...

Zhiguo Wang, et al. ∙

research

∙ 02/01/2017

AMR-to-text Generation with Synchronous Node Replacement Grammar

This paper addresses the task of AMR-to-text generation by leveraging sy...

Linfeng Song, et al. ∙

research

∙ 12/13/2016

Multi-Perspective Context Matching for Machine Comprehension

Previous machine comprehension (MC) datasets are either too small to tra...

Zhiguo Wang, et al. ∙

research

∙ 07/30/2016

Supervised Attentions for Neural Machine Translation

In this paper, we improve the attention or alignment accuracy of neural ...

Haitao Mi, et al. ∙

research

∙ 06/17/2016

Sense Embedding Learning for Word Sense Induction

Conventional word sense induction (WSI) methods usually represent each i...

Linfeng Song, et al. ∙

research

∙ 05/10/2016

Vocabulary Manipulation for Neural Machine Translation

In order to capture rich language phenomena, neural machine translation ...

Haitao Mi, et al. ∙

research

∙ 05/10/2016

Coverage Embedding Models for Neural Machine Translation

In this paper, we enhance the attention-based neural machine translation...

Haitao Mi, et al. ∙

research

∙ 02/23/2016

Sentence Similarity Learning by Lexical Decomposition and Composition

Most conventional sentence similarity methods only focus on similar part...

Zhiguo Wang, et al. ∙

research

∙ 02/22/2016

Semi-supervised Clustering for Short Text via Deep Representation Learning

In this work, we propose a semi-supervised method for short text cluster...

Zhiguo Wang, et al. ∙

research

∙ 07/09/2015

FAQ-based Question Answering via Word Alignment

In this paper, we propose a novel word-alignment-based method to solve t...

Zhiguo Wang, et al. ∙

research

∙ 07/22/2013

Using a Dynamic Neural Field Model to Explore a Direct Collicular Inhibition Account of Inhibition of Return

When the interval between a transient ash of light (a "cue") and a secon...

Jason Satel, et al. ∙

Zhiguo Wang

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