b'Zhiguo Wang'

research

∙ 05/30/2023

Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge

The open-ended Visual Question Answering (VQA) task requires AI models t...

0 XingYu Fu, et al. ∙

research

∙ 05/27/2023

Benchmarking Diverse-Modal Entity Linking with Generative Models

Entities can be expressed in diverse formats, such as texts, images, or ...

0 Sijia Wang, et al. ∙

research

∙ 05/25/2023

UNITE: A Unified Benchmark for Text-to-SQL Evaluation

A practical text-to-SQL system should generalize well on a wide variety ...

0 Wuwei Lan, et al. ∙

research

∙ 01/21/2023

Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness

Neural text-to-SQL models have achieved remarkable performance in transl...

0 Shuaichen Chang, et al. ∙

research

∙ 12/17/2022

Importance of Synthesizing High-quality Data for Text-to-SQL Parsing

Recently, there has been increasing interest in synthesizing data to imp...

0 Yiyun Zhao, et al. ∙

research

∙ 12/03/2022

Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework

As a novel distributed learning paradigm, federated learning (FL) faces ...

0 Shuai Wang, et al. ∙

research

∙ 11/09/2022

Nonlinear Set Membership Filter with State Estimation Constraints via Consensus-ADMM

This paper considers the state estimation problem for nonlinear dynamic ...

0 Xiaowei Li, et al. ∙

research

∙ 09/30/2022

DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases

Question answering over knowledge bases (KBs) aims to answer natural lan...

7 Donghan Yu, et al. ∙

research

∙ 09/28/2022

Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding

Most recent research on Text-to-SQL semantic parsing relies on either pa...

24 Jun Wang, et al. ∙

research

∙ 06/10/2022

REKnow: Enhanced Knowledge for Joint Entity and Relation Extraction

Relation extraction is an important but challenging task that aims to ex...

0 Sheng Zhang, et al. ∙

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...

0 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...

0 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...

6 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 ...

0 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...

0 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...

0 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...

0 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...

0 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...

10 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...

0 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...

0 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 ...

0 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...

0 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...

15 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...

10 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...

0 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 ...

0 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...

0 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...

6 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...

0 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...

0 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...

11 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...

0 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...

0 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 ...

16 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...

0 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,...

0 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...

0 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....

6 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 ...

0 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...

0 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...

0 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...

0 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...

0 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 ...

0 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...

0 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...

0 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...

0 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...

0 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 ...

0 Haitao Mi, et al. ∙

Zhiguo Wang

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