b'Sheng Zhang'

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...

Shuaichen Chang, et al. ∙

research

∙ 12/21/2022

Continual Contrastive Finetuning Improves Low-Resource Relation Extraction

Relation extraction (RE), which has relied on structurally annotated cor...

Wenxuan Zhou, 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...

Yiyun Zhao, et al. ∙

research

∙ 12/11/2022

PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery

Although existing semi-supervised learning models achieve remarkable suc...

Sheng Zhang, et al. ∙

research

∙ 10/19/2022

BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining

Pre-trained language models have attracted increasing attention in the b...

Renqian Luo, 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...

Donghan Yu, et al. ∙

research

∙ 08/30/2022

Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning

We present an efficient bi-encoder framework for named entity recognitio...

Sheng Zhang, et al. ∙

research

∙ 07/23/2022

A Dual Accelerated Method for Online Stochastic Distributed Averaging: From Consensus to Decentralized Policy Evaluation

Motivated by decentralized sensing and policy evaluation problems, we co...

Sheng Zhang, et al. ∙

research

∙ 06/23/2022

Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles

Due to the pivotal role of Recommender Systems (RS) in guiding customers...

Chen Lin, 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...

Sheng Zhang, et al. ∙

research

∙ 05/10/2022

Client Selection and Bandwidth Allocation for Federated Learning: An Online Optimization Perspective

Federated learning (FL) can train a global model from clients' local dat...

Yun Ji, et al. ∙

research

∙ 05/08/2022

A Multi-User Effective Computation Offloading Mechanism for MEC System: Batched Multi-Armed Bandits Approach

With the development of 5G technology, mobile edge computing (MEC) is be...

Hangfan Li, et al. ∙

research

∙ 04/22/2022

Locally Aggregated Feature Attribution on Natural Language Model Understanding

With the growing popularity of deep-learning models, model understanding...

Sheng Zhang, et al. ∙

research

∙ 04/12/2022

Machine learning predictions for local electronic properties of disordered correlated electron systems

We present a scalable machine learning (ML) model to predict local elect...

Yi-Hsuan Liu, et al. ∙

research

∙ 03/16/2022

Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning

Large multilingual pretrained language models such as mBERT and XLM-RoBE...

Miryam de Lhoneux, et al. ∙

research

∙ 03/14/2022

FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing

We present a benchmark suite of four datasets for evaluating the fairnes...

Ilias Chalkidis, et al. ∙

research

∙ 03/12/2022

Distributed Community Detection in Large Networks

Community detection for large networks is a challenging task due to the ...

Sheng Zhang, et al. ∙

research

∙ 02/21/2022

Rule Mining over Knowledge Graphs via Reinforcement Learning

Knowledge graphs (KGs) are an important source repository for a wide ran...

Lihan Chen, et al. ∙

research

∙ 01/03/2022

Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems

We outline the general framework of machine learning (ML) methods for mu...

Puhan Zhang, et al. ∙

research

∙ 12/15/2021

Knowledge-Rich Self-Supervised Entity Linking

Entity linking faces significant challenges, such as prolific variations...

Sheng Zhang, et al. ∙

research

∙ 12/09/2021

DVHN: A Deep Hashing Framework for Large-scale Vehicle Re-identification

In this paper, we make the very first attempt to investigate the integra...

Yongbiao Chen, et al. ∙

research

∙ 11/27/2021

A Review on Graph Neural Network Methods in Financial Applications

Keeping the individual features and the complicated relations, graph dat...

Jianian Wang, et al. ∙

research

∙ 11/22/2021

Finding the Winning Ticket of BERT for Binary Text Classification via Adaptive Layer Truncation before Fine-tuning

In light of the success of transferring language models into NLP tasks, ...

Jing Fan, et al. ∙

research

∙ 09/11/2021

Modular Self-Supervision for Document-Level Relation Extraction

Extracting relations across large text spans has been relatively underex...

Sheng Zhang, et al. ∙

research

∙ 07/27/2021

Real-time Keypoints Detection for Autonomous Recovery of the Unmanned Ground Vehicle

The combination of a small unmanned ground vehicle (UGV) and a large unm...

Jie Li, et al. ∙

research

∙ 06/11/2021

DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning

Games are abstractions of the real world, where artificial agents learn ...

Daochen Zha, et al. ∙

research

∙ 05/27/2021

Anomalous phase separation and hidden coarsening of super-clusters in the Falicov-Kimball model

We show that the celebrated Falicov-Kimball model exhibits rich and intr...

Sheng Zhang, et al. ∙

research

∙ 05/27/2021

Pattern Transfer Learning for Reinforcement Learning in Order Dispatching

Order dispatch is one of the central problems to ride-sharing platforms....

Runzhe Wan, et al. ∙

research

∙ 05/05/2021

TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval

Deep hamming hashing has gained growing popularity in approximate neares...

Yongbiao Chen, et al. ∙

research

∙ 04/12/2021

Joint Universal Syntactic and Semantic Parsing

While numerous attempts have been made to jointly parse syntax and seman...

Elias Stengel-Eskin, et al. ∙

research

∙ 02/11/2021

L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation

Coarse-to-fine models and cascade segmentation architectures are widely ...

Jiahao Xie, et al. ∙

research

∙ 10/19/2020

Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning

Open attribute value extraction for emerging entities is an important bu...

Ye Liu, et al. ∙

research

∙ 09/23/2020

Worst-Case-Aware Curriculum Learning for Zero and Few Shot Transfer

Multi-task transfer learning based on pre-trained language encoders achi...

Sheng Zhang, et al. ∙

research

∙ 09/03/2020

Augmented Gaussian Random Field: Theory and Computation

We provide a rigorous theoretical foundation for incorporating data of o...

Sheng Zhang, et al. ∙

research

∙ 05/12/2020

DeepFaceLab: A simple, flexible and extensible face swapping framework

DeepFaceLab is an open-source deepfake system created by iperov for face...

Ivan Perov, et al. ∙

research

∙ 01/05/2020

Error Model of Radio Fingerprint and PDR Fusion Indoor Localization

Multi-source fusion positioning is one of the technical frameworks for o...

Haojun Ai, et al. ∙

research

∙ 10/22/2019

Transductive Parsing for Universal Decompositional Semantics

We introduce a transductive model for parsing into Universal Decompositi...

Elias Stengel-Eskin, et al. ∙

research

∙ 09/30/2019

The Universal Decompositional Semantics Dataset and Decomp Toolkit

We present the Universal Decompositional Semantics (UDS) dataset (v1.0),...

Aaron Steven White, et al. ∙

research

∙ 09/05/2019

Broad-Coverage Semantic Parsing as Transduction

We unify different broad-coverage semantic parsing tasks under a transdu...

Sheng Zhang, et al. ∙

research

∙ 07/17/2019

Robust subsampling-based sparse Bayesian inference to tackle four challenges (large noise, outliers, data integration, and extrapolation) in the discovery of physical laws from

The derivation of physical laws is a dominant topic in scientific resear...

Sheng Zhang, et al. ∙

research

∙ 07/17/2019

Robust data-driven discovery of governing physical laws using a new subsampling-based sparse Bayesian method to tackle four challenges (large noise, outliers, data integration,

The derivation of physical laws is a dominant topic in scientific resear...

Sheng Zhang, et al. ∙

research

∙ 07/02/2019

Neural Machine Reading Comprehension: Methods and Trends

Machine Reading Comprehension (MRC), which requires the machine to answe...

Shanshan Liu, et al. ∙

research

∙ 06/06/2019

Omnidirectional Scene Text Detection with Sequential-free Box Discretization

Scene text in the wild is commonly presented with high variant character...

Yuliang Liu, et al. ∙

research

∙ 05/27/2019

Finite-Time Analysis of Q-Learning with Linear Function Approximation

In this paper, we consider the model-free reinforcement learning problem...

Zaiwei Chen, et al. ∙

research

∙ 05/21/2019

AMR Parsing as Sequence-to-Graph Transduction

We propose an attention-based model that treats AMR parsing as sequence-...

Sheng Zhang, et al. ∙

research

∙ 04/03/2019

Unsupervised Deep Structured Semantic Models for Commonsense Reasoning

Commonsense reasoning is fundamental to natural language understanding. ...

Shuohang Wang, et al. ∙

research

∙ 11/20/2018

Learning to Detect Instantaneous Changes with Retrospective Convolution and Static Sample Synthesis

Change detection has been a challenging visual task due to the dynamic n...

Chao Chen, et al. ∙

research

∙ 10/30/2018

ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension

We present a large-scale dataset, ReCoRD, for machine reading comprehens...

Sheng Zhang, et al. ∙

research

∙ 05/21/2018

Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction

Cross-lingual information extraction (CLIE) is an important and challeng...

Hongyuan Mei, et al. ∙

research

∙ 04/21/2018

Cross-lingual Semantic Parsing

We introduce the task of cross-lingual semantic parsing: mapping content...

Sheng Zhang, et al. ∙

Sheng Zhang

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