Yue Zhang

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Dalian University of Technology ∙ Binghamton University ∙ ETH Zurich ∙ Georgia Institute of Technology ∙ Indiana University ∙ Case Western Reserve University, ∙ Singapore University of Technology and Design ∙ Beijing Institute of Technology ∙ NetEase, Inc

Assistant professor at Singapore University of Technology and Design (SUTD) since 2012, Postdoctoral research associate at University of Cambridgec from 2010-2012, Systems programmer at Abling Group Ltd. from 2003-2005

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing

Various robustness evaluation methodologies from different perspectives ...
03/21/2021 ∙ by Tao Gui, et al. ∙ 20 ∙ share

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Structural Adapters in Pretrained Language Models for AMR-to-text Generation

Previous work on text generation from graph-structured data relies on pr...
03/16/2021 ∙ by Leonardo F. R. Ribeiro, et al. ∙ 0 ∙ share

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Constrained Text Generation with Global Guidance – Case Study on CommonGen

This paper studies constrained text generation, which is to generate sen...
03/12/2021 ∙ by Yixian Liu, et al. ∙ 0 ∙ share

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PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images

In this paper, we propose a phase attention residual network (PA-ResSeg)...
02/27/2021 ∙ by Yingying Xu, et al. ∙ 0 ∙ share

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DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning

Thermal power generation plays a dominant role in the world's electricit...
02/23/2021 ∙ by Xianyuan Zhan, et al. ∙ 0 ∙ share

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A GAN-Based Input-Size Flexibility Model for Single Image Dehazing

Image-to-image translation based on generative adversarial network (GAN)...
02/19/2021 ∙ by Shichao Kan, et al. ∙ 2 ∙ share

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Structural Information Preserving for Graph-to-Text Generation

The task of graph-to-text generation aims at producing sentences that pr...
02/12/2021 ∙ by Linfeng Song, et al. ∙ 0 ∙ share

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Contextualized Rewriting for Text Summarization

Extractive summarization suffers from irrelevance, redundancy and incohe...
01/31/2021 ∙ by Guangsheng Bao, et al. ∙ 0 ∙ share

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SemGloVe: Semantic Co-occurrences for GloVe from BERT

GloVe learns word embeddings by leveraging statistical information from ...
12/30/2020 ∙ by Leilei Gan, et al. ∙ 0 ∙ share

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Natural Language Inference in Context – Investigating Contextual Reasoning over Long Texts

Natural language inference (NLI) is a fundamental NLP task, investigatin...
11/10/2020 ∙ by Hanmeng Liu, et al. ∙ 0 ∙ share

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Layer-Wise Multi-View Learning for Neural Machine Translation

Traditional neural machine translation is limited to the topmost encoder...
11/03/2020 ∙ by Qiang Wang, et al. ∙ 0 ∙ share

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A Lane-Changing Prediction Method Based on Temporal Convolution Network

Lane-changing is an important driving behavior and unreasonable lane cha...
11/01/2020 ∙ by Yue Zhang, et al. ∙ 0 ∙ share

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Coarse-to-Fine Pre-training for Named Entity Recognition

More recently, Named Entity Recognition hasachieved great advances aided...
10/16/2020 ∙ by Mengge Xue, et al. ∙ 0 ∙ share

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Does Chinese BERT Encode Word Structure?

Contextualized representations give significantly improved results for a...
10/15/2020 ∙ by Yile Wang, et al. ∙ 0 ∙ share

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Online Back-Parsing for AMR-to-Text Generation

AMR-to-text generation aims to recover a text containing the same meanin...
10/09/2020 ∙ by Xuefeng Bai, et al. ∙ 0 ∙ share

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Mode Surfaces of Symmetric Tensor Fields: Topological Analysis and Seamless Extraction

Mode surfaces are the generalization of degenerate curves and neutral su...
09/09/2020 ∙ by Botong Qu, et al. ∙ 0 ∙ share

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Dyadic Speech-based Affect Recognition using DAMI-P2C Parent-child Multimodal Interaction Dataset

Automatic speech-based affect recognition of individuals in dyadic conve...
08/20/2020 ∙ by Huili Chen, et al. ∙ 0 ∙ share

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Commonsense Knowledge Graph Reasoning by Selection or Generation? Why?

Commonsense knowledge graph reasoning(CKGR) is the task of predicting a ...
08/13/2020 ∙ by Cunxiang Wang, et al. ∙ 19 ∙ share

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Dialogue State Induction Using Neural Latent Variable Models

Dialogue state modules are a useful component in a task-oriented dialogu...
08/13/2020 ∙ by Qingkai Min, et al. ∙ 0 ∙ share

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Does BERT Solve Commonsense Task via Commonsense Knowledge?

The success of pre-trained contextualized language models such as BERT m...
08/10/2020 ∙ by Leyang Cui, et al. ∙ 0 ∙ share

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openXDATA: A Tool for Multi-Target Data Generation and Missing Label Completion

A common problem in machine learning is to deal with datasets with disjo...
07/27/2020 ∙ by Felix Weninger, et al. ∙ 0 ∙ share

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On Manually Reverse Engineering Communication Protocols of Linux Based IoT Systems

IoT security and privacy has raised grave concerns. Efforts have been ma...
07/23/2020 ∙ by Kaizheng Liu, et al. ∙ 0 ∙ share

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LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

Machine reading is a fundamental task for testing the capability of natu...
07/16/2020 ∙ by Jian Liu, et al. ∙ 0 ∙ share

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Absentee and Economic Impact of Low-Level Fine Particulate Matter and Ozone Exposure in K-12 Students

High air pollution levels are associated with school absences. However, ...
07/16/2020 ∙ by Daniel L. Mendoza, et al. ∙ 0 ∙ share

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Understanding the Relationship between Social Distancing Policies, Traffic Volume, Air Quality, and the Prevalence of COVID-19 Outcomes in Urban Neighborhoods

In response to the COVID-19 pandemic, governments have implemented polic...
07/16/2020 ∙ by Daniel L. Mendoza, et al. ∙ 0 ∙ share

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Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset

We present Covidex, a search engine that exploits the latest neural rank...
07/14/2020 ∙ by Edwin Zhang, et al. ∙ 0 ∙ share

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On Runtime Software Security of TrustZone-M based IoT Devices

Internet of Things (IoT) devices have been increasingly integrated into ...
07/12/2020 ∙ by Lan Luo, et al. ∙ 0 ∙ share

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Design Space Exploration of Power Delivery For Advanced Packaging Technologies

In this paper, a design space exploration of power delivery networks is ...
07/10/2020 ∙ by Md Obaidul Hossen, et al. ∙ 0 ∙ share

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Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences

In this paper, we propose a new task of machine translation (MT), which ...
07/06/2020 ∙ by Xiangyu Duan, et al. ∙ 0 ∙ share

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SemEval-2020 Task 4: Commonsense Validation and Explanation

In this paper, we present SemEval-2020 Task 4, Commonsense Validation an...
07/01/2020 ∙ by Cunxiang Wang, et al. ∙ 0 ∙ share

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CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP

Multi-lingual contextualized embeddings, such as multilingual-BERT (mBER...
06/11/2020 ∙ by Libo Qin, et al. ∙ 0 ∙ share

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RelEx: A Model-Agnostic Relational Model Explainer

In recent years, considerable progress has been made on improving the in...
05/30/2020 ∙ by Yue Zhang, et al. ∙ 16 ∙ share

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DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks

Deep Learning (DL) techniques allow ones to train models from a dataset ...
05/16/2020 ∙ by Hongwei Huang, et al. ∙ 4 ∙ share

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DRTS Parsing with Structure-Aware Encoding and Decoding

Discourse representation tree structure (DRTS) parsing is a novel semant...
05/14/2020 ∙ by Qiankun Fu, et al. ∙ 0 ∙ share

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Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach

It is commonly believed that knowledge of syntactic structure should imp...
05/12/2020 ∙ by Wenyu Du, et al. ∙ 0 ∙ share

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Multi-Domain Spoken Language Understanding Using Domain- and Task-Aware Parameterization

Spoken language understanding has been addressed as a supervised learnin...
04/30/2020 ∙ by Libo Qin, et al. ∙ 0 ∙ share

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Multiscale Collaborative Deep Models for Neural Machine Translation

Recent evidence reveals that Neural Machine Translation (NMT) models wit...
04/29/2020 ∙ by Xiangpeng Wei, et al. ∙ 0 ∙ share

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Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog

Recent studies have shown remarkable success in end-to-end task-oriented...
04/23/2020 ∙ by Libo Qin, et al. ∙ 0 ∙ share

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MuTual: A Dataset for Multi-Turn Dialogue Reasoning

Non-task oriented dialogue systems have achieved great success in recent...
04/09/2020 ∙ by Leyang Cui, et al. ∙ 0 ∙ share

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News-Driven Stock Prediction With Attention-Based Noisy Recurrent State Transition

We consider direct modeling of underlying stock value movement sequences...
04/04/2020 ∙ by Xiao Liu, et al. ∙ 0 ∙ share

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Peripheral-free Device Pairing by Randomly Switching Power

The popularity of Internet-of-Things (IoT) comes with security concerns....
02/26/2020 ∙ by Zhijian Shao, et al. ∙ 0 ∙ share

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Exploiting Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network

Targeted sentiment classification predicts the sentiment polarity on giv...
02/22/2020 ∙ by Xuefeng Bai, et al. ∙ 0 ∙ share

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Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors

The mixed membership stochastic blockmodel (MMSB) is a popular framework...
02/21/2020 ∙ by Yue Zhang, et al. ∙ 0 ∙ share

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Learning Fairness-aware Relational Structures

The development of fair machine learning models that effectively avert b...
02/21/2020 ∙ by Yue Zhang, et al. ∙ 0 ∙ share

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Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs

Recent graph-to-text models generate text from graph-based data using ei...
01/29/2020 ∙ by Leonardo F. R. Ribeiro, et al. ∙ 0 ∙ share

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SecEL: Privacy-Preserving, Verifiable and Fault-Tolerant Edge Learning for Autonomous Vehicles

Mobile edge computing (MEC) is an emerging technology to transform the c...
01/27/2020 ∙ by Jiasi Weng, et al. ∙ 0 ∙ share

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Oriented Objects as pairs of Middle Lines

The detection of oriented objects is frequently appeared in the field of...
12/23/2019 ∙ by Haoran Wei, et al. ∙ 2 ∙ share

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Evaluating Commonsense in Pre-trained Language Models

Contextualized representations trained over large raw text data have giv...
11/27/2019 ∙ by Xuhui Zhou, et al. ∙ 0 ∙ share

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Leveraging Dependency Forest for Neural Medical Relation Extraction

Medical relation extraction discovers relations between entity mentions ...
11/11/2019 ∙ by Linfeng Song, et al. ∙ 0 ∙ share

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Using Dynamic Embeddings to Improve Static Embeddings

How to build high-quality word embeddings is a fundamental research ques...
11/07/2019 ∙ by Yile Wang, et al. ∙ 0 ∙ share

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Yue Zhang

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