Hang Li

AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization

Pre-trained language models such as BERT have exhibited remarkable perfo...
08/27/2020 ∙ by Xinsong Zhang, et al. ∙ 0 ∙ share

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Superpixel-Guided Label Softening for Medical Image Segmentation

Segmentation of objects of interest is one of the central tasks in medic...
07/17/2020 ∙ by Hang Li, et al. ∙ 18 ∙ share

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Scene Graph Reasoning for Visual Question Answering

Visual question answering is concerned with answering free-form question...
07/02/2020 ∙ by Marcel Hildebrandt, et al. ∙ 0 ∙ share

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Fact-based Text Editing

We propose a novel text editing task, referred to as fact-based text edi...
07/02/2020 ∙ by Hayate Iso, et al. ∙ 0 ∙ share

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Feature Statistics Guided Efficient Filter Pruning

Building compact convolutional neural networks (CNNs) with reliable perf...
05/21/2020 ∙ by Hang Li, et al. ∙ 0 ∙ share

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Siamese Neural Networks for Class Activity Detection

Classroom activity detection (CAD) aims at accurately recognizing speake...
05/15/2020 ∙ by Hang Li, et al. ∙ 0 ∙ share

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Spelling Error Correction with Soft-Masked BERT

Spelling error correction is an important yet challenging task because a...
05/15/2020 ∙ by Shaohua Zhang, et al. ∙ 0 ∙ share

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Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach

With the rapid emergence of K-12 online learning platforms, a new era of...
03/21/2020 ∙ by Hang Li, et al. ∙ 0 ∙ share

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A Freeform Dielectric Metasurface Modeling Approach Based on Deep Neural Networks

Metasurfaces have shown promising potentials in shaping optical wavefron...
01/01/2020 ∙ by Sensong An, et al. ∙ 0 ∙ share

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Optimal Design of Experiments on Riemannian Manifolds

Traditional optimal design of experiment theory is developed on Euclidea...
11/06/2019 ∙ by Hang Li, et al. ∙ 0 ∙ share

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Multimodal Learning For Classroom Activity Detection

Classroom activity detection (CAD) focuses on accurately classifying whe...
10/22/2019 ∙ by Hang Li, et al. ∙ 0 ∙ share

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A Multimodal Alerting System for Online Class Quality Assurance

Online 1 on 1 class is created for more personalized learning experience...
09/01/2019 ∙ by Jiahao Chen, et al. ∙ 0 ∙ share

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Generative Multi-Functional Meta-Atom and Metasurface Design Networks

Metasurfaces are being widely investigated and adopted for their promisi...
08/13/2019 ∙ by Sensong An, et al. ∙ 0 ∙ share

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A Novel Modeling Approach for All-Dielectric Metasurfaces Using Deep Neural Networks

Metasurfaces have become a promising means for manipulating optical wave...
06/08/2019 ∙ by Sensong An, et al. ∙ 0 ∙ share

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Toward Building Conversational Recommender Systems: A Contextual Bandit Approach

Contextual bandit algorithms have gained increasing popularity in recomm...
06/04/2019 ∙ by Xiaoying Zhang, et al. ∙ 0 ∙ share

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Partial Selection for Successive Cancellation List Decoding of Polar Codes

Polar codes have attracted a lot of attention during past few years and ...
12/14/2018 ∙ by Liang Ma, et al. ∙ 0 ∙ share

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Word Embedding based Edit Distance

Text similarity calculation is a fundamental problem in natural language...
10/25/2018 ∙ by Yilin Niu, et al. ∙ 0 ∙ share

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A Novel Algorithm for Unbiased Learning to Rank

Although click data is widely used in search systems in practice, so far...
09/16/2018 ∙ by Ziniu Hu, et al. ∙ 0 ∙ share

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Supervised and Semi-Supervised Deep Neural Networks for CSI-Based Authentication

From the viewpoint of physical-layer authentication, spoofing attacks ca...
07/25/2018 ∙ by Qian Wang, et al. ∙ 0 ∙ share

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Reinforcement Learning based Multi-Access Control and Battery Prediction with Energy Harvesting in IoT Systems

Energy harvesting (EH) is a promising technique to fulfill the long-term...
05/11/2018 ∙ by Man Chu, et al. ∙ 0 ∙ share

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Paraphrase Generation with Deep Reinforcement Learning

Automatic generation of paraphrases for a given sentence is an important...
11/01/2017 ∙ by Zichao Li, et al. ∙ 0 ∙ share

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Chunk-Based Bi-Scale Decoder for Neural Machine Translation

In typical neural machine translation (NMT), the decoder generates a sen...
05/03/2017 ∙ by Hao Zhou, et al. ∙ 0 ∙ share

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Deep Active Learning for Dialogue Generation

We propose an online, end-to-end, neural generative conversational model...
12/12/2016 ∙ by Nabiha Asghar, et al. ∙ 0 ∙ share

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Coupling Distributed and Symbolic Execution for Natural Language Queries

Building neural networks to query a knowledge base (a table) with natura...
12/08/2016 ∙ by Lili Mou, et al. ∙ 0 ∙ share

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Neural Machine Translation with Reconstruction

Although end-to-end Neural Machine Translation (NMT) has achieved remark...
11/07/2016 ∙ by Zhaopeng Tu, et al. ∙ 0 ∙ share

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Neural Machine Translation Advised by Statistical Machine Translation

Neural Machine Translation (NMT) is a new approach to machine translatio...
10/17/2016 ∙ by Xing Wang, et al. ∙ 0 ∙ share

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Interactive Attention for Neural Machine Translation

Conventional attention-based Neural Machine Translation (NMT) conducts d...
10/17/2016 ∙ by Fandong Meng, et al. ∙ 0 ∙ share

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Context Gates for Neural Machine Translation

In neural machine translation (NMT), generation of a target word depends...
08/22/2016 ∙ by Zhaopeng Tu, et al. ∙ 0 ∙ share

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Memory-enhanced Decoder for Neural Machine Translation

We propose to enhance the RNN decoder in a neural machine translator (NM...
06/07/2016 ∙ by Mingxuan Wang, et al. ∙ 0 ∙ share

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Neural Machine Translation with External Phrase Memory

In this paper, we propose phraseNet, a neural machine translator with a ...
06/06/2016 ∙ by Yaohua Tang, et al. ∙ 0 ∙ share

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A Novel Approach to Dropped Pronoun Translation

Dropped Pronouns (DP) in which pronouns are frequently dropped in the so...
04/21/2016 ∙ by Longyue Wang, et al. ∙ 0 ∙ share

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Incorporating Copying Mechanism in Sequence-to-Sequence Learning

We address an important problem in sequence-to-sequence (Seq2Seq) learni...
03/21/2016 ∙ by Jiatao Gu, et al. ∙ 0 ∙ share

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Modeling Coverage for Neural Machine Translation

Attention mechanism has enhanced state-of-the-art Neural Machine Transla...
01/19/2016 ∙ by Zhaopeng Tu, et al. ∙ 0 ∙ share

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Neural Generative Question Answering

This paper presents an end-to-end neural network model, named Neural Gen...
12/04/2015 ∙ by Jun Yin, et al. ∙ 0 ∙ share

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Neural Enquirer: Learning to Query Tables with Natural Language

We proposed Neural Enquirer as a neural network architecture to execute ...
12/03/2015 ∙ by Pengcheng Yin, et al. ∙ 0 ∙ share

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Towards Neural Network-based Reasoning

We propose Neural Reasoner, a framework for neural network-based reasoni...
08/22/2015 ∙ by Baolin Peng, et al. ∙ 0 ∙ share

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A Deep Memory-based Architecture for Sequence-to-Sequence Learning

We propose DEEPMEMORY, a novel deep architecture for sequence-to-sequenc...
06/22/2015 ∙ by Fandong Meng, et al. ∙ 0 ∙ share

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Learning to Answer Questions From Image Using Convolutional Neural Network

In this paper, we propose to employ the convolutional neural network (CN...
06/01/2015 ∙ by Lin Ma, et al. ∙ 0 ∙ share

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Reader-Aware Multi-Document Summarization via Sparse Coding

We propose a new MDS paradigm called reader-aware multi-document summari...
04/28/2015 ∙ by Piji Li, et al. ∙ 0 ∙ share

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Multimodal Convolutional Neural Networks for Matching Image and Sentence

In this paper, we propose multimodal convolutional neural networks (m-CN...
04/23/2015 ∙ by Lin Ma, et al. ∙ 0 ∙ share

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genCNN: A Convolutional Architecture for Word Sequence Prediction

We propose a novel convolutional architecture, named genCNN, for word se...
03/17/2015 ∙ by Mingxuan Wang, et al. ∙ 0 ∙ share

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Convolutional Neural Network Architectures for Matching Natural Language Sentences

Semantic matching is of central importance to many natural language task...
03/11/2015 ∙ by Baotian Hu, et al. ∙ 0 ∙ share

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Syntax-based Deep Matching of Short Texts

Many tasks in natural language processing, ranging from machine translat...
03/09/2015 ∙ by Mingxuan Wang, et al. ∙ 0 ∙ share

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Neural Responding Machine for Short-Text Conversation

We propose Neural Responding Machine (NRM), a neural network-based respo...
03/09/2015 ∙ by Lifeng Shang, et al. ∙ 0 ∙ share

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Context-Dependent Translation Selection Using Convolutional Neural Network

We propose a novel method for translation selection in statistical machi...
03/09/2015 ∙ by Zhaopeng Tu, et al. ∙ 0 ∙ share

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Encoding Source Language with Convolutional Neural Network for Machine Translation

The recently proposed neural network joint model (NNJM) (Devlin et al., ...
03/06/2015 ∙ by Fandong Meng, et al. ∙ 0 ∙ share

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A Parallel and Efficient Algorithm for Learning to Match

Many tasks in data mining and related fields can be formalized as matchi...
10/22/2014 ∙ by Jingbo Shang, et al. ∙ 0 ∙ share

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Hang Li

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