Di Jin

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MIT

I am a PhD student from MIT, working on NLP.

Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search

Result relevance prediction is an essential task of e-commerce search en...
01/13/2021 ∙ by Ziyang Liu, et al. ∙ 0 ∙ share

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A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning

Community detection, a fundamental task for network analysis, aims to pa...
01/03/2021 ∙ by Di Jin, et al. ∙ 48 ∙ share

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Deep Learning for Text Attribute Transfer: A Survey

Driven by the increasingly larger deep learning models, neural language ...
11/01/2020 ∙ by Di Jin, et al. ∙ 13 ∙ share

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BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks

Graph convolutional networks (GCNs), aiming to integrate high-order neig...
10/23/2020 ∙ by Di Jin, et al. ∙ 10 ∙ share

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Graph Neural Network for Large-Scale Network Localization

Graph neural networks (GNNs) are popular to use for classifying structur...
10/22/2020 ∙ by Wenzhong Yan, et al. ∙ 0 ∙ share

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BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search

Relevance has significant impact on user experience and business profit ...
10/20/2020 ∙ by Yunjiang Jiang, et al. ∙ 0 ∙ share

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What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Open domain question answering (OpenQA) tasks have been recently attract...
09/28/2020 ∙ by Di Jin, et al. ∙ 5 ∙ share

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From Static to Dynamic Node Embeddings

We introduce a general framework for leveraging graph stream data for te...
09/21/2020 ∙ by Di Jin, et al. ∙ 8 ∙ share

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Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) aims to predict the sentiment tow...
09/16/2020 ∙ by Xiaoyu Xing, et al. ∙ 0 ∙ share

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Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards

Generating accurate descriptions for online fashion items is important n...
08/06/2020 ∙ by Xuewen Yang, et al. ∙ 2 ∙ share

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Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing

A significant progress has been made in deep-learning based Automatic Es...
07/14/2020 ∙ by Yaman Kumar, et al. ∙ 0 ∙ share

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GCN for HIN via Implicit Utilization of Attention and Meta-paths

Heterogeneous information network (HIN) embedding, aiming to map the str...
07/06/2020 ∙ by Di Jin, et al. ∙ 0 ∙ share

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Learning Continuous-Time Dynamics by Stochastic Differential Networks

Learning continuous-time stochastic dynamics from sparse or irregular ob...
06/11/2020 ∙ by Yingru Liu, et al. ∙ 7 ∙ share

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From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap

Dialogue state tracking (DST) is at the heart of task-oriented dialogue ...
04/13/2020 ∙ by Shuyang Gao, et al. ∙ 16 ∙ share

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Hooks in the Headline: Learning to Generate Headlines with Controlled Styles

Current summarization systems only produce plain, factual headlines, but...
04/04/2020 ∙ by Di Jin, et al. ∙ 9 ∙ share

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Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation

State-of-the-art neural machine translation (NMT) systems are data-hungr...
01/22/2020 ∙ by Di Jin, et al. ∙ 0 ∙ share

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MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension

Machine Reading Comprehension (MRC) for question answering (QA), which a...
10/01/2019 ∙ by Di Jin, et al. ∙ 0 ∙ share

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From Community to Role-based Graph Embeddings

Roles are sets of structurally similar nodes that are more similar to no...
08/22/2019 ∙ by Ryan A. Rossi, et al. ∙ 0 ∙ share

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Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment

Machine learning algorithms are often vulnerable to adversarial examples...
07/27/2019 ∙ by Di Jin, et al. ∙ 0 ∙ share

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node2bits: Compact Time- and Attribute-aware Node Representations for User Stitching

Identity stitching, the task of identifying and matching various online ...
04/18/2019 ∙ by Di Jin, et al. ∙ 0 ∙ share

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Publicly Available Clinical BERT Embeddings

Contextual word embedding models such as ELMo (Peters et al., 2018) and ...
04/06/2019 ∙ by Emily Alsentzer, et al. ∙ 0 ∙ share

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Unsupervised Text Style Transfer via Iterative Matching and Translation

Text style transfer seeks to learn how to automatically rewrite sentence...
01/31/2019 ∙ by Zhijing Jin, et al. ∙ 28 ∙ share

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Advancing PICO Element Detection in Medical Text via Deep Neural Networks

In evidence-based medicine (EBM), structured medical questions are alway...
10/30/2018 ∙ by Di Jin, et al. ∙ 0 ∙ share

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Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts

Prevalent models based on artificial neural network (ANN) for sentence c...
08/19/2018 ∙ by Di Jin, et al. ∙ 0 ∙ share

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High-throughput, high-resolution Generated Adversarial Network Microscopy

We for the first time combine generated adversarial network (GAN) with w...
01/07/2018 ∙ by Hao Zhang, et al. ∙ 0 ∙ share

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Di Jin

Featured Co-authors

Xin Wang

Philip S. Yu

Jiawei Han

Qi Zhang

Xuanjing Huang

Hao Zhang

Rajiv Ratn Shah

Jue Wang

Dilek Hakkani-Tur

Rada Mihalcea

Ryan A. Rossi

Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning

Deep Learning for Text Attribute Transfer: A Survey

BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks

Graph Neural Network for Large-Scale Network Localization

BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search

What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

From Static to Dynamic Node Embeddings

Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis

Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards

Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing

GCN for HIN via Implicit Utilization of Attention and Meta-paths

Learning Continuous-Time Dynamics by Stochastic Differential Networks

From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap

Hooks in the Headline: Learning to Generate Headlines with Controlled Styles

Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation

MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension

From Community to Role-based Graph Embeddings

Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment

node2bits: Compact Time- and Attribute-aware Node Representations for User Stitching

Publicly Available Clinical BERT Embeddings

Unsupervised Text Style Transfer via Iterative Matching and Translation

Advancing PICO Element Detection in Medical Text via Deep Neural Networks

Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts

High-throughput, high-resolution Generated Adversarial Network Microscopy