Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Di Jin

Di Jin

Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling


Jun 16, 2021
Di Jin, Seokhwan Kim, Dilek Hakkani-Tur

Figure 1 for Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling
Figure 2 for Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling
Figure 3 for Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling
Figure 4 for Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling
* Presented as a DIALDOC workshop paper at ACL 2021 
  Access Paper or Ask Questions

A Comprehensive Survey on Community Detection with Deep Learning


May 26, 2021
Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cecile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu

Figure 1 for A Comprehensive Survey on Community Detection with Deep Learning
Figure 2 for A Comprehensive Survey on Community Detection with Deep Learning
Figure 3 for A Comprehensive Survey on Community Detection with Deep Learning
Figure 4 for A Comprehensive Survey on Community Detection with Deep Learning

  Access Paper or Ask Questions

Adversarial Contrastive Pre-training for Protein Sequences


Jan 31, 2021
Matthew B. A. McDermott, Brendan Yap, Harry Hsu, Di Jin, Peter Szolovits

Figure 1 for Adversarial Contrastive Pre-training for Protein Sequences
Figure 2 for Adversarial Contrastive Pre-training for Protein Sequences
Figure 3 for Adversarial Contrastive Pre-training for Protein Sequences

  Access Paper or Ask Questions

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


Jan 13, 2021
Ziyang Liu, Zhaomeng Cheng, Yunjiang Jiang, Yue Shang, Wei Xiong, Sulong Xu, Bo Long, Di Jin

Figure 1 for Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search
Figure 2 for Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search
Figure 3 for Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search
Figure 4 for Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search

  Access Paper or Ask Questions

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


Jan 03, 2021
Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Philip S. Yu, Weixiong Zhang

Figure 1 for A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
Figure 2 for A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
Figure 3 for A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
Figure 4 for A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning

  Access Paper or Ask Questions

Deep Learning for Text Attribute Transfer: A Survey


Nov 01, 2020
Di Jin, Zhijing Jin, Rada Mihalcea

Figure 1 for Deep Learning for Text Attribute Transfer: A Survey
Figure 2 for Deep Learning for Text Attribute Transfer: A Survey
Figure 3 for Deep Learning for Text Attribute Transfer: A Survey
Figure 4 for Deep Learning for Text Attribute Transfer: A Survey

  Access Paper or Ask Questions

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


Oct 23, 2020
Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han

Figure 1 for BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks
Figure 2 for BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks
Figure 3 for BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks
Figure 4 for BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks
* To appear in WSDM 2021 
  Access Paper or Ask Questions

Graph Neural Network for Large-Scale Network Localization


Oct 22, 2020
Wenzhong Yan, Di Jin, Zhidi Lin, Feng Yin

Figure 1 for Graph Neural Network for Large-Scale Network Localization
Figure 2 for Graph Neural Network for Large-Scale Network Localization
Figure 3 for Graph Neural Network for Large-Scale Network Localization
Figure 4 for Graph Neural Network for Large-Scale Network Localization
* Submitted in ICASSP 2021, Code available at https://github.com/Yanzongzi/GNN-For-localization 
  Access Paper or Ask Questions

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


Oct 20, 2020
Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin

Figure 1 for BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search
Figure 2 for BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search
Figure 3 for BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search
Figure 4 for BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search
* 10 pages, 7 figures, to appear in ICDM 2020 
  Access Paper or Ask Questions

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


Oct 04, 2020
Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang

Figure 1 for Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis
Figure 2 for Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis
Figure 3 for Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis
Figure 4 for Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis
* EMNLP 2020, long paper 
  Access Paper or Ask Questions

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


Sep 28, 2020
Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, Peter Szolovits

Figure 1 for What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
Figure 2 for What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
Figure 3 for What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
Figure 4 for What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
* Submitted to AAAI 2021 
  Access Paper or Ask Questions

From Static to Dynamic Node Embeddings


Sep 21, 2020
Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra

Figure 1 for From Static to Dynamic Node Embeddings
Figure 2 for From Static to Dynamic Node Embeddings
Figure 3 for From Static to Dynamic Node Embeddings
Figure 4 for From Static to Dynamic Node Embeddings

  Access Paper or Ask Questions

Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards


Aug 06, 2020
Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang

Figure 1 for Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards
Figure 2 for Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards
Figure 3 for Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards
Figure 4 for Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards
* In proceedings of ECCV 2020 
  Access Paper or Ask Questions

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


Jul 14, 2020
Yaman Kumar, Mehar Bhatia, Anubha Kabra, Jessy Junyi Li, Di Jin, Rajiv Ratn Shah

Figure 1 for Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing
Figure 2 for Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing
Figure 3 for Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing
Figure 4 for Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing

  Access Paper or Ask Questions

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


Jul 06, 2020
Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han

Figure 1 for GCN for HIN via Implicit Utilization of Attention and Meta-paths
Figure 2 for GCN for HIN via Implicit Utilization of Attention and Meta-paths
Figure 3 for GCN for HIN via Implicit Utilization of Attention and Meta-paths
Figure 4 for GCN for HIN via Implicit Utilization of Attention and Meta-paths

  Access Paper or Ask Questions

Learning Continuous-Time Dynamics by Stochastic Differential Networks


Jun 11, 2020
Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Di Jin, Jing Shi

Figure 1 for Learning Continuous-Time Dynamics by Stochastic Differential Networks
Figure 2 for Learning Continuous-Time Dynamics by Stochastic Differential Networks
Figure 3 for Learning Continuous-Time Dynamics by Stochastic Differential Networks
Figure 4 for Learning Continuous-Time Dynamics by Stochastic Differential Networks

  Access Paper or Ask Questions

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


Apr 30, 2020
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, Peter Szolovits

Figure 1 for Hooks in the Headline: Learning to Generate Headlines with Controlled Styles
Figure 2 for Hooks in the Headline: Learning to Generate Headlines with Controlled Styles
Figure 3 for Hooks in the Headline: Learning to Generate Headlines with Controlled Styles
Figure 4 for Hooks in the Headline: Learning to Generate Headlines with Controlled Styles
* ACL 2020 
  Access Paper or Ask Questions

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


Apr 13, 2020
Shuyang Gao, Sanchit Agarwal, Tagyoung Chung, Di Jin, Dilek Hakkani-Tur

Figure 1 for From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap
Figure 2 for From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap
Figure 3 for From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap
Figure 4 for From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap

  Access Paper or Ask Questions

Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation


Jan 22, 2020
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits

Figure 1 for Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation
Figure 2 for Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation
Figure 3 for Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation
Figure 4 for Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation
* Submitted to IJCAI 2020 
  Access Paper or Ask Questions

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


Oct 01, 2019
Di Jin, Shuyang Gao, Jiun-Yu Kao, Tagyoung Chung, Dilek Hakkani-tur

Figure 1 for MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension
Figure 2 for MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension
Figure 3 for MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension
Figure 4 for MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension
* Submitted to AAAI 2020, under review 
  Access Paper or Ask Questions

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment


Sep 07, 2019
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits

Figure 1 for Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Figure 2 for Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Figure 3 for Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Figure 4 for Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

  Access Paper or Ask Questions

From Community to Role-based Graph Embeddings


Aug 22, 2019
Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee

Figure 1 for From Community to Role-based Graph Embeddings
Figure 2 for From Community to Role-based Graph Embeddings
Figure 3 for From Community to Role-based Graph Embeddings
Figure 4 for From Community to Role-based Graph Embeddings

  Access Paper or Ask Questions

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


Jul 27, 2019
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits

Figure 1 for Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment
Figure 2 for Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment
Figure 3 for Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment
Figure 4 for Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment

  Access Paper or Ask Questions

Publicly Available Clinical BERT Embeddings


Apr 29, 2019
Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, Matthew B. A. McDermott

Figure 1 for Publicly Available Clinical BERT Embeddings
Figure 2 for Publicly Available Clinical BERT Embeddings
Figure 3 for Publicly Available Clinical BERT Embeddings
Figure 4 for Publicly Available Clinical BERT Embeddings
* Clinical Natural Language Processing (ClinicalNLP) Workshop at NAACL 2019 
  Access Paper or Ask Questions

Unsupervised Text Style Transfer via Iterative Matching and Translation


Jan 31, 2019
Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus

Figure 1 for Unsupervised Text Style Transfer via Iterative Matching and Translation
Figure 2 for Unsupervised Text Style Transfer via Iterative Matching and Translation
Figure 3 for Unsupervised Text Style Transfer via Iterative Matching and Translation
Figure 4 for Unsupervised Text Style Transfer via Iterative Matching and Translation

  Access Paper or Ask Questions

Advancing PICO Element Detection in Medical Text via Deep Neural Networks


Oct 30, 2018
Di Jin, Peter Szolovits

Figure 1 for Advancing PICO Element Detection in Medical Text via Deep Neural Networks
Figure 2 for Advancing PICO Element Detection in Medical Text via Deep Neural Networks
* Submitted to NIPS ML4H 2018 
  Access Paper or Ask Questions