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

 Add to Chrome

 Add to Firefox

 CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Di Jin

Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, U.S.A

Adversarial Contrastive Pre-training for Protein Sequences

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


  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


  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


  Access Paper or Ask Questions
Deep Learning for Text Attribute Transfer: A Survey

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


  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

* 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

* 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

* 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

* 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

* 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


  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

* 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


  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


  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


  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

* 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


  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

* 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

* 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


  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


  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


  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

* 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


  Access Paper or Ask Questions
Advancing PICO Element Detection in Medical Text via Deep Neural Networks

Oct 30, 2018
Di Jin, Peter Szolovits

* Submitted to NIPS ML4H 2018 
  Access Paper or Ask Questions
High-throughput, high-resolution registration-free generated adversarial network microscopy

Oct 03, 2018
Hao Zhang, Xinlin Xie, Chunyu Fang, Yicong Yang, Di Jin, Peng Fei

* 21 pages, 9 figures and 1 table. Peng Fe and Di Jin conceived the ides, initiated the investigation. Hao Zhang, Di Jin and Peng Fei prepared the manuscript 
  Access Paper or Ask Questions
Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts

Aug 19, 2018
Di Jin, Peter Szolovits

* Accepted by EMNLP 2018 
  Access Paper or Ask Questions