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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


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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


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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


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Deep Learning for Text Attribute Transfer: A Survey

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


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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 

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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 

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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 

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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 

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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 

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From Static to Dynamic Node Embeddings

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


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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 

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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


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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


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Learning Continuous-Time Dynamics by Stochastic Differential Networks

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


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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 

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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


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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 

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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 

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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


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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


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

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


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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 

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Unsupervised Text Style Transfer via Iterative Matching and Translation

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


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Advancing PICO Element Detection in Medical Text via Deep Neural Networks

Oct 30, 2018
Di Jin, Peter Szolovits

* Submitted to NIPS ML4H 2018 

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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 

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Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts

Aug 19, 2018
Di Jin, Peter Szolovits

* Accepted by EMNLP 2018 

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