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Di Jin

Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily


Dec 27, 2021
Tao Wang, Rui Wang, Di Jin, Dongxiao He, Yuxiao Huang

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Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences


Dec 10, 2021
Yifan Chen, Qi Zeng, Dilek Hakkani-Tur, Di Jin, Heng Ji, Yun Yang

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Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View


Dec 05, 2021
Di Jin, Elena Sergeeva, Wei-Hung Weng, Geeticka Chauhan, Peter Szolovits

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* The first four authors contributed equally, psz is the corresponding author. To appear as an advanced review in WIREs Mechanisms of Disease Journal 
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Convolutional Neural Network Dynamics: A Graph Perspective


Nov 09, 2021
Fatemeh Vahedian, Ruiyu Li, Puja Trivedi, Di Jin, Danai Koutra

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Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation


Oct 27, 2021
Di Jin, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Danai Koutra

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"How Robust r u?": Evaluating Task-Oriented Dialogue Systems on Spoken Conversations


Sep 28, 2021
Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Karthik Gopalakrishnan, Behnam Hedayatnia, Dilek Hakkani-Tur

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* To be presented at ASRU 2021 
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Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems


Sep 18, 2021
Di Jin, Shuyang Gao, Seokhwan Kim, Yang Liu, Dilek Hakkani-Tur

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* To appear at NLP4ConvAI workshop of EMNLP 2021 
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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

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* Presented as a DIALDOC workshop paper at ACL 2021 
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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

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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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* Submitted to AAAI 2020, under review 
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