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Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub


Feb 10, 2021
Xuan Lu, Wei Ai, Zhenpeng Chen, Yanbin Cao, Xuanzhe Liu, Qiaozhu Mei


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CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks


Oct 05, 2020
Jiaqi Ma, Bo Chang, Xuefei Zhang, Qiaozhu Mei


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SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks


Aug 19, 2020
Weijing Tang, Jiaqi Ma, Qiaozhu Mei, Ji Zhu


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Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy


Aug 07, 2020
Teng Ye, Wei Ai, Lingyu Zhang, Ning Luo, Lulu Zhang, Jieping Ye, Qiaozhu Mei

* Accepted to KDD 2020 

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An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification


Jul 31, 2020
Cristina Garbacea, Mengtian Guo, Samuel Carton, Qiaozhu Mei

* 10 pages 

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Neural Language Generation: Formulation, Methods, and Evaluation


Jul 31, 2020
Cristina Garbacea, Qiaozhu Mei

* 70 pages 

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Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model


Jun 09, 2020
Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei


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Black-Box Adversarial Attacks on Graph Neural Networks with Limited Node Access


Jun 09, 2020
Jiaqi Ma, Shuangrui Ding, Qiaozhu Mei


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Neural Architecture Search over Decentralized Data


Feb 15, 2020
Mengwei Xu, Yuxin Zhao, Kaigui Bian, Gang Huang, Qiaozhu Mei, Xuanzhe Liu


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Graph Representation Learning via Multi-task Knowledge Distillation


Nov 11, 2019
Jiaqi Ma, Qiaozhu Mei

* NeurIPS 2019 GRL Workshop 

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SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering


Jul 04, 2019
Zhenpeng Chen, Yanbin Cao, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu

* Accepted by the 2019 ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2019). Please include ESEC/FSE in any citations 

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A Flexible Generative Framework for Graph-based Semi-supervised Learning


May 26, 2019
Jiaqi Ma, Weijing Tang, Ji Zhu, Qiaozhu Mei


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Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation


Jan 02, 2019
Cristina Garbacea, Samuel Carton, Shiyan Yan, Qiaozhu Mei


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Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts


Oct 19, 2018
Samuel Carton, Qiaozhu Mei, Paul Resnick

* Accepted to EMNLP 2018 Code and data available at https://github.com/shcarton/rcnn 

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Find the Conversation Killers: a Predictive Study of Thread-ending Posts


Dec 22, 2017
Yunhao Jiao, Cheng Li, Fei Wu, Qiaozhu Mei

* Accepted by WWW 2018 (The Web Conference, 2018) 

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End-to-end Learning for Short Text Expansion


Aug 30, 2017
Jian Tang, Yue Wang, Kai Zheng, Qiaozhu Mei

* KDD'2017 

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Deep Memory Networks for Attitude Identification


Jan 16, 2017
Cheng Li, Xiaoxiao Guo, Qiaozhu Mei

* Accepted to WSDM'17 

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Less is More: Learning Prominent and Diverse Topics for Data Summarization


Dec 01, 2016
Jian Tang, Cheng Li, Ming Zhang, Qiaozhu Mei


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Context-aware Natural Language Generation with Recurrent Neural Networks


Nov 29, 2016
Jian Tang, Yifan Yang, Sam Carton, Ming Zhang, Qiaozhu Mei


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Identity-sensitive Word Embedding through Heterogeneous Networks


Nov 29, 2016
Jian Tang, Meng Qu, Qiaozhu Mei


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DeepCas: an End-to-end Predictor of Information Cascades


Nov 16, 2016
Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei


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DeepGraph: Graph Structure Predicts Network Growth


Oct 20, 2016
Cheng Li, Xiaoxiao Guo, Qiaozhu Mei


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The DARPA Twitter Bot Challenge


Apr 21, 2016
V. S. Subrahmanian, Amos Azaria, Skylar Durst, Vadim Kagan, Aram Galstyan, Kristina Lerman, Linhong Zhu, Emilio Ferrara, Alessandro Flammini, Filippo Menczer, Andrew Stevens, Alexander Dekhtyar, Shuyang Gao, Tad Hogg, Farshad Kooti, Yan Liu, Onur Varol, Prashant Shiralkar, Vinod Vydiswaran, Qiaozhu Mei, Tim Hwang

* Computer 49 (6), 38-46. IEEE, 2016 
* IEEE Computer Magazine, in press 

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Visualizing Large-scale and High-dimensional Data


Apr 05, 2016
Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei

* WWW 2016 

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PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks


Aug 02, 2015
Jian Tang, Meng Qu, Qiaozhu Mei

* KDD 2015 

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LINE: Large-scale Information Network Embedding


Mar 12, 2015
Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei

* WWW 2015 

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"Look Ma, No Hands!" A Parameter-Free Topic Model


Sep 10, 2014
Jian Tang, Ming Zhang, Qiaozhu Mei


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