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Lingfei Wu

University of Pittsburgh

Graph Neural Networks for Natural Language Processing: A Survey


Jun 10, 2021
Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long

* 127 pages 

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Constructing Contrastive samples via Summarization for Text Classification with limited annotations


Apr 11, 2021
Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Shouling Ji


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HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks


Mar 31, 2021
Xuye Liu, Dakuo Wang, April Wang, Lingfei Wu


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Relation-aware Graph Attention Model With Adaptive Self-adversarial Training


Feb 14, 2021
Xiao Qin, Nasrullah Sheikh, Berthold Reinwald, Lingfei Wu


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Low-skilled Occupations Face the Highest Re-skilling Pressure


Jan 27, 2021
Di Tong, Lingfei Wu, James Allen Evans

* 11 pages; 4 figures 

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A Neural Question Answering System for Basic Questions about Subroutines


Jan 11, 2021
Aakash Bansal, Zachary Eberhart, Lingfei Wu, Collin McMillan

* 12 pages, 5 figures . To be published at the proceeding of IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) 2021, Honolulu, Hawaii, USA 

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Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing


Oct 25, 2020
Hanlu Wu, Tengfei Ma, Lingfei Wu, Shouling Ji


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Deep Graph Matching and Searching for Semantic Code Retrieval


Oct 24, 2020
Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji

* 21 pages 

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Stronger Transformers for Neural Multi-Hop Question Generation


Oct 22, 2020
Devendra Singh Sachan, Lingfei Wu, Mrinmaya Sachan, William Hamilton

* Code will be made available 

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Technical Question Answering across Tasks and Domains


Oct 19, 2020
Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Guven, Meng Jiang

* 10 pages, 6 figures 

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Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning


Oct 05, 2020
Hanlu Wu, Tengfei Ma, Lingfei Wu, Tariro Manyumwa, Shouling Ji

* Long Paper in EMNLP 2020 

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Hierarchical Graph Matching Networks for Deep Graph Similarity Learning


Jul 08, 2020
Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji

* 17 pages 

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Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings


Jun 21, 2020
Yu Chen, Lingfei Wu, Mohammed J. Zaki

* 17 pages. arXiv admin note: text overlap with arXiv:1912.07832 

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Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement


Jun 09, 2020
Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye

* This paper has been accepted by KDD 2020 

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A Multi-Perspective Architecture for Semantic Code Search


May 06, 2020
Rajarshi Haldar, Lingfei Wu, Jinjun Xiong, Julia Hockenmaier

* ACL 2020 

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Crossing Variational Autoencoders for Answer Retrieval


May 06, 2020
Wenhao Yu, Lingfei Wu, Qingkai Zeng, Yu Deng, Shu Tao, Meng Jiang

* Accepted to ACL 2020 

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Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward


May 03, 2020
Luyang Huang, Lingfei Wu, Lu Wang

* Accepted as a long paper to ACL 2020 

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Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks


Apr 13, 2020
Yu Chen, Lingfei Wu, Mohammed J. Zaki

* 12 pages 

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Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem


Apr 07, 2020
Shucheng Li, Lingfei Wu, Shiwei Feng, Fangli Xu, Fengyuan Xu, Sheng Zhong

* 11 pages including references 

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Improved Code Summarization via a Graph Neural Network


Apr 07, 2020
Alexander LeClair, Sakib Haque, Lingfei Wu, Collin McMillan

* 10 pages 

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Deep Iterative and Adaptive Learning for Graph Neural Networks


Dec 17, 2019
Yu Chen, Lingfei Wu, Mohammed J. Zaki

* 6 pages. Accepted at the AAAI 2020 Workshop on Deep Learning on Graphs: Methodologies and Applications (AAAI DLGMA 2020). Final Version 

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Efficient Global String Kernel with Random Features: Beyond Counting Substructures


Nov 25, 2019
Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji, Charu Aggarwal

* KDD'19 Oral Paper, Data and Code link available in the paper 

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KerGM: Kernelized Graph Matching


Nov 25, 2019
Zhen Zhang, Yijian Xiang, Lingfei Wu, Bing Xue, Arye Nehorai

* NeurIPS'19, Spotlight Paper, Data and Code link available in the paper 

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Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding


Nov 25, 2019
Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu Aggarwal

* KDD'19, Oral Paper, Data and Code link available in the paper 

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Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling


Nov 15, 2019
Maxwell Crouse, Ibrahim Abdelaziz, Cristina Cornelio, Veronika Thost, Lingfei Wu, Kenneth Forbus, Achille Fokoue


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Natural Question Generation with Reinforcement Learning Based Graph-to-Sequence Model


Oct 19, 2019
Yu Chen, Lingfei Wu, Mohammed J. Zaki

* 4 pages. Accepted at the NeurIPS 2019 Workshop on Graph Representation Learning (NeurIPS GRL 2019). Final Version 

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MUTLA: A Large-Scale Dataset for Multimodal Teaching and Learning Analytics


Oct 05, 2019
Fangli Xu, Lingfei Wu, KP Thai, Carol Hsu, Wei Wang, Richard Tong

* 3 pages, 1 figure, 2 tables workshop paper 

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Multi-stage Deep Classifier Cascades for Open World Recognition


Aug 26, 2019
Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao

* This paper has been accepted by CIKM 2019 

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DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums


Aug 22, 2019
Yuyang Gao, Lingfei Wu, Houman Homayoun, Liang Zhao

* 6 pages. Accepted as ICDM 2019 Short Paper. Final Version 

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Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation


Aug 14, 2019
Yu Chen, Lingfei Wu, Mohammed J. Zaki

* 11 pages 

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