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Lingfei Wu

University of Pittsburgh

Compact Graph Structure Learning via Mutual Information Compression


Jan 14, 2022
Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi

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* This paper has been accepted by TheWebConf 2022 
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Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art


Dec 23, 2021
Xiang Ling, Lingfei Wu, Jiangyu Zhang, Zhenqing Qu, Wei Deng, Xiang Chen, Chunming Wu, Shouling Ji, Tianyue Luo, Jingzheng Wu, Yanjun Wu

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Multi-Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation


Dec 22, 2021
Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei

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Intelligent Online Selling Point Extraction for E-Commerce Recommendation


Dec 16, 2021
Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu

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* IAAI 2022 industry award 
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Automatic Product Copywriting for E-Commerce


Dec 15, 2021
Xueying Zhang, Yanyan Zou, Hainan Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu

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* Accepted by AAAI 2022/IAAI 2022 under the track of "Highly Innovative Applications of AI" 
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RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders


Nov 20, 2021
Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long

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Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph


Nov 20, 2021
Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long

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Multi-behavior Graph Contextual Aware Network for Session-based Recommendation


Sep 24, 2021
Qi Shen, Lingfei Wu, Yitong Pang, Yiming Zhang, Zhihua Wei, Fangli Xu, Bo Long

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Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation


Sep 24, 2021
Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long

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* 10 pages, 5 figures 
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Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks


Aug 07, 2021
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu

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Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks


Jul 21, 2021
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu

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Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation


Jul 08, 2021
Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long

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* 11 pages, 2 figures 
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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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* Accepted as a long paper to ACL 2020 
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