Fangli Xu

According to our database, Fangli Xu authored at least 25 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation.

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

Trans. Recomm. Syst., December, 2023

Multilevel Graph Matching Networks for Deep Graph Similarity Learning.

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

IEEE Trans. Neural Networks Learn. Syst., February, 2023

2022

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

Hanlu Wu, Tengfei Ma, Lingfei Wu, Fangli Xu, Shouling Ji

ACM Trans. Knowl. Discov. Data, 2022

Student Modeling and Analysis in Adaptive Instructional Systems.

Jing Liang, Ryan Hare, Tianyu Chang, Fangli Xu, Ying Tang, Fei-Yue Wang, Shimeng Peng, Mingyu Lei

IEEE Access, 2022

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

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

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation.

Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

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

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

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Feeding What You Need by Understanding What You Learned.

Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Deep Graph Matching and Searching for Semantic Code Retrieval.

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

ACM Trans. Knowl. Discov. Data, 2021

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

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

CoRR, 2021

RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders.

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

CoRR, 2021

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

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

CoRR, 2021

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation.

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

CoRR, 2021

Constructing Contrastive samples via Summarization for Text Classification with limited annotations.

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

CoRR, 2021

Constructing contrastive samples via summarization for text classification with limited annotations.

Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Bo Long, Shouling Ji

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Hierarchical Graph Matching Networks for Deep Graph Similarity Learning.

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

CoRR, 2020

Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description.

Kai Shen, Lingfei Wu, Fangli Xu, Siliang Tang, Jun Xiao, Yueting Zhuang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

RDF-to-Text Generation with Graph-augmented Structural Neural Encoders.

Hanning Gao, Lingfei Wu, Po Hu, Fangli Xu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

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

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

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

Fangli Xu, Lingfei Wu, K. P. Thai, Carol Hsu, Wei Wang, Richard Tong

CoRR, 2019

2018

D2KE: From Distance to Kernel and Embedding.

Lingfei Wu, Ian En-Hsu Yen, Fangli Xu, Pradeep Ravikumar, Michael Witbrock

CoRR, 2018

Scalable Spectral Clustering Using Random Binning Features.

Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Word Mover's Embedding: From Word2Vec to Document Embedding.

Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Random Warping Series: A Random Features Method for Time-Series Embedding.

Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2012

Overview of 3GPP LTE-advanced carrier aggregation for 4G wireless communications.

Zukang Shen, Aris Papasakellariou, Juan Montojo, Dirk Gerstenberger, Fangli Xu

IEEE Commun. Mag., 2012