Fangli Xu

787 total citations
17 papers, 401 citations indexed

About

Fangli Xu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fangli Xu has authored 17 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fangli Xu's work include Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Recommender Systems and Techniques (4 papers). Fangli Xu is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Recommender Systems and Techniques (4 papers). Fangli Xu collaborates with scholars based in China, United States and Canada. Fangli Xu's co-authors include Lingfei Wu, Qi Shen, Zhihua Wei, Tengfei Ma, Shouling Ji, Jian Pei, Bo Long, Xiang Ling, Alex X. Liu and Ian En-Hsu Yen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Fangli Xu

16 papers receiving 388 citations

Peers

Countries citing papers authored by Fangli Xu

Since Specialization

Citations

This map shows the geographic impact of Fangli Xu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fangli Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangli Xu more than expected).

Fields of papers citing papers by Fangli Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fangli Xu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fangli Xu. The network helps show where Fangli Xu may publish in the future.

Co-authorship network of co-authors of Fangli Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Fangli Xu. A scholar is included among the top collaborators of Fangli Xu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fangli Xu. Fangli Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

#	Work	Indexed citations
1	Ask Questions With Double Hints: Visual Question Generation With Answer-Awareness and Region-Reference 2024 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Kai Shen, Lingfei Wu, Siliang Tang, Fangli Xu, Bo Long, Yueting Zhuang, Jian Pei	0
2	Multi-Interest Multi-Round Conversational Recommendation System with Fuzzy Feedback Based User Simulator 2023 ·Qi Shen, Lingfei Wu, Yiming Zhang, (unknown), Zhihua Wei, Fangli Xu, Bo Long, Jian Pei	4
3	Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation 2023 ·Yiming Zhang, (unknown), Qi Shen, (unknown), Zhihua Wei, Fangli Xu, (unknown), Bo Long	13
4	Feeding What You Need by Understanding What You Learned 2022 ·Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ·Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu	3
5	Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation 2022 ·Proceedings of the ACM Web Conference 2022 ·Yiming Zhang, Lingfei Wu, Qi Shen, (unknown), Zhihua Wei, Fangli Xu, Bo Long, Jian Pei	35
6	Student Modeling and Analysis in Adaptive Instructional Systems 2022 ·IEEE Access ·(unknown), (unknown), (unknown), Fangli Xu, Ying Tang, Fei‐Yue Wang, (unknown), (unknown)	18
7	Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation 2022 ·arXiv (Cornell University) ·(unknown), Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, (unknown), Bo Long, Jian Pei	77
8	Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing 2021 ·ACM Transactions on Knowledge Discovery from Data ·(unknown), Tengfei Ma, Lingfei Wu, Fangli Xu, Shouling Ji	9
9	Multilevel Graph Matching Networks for Deep Graph Similarity Learning 2021 ·IEEE Transactions on Neural Networks and Learning Systems ·Xiang Ling, Lingfei Wu, (unknown), Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji	46
10	Deep Graph Matching and Searching for Semantic Code Retrieval 2021 ·ACM Transactions on Knowledge Discovery from Data ·Xiang Ling, Lingfei Wu, (unknown), (unknown), Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji	54
11	Ask Question with Double Hints: Visual Question Generation with Answer-awareness and Region-reference 2021 ·Kai Shen, Lingfei Wu, Siliang Tang, Fangli Xu, Zhu Zhang, Qiang Yu, Yueting Zhuang	1
12	Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem 2020 ·Shucheng Li, Lingfei Wu, (unknown), Fangli Xu, Fengyuan Xu, Sheng Zhong	37
13	RDF-to-Text Generation with Graph-augmented Structural Neural Encoders 2020 ·(unknown), Lingfei Wu, Po Hu, Fangli Xu	8
14	Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description 2020 ·Kai Shen, Lingfei Wu, Fangli Xu, Siliang Tang, Jun Xiao, Yueting Zhuang	11
15	Word Mover’s Embedding: From Word2Vec to Document Embedding 2018 ·Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, (unknown), Pin‐Yu Chen, Pradeep Ravikumar, Michael Witbrock	50
16	Random Warping Series: A Random Features Method for Time-Series Embedding 2018 ·arXiv (Cornell University) ·Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock	6
17	Scalable Spectral Clustering Using Random Binning Features 2018 ·Lingfei Wu, Pin‐Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charų C. Aggarwal	29

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact