Fangli Xu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 33

Top Topics

Replicator Dynamics

Multiple Choice

Top Venues

ACM Trans. Knowl. Discov. Data

EMNLP (Findings)

Publications

Kai Shen, Lingfei Wu, Siliang Tang, Fangli Xu, Bo Long, Yueting Zhuang, Jian Pei
Ask Questions with Double Hints: Visual Question Generation with Answer-awareness and Region-reference. CoRR (2024)
Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long
Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation. Trans. Recomm. Syst. 1 (4) (2023)
Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
Multilevel Graph Matching Networks for Deep Graph Similarity Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long
Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph. AACL/IJCNLP (1) (2022)
Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu
Feeding What You Need by Understanding What You Learned. CoRR (2022)
Jing Liang, Ryan Hare, Tianyu Chang, Fangli Xu, Ying Tang, Fei-Yue Wang, Shimeng Peng, Mingyu Lei
Student Modeling and Analysis in Adaptive Instructional Systems. IEEE Access 10 (2022)
Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. WSDM (2022)
Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu
Feeding What You Need by Understanding What You Learned. ACL (1) (2022)
Hanlu Wu, Tengfei Ma, Lingfei Wu, Fangli Xu, Shouling Ji
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing. ACM Trans. Knowl. Discov. Data 16 (2) (2022)
Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei
Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. WWW (2022)
Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
Deep Graph Matching and Searching for Semantic Code Retrieval. ACM Trans. Knowl. Discov. Data 15 (5) (2021)
Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Bo Long, Shouling Ji
Constructing contrastive samples via summarization for text classification with limited annotations. EMNLP (Findings) (2021)
Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long
RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders. CoRR (2021)
Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. CoRR (2021)
Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei
Multi-Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. CoRR (2021)
Qi Shen, Lingfei Wu, Yitong Pang, Yiming Zhang, Zhihua Wei, Fangli Xu, Bo Long
Multi-behavior Graph Contextual Aware Network for Session-based Recommendation. CoRR (2021)
Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Shouling Ji
Constructing Contrastive samples via Summarization for Text Classification with limited annotations. CoRR (2021)
Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long
Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph. CoRR (2021)
Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long
Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation. CoRR (2021)
Shucheng Li, Lingfei Wu, Shiwei Feng, Fangli Xu, Fengyuan Xu, Sheng Zhong
Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem. CoRR (2020)
Hanning Gao, Lingfei Wu, Po Hu, Fangli Xu
RDF-to-Text Generation with Graph-augmented Structural Neural Encoders. IJCAI (2020)
Kai Shen, Lingfei Wu, Fangli Xu, Siliang Tang, Jun Xiao, Yueting Zhuang
Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description. IJCAI (2020)
Shucheng Li, Lingfei Wu, Shiwei Feng, Fangli Xu, Fengyuan Xu, Sheng Zhong
Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem. EMNLP (Findings) (2020)
Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
Deep Graph Matching and Searching for Semantic Code Retrieval. CoRR (2020)
Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
Hierarchical Graph Matching Networks for Deep Graph Similarity Learning. CoRR (2020)
Fangli Xu, Lingfei Wu, K. P. Thai, Carol Hsu, Wei Wang, Richard Tong
MUTLA: A Large-Scale Dataset for Multimodal Teaching and Learning Analytics. CoRR (2019)
Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal
Scalable Spectral Clustering Using Random Binning Features. CoRR (2018)
Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock
Random Warping Series: A Random Features Method for Time-Series Embedding. AISTATS (2018)
Lingfei Wu, Ian En-Hsu Yen, Fangli Xu, Pradeep Ravikumar, Michael Witbrock
D2KE: From Distance to Kernel and Embedding. CoRR (2018)
Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock
Word Mover's Embedding: From Word2Vec to Document Embedding. CoRR (2018)
Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock
Word Mover's Embedding: From Word2Vec to Document Embedding. EMNLP (2018)
Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock
Random Warping Series: A Random Features Method for Time-Series Embedding. CoRR (2018)
Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal
Scalable Spectral Clustering Using Random Binning Features. KDD (2018)
Zukang Shen, Aris Papasakellariou, Juan Montojo, Dirk Gerstenberger, Fangli Xu
Overview of 3GPP LTE-advanced carrier aggregation for 4G wireless communications. IEEE Commun. Mag. 50 (2) (2012)