| 2022 | ACL | Feeding What You Need by Understanding What You Learned. | Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu |
| 2022 | IJCNLP | Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph. | Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long |
| 2022 | WWW | 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 |
| 2022 | WSDM | 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 |
| 2021 | EMNLP | 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 |
| 2020 | EMNLP | 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 |
| 2020 | IJCAI | RDF-to-Text Generation with Graph-augmented Structural Neural Encoders. | Hanning Gao, Lingfei Wu, Po Hu, Fangli Xu |
| 2020 | IJCAI | 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 |
| 2018 | AISTATS | 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 |
| 2018 | EMNLP | 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 |
| 2018 | KDD | Scalable Spectral Clustering Using Random Binning Features. | Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal |