Not All Attention Is Needed: Gated Attention Network for Sequence Data. - Lanqing Xue; Xiaopeng Li; Nevin L. Zhang (AAAI, 2020)

Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation. - Zhiliang Tian; Wei Bi; Dongkyu Lee; Lanqing Xue; Yiping Song; Xiaojiang Liu; Nevin L. Zhang (ACL, 2020)

Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization. - Dongkyu Lee; Zhiliang Tian; Lanqing Xue; Nevin L. Zhang (ACL/IJCNLP (1), 2021)

DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling. - Lanqing Xue; Kaitao Song; Duocai Wu; Xu Tan 003; Nevin L. Zhang; Tao Qin 001; Wei-Qiang Zhang; Tie-Yan Liu (ACL/IJCNLP (1), 2021)

PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph. - Kun Wu; Xinyi Mou; Lanqing Xue; Zhenzhe Ying; Weiqiang Wang; Qi Zhang 001; Xuanjing Huang 001; Zhongyu Wei (LREC/COLING, 2024)