Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization. - Jingchang Liu; Linli Xu 002; Junliang Guo; Xin Sheng 003 (AAAI, 2019)

IntroVNMT: An Introspective Model for Variational Neural Machine Translation. - Xin Sheng 003; Linli Xu 002; Junliang Guo; Jingchang Liu; Ruoyu Zhao; Yinlong Xu (AAAI, 2020)

Label Incorporated Graph Neural Networks for Text Classification. - Yuan Xint; Linli Xu 002; Junliang Guo; Jiquan Li; Xin Sheng 003; Yuanyuan Zhou (ICPR, 2020)

Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation. - Jiquan Li; Junliang Guo; Yongxin Zhu 003; Xin Sheng 003; Deqiang Jiang; Bo Ren 002; Linli Xu 002 (AAAI, 2022)

CoCGAN: Contrastive Learning for Adversarial Category Text Generation. - Xin Sheng 003; Linli Xu 002; Yinlong Xu; Changcun Bao; Huang Chen; Bo Ren 002 (COLING, 2022)

Semantic-Preserving Abstractive Text Summarization with Siamese Generative Adversarial Net. - Xin Sheng 003; Linli Xu 002; Yinlong Xu; Deqiang Jiang; Bo Ren 002 (NAACL-HLT (Findings), 2022)

ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval. - Zhen Liu; Yongxin Zhu 003; Zhujin Gao; Xin Sheng 003; Linli Xu 002 (PAKDD (3), 2023)