A Generalized Recurrent Neural Architecture for Text Classification with Multi-Task Learning. - Honglun Zhang; Liqiang Xiao; Yongkun Wang; Yaohui Jin (IJCAI, 2017)

Learning What to Share: Leaky Multi-Task Network for Text Classification. - Liqiang Xiao; Honglun Zhang; Wenqing Chen; Yongkun Wang; Yaohui Jin (COLING, 2018)

MCapsNet: Capsule Network for Text with Multi-Task Learning. - Liqiang Xiao; Honglun Zhang; Wenqing Chen; Yongkun Wang; Yaohui Jin (EMNLP, 2018)

Multi-Task Label Embedding for Text Classification. - Honglun Zhang; Liqiang Xiao; Wenqing Chen; Yongkun Wang; Yaohui Jin (EMNLP, 2018)

Transformable Convolutional Neural Network for Text Classification. - Liqiang Xiao; Honglun Zhang; Wenqing Chen; Yongkun Wang; Yaohui Jin (IJCAI, 2018)

Generative Warfare Nets: Ensemble via Adversaries and Collaborators. - Honglun Zhang; Liqiang Xiao; Wenqing Chen; Yongkun Wang; Yaohui Jin (IJCAI, 2018)

Gated Multi-Task Network for Text Classification. - Liqiang Xiao; Honglun Zhang; Wenqing Chen (NAACL-HLT (2), 2018)

Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning. - Liqiang Xiao; Lu Wang 008; Hao He 007; Yaohui Jin (AAAI, 2020)

A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation. - Wenqing Chen; Jidong Tian; Liqiang Xiao; Hao He 007; Yaohui Jin (COLING, 2020)

Exploring Logically Dependent Multi-task Learning with Causal Inference. - Wenqing Chen; Jidong Tian; Liqiang Xiao; Hao He 007; Yaohui Jin (EMNLP (1), 2020)

Modeling Content Importance for Summarization with Pre-trained Language Models. - Liqiang Xiao; Lu Wang 008; Hao He 007; Yaohui Jin (EMNLP (1), 2020)

Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI. - Jidong Tian; Yitian Li; Wenqing Chen; Liqiang Xiao; Hao He 007; Yaohui Jin (EMNLP (1), 2021)

End-to-End Conversational Search for Online Shopping with Utterance Transfer. - Liqiang Xiao; Jun Ma 029; Xin Luna Dong; Pascual Martínez-Gómez; Nasser Zalmout; Wei Chen; Tong Zhao 002; Hao He 007; Yaohui Jin (EMNLP (1), 2021)

Towards Reasoning Ability in Scene Text Visual Question Answering. - Qingqing Wang; Liqiang Xiao; Yue Lu 001; Yaohui Jin; Hao He 007 (ACM Multimedia, 2021)

Weakly Supervised Neural Symbolic Learning for Cognitive Tasks. - Jidong Tian; Yitian Li; Wenqing Chen; Liqiang Xiao; Hao He 007; Yaohui Jin (AAAI, 2022)

CALM: Commen-Sense Knowledge Augmentation for Document Image Understanding. - Qinyi Du; Qingqing Wang; Keqian Li; Jidong Tian; Liqiang Xiao; Yaohui Jin (ACM Multimedia, 2022)

FusionSum: Abstractive summarization with sentence fusion and cooperative reinforcement learning. - Liqiang Xiao; Hao He 007; Yaohui Jin (Knowl. Based Syst., 2022)

YOLO-RDS: An efficient algorithm for monitoring the uprightness of seedling transplantation. - Xin Jin 013; Xiaowu Zhu; Liqiang Xiao; Mingyong Li; Shaofan Li; Bo Zhao; Jiangtao Ji 001 (Comput. Electron. Agric., 2024)

Many-Turn Jailbreaking. - Xianjun Yang; Liqiang Xiao; Shiyang Li; Faisal Ladhak; Hyokun Yun; Linda Ruth Petzold; Yi Xu; William Yang Wang (CoRR, 2025)

Learn to optimize for automatic proton PBS treatment planning for H&N cancers. - Qingqing Wang; Liqiang Xiao; Chang Chang (CoRR, 2025)