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2020 – today
- 2024
[j2]Xin Jin, Xiaowu Zhu, Liqiang Xiao, Mingyong Li, Shaofan Li, Bo Zhao, Jiangtao Ji
:
YOLO-RDS: An efficient algorithm for monitoring the uprightness of seedling transplantation. Comput. Electron. Agric. 218: 108654 (2024)- 2022
- [j1]Liqiang Xiao, Hao He, Yaohui Jin:
FusionSum: Abstractive summarization with sentence fusion and cooperative reinforcement learning. Knowl. Based Syst. 243: 108483 (2022) - [c16]Jidong Tian, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He, Yaohui Jin:
Weakly Supervised Neural Symbolic Learning for Cognitive Tasks. AAAI 2022: 5888-5896 - [c15]Qinyi Du, Qingqing Wang, Keqian Li, Jidong Tian, Liqiang Xiao, Yaohui Jin:
CALM: Commen-Sense Knowledge Augmentation for Document Image Understanding. ACM Multimedia 2022: 3282-3290 - 2021
- [c14]Liqiang Xiao, Jun Ma, Xin Luna Dong, Pascual Martínez-Gómez, Nasser Zalmout, Wei Chen, Tong Zhao, Hao He, Yaohui Jin:
End-to-End Conversational Search for Online Shopping with Utterance Transfer. EMNLP (1) 2021: 3477-3486 - [c13]Jidong Tian, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He, Yaohui Jin:
Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI. EMNLP (1) 2021: 3738-3747 - [c12]Qingqing Wang, Liqiang Xiao, Yue Lu, Yaohui Jin, Hao He:
Towards Reasoning Ability in Scene Text Visual Question Answering. ACM Multimedia 2021: 2281-2289 - [i3]Liqiang Xiao, Jun Ma, Xin Luna Dong, Pascual Martínez-Gómez, Nasser Zalmout, Wei Chen, Tong Zhao, Hao He, Yaohui Jin:
End-to-End Conversational Search for Online Shopping with Utterance Transfer. CoRR abs/2109.05460 (2021) - 2020
- [c11]Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin:
Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning. AAAI 2020: 9306-9313 - [c10]Wenqing Chen, Jidong Tian, Liqiang Xiao, Hao He, Yaohui Jin:
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation. COLING 2020: 1186-1198 - [c9]Wenqing Chen, Jidong Tian, Liqiang Xiao, Hao He, Yaohui Jin:
Exploring Logically Dependent Multi-task Learning with Causal Inference. EMNLP (1) 2020: 2213-2225 - [c8]Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin:
Modeling Content Importance for Summarization with Pre-trained Language Models. EMNLP (1) 2020: 3606-3611
2010 – 2019
- 2018
- [c7]Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin:
Learning What to Share: Leaky Multi-Task Network for Text Classification. COLING 2018: 2055-2065 - [c6]Honglun Zhang, Liqiang Xiao, Wenqing Chen, Yongkun Wang, Yaohui Jin:
Multi-Task Label Embedding for Text Classification. EMNLP 2018: 4545-4553 - [c5]Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin:
MCapsNet: Capsule Network for Text with Multi-Task Learning. EMNLP 2018: 4565-4574 - [c4]Honglun Zhang, Liqiang Xiao, Wenqing Chen, Yongkun Wang, Yaohui Jin:
Generative Warfare Nets: Ensemble via Adversaries and Collaborators. IJCAI 2018: 3075-3081 - [c3]Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin:
Transformable Convolutional Neural Network for Text Classification. IJCAI 2018: 4496-4502 - [c2]Liqiang Xiao, Honglun Zhang, Wenqing Chen:
Gated Multi-Task Network for Text Classification. NAACL-HLT (2) 2018: 726-731 - 2017
- [c1]Honglun Zhang, Liqiang Xiao, Yongkun Wang, Yaohui Jin:
A Generalized Recurrent Neural Architecture for Text Classification with Multi-Task Learning. IJCAI 2017: 3385-3391 - [i2]Honglun Zhang, Liqiang Xiao, Yongkun Wang, Yaohui Jin:
A Generalized Recurrent Neural Architecture for Text Classification with Multi-Task Learning. CoRR abs/1707.02892 (2017) - [i1]Honglun Zhang, Liqiang Xiao, Wenqing Chen, Yongkun Wang, Yaohui Jin:
Multi-Task Label Embedding for Text Classification. CoRR abs/1710.07210 (2017)
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