Zequn Liu

According to our database, Zequn Liu authored at least 18 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs.

Wei Ju, Zequn Liu, Yifang Qin, Bin Feng, Chen Wang, Zhihui Guo, Xiao Luo, Ming Zhang

Neural Networks, 2023

A Comprehensive Survey on Deep Graph Representation Learning.

Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Xiao Luo, Ming Zhang

CoRR, 2023

Robust Dancer: Long-term 3D Dance Synthesis Using Unpaired Data.

Bin Feng, Tenglong Ao, Zequn Liu, Wei Ju, Libin Liu, Ming Zhang

CoRR, 2023

MolXPT: Wrapping Molecules with Text for Generative Pre-training.

Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Three-dimensional piecewise guidance strategy for multi-UAVs guaranteeing simultaneous arrival and field-of-view constraint.

Jun Zhou, Zequn Liu, Jianguo Guo, Zongyi Guo

Trans. Inst. Meas. Control, 2022

Pathway2Text: Dataset and Method for Biomedical Pathway Description Generation.

Junwei Yang, Zequn Liu, Ming Zhang, Sheng Wang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks.

Zequn Liu, Kefei Duan, Junwei Yang, Hanwen Xu, Ming Zhang, Sheng Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Pinning Control of Boolean Networks via Injection Mode.

Zequn Liu, Daizhan Cheng, Jiangbo Liu

IEEE Trans. Control. Netw. Syst., 2021

Graphine: A Dataset for Graph-aware Terminology Definition Generation.

Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, Sheng Wang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Completeness and normal form of multi-valued logical functions.

Daizhan Cheng, Zequn Liu, Hongsheng Qi

J. Frankl. Inst., 2020

When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications.

Zequn Liu, Ruiyi Zhang, Yiping Song, Ming Zhang

CoRR, 2020

Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases.

Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yiping Song, Ming Zhang

Proceedings of the AMIA 2020, 2020

Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks.

Yiping Song, Zequn Liu, Wei Bi, Rui Yan, Ming Zhang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Learning to Customize Language Model for Generation-based dialog systems.

Yiping Song, Zequn Liu, Wei Bi, Rui Yan, Ming Zhang

CoRR, 2019

Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation.

Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang

CoRR, 2019

Early Prediction of Sepsis From Clinical Data via Heterogeneous Event Aggregation.

Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang

Proceedings of the 46th Computing in Cardiology, 2019

2018

From STP to game-based control.

Daizhan Cheng, Hongsheng Qi, Zequn Liu

Sci. China Inf. Sci., 2018

Linear System on Dimension-Varying State Space.

Daizhan Cheng, Hongsheng Qi, Zequn Liu

Proceedings of the 14th IEEE International Conference on Control and Automation, 2018