Xianbin Ye

According to our database, Xianbin Ye authored at least 7 papers between 2021 and 2023.

Collaborative distances:

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

2023

Pre-Training on Large-Scale Generated Docking Conformations with HelixDock to Unlock the Potential of Protein-ligand Structure Prediction Models.

Lihang Liu, Donglong He, Xianbin Ye, Shanzhuo Zhang, Xiaonan Zhang, Jingbo Zhou, Jun Li, Hua Chai, Fan Wang, Jingzhou He, Liang Zheng, Yonghui Li, Xiaomin Fang

CoRR, 2023

2022

Molecular substructure graph attention network for molecular property identification in drug discovery.

Xianbin Ye, Quanlong Guan, Weiqi Luo, Liangda Fang, Zhao-Rong Lai, Jun Wang

Pattern Recognit., 2022

PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking.

Yixuan Qiao, Hao Chen, Yongquan Lai, Jun Wang, Tuozhen Liu, Xianbin Ye, Rui Fang, Peng Gao, Wenfeng Xie, Guotong Xie

CoRR, 2022

CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer.

Xianbin Ye, Ziliang Li, Fei Ma, Zongbi Yi, Pengyong Li, Jun Wang, Peng Gao, Yixuan Qiao, Guotong Xie

CoRR, 2022

2021

Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model.

Yixuan Qiao, Hao Chen, Jun Wang, Yihao Chen, Xianbin Ye, Ziliang Li, Xianbiao Qi, Peng Gao, Guotong Xie

CoRR, 2021

PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stageRankingtrack: DL.

Yixuan Qiao, Hao Chen, Tuozhen Liu, Xianbin Ye, Jun Wang, Peng Gao, Guotong Xie

Proceedings of the Thirtieth Text REtrieval Conference, 2021

Docking-based Virtual Screening with Multi-Task Learning.

Zijing Liu, Xianbin Ye, Xiaoming Fang, Fan Wang, Hua Wu, Haifeng Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021