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Xianbin Ye
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2020 – today
- 2023
- [i5]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:
Pre-Training on Large-Scale Generated Docking Conformations with HelixDock to Unlock the Potential of Protein-ligand Structure Prediction Models. CoRR abs/2310.13913 (2023) - 2022
- [j1]Xianbin Ye, Quanlong Guan
, Weiqi Luo
, Liangda Fang, Zhao-Rong Lai
, Jun Wang:
Molecular substructure graph attention network for molecular property identification in drug discovery. Pattern Recognit. 128: 108659 (2022) - [i4]Xianbin Ye, Ziliang Li, Fei Ma, Zongbi Yi, Pengyong Li, Jun Wang, Peng Gao, Yixuan Qiao, Guotong Xie:
CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer. CoRR abs/2203.00836 (2022) - [i3]Yixuan Qiao, Hao Chen, Yongquan Lai, Jun Wang, Tuozhen Liu, Xianbin Ye, Rui Fang, Peng Gao, Wenfeng Xie, Guotong Xie:
PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking. CoRR abs/2205.11245 (2022) - 2021
- [c2]Zijing Liu
, Xianbin Ye, Xiaoming Fang
, Fan Wang, Hua Wu, Haifeng Wang:
Docking-based Virtual Screening with Multi-Task Learning. BIBM 2021: 381-385 - [c1]Yixuan Qiao, Hao Chen, Tuozhen Liu, Xianbin Ye, Jun Wang, Peng Gao, Guotong Xie:
PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stageRankingtrack: DL. TREC 2021 - [i2]Yixuan Qiao, Hao Chen, Jun Wang, Yihao Chen, Xianbin Ye, Ziliang Li, Xianbiao Qi, Peng Gao, Guotong Xie:
Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model. CoRR abs/2106.15332 (2021) - [i1]Zijing Liu, Xianbin Ye, Xiaoming Fang, Fan Wang, Hua Wu, Haifeng Wang:
Docking-based Virtual Screening with Multi-Task Learning. CoRR abs/2111.09502 (2021)
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last updated on 2024-08-10 01:24 CEST by the dblp team
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