科研项目
国家自然科学基金面上项目,面向多肽药物设计的深度学习方法研究(62372159),2024-2027。
国家自然科学基金青年项目,高通量测序的序列数据压缩算法研究(62102140),2022-2024。
学生培养
学术论文
主要论文 (*为通讯作者)
Leshan Lai, Yuansheng Liu*, Bosheng Song*, Keqin Li, Xiangxiang Zeng. Deep Generative Models for Therapeutic Peptide Discovery: A Comprehensive Review. ACM Computing Survey. 2025, 57(6), 1-29. (计算机顶级期刊、中科院一区)
Xixi Yang, Yanjing Duan, Zhixiang Cheng, Kun Li, Yuansheng Liu*, Xiangxiang Zeng, Dongsheng Cao*. MPCD: A multi-task graph Transformer for molecular property prediction by integrating common and domain knowledge. Journal of Medicinal Chemistry, 2024, 67(23), 21303-23316. (药物化学顶级期刊、中科院一区)
Yuansheng Liu, Yichen Li, Enlian Chen, Jialu Xu, Wenhai Zhang, Xiangxiang Zeng, Xiao Luo*. Repeat and haplotype aware error correction in nanopore sequencing reads with DeChat. Communications Biology. 2024, 7 1678. (Nature旗下期刊、中科院一区)
Tao Tang, Tianyang Li, Weizhuo Li, Xiaofeng Cao, Yuansheng Liu*, Xiangxiang Zeng. Anti-symmetric-based framework for balanced learning of protein–protein interaction. Bioinformatics, 2024, 40(10): btae603.
Wen Tao, Yuansheng Liu*, Xuan Lin, Bosheng Song, Xiangxiang Zeng. Prediction of multi-relational drug-gene interaction via Dynamic hyperGraph Contrastive Learning. Briefings in Bioinformatics, 2023, 24(5): bbad371.
Xixi Yang, Li Fu, Yafeng Deng, Yuansheng Liu*, Dongsheng Cao*, Xiangxiang Zeng*. GPMO: Gradient perturbation-based contrastive learning for molecule optimization. IJCAI, 2023: 4940-4948. (CCF A类会议)
Yuansheng Liu, Jinyan Li. Hamming-Shifting graph of genomic short reads: efficient construction and its application for compression. PLOS Computational Biology, 2021, 17 (7), e1009229. (生物信息学顶刊,中科院小类一区)
Yuansheng Liu, Xiaocai Zhang, Quan Zou, Xiangxiang Zeng. Minirmd: accurate and fast duplicate removal tool for short reads via multiple minimizers. Bioinformatics, 2021, 37 (11), 1604-1606. (生物信息学顶刊,中科院小类一区)