Liang He

20 papers A* 4A 1C 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions.
KDD (2)
Yangzhe Peng, Kaiyuan Gao, Liang He, Yuheng Cong, Haiguang Liu, Kun He, Lijun Wu
2025 J jnl
CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions.
CoRR
Yangzhe Peng, Kaiyuan Gao, Liang He, Yuheng Cong, Haiguang Liu, Kun He, Lijun Wu
2025 J jnl
NatureLM: Deciphering the Language of Nature for Scientific Discovery.
CoRR
Yingce Xia, Peiran Jin, Shufang Xie, Liang He, Chuan Cao, Renqian Luo, Guoqing Liu, Yue Wang, Zequn Liu, Yuan-Jyue Chen, Zekun Guo, Yeqi Bai, Pan Deng, Yaosen Min, Ziheng Lu, Hongxia Hao, Han Yang, Jielan Li, Chang Liu, Jia Zhang, Jianwei Zhu, Kehan Wu, Wei Zhang, Kaiyuan Gao, Qizhi Pei, Qian Wang, Xixian Liu, Yanting Li, Houtian Zhu, Yeqing Lu, Mingqian Ma, Zun Wang, Tian Xie, Krzysztof Maziarz, Marwin H. S. Segler, Zhao Yang, Zilong Chen, Yu Shi, Shuxin Zheng, Lijun Wu, Chen Hu, Peggy Dai, Tie-Yan Liu, Haiguang Liu, Tao Qin
2024 J jnl
SFM-Protein: Integrative Co-evolutionary Pre-training for Advanced Protein Sequence Representation.
CoRR
Liang He, Peiran Jin, Yaosen Min, Shufang Xie, Lijun Wu, Tao Qin, Xiaozhuan Liang, Kaiyuan Gao, Yuliang Jiang, Tie-Yan Liu
2023 A* conf
Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design.
KDD
Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu
2022 J jnl
Improved drug-target interaction prediction with intermolecular graph transformer.
Briefings Bioinform.
Siyuan Liu, Yusong Wang, Yifan Deng, Liang He, Bin Shao, Jian Yin, Nanning Zheng, Tie-Yan Liu, Tong Wang
2022 J jnl
Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design.
CoRR
Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu
2022 J jnl
Neurally-Guided Semantic Navigation in Knowledge Graph.
IEEE Trans. Big Data
Liang He, Bin Shao, Yanghua Xiao, Yatao Li, Tie-Yan Liu, Enhong Chen, Huanhuan Xia
2022 J jnl
SPRoBERTa: protein embedding learning with local fragment modeling.
Briefings Bioinform.
Lijun Wu, Chengcan Yin, Jinhua Zhu, Zhen Wu, Liang He, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu
2021 A* conf
Co-evolution Transformer for Protein Contact Prediction.
NeurIPS
He Zhang, Fusong Ju, Jianwei Zhu, Liang He, Bin Shao, Nanning Zheng, Tie-Yan Liu
2021 J jnl
Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer.
CoRR
Siyuan Liu, Yusong Wang, Tong Wang, Yifan Deng, Liang He, Bin Shao, Jian Yin, Nanning Zheng, Tie-Yan Liu
2021 J jnl
Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model.
CoRR
Liang He, Shizhuo Zhang, Lijun Wu, Huanhuan Xia, Fusong Ju, He Zhang, Siyuan Liu, Yingce Xia, Jianwei Zhu, Pan Deng, Bin Shao, Tao Qin, Tie-Yan Liu
2020 A* conf
CapableOf Reasoning: A Step Towards Commonsense Oracle.
SIGIR
Jingping Liu, Yanghua Xiao, Ao Wang, Liang He, Bin Shao
2020 A* conf
SEEK: Segmented Embedding of Knowledge Graphs.
ACL
Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin, Tie-Yan Liu
2020 J jnl
SEEK: Segmented Embedding of Knowledge Graphs.
CoRR
Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin, Tie-Yan Liu
2017 J jnl
Stylus: A Strongly-Typed Store for Serving Massive RDF Data.
Proc. VLDB Endow.
Liang He, Bin Shao, Yatao Li, Huanhuan Xia, Yanghua Xiao, Enhong Chen, Liang Chen
2015 — conf
Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification.
PAKDD (2)
Yi Zheng, Qi Liu, Enhong Chen, J. Leon Zhao, Liang He, Guangyi Lv
2015 — conf
Distributed real-time knowledge graph serving.
BigComp
Liang He, Bin Shao, Yatao Li, Enhong Chen
2013 A conf
Personalized next-song recommendation in online karaokes.
RecSys
Xiang Wu, Qi Liu, Enhong Chen, Liang He, Jingsong Lv, Can Cao, Guoping Hu
2011 C conf
Gaussian Process for Recommender Systems.
KSEM
Qi Liu, Enhong Chen, Biao Xiang, Chris H. Q. Ding, Liang He