Gaussian Process for Recommender Systems. - Qi Liu 003; Enhong Chen; Biao Xiang; Chris H. Q. Ding; Liang He 010 (KSEM, 2011)

Personalized next-song recommendation in online karaokes. - Xiang Wu; Qi Liu 003; Enhong Chen; Liang He 010; Jingsong Lv; Can Cao; Guoping Hu (RecSys, 2013)

Distributed real-time knowledge graph serving. - Liang He 010; Bin Shao; Yatao Li; Enhong Chen (BigComp, 2015)

Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification. - Yi Zheng; Qi Liu 003; Enhong Chen; J. Leon Zhao; Liang He 010; Guangyi Lv (PAKDD (2), 2015)

Stylus: A Strongly-Typed Store for Serving Massive RDF Data. - Liang He 010; Bin Shao; Yatao Li; Huanhuan Xia; Yanghua Xiao; Enhong Chen; Liang Chen (Proc. VLDB Endow., 2017)

SEEK: Segmented Embedding of Knowledge Graphs. - Wentao Xu; Shun Zheng 001; Liang He 010; Bin Shao; Jian Yin 001; Tie-Yan Liu (ACL, 2020)

CapableOf Reasoning: A Step Towards Commonsense Oracle. - Jingping Liu; Yanghua Xiao; Ao Wang; Liang He 010; Bin Shao (SIGIR, 2020)

Co-evolution Transformer for Protein Contact Prediction. - He Zhang; Fusong Ju; Jianwei Zhu; Liang He 010; Bin Shao; Nanning Zheng 001; Tie-Yan Liu (NeurIPS, 2021)

Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model. - Liang He 010; Shizhuo Zhang; Lijun Wu 003; Huanhuan Xia; Fusong Ju; He Zhang; Siyuan Liu 005; Yingce Xia; Jianwei Zhu; Pan Deng; Bin Shao; Tao Qin 001; et al. (CoRR, 2021)

Improved drug-target interaction prediction with intermolecular graph transformer. - Siyuan Liu 005; Yusong Wang; Yifan Deng; Liang He 010; Bin Shao; Jian Yin 001; Nanning Zheng 001; Tie-Yan Liu; Tong Wang 014 (Briefings Bioinform., 2022)

SPRoBERTa: protein embedding learning with local fragment modeling. - Lijun Wu 003; Chengcan Yin; Jinhua Zhu 001; Zhen Wu 002; Liang He 010; Yingce Xia; Shufang Xie 003; Tao Qin 001; Tie-Yan Liu (Briefings Bioinform., 2022)

Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design. - Kaiyuan Gao; Lijun Wu 003; Jinhua Zhu 001; Tianbo Peng; Yingce Xia; Liang He 010; Shufang Xie 003; Tao Qin 001; Haiguang Liu; Kun He 001; Tie-Yan Liu (CoRR, 2022)

Neurally-Guided Semantic Navigation in Knowledge Graph. - Liang He 010; Bin Shao; Yanghua Xiao; Yatao Li; Tie-Yan Liu; Enhong Chen; Huanhuan Xia (IEEE Trans. Big Data, 2022)

Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design. - Kaiyuan Gao; Lijun Wu 003; Jinhua Zhu 001; Tianbo Peng; Yingce Xia; Liang He 010; Shufang Xie 003; Tao Qin 001; Haiguang Liu; Kun He 001; Tie-Yan Liu (KDD, 2023)

SFM-Protein: Integrative Co-evolutionary Pre-training for Advanced Protein Sequence Representation. - Liang He 010; Peiran Jin; Yaosen Min; Shufang Xie 003; Lijun Wu 003; Tao Qin 001; Xiaozhuan Liang; Kaiyuan Gao; Yuliang Jiang; Tie-Yan Liu (CoRR, 2024)

NatureLM: Deciphering the Language of Nature for Scientific Discovery. - Yingce Xia; Peiran Jin; Shufang Xie 003; Liang He 010; Chuan Cao; Renqian Luo; Guoqing Liu; Yue Wang 017; Zequn Liu; Yuan-Jyue Chen; Zekun Guo; Yeqi Bai; et al. (CoRR, 2025)

CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions. - Yangzhe Peng; Kaiyuan Gao; Liang He 010; Yuheng Cong; Haiguang Liu; Kun He 001; Lijun Wu 003 (CoRR, 2025)