CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining. - Liang Zhang 031; Keli Xiao; Hengshu Zhu; Chuanren Liu; Jingyuan Yang 001; Bo Jin 001 (ICDM, 2018)

Exploring Multi-level Mutual Information for Drug-target Interaction Prediction. - Jiatao Chen; Liang Zhang 031; Ke Cheng 003; Bo Jin 001; Xinjiang Lu; Chao Che; Yiwei Liu (BIBM, 2020)

Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation. - Bo Jin 001; Ke Cheng 003; Liang Zhang 031; Yanjie Fu; Minghao Yin; Lu Jiang 007 (CIKM, 2020)

Fast Sparse Connectivity Network Adaption via Meta-Learning. - Bo Jin 001; Ke Cheng 003; Yue Qu; Liang Zhang 031; Keli Xiao; Xinjiang Lu; Xiaopeng Wei (ICDM, 2020)

RAHM: Relation augmented hierarchical multi-task learning framework for reasonable medication stocking. - Yang An; Yakun Mao; Liang Zhang 031; Bo Jin 001; Keli Xiao; Xiaopeng Wei; Jun Yan 010 (J. Biomed. Informatics, 2020)

PASCAL: a pseudo cascade learning framework for breast cancer treatment entity normalization in Chinese clinical text. - Yang An; Jianlin Wang; Liang Zhang 031; Hanyu Zhao; Zhan Gao; Haitao Huang; Zhenguang Du; Zengtao Jiao; Jun Yan 010; Xiaopeng Wei; Bo Jin 001 (BMC Medical Informatics Decis. Mak., 2020)

A Multi-view Confidence-calibrated Framework for Fair and Stable Graph Representation Learning. - Xu Zhang 026; Liang Zhang 031; Bo Jin 001; Xinjiang Lu (ICDM, 2021)

MeSIN: Multilevel selective and interactive network for medication recommendation. - Yang An; Liang Zhang 031; Mao You; Xueqing Tian; Bo Jin 001; Xiaopeng Wei (Knowl. Based Syst., 2021)

Enriching limited information on rare diseases from heterogeneous networks for drug repositioning. - Hongkui Cao; Liang Zhang 031; Bo Jin 001; Shicheng Cheng; Xiaopeng Wei; Chao Che (BMC Medical Informatics Decis. Mak., 2021)

Prediction of Treatment Medicines With Dual Adaptive Sequential Networks. - Yang An; Liang Zhang 031; Haoyu Yang; Leilei Sun; Bo Jin 001; Chuanren Liu; Ruiyun Yu; Xiaopeng Wei (IEEE Trans. Knowl. Data Eng., 2022)

Adaptive Bayesian Meta-Learning for EEG Signal Classification. - Xin Guo; Jianping Zhu 002; Liang Zhang 031; Bo Jin 001; Xiaopeng Wei (BIBM, 2023)

A Global View-Guided Autoregressive Residual Network for Irregular Time Series Classification. - Jianping Zhu 002; Haocheng Tang; Liang Zhang 031; Bo Jin 001; Yi Xu; Xiaopeng Wei (PAKDD (4), 2023)

Predicting Drug-Target Interaction Via Self-Supervised Learning. - Jiatao Chen; Liang Zhang 031; Ke Cheng 003; Bo Jin 001; Xinjiang Lu; Chao Che (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Exploring unsupervised multivariate time series representation learning for chronic disease diagnosis. - Xu Zhang 026; Yaming Wang; Liang Zhang 031; Bo Jin 001; Hongzhe Zhang (Int. J. Data Sci. Anal., 2023)

IEA-GNN: Anchor-aware graph neural network fused with information entropy for node classification and link prediction. - Peiliang Zhang; Jiatao Chen; Chao Che; Liang Zhang 031; Bo Jin 001; Yongjun Zhu (Inf. Sci., 2023)

Multiview Spatial-Temporal Meta-Learning for Multivariate Time Series Forecasting. - Liang Zhang 031; Jianping Zhu 002; Bo Jin 001; Xiaopeng Wei (Sensors, 2024)