Chinese Patent Mining Based on Sememe Statistics and Key-Phrase Extraction. - Bo Jin 001; Hongfei Teng; Yanjun Shi; Fuzheng Qu (ADMA, 2007)

A similarity measure of Jumping Dynamic Time Warping. - Lin Feng 001; Xiaoyan Zhao; Yiwei Liu; Yuan Yao; Bo Jin 001 (FSKD, 2010)

Research on Maximal Frequent Pattern Outlier Factor for Online High-Dimensional Time-Series Outlier Detection. - Lin Feng 001; Le Wang; Bo Jin 001 (J. Convergence Inf. Technol., 2010)

UT-Tree: Efficient mining of high utility itemsets from data streams. - Lin Feng 001; Le Wang; Bo Jin 001 (Intell. Data Anal., 2013)

Maximal Similarity Embedding. - Lin Feng 001; Shenglan Liu 001; Zhen-Yu Wu; Bo Jin 001 (Neurocomputing, 2013)

Technology Prospecting for High Tech Companies through Patent Mining. - Bo Jin 001; Yong Ge; Hengshu Zhu; Li Guo 008; Hui Xiong 001; Chao Zhang (ICDM, 2014)

Sliding Window-based Frequent Itemsets Mining over Data Streams using Tail Pointer Table. - Le Wang; Lin Feng 001; Bo Jin 001 (Int. J. Comput. Intell. Syst., 2014)

Efficient Methods for Multi-label Classification. - Chonglin Sun; Chunting Zhou; Bo Jin 001; Francis C. M. Lau 001 (PAKDD (1), 2015)

Minimizing Legal Exposure of High-Tech Companies through Collaborative Filtering Methods. - Bo Jin 001; Chao Che; Kuifei Yu; Yue Qu; Li Guo 008; Cuili Yao; Ruiyun Yu; Qiang Zhang 008 (KDD, 2016)

Multi-Label Classification Methods for Green Computing and Application for Mobile Medical Recommendations. - Li Guo 008; Bo Jin 001; Ruiyun Yu; Cuili Yao; Chonglin Sun; Degen Huang (IEEE Access, 2016)

A Convolutional Neural Network Model for Online Medical Guidance. - Cuili Yao; Yue Qu; Bo Jin 001; Li Guo 008; Chao Li; Wenjuan Cui; Lin Feng 001 (IEEE Access, 2016)

Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction. - Bo Jin 001; Haoyu Yang; Cao Xiao; Ping Zhang 016; Xiaopeng Wei; Fei Wang 001 (AAAI, 2017)

Exploring risk factors and predicting UPDRS score based on Parkinson's speech signals. - Jianxin Zhang 001; Weifeng Xu; Qiang Zhang 008; Bo Jin 001; Xiaopeng Wei (Healthcom, 2017)

An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease. - Chao Che; Cao Xiao; Jian Liang 002; Bo Jin 001; Jiayu Zho; Fei Wang 001 (SDM, 2017)

Chemical Medicine Classification Through Chemical Properties Analysis. - Degen Huang; Li Guo 008; H. Y. Yang; X. P. Wei; Bo Jin 001 (IEEE Access, 2017)

Dr. Right!: Embedding-Based Adaptively-Weighted Mixture Multi-classification Model for Finding Right Doctors with Healthcare Experience Data. - Xin Xu; Yanjie Fu; Haoyi Xiong; Bo Jin 001; Xiaolin Li; Shuli Hu; Minghao Yin (ICDM, 2018)

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)

A Treatment Engine by Predicting Next-Period Prescriptions. - Bo Jin 001; Haoyu Yang; Leilei Sun; Chuanren Liu; Yue Qu; Jianing Tong (KDD, 2018)

Predicting the Risk of Heart Failure With EHR Sequential Data Modeling. - Bo Jin 001; Chao Che; Zhen Liu; Shulong Zhang; Xiaomeng Yin; Xiaopeng Wei (IEEE Access, 2018)

Particle classification optimization-based BP network for telecommunication customer churn prediction. - Ruiyun Yu; Xuanmiao An; Bo Jin 001; Jia Shi; Ann Move Oguti; Yonghe Liu (Neural Comput. Appl., 2018)

A Parallel Simulated Annealing Enhancement of the Optimal-Matching Heuristic for Ridesharing. - Lihao Zhang; Zeyang Ye; Keli Xiao; Bo Jin 001 (ICDM, 2019)

An Exact Algorithm for Minimum Weight Vertex Cover Problem in Large Graphs. - Luzhi Wang; Chu-Min Li 001; Junping Zhou; Bo Jin 001; Minghao Yin (CoRR, 2019)

Unsupervised EEG feature extraction based on echo state network. - Leilei Sun; Bo Jin 001; Haoyu Yang; Jianing Tong; Chuanren Liu; Hui Xiong 001 (Inf. Sci., 2019)

Learning a Distance Metric by Balancing KL-Divergence for Imbalanced Datasets. - Lin Feng 001; Huibing Wang; Bo Jin 001; Haohao Li; Mingliang Xue; Le Wang (IEEE Trans. Syst. Man Cybern. Syst., 2019)

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)

Contour-Aware Recurrent Cross Constraint Network for Salient Object Detection. - Cuili Yao; Yuqiu Kong; Lin Feng 001; Bo Jin 001; Hui Si (IEEE Access, 2020)

Knowledge-driven drug repurposing using a comprehensive drug knowledge graph. - Yongjun Zhu; Chao Che; Bo Jin 001; Ningrui Zhang; Chang Su 002; Fei Wang 001 (Health Informatics J., 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)

Multi-view reconstructive preserving embedding for dimension reduction. - Huibing Wang; Lin Feng 001; Adong Kong; Bo Jin 001 (Soft Comput., 2020)

Unified Generative Adversarial Networks for Multiple-Choice Oriented Machine Comprehension. - Zhuang Liu 001; Keli Xiao; Bo Jin 001; Kaiyu Huang; Degen Huang; Yunxia Zhang (ACM Trans. Intell. Syst. Technol., 2020)

Aspect-Level Sentiment Classification of Chinese Patient Comments Based on Pre-trained Sentiment Embedding. - Yongxue Shan; Zhaoqian Zhong; Chao Che; Bo Jin 001; Xiaopeng Wei (BIBM, 2021)

A Doctor Recommendation Framework for Online Medical Platforms Using Multi-Source Heterogeneous Data. - Mingxuan Che; Lasheng Zhao; Bo Jin 001 (ICCAI, 2021)

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)

EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling. - Lu Jiang 007; Pengyang Wang; Ke Cheng 003; Kunpeng Liu 001; Minghao Yin; Bo Jin 001; Yanjie Fu (SDM, 2021)

Completely blind image quality assessment via contourlet energy statistics. - Chaofeng Li; Tuxin Guan; Yuhui Zheng; Bo Jin 001; Xiaojun Wu 001; Alan C. Bovik (IET Image Process., 2021)

Bi-DAINet: Bi-Directional Discard-Accept-Integrate Network for salient object detection. - Cuili Yao; Lin Feng 001; Yuqiu Kong; Bo Jin 001; Yiwei Liu; Leheng Li (Neurocomputing, 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)

Constrained transformer network for ECG signal processing and arrhythmia classification. - Chao Che; Peiliang Zhang; Min Zhu; Yue Qu; Bo Jin 001 (BMC Medical Informatics Decis. Mak., 2021)

Medication Prediction Using Memory Augmented Heterogeneous Information Fusion Network. - Yang An; Yufeng Sun; Bo Jin 001; Xiaopeng Wei (BigCom, 2022)

DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug-Target interaction prediction. - Peiliang Zhang; Ziqi Wei 001; Chao Che; Bo Jin 001 (Comput. Biol. Medicine, 2022)

KnowAugNet: Multi-Source Medical Knowledge Augmented Medication Prediction Network with Multi-Level Graph Contrastive Learning. - Yang An; Bo Jin 001; Xiaopeng Wei (CoRR, 2022)

Bi-graph attention network for aspect category sentiment classification. - Yongxue Shan; Chao Che; Xiaopeng Wei; Xiaodong Wang; Yongjun Zhu; Bo Jin 001 (Knowl. Based Syst., 2022)

Domain-Aware Word Segmentation for Chinese Language: A Document-Level Context-Aware Model. - Kaiyu Huang; Keli Xiao; Fengran Mo; Bo Jin 001; Zhuang Liu 001; Degen Huang (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022)

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)

CFFNN: Cross Feature Fusion Neural Network for Collaborative Filtering. - Ruiyun Yu; Dezhi Ye; Zhihong Wang; Biyun Zhang; Ann Move Oguti; Jie Li 008; Bo Jin 001; Fadi J. Kurdahi (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)

Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution. - Yan Li; Xinjiang Lu; Haoyi Xiong; Jian Tang; Jiantao Su; Bo Jin 001; Dejing Dou (ICDE, 2023)

Decentralised Biomedical Signal Classification using Early Exits. - Li Xiaolin; Hans Vandierendonck; Dimitrios S. Nikolopoulos; Bo Jin 001; Barry Cardiff; Deepu John (NEWCAS, 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)

CariesFG: A fine-grained RGB image classification framework with attention mechanism for dental caries. - Hao Jiang; Peiliang Zhang; Chao Che; Bo Jin 001; Yongjun Zhu (Eng. Appl. Artif. Intell., 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)

Diagnostic Sparse Connectivity Networks With Regularization Template. - Yue Qu; Chuanren Liu; Kai Zhang 001; Keli Xiao; Bo Jin 001; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 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)

KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning. - Yang An; Haocheng Tang; Bo Jin 001; Yi Xu; Xiaopeng Wei (BMC Medical Informatics Decis. Mak., 2023)

Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder. - Qiang Zhou; Xinjiang Lu; Jingjing Gu; Zhe Zheng; Bo Jin 001; Jingbo Zhou (AAAI, 2024)

Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction. - Jianping Zhu 002; Xin Guo; Yang Chen; Yao Yang; Wenbo Li; Bo Jin 001; Fei Wu (AAAI, 2024)

FreAML: A Frequency-Domain Adaptive Meta-Learning Framework for EEG-Based Emotion Recognition. - Lei Wang 196; Jianping Zhu 002; Le Du; Bo Jin 001; Xiaopeng Wei (BIBM, 2024)

Variational Autoencoder-Based Framework for Retail Sales Prediction. - Fuyu Li; Lei Wang 196; Bo Jin 001 (IEEE Access, 2024)

HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models in Resource-Constrained Environments. - Kazi Hasan Ibn Arif; JinYi Yoon; Dimitrios S. Nikolopoulos; Hans Vandierendonck; Deepu John; Bo Jin 001 (CoRR, 2024)

NCH-DDA: Neighborhood contrastive learning heterogeneous network for drug-disease association prediction. - Peiliang Zhang; Chao Che; Bo Jin 001; Jingling Yuan; Ruixin Li; Yongjun Zhu (Expert Syst. Appl., 2024)

GC-STCL: A Granger Causality-Based Spatial-Temporal Contrastive Learning Framework for EEG Emotion Recognition. - Lei Wang 196; Siming Wang; Bo Jin 001; Xiaopeng Wei (Entropy, 2024)

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

MGHSTCKW: Predicting miRNA-drug sensitivity association using hypergraph sparse transformer and hypergraph-induced contrastive learning based on meta-path. - Dong Ouyang; Bo Jin 001; Jing Tian; Pingtao Duan; Lin Lin; Xiongfeng Zhu; Shaocan Fan; Rui Miao 002; Ning Ai (Expert Syst. Appl., 2025)