Bo Jin

77 papers A* 12A 4B 1C 2Journal 48Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hierarchical prototype-guided representation learning for robust graph classification.
Inf. Sci.
Liang Zhang, Kongyu Chen, Bo Jin, Xiaopeng Wei
2025 J jnl
MGHSTCKW: Predicting miRNA-drug sensitivity association using hypergraph sparse transformer and hypergraph-induced contrastive learning based on meta-path.
Expert Syst. Appl.
Dong Ouyang, Bo Jin, Jing Tian, Pingtao Duan, Lin Lin, Xiongfeng Zhu, Shaocan Fan, Rui Miao, Ning Ai
2025 J jnl
MGTNSyn: Molecular structure-aware graph transformer network with relational attention for drug synergy prediction.
Expert Syst. Appl.
Yunjiong Liu, Peiliang Zhang, Dongyang Li, Chao Che, Bo Jin
2025 J jnl
Robust Time Series Contrastive Representation Learning via Explicit Seasonal-Trend Disentanglement.
IEEE Access
Fuyu Li, Bo Jin
2025 J jnl
Self-Supervised Disentangled Representation Learning for Time Series Anomaly Detection.
IEEE Internet Things J.
Liang Zhang, Jianping Zhu, Guangjie Han, Bo Jin, Pengfei Wang, Xiaopeng Wei
2025 A conf
Transformer-Based Multi-Agent Reinforcement Learning Method With Credit-Oriented Strategy Differentiation.
IROS
Kaixuan Huang, Bo Jin, Kun Zhang, Haiyin Piao, Ziqi Wei
2024 A* conf
Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction.
AAAI
Jianping Zhu, Xin Guo, Yang Chen, Yao Yang, Wenbo Li, Bo Jin, Fei Wu
2024 A* conf
Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder.
AAAI
Qiang Zhou, Xinjiang Lu, Jingjing Gu, Zhe Zheng, Bo Jin, Jingbo Zhou
2024 — conf
FreAML: A Frequency-Domain Adaptive Meta-Learning Framework for EEG-Based Emotion Recognition.
BIBM
Lei Wang, Jianping Zhu, Le Du, Bo Jin, Xiaopeng Wei
2024 J jnl
GC-STCL: A Granger Causality-Based Spatial-Temporal Contrastive Learning Framework for EEG Emotion Recognition.
Entropy
Lei Wang, Siming Wang, Bo Jin, Xiaopeng Wei
2024 J jnl
HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models in Resource-Constrained Environments.
CoRR
Kazi Hasan Ibn Arif, JinYi Yoon, Dimitrios S. Nikolopoulos, Hans Vandierendonck, Deepu John, Bo Jin
2024 B conf
Multi-view Time-frequency Contrastive Learning for Emotion Recognition.
CogSci
Lei Wang, Jianping Zhu, Bo Jin, Xiaopeng Wei
2024 J jnl
Multiview Spatial-Temporal Meta-Learning for Multivariate Time Series Forecasting.
Sensors
Liang Zhang, Jianping Zhu, Bo Jin, Xiaopeng Wei
2024 J jnl
NCH-DDA: Neighborhood contrastive learning heterogeneous network for drug-disease association prediction.
Expert Syst. Appl.
Peiliang Zhang, Chao Che, Bo Jin, Jingling Yuan, Ruixin Li, Yongjun Zhu
2024 J jnl
Variational Autoencoder-Based Framework for Retail Sales Prediction.
IEEE Access
Fuyu Li, Lei Wang, Bo Jin
2023 — conf
A Global View-Guided Autoregressive Residual Network for Irregular Time Series Classification.
PAKDD (4)
Jianping Zhu, Haocheng Tang, Liang Zhang, Bo Jin, Yi Xu, Xiaopeng Wei
2023 — conf
Adaptive Bayesian Meta-Learning for EEG Signal Classification.
BIBM
Xin Guo, Jianping Zhu, Liang Zhang, Bo Jin, Xiaopeng Wei
2023 J jnl
CariesFG: A fine-grained RGB image classification framework with attention mechanism for dental caries.
Eng. Appl. Artif. Intell.
Hao Jiang, Peiliang Zhang, Chao Che, Bo Jin, Yongjun Zhu
2023 — conf
Decentralised Biomedical Signal Classification using Early Exits.
NEWCAS
Li Xiaolin, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Bo Jin, Barry Cardiff, Deepu John
2023 J jnl
Diagnostic Sparse Connectivity Networks With Regularization Template.
IEEE Trans. Knowl. Data Eng.
Yue Qu, Chuanren Liu, Kai Zhang, Keli Xiao, Bo Jin, Hui Xiong
2023 J jnl
Exploring unsupervised multivariate time series representation learning for chronic disease diagnosis.
Int. J. Data Sci. Anal.
Xu Zhang, Yaming Wang, Liang Zhang, Bo Jin, Hongzhe Zhang
2023 J jnl
IEA-GNN: Anchor-aware graph neural network fused with information entropy for node classification and link prediction.
Inf. Sci.
Peiliang Zhang, Jiatao Chen, Chao Che, Liang Zhang, Bo Jin, Yongjun Zhu
2023 J jnl
KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning.
BMC Medical Informatics Decis. Mak.
Yang An, Haocheng Tang, Bo Jin, Yi Xu, Xiaopeng Wei
2023 J jnl
Predicting Drug-Target Interaction Via Self-Supervised Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jiatao Chen, Liang Zhang, Ke Cheng, Bo Jin, Xinjiang Lu, Chao Che
2023 A* conf
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution.
ICDE
Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou
2023 J jnl
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution.
CoRR
Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou
2022 J jnl
Bi-graph attention network for aspect category sentiment classification.
Knowl. Based Syst.
Yongxue Shan, Chao Che, Xiaopeng Wei, Xiaodong Wang, Yongjun Zhu, Bo Jin
2022 J jnl
CFFNN: Cross Feature Fusion Neural Network for Collaborative Filtering.
IEEE Trans. Knowl. Data Eng.
Ruiyun Yu, Dezhi Ye, Zhihong Wang, Biyun Zhang, Ann Move Oguti, Jie Li, Bo Jin, Fadi J. Kurdahi
2022 J jnl
DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug-Target interaction prediction.
Comput. Biol. Medicine
Peiliang Zhang, Ziqi Wei, Chao Che, Bo Jin
2022 J jnl
Domain-Aware Word Segmentation for Chinese Language: A Document-Level Context-Aware Model.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Kaiyu Huang, Keli Xiao, Fengran Mo, Bo Jin, Zhuang Liu, Degen Huang
2022 J jnl
KnowAugNet: Multi-Source Medical Knowledge Augmented Medication Prediction Network with Multi-Level Graph Contrastive Learning.
CoRR
Yang An, Bo Jin, Xiaopeng Wei
2022 — conf
Medication Prediction Using Memory Augmented Heterogeneous Information Fusion Network.
BigCom
Yang An, Yufeng Sun, Bo Jin, Xiaopeng Wei
2022 J jnl
Prediction of Treatment Medicines With Dual Adaptive Sequential Networks.
IEEE Trans. Knowl. Data Eng.
Yang An, Liang Zhang, Haoyu Yang, Leilei Sun, Bo Jin, Chuanren Liu, Ruiyun Yu, Xiaopeng Wei
2021 — conf
A Doctor Recommendation Framework for Online Medical Platforms Using Multi-Source Heterogeneous Data.
ICCAI
Mingxuan Che, Lasheng Zhao, Bo Jin
2021 A* conf
A Multi-view Confidence-calibrated Framework for Fair and Stable Graph Representation Learning.
ICDM
Xu Zhang, Liang Zhang, Bo Jin, Xinjiang Lu
2021 — conf
Aspect-Level Sentiment Classification of Chinese Patient Comments Based on Pre-trained Sentiment Embedding.
BIBM
Yongxue Shan, Zhaoqian Zhong, Chao Che, Bo Jin, Xiaopeng Wei
2021 J jnl
Bi-DAINet: Bi-Directional Discard-Accept-Integrate Network for salient object detection.
Neurocomputing
Cuili Yao, Lin Feng, Yuqiu Kong, Bo Jin, Yiwei Liu, Leheng Li
2021 J jnl
Completely blind image quality assessment via contourlet energy statistics.
IET Image Process.
Chaofeng Li, Tuxin Guan, Yuhui Zheng, Bo Jin, Xiaojun Wu, Alan C. Bovik
2021 J jnl
Constrained transformer network for ECG signal processing and arrhythmia classification.
BMC Medical Informatics Decis. Mak.
Chao Che, Peiliang Zhang, Min Zhu, Yue Qu, Bo Jin
2021 A conf
EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling.
SDM
Lu Jiang, Pengyang Wang, Ke Cheng, Kunpeng Liu, Minghao Yin, Bo Jin, Yanjie Fu
2021 J jnl
Enriching limited information on rare diseases from heterogeneous networks for drug repositioning.
BMC Medical Informatics Decis. Mak.
Hongkui Cao, Liang Zhang, Bo Jin, Shicheng Cheng, Xiaopeng Wei, Chao Che
2021 J jnl
MeSIN: Multilevel Selective and Interactive Network for Medication Recommendation.
CoRR
Yang An, Liang Zhang, Mao You, Xueqing Tian, Bo Jin, Xiaopeng Wei
2021 J jnl
MeSIN: Multilevel selective and interactive network for medication recommendation.
Knowl. Based Syst.
Yang An, Liang Zhang, Mao You, Xueqing Tian, Bo Jin, Xiaopeng Wei
2020 J jnl
Contour-Aware Recurrent Cross Constraint Network for Salient Object Detection.
IEEE Access
Cuili Yao, Yuqiu Kong, Lin Feng, Bo Jin, Hui Si
2020 — conf
Exploring Multi-level Mutual Information for Drug-target Interaction Prediction.
BIBM
Jiatao Chen, Liang Zhang, Ke Cheng, Bo Jin, Xinjiang Lu, Chao Che, Yiwei Liu
2020 A* conf
Fast Sparse Connectivity Network Adaption via Meta-Learning.
ICDM
Bo Jin, Ke Cheng, Yue Qu, Liang Zhang, Keli Xiao, Xinjiang Lu, Xiaopeng Wei
2020 J jnl
Knowledge-driven drug repurposing using a comprehensive drug knowledge graph.
Health Informatics J.
Yongjun Zhu, Chao Che, Bo Jin, Ningrui Zhang, Chang Su, Fei Wang
2020 J jnl
Multi-view reconstructive preserving embedding for dimension reduction.
Soft Comput.
Huibing Wang, Lin Feng, Adong Kong, Bo Jin
2020 J jnl
PASCAL: a pseudo cascade learning framework for breast cancer treatment entity normalization in Chinese clinical text.
BMC Medical Informatics Decis. Mak.
Yang An, Jianlin Wang, Liang Zhang, Hanyu Zhao, Zhan Gao, Haitao Huang, Zhenguang Du, Zengtao Jiao, Jun Yan, Xiaopeng Wei, Bo Jin
2020 A conf
Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation.
CIKM
Bo Jin, Ke Cheng, Liang Zhang, Yanjie Fu, Minghao Yin, Lu Jiang
2020 J jnl
RAHM: Relation augmented hierarchical multi-task learning framework for reasonable medication stocking.
J. Biomed. Informatics
Yang An, Yakun Mao, Liang Zhang, Bo Jin, Keli Xiao, Xiaopeng Wei, Jun Yan
2020 J jnl
Unified Generative Adversarial Networks for Multiple-Choice Oriented Machine Comprehension.
ACM Trans. Intell. Syst. Technol.
Zhuang Liu, Keli Xiao, Bo Jin, Kaiyu Huang, Degen Huang, Yunxia Zhang
2019 A* conf
A Parallel Simulated Annealing Enhancement of the Optimal-Matching Heuristic for Ridesharing.
ICDM
Lihao Zhang, Zeyang Ye, Keli Xiao, Bo Jin
2019 J jnl
An Exact Algorithm for Minimum Weight Vertex Cover Problem in Large Graphs.
CoRR
Luzhi Wang, Chu-Min Li, Junping Zhou, Bo Jin, Minghao Yin
2019 J jnl
Learning a Distance Metric by Balancing KL-Divergence for Imbalanced Datasets.
IEEE Trans. Syst. Man Cybern. Syst.
Lin Feng, Huibing Wang, Bo Jin, Haohao Li, Mingliang Xue, Le Wang
2019 J jnl
Unsupervised EEG feature extraction based on echo state network.
Inf. Sci.
Leilei Sun, Bo Jin, Haoyu Yang, Jianing Tong, Chuanren Liu, Hui Xiong
2018 A* conf
A Treatment Engine by Predicting Next-Period Prescriptions.
KDD
Bo Jin, Haoyu Yang, Leilei Sun, Chuanren Liu, Yue Qu, Jianing Tong
2018 A* conf
CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining.
ICDM
Liang Zhang, Keli Xiao, Hengshu Zhu, Chuanren Liu, Jingyuan Yang, Bo Jin
2018 A* conf
Dr. Right!: Embedding-Based Adaptively-Weighted Mixture Multi-classification Model for Finding Right Doctors with Healthcare Experience Data.
ICDM
Xin Xu, Yanjie Fu, Haoyi Xiong, Bo Jin, Xiaolin Li, Shuli Hu, Minghao Yin
2018 J jnl
Multi-view Reconstructive Preserving Embedding for Dimension Reduction.
CoRR
Huibing Wang, Lin Feng, Adong Kong, Bo Jin
2018 J jnl
Particle classification optimization-based BP network for telecommunication customer churn prediction.
Neural Comput. Appl.
Ruiyun Yu, Xuanmiao An, Bo Jin, Jia Shi, Ann Move Oguti, Yonghe Liu
2018 J jnl
Predicting the Risk of Heart Failure With EHR Sequential Data Modeling.
IEEE Access
Bo Jin, Chao Che, Zhen Liu, Shulong Zhang, Xiaomeng Yin, Xiaopeng Wei
2017 A conf
An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease.
SDM
Chao Che, Cao Xiao, Jian Liang, Bo Jin, Jiayu Zho, Fei Wang
2017 J jnl
Chemical Medicine Classification Through Chemical Properties Analysis.
IEEE Access
Degen Huang, Li Guo, H. Y. Yang, X. P. Wei, Bo Jin
2017 C conf
Exploring risk factors and predicting UPDRS score based on Parkinson's speech signals.
Healthcom
Jianxin Zhang, Weifeng Xu, Qiang Zhang, Bo Jin, Xiaopeng Wei
2017 A* conf
Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction.
AAAI
Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang
2016 J jnl
A Convolutional Neural Network Model for Online Medical Guidance.
IEEE Access
Cuili Yao, Yue Qu, Bo Jin, Li Guo, Chao Li, Wenjuan Cui, Lin Feng
2016 A* conf
Minimizing Legal Exposure of High-Tech Companies through Collaborative Filtering Methods.
KDD
Bo Jin, Chao Che, Kuifei Yu, Yue Qu, Li Guo, Cuili Yao, Ruiyun Yu, Qiang Zhang
2016 J jnl
Multi-Label Classification Methods for Green Computing and Application for Mobile Medical Recommendations.
IEEE Access
Li Guo, Bo Jin, Ruiyun Yu, Cuili Yao, Chonglin Sun, Degen Huang
2015 — conf
Efficient Methods for Multi-label Classification.
PAKDD (1)
Chonglin Sun, Chunting Zhou, Bo Jin, Francis C. M. Lau
2014 J jnl
Sliding Window-based Frequent Itemsets Mining over Data Streams using Tail Pointer Table.
Int. J. Comput. Intell. Syst.
Le Wang, Lin Feng, Bo Jin
2014 A* conf
Technology Prospecting for High Tech Companies through Patent Mining.
ICDM
Bo Jin, Yong Ge, Hengshu Zhu, Li Guo, Hui Xiong, Chao Zhang
2013 J jnl
Maximal Similarity Embedding.
Neurocomputing
Lin Feng, Shenglan Liu, Zhen-Yu Wu, Bo Jin
2013 J jnl
UT-Tree: Efficient mining of high utility itemsets from data streams.
Intell. Data Anal.
Lin Feng, Le Wang, Bo Jin
2010 — conf
A similarity measure of Jumping Dynamic Time Warping.
FSKD
Lin Feng, Xiaoyan Zhao, Yiwei Liu, Yuan Yao, Bo Jin
2010 J jnl
Research on Maximal Frequent Pattern Outlier Factor for Online High-Dimensional Time-Series Outlier Detection.
J. Convergence Inf. Technol.
Lin Feng, Le Wang, Bo Jin
2007 C conf
Chinese Patent Mining Based on Sememe Statistics and Key-Phrase Extraction.
ADMA
Bo Jin, Hongfei Teng, Yanjun Shi, Fuzheng Qu