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Bo Jin 0001
Person information
- affiliation: Dalian University of Technology, Dalian, China
Other persons with the same name
- Bo Jin — disambiguation page
- Bo Jin 0002
— Southern University of Science and Technology, China (and 1 more)
- Bo Jin 0003
- Bo Jin 0004
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2020 – today
- 2024
- [j36]Lei Wang, Siming Wang, Bo Jin, Xiaopeng Wei:
GC-STCL: A Granger Causality-Based Spatial-Temporal Contrastive Learning Framework for EEG Emotion Recognition. Entropy 26(7): 540 (2024) - [j35]Peiliang Zhang
NCH-DDA: Neighborhood contrastive learning heterogeneous network for drug-disease association prediction. Expert Syst. Appl. 238(Part C): 121855 (2024) - [j34]Liang Zhang, Jianping Zhu
Multiview Spatial-Temporal Meta-Learning for Multivariate Time Series Forecasting. Sensors 24(14): 4473 (2024) - [c25]Qiang Zhou, Xinjiang Lu, Jingjing Gu, Zhe Zheng, Bo Jin, Jingbo Zhou:
Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder. AAAI 2024: 9422-9430 - [i6]Kazi Hasan Ibn Arif, JinYi Yoon, Dimitrios S. Nikolopoulos, Hans Vandierendonck, Deepu John, Bo Jin:
HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models in Resource-Constrained Environments. CoRR abs/2408.10945 (2024) - 2023
- [j33]Hao Jiang
CariesFG: A fine-grained RGB image classification framework with attention mechanism for dental caries. Eng. Appl. Artif. Intell. 123(Part B): 106306 (2023) - [j32]Xu Zhang, Yaming Wang, Liang Zhang
Exploring unsupervised multivariate time series representation learning for chronic disease diagnosis. Int. J. Data Sci. Anal. 15(2): 173-186 (2023) - [j31]Peiliang Zhang
IEA-GNN: Anchor-aware graph neural network fused with information entropy for node classification and link prediction. Inf. Sci. 634: 665-676 (2023) - [j30]Yang An, Haocheng Tang, Bo Jin, Yi Xu, Xiaopeng Wei:
KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning. BMC Medical Informatics Decis. Mak. 23(1): 243 (2023) - [j29]Jiatao Chen, Liang Zhang
Predicting Drug-Target Interaction Via Self-Supervised Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2781-2789 (2023) - [j28]Yue Qu, Chuanren Liu
Diagnostic Sparse Connectivity Networks With Regularization Template. IEEE Trans. Knowl. Data Eng. 35(1): 307-320 (2023) - [c24]Xin Guo, Jianping Zhu, Liang Zhang, Bo Jin, Xiaopeng Wei:
Adaptive Bayesian Meta-Learning for EEG Signal Classification. BIBM 2023: 1935-1940 - [c23]Yan Li, Xinjiang Lu, Haoyi Xiong
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution. ICDE 2023: 1611-1624 - [c22]Li Xiaolin, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Bo Jin, Barry Cardiff, Deepu John
Decentralised Biomedical Signal Classification using Early Exits. NEWCAS 2023: 1-2 - [c21]Jianping Zhu, Haocheng Tang, Liang Zhang, Bo Jin, Yi Xu, Xiaopeng Wei:
A Global View-Guided Autoregressive Residual Network for Irregular Time Series Classification. PAKDD (4) 2023: 289-300 - [i5]Yan Li, Xinjiang Lu, Haoyi Xiong
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution. CoRR abs/2301.02068 (2023) - 2022
- [j27]Peiliang Zhang
DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug-Target interaction prediction. Comput. Biol. Medicine 142: 105214 (2022) - [j26]Yongxue Shan, Chao Che
Bi-graph attention network for aspect category sentiment classification. Knowl. Based Syst. 258: 109972 (2022) - [j25]Kaiyu Huang
Domain-Aware Word Segmentation for Chinese Language: A Document-Level Context-Aware Model. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(2): 41:1-41:16 (2022) - [j24]Ruiyun Yu
CFFNN: Cross Feature Fusion Neural Network for Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 34(10): 4650-4662 (2022) - [j23]Yang An
Prediction of Treatment Medicines With Dual Adaptive Sequential Networks. IEEE Trans. Knowl. Data Eng. 34(11): 5496-5509 (2022) - [c20]Yang An, Yufeng Sun, Bo Jin, Xiaopeng Wei:
Medication Prediction Using Memory Augmented Heterogeneous Information Fusion Network. BigCom 2022: 233-242 - [i4]Yang An, Bo Jin, Xiaopeng Wei:
KnowAugNet: Multi-Source Medical Knowledge Augmented Medication Prediction Network with Multi-Level Graph Contrastive Learning. CoRR abs/2204.11736 (2022) - 2021
- [j22]Chaofeng Li, Tuxin Guan
Completely blind image quality assessment via contourlet energy statistics. IET Image Process. 15(2): 443-453 (2021) - [j21]Cuili Yao, Lin Feng, Yuqiu Kong, Bo Jin, Yiwei Liu, Leheng Li:
Bi-DAINet: Bi-Directional Discard-Accept-Integrate Network for salient object detection. Neurocomputing 428: 142-152 (2021) - [j20]Yang An
MeSIN: Multilevel selective and interactive network for medication recommendation. Knowl. Based Syst. 233: 107534 (2021) - [j19]Chao Che, Peiliang Zhang
Constrained transformer network for ECG signal processing and arrhythmia classification. BMC Medical Informatics Decis. Mak. 21(1): 184 (2021) - [j18]Hongkui Cao, Liang Zhang, Bo Jin, Shicheng Cheng, Xiaopeng Wei, Chao Che
Enriching limited information on rare diseases from heterogeneous networks for drug repositioning. BMC Medical Informatics Decis. Mak. 21-S(9): 304 (2021) - [c19]Yongxue Shan, Zhaoqian Zhong, Chao Che, Bo Jin, Xiaopeng Wei:
Aspect-Level Sentiment Classification of Chinese Patient Comments Based on Pre-trained Sentiment Embedding. BIBM 2021: 1503-1508 - [c18]Mingxuan Che, Lasheng Zhao, Bo Jin:
A Doctor Recommendation Framework for Online Medical Platforms Using Multi-Source Heterogeneous Data. ICCAI 2021: 326-331 - [c17]Xu Zhang, Liang Zhang, Bo Jin, Xinjiang Lu:
A Multi-view Confidence-calibrated Framework for Fair and Stable Graph Representation Learning. ICDM 2021: 1493-1498 - [c16]Lu Jiang, Pengyang Wang, Ke Cheng, Kunpeng Liu, Minghao Yin, Bo Jin, Yanjie Fu:
EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling. SDM 2021: 567-575 - [i3]Yang An, Liang Zhang, Mao You, Xueqing Tian, Bo Jin, Xiaopeng Wei:
MeSIN: Multilevel Selective and Interactive Network for Medication Recommendation. CoRR abs/2104.11026 (2021) - 2020
- [j17]Cuili Yao
Contour-Aware Recurrent Cross Constraint Network for Salient Object Detection. IEEE Access 8: 218739-218751 (2020) - [j16]Yongjun Zhu
Knowledge-driven drug repurposing using a comprehensive drug knowledge graph. Health Informatics J. 26(4): 2737-2750 (2020) - [j15]Yang An
RAHM: Relation augmented hierarchical multi-task learning framework for reasonable medication stocking. J. Biomed. Informatics 108: 103502 (2020) - [j14]Yang An
PASCAL: a pseudo cascade learning framework for breast cancer treatment entity normalization in Chinese clinical text. BMC Medical Informatics Decis. Mak. 20(1): 204 (2020) - [j13]Huibing Wang, Lin Feng, Adong Kong, Bo Jin:
Multi-view reconstructive preserving embedding for dimension reduction. Soft Comput. 24(10): 7769-7780 (2020) - [j12]Zhuang Liu
Unified Generative Adversarial Networks for Multiple-Choice Oriented Machine Comprehension. ACM Trans. Intell. Syst. Technol. 11(3): 25:1-25:20 (2020) - [c15]Jiatao Chen, Liang Zhang, Ke Cheng, Bo Jin, Xinjiang Lu
Exploring Multi-level Mutual Information for Drug-target Interaction Prediction. BIBM 2020: 251-256 - [c14]Bo Jin, Ke Cheng, Liang Zhang, Yanjie Fu, Minghao Yin
Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation. CIKM 2020: 585-594 - [c13]Bo Jin, Ke Cheng, Yue Qu, Liang Zhang, Keli Xiao, Xinjiang Lu
Fast Sparse Connectivity Network Adaption via Meta-Learning. ICDM 2020: 232-241
2010 – 2019
- 2019
- [j11]Leilei Sun
Unsupervised EEG feature extraction based on echo state network. Inf. Sci. 475: 1-17 (2019) - [j10]Lin Feng, Huibing Wang
Learning a Distance Metric by Balancing KL-Divergence for Imbalanced Datasets. IEEE Trans. Syst. Man Cybern. Syst. 49(12): 2384-2395 (2019) - [c12]Lihao Zhang, Zeyang Ye, Keli Xiao, Bo Jin:
A Parallel Simulated Annealing Enhancement of the Optimal-Matching Heuristic for Ridesharing. ICDM 2019: 906-915 - [i2]Luzhi Wang, Chu-Min Li, Junping Zhou, Bo Jin, Minghao Yin:
An Exact Algorithm for Minimum Weight Vertex Cover Problem in Large Graphs. CoRR abs/1903.05948 (2019) - 2018
- [j9]Bo Jin
Predicting the Risk of Heart Failure With EHR Sequential Data Modeling. IEEE Access 6: 9256-9261 (2018) - [j8]Ruiyun Yu, Xuanmiao An, Bo Jin, Jia Shi, Ann Move Oguti
Particle classification optimization-based BP network for telecommunication customer churn prediction. Neural Comput. Appl. 29(3): 707-720 (2018) - [c11]Xin Xu, Yanjie Fu, Haoyi Xiong
Dr. Right!: Embedding-Based Adaptively-Weighted Mixture Multi-classification Model for Finding Right Doctors with Healthcare Experience Data. ICDM 2018: 647-656 - [c10]Liang Zhang, Keli Xiao, Hengshu Zhu
CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining. ICDM 2018: 757-766 - [c9]Bo Jin, Haoyu Yang
A Treatment Engine by Predicting Next-Period Prescriptions. KDD 2018: 1608-1616 - [i1]Huibing Wang, Lin Feng, Adong Kong, Bo Jin:
Multi-view Reconstructive Preserving Embedding for Dimension Reduction. CoRR abs/1807.10614 (2018) - 2017
- [j7]Degen Huang, Li Guo, H. Y. Yang, X. P. Wei, Bo Jin
Chemical Medicine Classification Through Chemical Properties Analysis. IEEE Access 5: 1618-1623 (2017) - [c8]Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang:
Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction. AAAI 2017: 1367-1373 - [c7]Jianxin Zhang, Weifeng Xu, Qiang Zhang
Exploring risk factors and predicting UPDRS score based on Parkinson's speech signals. Healthcom 2017: 1-6 - [c6]Chao Che, Cao Xiao, Jian Liang, Bo Jin, Jiayu Zho, Fei Wang:
An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease. SDM 2017: 198-206 - 2016
- [j6]Li Guo, Bo Jin
Multi-Label Classification Methods for Green Computing and Application for Mobile Medical Recommendations. IEEE Access 4: 3201-3209 (2016) - [j5]Cuili Yao, Yue Qu, Bo Jin
A Convolutional Neural Network Model for Online Medical Guidance. IEEE Access 4: 4094-4103 (2016) - [c5]Bo Jin, Chao Che, Kuifei Yu, Yue Qu, Li Guo, Cuili Yao, Ruiyun Yu, Qiang Zhang:
Minimizing Legal Exposure of High-Tech Companies through Collaborative Filtering Methods. KDD 2016: 127-136 - 2015
- [c4]Chonglin Sun, Chunting Zhou, Bo Jin, Francis C. M. Lau:
Efficient Methods for Multi-label Classification. PAKDD (1) 2015: 164-175 - 2014
- [j4]Le Wang, Lin Feng, Bo Jin:
Sliding Window-based Frequent Itemsets Mining over Data Streams using Tail Pointer Table. Int. J. Comput. Intell. Syst. 7(1): 25-36 (2014) - [c3]Bo Jin, Yong Ge, Hengshu Zhu
Technology Prospecting for High Tech Companies through Patent Mining. ICDM 2014: 220-229 - 2013
- [j3]Lin Feng, Le Wang, Bo Jin:
UT-Tree: Efficient mining of high utility itemsets from data streams. Intell. Data Anal. 17(4): 585-602 (2013) - [j2]Lin Feng, Sheng-lan Liu, Zhen-Yu Wu, Bo Jin:
Maximal Similarity Embedding. Neurocomputing 99: 423-438 (2013) - 2010
- [j1]Lin Feng, Le Wang, Bo Jin:
Research on Maximal Frequent Pattern Outlier Factor for Online High-Dimensional Time-Series Outlier Detection. J. Convergence Inf. Technol. 5(10): 66-71 (2010) - [c2]Lin Feng, Xiaoyan Zhao, Yiwei Liu, Yuan Yao, Bo Jin:
A similarity measure of Jumping Dynamic Time Warping. FSKD 2010: 1677-1681
2000 – 2009
- 2007
- [c1]Bo Jin, Hongfei Teng, Yanjun Shi, Fuzheng Qu:
Chinese Patent Mining Based on Sememe Statistics and Key-Phrase Extraction. ADMA 2007: 516-523
Coauthor Index
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last updated on 2024-11-15 20:41 CET by the dblp team
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