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ORCIDJingbin Wang
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2020 – today
- 2024
[j22]Jingbin Wang, Renfei Wu, Yuwei Wu, Fuyuan Zhang, Sirui Zhang, Kun Guo
:
MPNet: temporal knowledge graph completion based on a multi-policy network. Appl. Intell. 54(3): 2491-2507 (2024)- [j21]Jingbin Wang, Hao Huang, Yuwei Wu, Fuyuan Zhang, Sirui Zhang, Kun Guo:
Open Knowledge Graph Link Prediction with Semantic-Aware Embedding. Expert Syst. Appl. 249: 123542 (2024) - [j20]Jingbin Wang, Weijie Zhang, Zhiyong Yu, Fangwan Huang, Weiping Zhu, Longbiao Chen:
Route selection for opportunity-sensing and prediction of waterlogging. Frontiers Comput. Sci. 18(4) (2024) - 2023
- [j19]Jingbin Wang, Jing Lei, Shounan Sun, Kun Guo:
Embeddings based on relation-specific constraints for open world knowledge graph completion. Appl. Intell. 53(12): 16192-16204 (2023) - [j18]Jingbin Wang, Xinyu Lin, Hao Huang, Xifan Ke, Renfei Wu, Changkai You, Kun Guo:
GLANet: temporal knowledge graph completion based on global and local information-aware network. Appl. Intell. 53(16): 19285-19301 (2023) - [j17]Kun Guo, Jiaqi Lin, Qifeng Zhuang, Ruolan Zeng, Jingbin Wang:
Adaptive graph contrastive learning for community detection. Appl. Intell. 53(23): 28768-28786 (2023) - [c22]Changkai You, Xinyu Lin, Yuwei Wu, Sirui Zhang, Fuyuan Zhang, Jingbin Wang:
Time Split Network for Temporal Knowledge Graph Completion. ChineseCSCW (1) 2023: 333-347 - 2022
- [c21]Jingbin Wang, Xinyi Yang, Xifan Ke, Renfei Wu, Kun Guo:
Context-Aware Quaternion Embedding for Knowledge Graph Completion. ChineseCSCW (2) 2022: 33-47 - 2021
- [j16]Jingbin Wang, Kuan Nie, Xinyuan Chen, Jing Lei:
SUKE: Embedding Model for Prediction in Uncertain Knowledge Graph. IEEE Access 9: 3871-3879 (2021) - 2020
- [j15]Jingbin Wang, Wang Zhang, Xinyuan Chen, Jing Lei, Xiaolian Lai:
3DRTE: 3D Rotation Embedding in Temporal Knowledge Graph. IEEE Access 8: 207515-207523 (2020) - [j14]Jialin Song, Wenxue Hong, Cunguo Yu, Xiaoyun Wu, Jingbin Wang, Cunfang Zheng:
State Chinese medicine theory based on the mathematical description TCM principles and modelling of complex human system. Int. J. Comput. Appl. Technol. 64(1): 3-17 (2020) - [j13]Wenxue Hong, Cunfang Zheng, Baohong Mi, Cunguo Yu, Wenzheng Zhang, Jingbin Wang:
The physical pattern evaluation and identification method of infrared thermal image of human health state in Traditional Chinese Medicine. Int. J. Comput. Appl. Technol. 64(1): 18-32 (2020) - [j12]Xiangdong Zhou, Keith C. C. Chan, Zhihua Huang, Jingbin Wang:
Determining dependency and redundancy for identifying gene-gene interaction associated with complex disease. J. Bioinform. Comput. Biol. 18(5): 2050035:1-2050035:26 (2020) - [c20]Zhongguo Yang, Han Li, Mingzhu Zhang, Jingbin Wang, Chen Liu:
A Method for Resisting Adversarial Attack on Time Series Classification Model in IoT System. WISA 2020: 559-566
2010 – 2019
- 2019
- [j11]Jian Guan, Jingbin Wang, Qianhong Bian:
基于城市安全知识图谱的多关键词流式并行检索算法 (Multi-keyword Streaming Parallel Retrieval Algorithm Based on Urban Security Knowledge Graph). 计算机科学 46(2): 35-41 (2019) - [c19]Jingbin Wang, Jing Lin:
Graph Data Retrieval Algorithm for Knowledge Fragmentation. WISA 2019: 443-448 - 2018
- [j10]Xiaohong Wang, Hongzhou Guo, Jingbin Wang, Lizhi Wang:
Predicting the Health Status of an Unmanned Aerial Vehicles Data-Link System Based on a Bayesian Network. Sensors 18(11): 3916 (2018) - [c18]Jian Guan, Jingbin Wang, Long Yu:
Multi-keyword Parallel Search Algorithm for Streaming RDF Data. Big Data (CCF) 2018: 494-511 - 2017
- [j9]Xuejie Liu, Jingbin Wang, Ming Yin, Benjamin Edwards, Peijuan Xu:
Supervised learning of sparse context reconstruction coefficients for data representation and classification. Neural Comput. Appl. 28(1): 135-143 (2017) - [j8]Fan Lin, Jingbin Wang, Nian Zhang, Jianbing Xiahou, Nancy McDonald:
Multi-kernel learning for multivariate performance measures optimization. Neural Comput. Appl. 28(8): 2075-2087 (2017) - [j7]Jingbin Wang, Xiaohong Wang, Lizhi Wang:
Modeling of BN Lifetime Prediction of a System Based on Integrated Multi-Level Information. Sensors 17(9): 2123 (2017) - [c17]Yanyan Geng, Ru-Ze Liang, Weizhi Li, Jingbin Wang, Gaoyuan Liang, Chenhao Xu, Jingyan Wang:
Learning convolutional neural network to maximize Pos@Top performance measure. ESANN 2017 - [c16]Yanyan Geng, Guohui Zhang, Weizhi Li, Yi Gu, Ru-Ze Liang, Gaoyuan Liang, Jingbin Wang, Yanbin Wu, Nitin Patil, Jingyan Wang:
A Novel Image Tag Completion Method Based on Convolutional Neural Transformation. ICANN (2) 2017: 539-546 - [c15]Guohui Zhang, Gaoyuan Liang, Weizhi Li, Jian Fang, Jingbin Wang, Yanyan Geng, Jingyan Wang:
Learning Convolutional Ranking-Score Function by Query Preference Regularization. IDEAL 2017: 1-8 - [c14]Peng Zhong, Jingbin Wang:
LDCCNLP at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases Using Machine Learning. IJCNLP (Shared Tasks) 2017: 84-88 - [i8]Yanyan Geng, Weizhi Li, Gaoyuan Liang, Jingbin Wang, Yanbin Wu, Nitin Patil, Jim Jing-Yan Wang:
A novel image tag completion method based on convolutional neural network. CoRR abs/1703.00586 (2017) - 2016
- [j6]Jingbin Wang, Zhaoli Yan, Bin Chen, Xiaobin Cheng:
An on-line calibration hydrophone with electrostatic actuator. Sci. China Inf. Sci. 59(6): 062311:1-062311:8 (2016) - [j5]Shujian Dong, Jingbin Wang, Yuan Chen:
HMSST+: 基于分布式内存数据库的HMSST算法优化 (HMSST+: HMSST Algorithm Optimization Based on Distributed Memory Database). 计算机科学 43(3): 220-224 (2016) - [j4]Cuichun Zheng, Jingbin Wang:
RDF数据分布式并行语义编码算法 (Distributed Parallel Semantic Coding Algorithm for RDF Data). 计算机科学 43(9): 197-202 (2016) - [i7]Jingbin Wang, Lihui Shi, Haoxiang Wang, Jiandong Meng, Jim Jing-Yan Wang, Qingquan Sun, Yi Gu:
Optimizing top precision performance measure of content-based image retrieval by learning similarity function. CoRR abs/1604.06620 (2016) - [i6]Ru-Ze Liang, Wei Xie, Weizhi Li, Xin Du, Jim Jing-Yan Wang, Jingbin Wang:
Semi-supervised structured output prediction by local linear regression and sub-gradient descent. CoRR abs/1606.02279 (2016) - 2015
- [c13]Lan Yang, Jingbin Wang, Lorenzo Azevedo, Jim Jing-Yan Wang:
An Efficient Topology-Based Algorithm for Transient Analysis of Power Grid. ICIC (1) 2015: 649-660 - [c12]Jingbin Wang, Haoxiang Wang, Yihua Zhou, Nancy McDonald:
Multiple Kernel Multivariate Performance Learning Using Cutting Plane Algorithm. SMC 2015: 1870-1875 - [c11]Jingbin Wang, Yihua Zhou, Kanghong Duan, Jim Jing-Yan Wang, Halima Bensmail:
Supervised Cross-Modal Factor Analysis for Multiple Modal Data Classification. SMC 2015: 1882-1888 - [i5]Lan Yang, Jingbin Wang, Yujin Tu, Prarthana Mahapatra, Nelson Cardoso:
Vector Quantization by Minimizing Kullback-Leibler Divergence. CoRR abs/1501.07681 (2015) - [i4]Jingbin Wang, Haoxiang Wang, Yujin Tu, Kanghong Duan, Zhenxin Zhan, Srikanth Chekuri:
Supervised cross-modal factor analysis. CoRR abs/1502.05134 (2015) - [i3]Xuejie Liu, Jingbin Wang, Ming Yin, Benjamin Edwards, Peijuan Xu:
Supervised learning of sparse context reconstruction coefficients for data representation and classification. CoRR abs/1508.04221 (2015) - [i2]Jingbin Wang, Haoxiang Wang, Yihua Zhou, Nancy McDonald:
Multiple kernel multivariate performance learning using cutting plane algorithm. CoRR abs/1508.06264 (2015) - 2014
- [c10]Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, Jingbin Wang, James Philbin, Bo Chen, Ying Wu:
Learning Fine-Grained Image Similarity with Deep Ranking. CVPR 2014: 1386-1393 - [c9]Haoxiang Wang, Jingbin Wang:
An Effective Image Representation Method Using Kernel Classification. ICTAI 2014: 853-858 - [i1]Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, Jingbin Wang, James Philbin, Bo Chen, Ying Wu:
Learning Fine-grained Image Similarity with Deep Ranking. CoRR abs/1404.4661 (2014) - 2012
- [c8]Yushi Jing, Henry A. Rowley, Jingbin Wang, David Tsai, Chuck Rosenberg, Michele Covell:
Google image swirl: a large-scale content-based image visualization system. WWW (Companion Volume) 2012: 539-540 - 2010
- [c7]Yushi Jing, Henry A. Rowley, Charles R. Rosenberg, Jingbin Wang, Ming Zhao, Michele Covell:
Google image swirl, a large-scale content-based image browsing system. ICME 2010: 267
2000 – 2009
- 2008
- [j3]Jingbin Wang, Vassilis Athitsos, Stan Sclaroff, Margrit Betke:
Detecting Objects of Variable Shape Structure With Hidden State Shape Models. IEEE Trans. Pattern Anal. Mach. Intell. 30(3): 477-492 (2008) - [c6]Zheng Wu, Margrit Betke, Jingbin Wang, Vassilis Athitsos, Stan Sclaroff:
Tracking with Dynamic Hidden-State Shape Models. ECCV (1) 2008: 643-656 - 2007
- [c5]Erdan Gu, Jingbin Wang, Norman I. Badler:
Generating Sequence of Eye Fixations Using Decision-Theoretic Attention Model. WAPCV 2007: 277-292 - 2006
- [j2]Jingbin Wang, Margrit Betke, Jane P. Ko:
Pulmonary fissure segmentation on CT. Medical Image Anal. 10(4): 530-547 (2006) - [c4]Vassilis Athitsos, Jingbin Wang, Stan Sclaroff, Margrit Betke:
Detecting Instances of Shape Classes That Exhibit Variable Structure. ECCV (1) 2006: 121-134 - 2005
- [c3]Erdan Gu, Jingbin Wang, Norman I. Badler:
Generating Sequence of Eye Fixations Using Decision-theoretic Attention Model. CVPR Workshops 2005: 92 - [c2]Jingbin Wang, Erdan Gu, Margrit Betke:
MosaicShape: Stochastic Region Grouping with Shape Prior. CVPR (1) 2005: 902-908 - 2004
- [c1]Jingbin Wang, Margrit Betke, Jane P. Ko:
Shape-Based Curve Growing Model and Adaptive Regularization for Pulmonary Fissure Segmentation in CT. MICCAI (1) 2004: 541-548 - 2002
- [j1]Weidong Geng, Jingbin Wang, Yiyang Zhang:
Embedding visual cognition in 3D reconstruction from multi-view engineering drawings. Comput. Aided Des. 34(4): 321-336 (2002)
Coauthor Index
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