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Jie Hu 0007
Person information
- affiliation: Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China
Other persons with the same name
- Jie Hu — disambiguation page
- Jie Hu 0001 — University of Electronic Science and Technology of China, Chengdu (and 1 more)
- Jie Hu 0002 — Shanghai Jiao Tong University, School of Mechanical Engineering, Shanghai, China (and 1 more)
- Jie Hu 0003 — Tsinghua University, Department of Automation, State Key Lab of Intelligent Technologies and Systems, Beijing
- Jie Hu 0004 — Shenzhen University, Shenzhen Key Laboratory of Spatial Information Smarting Sensing and Services, China
- Jie Hu 0005 — University of California, Irvine, CA, USA
- Jie Hu 0006 — Hubei University, Wuhan, China (and 2 more)
- Jie Hu 0008 — State University of New York at Buffalo, NY, USA
- Jie Hu 0009 — Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, Beijing, China (and 1 more)
- Jie Hu 0010 — Tohoku University, Sendai, Japan
- Jie Hu 0011 — The University of Texas at Dallas, Richardson, TX, USA
- Jie Hu 0012 — Sun Yat-Sen University, Guangzhou, China
- Jie Hu 0013 — China University of Geosciences, Wuhan, China (and 1 more)
- Jie Hu 0014 — Zheijiang University, College of Electrical Engineering, Hangzhou, China
- Jie Hu 0015 — Fudan University, ZhongShan Hospital, Shanghai, China
- Jie Hu 0016 — Guizhou University, Guiyang, China (and 2 more)
- Jie Hu 0017 — University of Southampton, UK
- Jie Hu 0018 — Xiamen University, School of Information Science and Engineering, China
- Jie Hu 0019 — Meituan Group, Beijing, China (and 2 more)
- Jie Hu 0020 — Zhejiang University, School of International Studies, Department of Linguistics, Hangzhou, China
- Jie Hu 0021 — Huawei Noah's Ark Lab
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2020 – today
- 2024
- [j40]Xiaofan Li, Bo Peng, Jie Hu, Changyou Ma, Daipeng Yang, Zhuyang Xie:
USL-Net: Uncertainty self-learning network for unsupervised skin lesion segmentation. Biomed. Signal Process. Control. 89: 105769 (2024) - [j39]Jia Zhang, Bo Peng, Xi Wu, Jie Hu:
Weakly supervised semantic segmentation by knowledge graph inference. Eng. Appl. Artif. Intell. 138: 109294 (2024) - [j38]Juan Chen, Jie Hu, Tianrui Li, Fei Teng, Shengdong Du:
An effective relation-first detection model for relational triple extraction. Expert Syst. Appl. 238(Part B): 122007 (2024) - [j37]Fei Teng, Quanmei Zhang, Xiaomin Zhou, Jie Hu, Tianrui Li:
Few-shot ICD coding with knowledge transfer and evidence representation. Expert Syst. Appl. 238(Part D): 121861 (2024) - [j36]Mingwei Tang, Wei Tang, Qingchi Gui, Jie Hu, Mingfeng Zhao:
A vulnerability detection algorithm based on residual graph attention networks for source code imbalance (RGAN). Expert Syst. Appl. 238(Part E): 122216 (2024) - [j35]Linxi Li, Mingwei Tang, Zhendong Yang, Jie Hu, Mingfeng Zhao:
Spatio-temporal adaptive convolution and bidirectional motion difference fusion for video action recognition. Expert Syst. Appl. 255: 124917 (2024) - [j34]Jianqiao Xiong, Mingwei Tang, Liansong Zong, Linxi Li, Jie Hu, Deng Bian, Shixuan Lv:
INA-Net: An integrated noise-adaptive attention neural network for enhanced medical image segmentation. Expert Syst. Appl. 258: 125078 (2024) - [j33]Yuyan Wang, Jie Hu, Fei Teng, Lilan Peng, Shengdong Du, Tianrui Li:
KaTaGCN: Knowledge-Augmented and Time-Aware Graph Convolutional Network for efficient traffic forecasting. Inf. Fusion 111: 102542 (2024) - [j32]Jie Hu, Chenghao Yang, Kai Huang, Hongjun Wang, Bo Peng, Tianrui Li:
Information bottleneck fusion for deep multi-view clustering. Knowl. Based Syst. 289: 111551 (2024) - [j31]Jie Hu, Yinglian Zhu, Fei Teng, Tianrui Li:
Temporal knowledge graph reasoning based on relation graphs and time-guided attention mechanism. Knowl. Based Syst. 301: 112280 (2024) - [j30]Jie Hu, Hongqun Yang, Fei Teng, Shengdong Du, Tianrui Li:
A knowledge graph completion model based on triple level interaction and contrastive learning. Pattern Recognit. 156: 110783 (2024) - [j29]Omar Al-maqtari, Bo Peng, Zaid Al-Huda, Jie Hu:
Transformer-based thin crack segmentation: an efficient multiscale approach for automatic visual inspection. Signal Image Video Process. 18(11): 8349-8359 (2024) - [j28]Zhenguang Zhang, Zaid Al-Huda, Bo Peng, Jie Hu:
A Bio-Inspired Network With Automatic Brightness Adaptation for Pavement Crack Detection in Different Environments. IEEE Trans. Instrum. Meas. 73: 1-15 (2024) - 2023
- [j27]Chenbing Li, Jie Hu, Tianrui Li, Shengdong Du, Fei Teng:
An effective multi-task learning model for end-to-end emotion-cause pair extraction. Appl. Intell. 53(3): 3519-3529 (2023) - [j26]Ghufran Ahmad Khan, Jie Hu, Tianrui Li, Bassoma Diallo, Shengdong Du:
Multi-view subspace clustering for learning joint representation via low-rank sparse representation. Appl. Intell. 53(19): 22511-22530 (2023) - [j25]Ghufran Ahmad Khan, Jie Hu, Tianrui Li, Bassoma Diallo, Hongjun Wang:
Multi-view clustering for multiple manifold learning via concept factorization. Digit. Signal Process. 140: 104118 (2023) - [j24]Ji Huang, Minbo Ma, Yongsheng Dai, Jie Hu, Shengdong Du:
DBAFormer: A Double-Branch Attention Transformer for Long-Term Time Series Forecasting. Hum. Centric Intell. Syst. 3(3): 263-274 (2023) - [j23]Jie Hu, Zhanao Hu, Tianrui Li, Shengdong Du:
A contrastive learning based universal representation for time series forecasting. Inf. Sci. 635: 86-98 (2023) - [j22]Lishan Wu, Jie Hu, Fei Teng, Tianrui Li, Shengdong Du:
Text semantic matching with an enhanced sample building method based on contrastive learning. Int. J. Mach. Learn. Cybern. 14(9): 3105-3112 (2023) - [j21]Wenwen Liu, Jie Hu, Shengdong Du, Hongmei Chen, Fei Teng:
A Method of Sharing Sentence Vectors for Opinion Triplet Extraction. Neural Process. Lett. 55(1): 751-772 (2023) - [j20]Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Ahmad Khan, Xinyan Liang, Hongjun Wang:
Auto-attention mechanism for multi-view deep embedding clustering. Pattern Recognit. 143: 109764 (2023) - [c16]Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang:
Spatio-Temporal Meta Contrastive Learning. CIKM 2023: 2412-2421 - [i7]Xinyao Liu, Shengdong Du, Fengmao Lv, Hongtao Xue, Jie Hu, Tianrui Li:
A Pre-trained Data Deduplication Model based on Active Learning. CoRR abs/2308.00721 (2023) - [i6]Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang:
Spatio-Temporal Meta Contrastive Learning. CoRR abs/2310.17678 (2023) - 2022
- [j19]Faisal Khurshid, Yan Zhu, Jie Hu, Muqeet Ahmad, Mushtaq Ahmad:
Battering Review Spam Through Ensemble Learning in Imbalanced Datasets. Comput. J. 65(7): 1666-1678 (2022) - [j18]Huifa Liao, Jie Hu, Tianrui Li, Shengdong Du, Bo Peng:
Deep linear graph attention model for attributed graph clustering. Knowl. Based Syst. 246: 108665 (2022) - [j17]Ghufran Ahmad Khan, Jie Hu, Tianrui Li, Bassoma Diallo, Yimiao Zhao:
Multi-view low rank sparse representation method for three-way clustering. Int. J. Mach. Learn. Cybern. 13(1): 233-253 (2022) - [j16]Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Ahmad Khan, Ahmed Saad Hussein:
Multi-view document clustering based on geometrical similarity measurement. Int. J. Mach. Learn. Cybern. 13(3): 663-675 (2022) - [j15]Ghufran Ahmad Khan, Jie Hu, Tianrui Li, Bassoma Diallo, Hongjun Wang:
Multi-view data clustering via non-negative matrix factorization with manifold regularization. Int. J. Mach. Learn. Cybern. 13(3): 677-689 (2022) - [j14]Dan Huang, Jie Hu, Tianrui Li, Shengdong Du, Hongmei Chen:
Consistency regularization for deep semi-supervised clustering with pairwise constraints. Int. J. Mach. Learn. Cybern. 13(11): 3359-3372 (2022) - [c15]Jiabin Tang, Tang Qian, Shijing Liu, Shengdong Du, Jie Hu, Tianrui Li:
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting. IJCNN 2022: 1-8 - [e2]Tianrui Li, Rui Mao, Guoyin Wang, Fei Teng, Lei Zhang, Li Wang, Laizhong Cui, Jie Hu:
Big Data - 10th CCF Conference, BigData 2022, Chengdu, China, November 18-20, 2022, Proceedings. Communications in Computer and Information Science 1709, Springer 2022, ISBN 978-981-19-8330-6 [contents] - [i5]Jiabin Tang, Tang Qian, Shijing Liu, Shengdong Du, Jie Hu, Tianrui Li:
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting. CoRR abs/2202.12586 (2022) - [i4]Benhan Li, Shengdong Du, Tianrui Li, Jie Hu, Zhen Jia:
DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting. CoRR abs/2206.05495 (2022) - [i3]Houchen Zuo, Yongquan Jiang, Yan Yang, Baoying Liu, Jie Hu:
Hardness prediction of age-hardening aluminum alloy based on ensemble learning. CoRR abs/2206.08011 (2022) - [i2]Jie Hu, Yongquan Jiang, Yan Yang, Houchen Zuo:
Prediction of superconducting properties of materials based on machine learning models. CoRR abs/2211.03075 (2022) - 2021
- [j13]Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Ahmad Khan, Xinyan Liang, Yimiao Zhao:
Deep embedding clustering based on contractive autoencoder. Neurocomputing 433: 96-107 (2021) - [j12]Shuai Chang, Jie Hu, Tianrui Li, Hao Wang, Bo Peng:
Multi-view clustering via deep concept factorization. Knowl. Based Syst. 217: 106807 (2021) - [c14]Weiting Xu, Jie Hu, Shengdong Du, Yan Yang:
K-Means Clustering with Fairness Constraints. ISKE 2021: 215-222 - [e1]Shuwei Chen, Jie Hu, Tianrui Li, Luis Martínez, Jun Liu:
16th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2021, Chengdu, China, November 26-28, 2021. IEEE 2021, ISBN 978-1-6654-0553-9 [contents] - [i1]Houchen Zuo, Yongquan Jiang, Yan Yang, Jie Hu:
Prediction of properties of metal alloy materials based on machine learning. CoRR abs/2109.09394 (2021) - 2020
- [j11]Shanwen Yang, Tianrui Li, Xun Gong, Bo Peng, Jie Hu:
A review on crowd simulation and modeling. Graph. Model. 111: 101081 (2020) - [j10]Shu Wang, Tianrui Li, Chuan Luo, Jie Hu, Hamido Fujita, Tianqiang Huang:
A novel approach for efficient updating approximations in dynamic ordered information systems. Inf. Sci. 507: 197-219 (2020)
2010 – 2019
- 2019
- [j9]Vinath Mekthanavanh, Tianrui Li, Jie Hu, Yan Yang:
Social web video clustering based on multi-modal and clustering ensemble. Neurocomputing 366: 234-247 (2019) - [j8]Vinath Mekthanavanh, Tianrui Li, Hua Meng, Yan Yang, Jie Hu:
Social web video clustering based on multi-view clustering via nonnegative matrix factorization. Int. J. Mach. Learn. Cybern. 10(10): 2779-2790 (2019) - [c13]Jie Hu, Yi Pan, Tianrui Li, Yan Yang:
TW-Co-MFC: Two-Level Weighted Collaborative Multi-view Fuzzy Clustering Based on Maximum Entropy. CBD 2019: 303-308 - [c12]Qianqian Huang, Tianrui Li, Xin Yang, Jie Hu:
Dynamical Information Fusion of Multisource Incomplete Hybrid Information Systems Based on Conditional Entropy. ISKE 2019: 1-8 - [c11]Jie Hu, Tianrui Li, Yan Yang, Peng Xie, Xueli Xiao:
RFMC: A Rough Fuzzy Multi-view Clustering Approach. ISKE 2019: 142-147 - [c10]Muqeet Ahmad, Jie Hu, Mushtaq Ahmad, Zaid Al-Huda, Faisal Khurshid:
Optimal Cluster Leader Selection Using MCDM Methods in MWSN: A Comparative Study. ISKE 2019: 240-247 - [c9]Jing Li, Yan Yang, Jie Hu:
Multi-Objective Particle Swarm optimization Algorithm Based on Angle Preference and Three-Archive Sets. ISKE 2019: 630-636 - [c8]Ghufran Ahmad Khan, Jie Hu, Tianrui Li, Bassoma Diallo, Qianqian Huang:
Weighted Multi-View Data Clustering via Joint Non-Negative Matrix Factorization. ISKE 2019: 1159-1165 - [c7]Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Ahmad Khan, Chunyan Ji:
Concept-Enhanced Multi-view Clustering of Document Data. ISKE 2019: 1258-1264 - [c6]Xueli Xiao, Thosini Bamunu Mudiyanselage, Chunyan Ji, Jie Hu, Yi Pan:
Fast Deep Learning Training through Intelligently Freezing Layers. iThings/GreenCom/CPSCom/SmartData 2019: 1225-1232 - 2018
- [c5]Vinath Mekthanavanh, Tianrui Li, Jie Hu, Yan Yang:
Web Video Clustering Based on Emotion Category. BDET 2018: 87-91 - 2017
- [j7]Jie Hu, Tianrui Li, Chuan Luo, Hamido Fujita, Shaoyong Li:
Incremental fuzzy probabilistic rough sets over two universes. Int. J. Approx. Reason. 81: 28-48 (2017) - [j6]Anping Zeng, Tianrui Li, Jie Hu, Hongmei Chen, Chuan Luo:
Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values. Inf. Sci. 378: 363-388 (2017) - [j5]Jie Hu, Tianrui Li, Chuan Luo, Hamido Fujita, Yan Yang:
Incremental fuzzy cluster ensemble learning based on rough set theory. Knowl. Based Syst. 132: 144-155 (2017) - [c4]Yingge Xu, Yan Yang, Hongjun Wang, Jie Hu:
An Overlapping Clustering Approach with Correlation Weight. IJCRS (1) 2017: 611-619 - 2016
- [j4]Jie Hu, Tianrui Li, Hongjun Wang, Hamido Fujita:
Hierarchical cluster ensemble model based on knowledge granulation. Knowl. Based Syst. 91: 179-188 (2016) - 2015
- [j3]Jie Hu, Tianrui Li:
Reversible steganography using extended image interpolation technique. Comput. Electr. Eng. 46: 447-455 (2015) - [j2]Jie Hu, Tianrui Li, Hongmei Chen, Anping Zeng:
An Incremental Learning Approach for Updating Approximations in Rough Set Model over Dual Universes. Int. J. Intell. Syst. 30(8): 923-947 (2015) - [j1]Shaoyong Li, Tianrui Li, Jie Hu:
Update of approximations in composite information systems. Knowl. Based Syst. 83: 138-148 (2015) - [c3]Jie Hu, Tianrui Li, Chuan Luo, Shaoyong Li:
Incremental fuzzy probabilistic rough sets over dual universes. FUZZ-IEEE 2015: 1-8 - [c2]Anping Zeng, Tianrui Li, Chuan Luo, Jie Hu:
Incremental updating fuzzy rough approximations for dynamic hybrid data under the variation of attribute values. ICMLC 2015: 157-162 - [c1]Hongmei Chen, Tianrui Li, Chuan Luo, Jie Hu:
Dominance-Based Neighborhood Rough Sets and Its Attribute Reduction. RSKT 2015: 89-99
Coauthor Index
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last updated on 2024-11-11 22:24 CET by the dblp team
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