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Shengdong Du
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2020 – today
- 2024
- [j30]Juan Chen
, Jie Hu
An effective relation-first detection model for relational triple extraction. Expert Syst. Appl. 238(Part B): 122007 (2024) - [j29]Yuyan Wang, Jie Hu
KaTaGCN: Knowledge-Augmented and Time-Aware Graph Convolutional Network for efficient traffic forecasting. Inf. Fusion 111: 102542 (2024) - [j28]Shengdong Du, Tao Yang, Fei Teng, Junbo Zhang, Tianrui Li
Multi-scale feature enhanced spatio-temporal learning for traffic flow forecasting. Knowl. Based Syst. 294: 111787 (2024) - [j27]Jie Hu
A knowledge graph completion model based on triple level interaction and contrastive learning. Pattern Recognit. 156: 110783 (2024) - 2023
- [j26]Zhuyang Xie, Yan Yang, Yiling Zhang, Jie Wang, Shengdong Du:
Deep learning on multi-view sequential data: a survey. Artif. Intell. Rev. 56(7): 6661-6704 (2023) - [j25]Zhuyang Xie, Yan Yang, Yiling Zhang, Jie Wang, Shengdong Du:
Correction to: Deep learning on multi-view sequential data: a survey. Artif. Intell. Rev. 56(8): 9009 (2023) - [j24]Chenbing Li, Jie Hu
An effective multi-task learning model for end-to-end emotion-cause pair extraction. Appl. Intell. 53(3): 3519-3529 (2023) - [j23]Ghufran Ahmad Khan, Jie Hu
Multi-view subspace clustering for learning joint representation via low-rank sparse representation. Appl. Intell. 53(19): 22511-22530 (2023) - [j22]Xinyao Liu, Shengdong Du, Tianrui Li
A missing value filling model based on feature fusion enhanced autoencoder. Appl. Intell. 53(21): 24931-24946 (2023) - [j21]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) - [j20]Jie Hu
A contrastive learning based universal representation for time series forecasting. Inf. Sci. 635: 86-98 (2023) - [j19]Xiaocao Ouyang
Domain adversarial graph neural network with cross-city graph structure learning for traffic prediction. Knowl. Based Syst. 278: 110885 (2023) - [j18]Lishan Wu, Jie Hu
Text semantic matching with an enhanced sample building method based on contrastive learning. Int. J. Mach. Learn. Cybern. 14(9): 3105-3112 (2023) - [j17]Wenwen Liu, Jie Hu
A Method of Sharing Sentence Vectors for Opinion Triplet Extraction. Neural Process. Lett. 55(1): 751-772 (2023) - [j16]Jia Liu
Urban Flow Pattern Mining Based on Multi-Source Heterogeneous Data Fusion and Knowledge Graph Embedding. IEEE Trans. Knowl. Data Eng. 35(2): 2133-2146 (2023) - [j15]Peng Xie
Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction. IEEE Trans. Knowl. Data Eng. 35(10): 9973-9984 (2023) - [c9]Yunxiao Shi, Zeng Yu, Tianrui Li, Shengdong Du, Yeyiran Jing:
A Parted-based Method for Unsupervised Visible-Infrared Re-identification. ISKE 2023: 135-142 - [i10]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) - 2022
- [j14]Xiong Liao
Medical Knowledge Graph to Promote Rational Drug Use: Model Development and Performance Evaluation. Hum. Centric Intell. Syst. 2(1-2): 1-13 (2022) - [j13]Pengfei Zhang
A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data. Inf. Fusion 80: 87-103 (2022) - [j12]Fei Teng, Jian Teng, Lu Qiao, Shengdong Du, Tianrui Li
A multi-step forecasting model of online car-hailing demand. Inf. Sci. 587: 572-586 (2022) - [j11]Wei Huang, Tianrui Li
Fairness and accuracy in horizontal federated learning. Inf. Sci. 589: 170-185 (2022) - [j10]Huifa Liao, Jie Hu, Tianrui Li
Deep linear graph attention model for attributed graph clustering. Knowl. Based Syst. 246: 108665 (2022) - [j9]Dan Huang, Jie Hu
Consistency regularization for deep semi-supervised clustering with pairwise constraints. Int. J. Mach. Learn. Cybern. 13(11): 3359-3372 (2022) - [c8]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 - [i9]Benhan Li, Shengdong Du, Tianrui Li:
A Differential Attention Fusion Model Based on Transformer for Time Series Forecasting. CoRR abs/2202.11402 (2022) - [i8]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) - [i7]Peng Xie, Minbo Ma, Tianrui Li, Shenggong Ji, Shengdong Du, Zeng Yu, Junbo Zhang:
Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction. CoRR abs/2204.02650 (2022) - [i6]Benhan Li, Shengdong Du, Tianrui Li
DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting. CoRR abs/2206.05495 (2022) - [i5]Xinyao Liu, Shengdong Du, Tianrui Li
A Missing Value Filling Model Based on Feature Fusion Enhanced Autoencoder. CoRR abs/2208.13495 (2022) - 2021
- [j8]Wei Huang, Tianrui Li
An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability. Inf. Fusion 75: 28-40 (2021) - [j7]Shengdong Du
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework. IEEE Trans. Knowl. Data Eng. 33(6): 2412-2424 (2021) - [c7]Weiting Xu, Jie Hu, Shengdong Du, Yan Yang:
K-Means Clustering with Fairness Constraints. ISKE 2021: 215-222 - 2020
- [j6]Guanlin Zhai, Yan Yang, Heng Wang, Shengdong Du:
Multi-attention fusion modeling for sentiment analysis of educational big data. Big Data Min. Anal. 3(4): 311-319 (2020) - [j5]Lei Yu
A two steps method of resources utilization predication for large Hadoop data center. Concurr. Comput. Pract. Exp. 32(15) (2020) - [j4]Shengdong Du, Tianrui Li
A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning. Int. J. Comput. Intell. Syst. 13(1): 85-97 (2020) - [j3]Shengdong Du
Multivariate time series forecasting via attention-based encoder-decoder framework. Neurocomputing 388: 269-279 (2020) - [j2]Jia Liu, Tianrui Li
Urban big data fusion based on deep learning: An overview. Inf. Fusion 53: 123-133 (2020) - [j1]Peng Xie
Urban flow prediction from spatiotemporal data using machine learning: A survey. Inf. Fusion 59: 1-12 (2020) - [i4]Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang:
Fairness and Accuracy in Federated Learning. CoRR abs/2012.10069 (2020)
2010 – 2019
- 2019
- [c6]Shengdong Du, Tianrui Li
An LSTM based Encoder-Decoder Model for MultiStep Traffic Flow Prediction. IJCNN 2019: 1-8 - [c5]Lei Zhu, Tianrui Li
TA-STAN: A Deep Spatial-Temporal Attention Learning Framework for Regional Traffic Accident Risk Prediction. IJCNN 2019: 1-8 - [i3]Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang:
Urban flows prediction from spatial-temporal data using machine learning: A survey. CoRR abs/1908.10218 (2019) - 2018
- [c4]Shangming Ning, Fei Teng, Yunshu Li, Zhe Cui, Lei Yu, Shengdong Du:
RUPredHadoop: Resources Utilization Predictor for Hadoop with Large-Scale Clusters. Big Data (CCF) 2018: 477-493 - [c3]Shengdong Du, Tianrui Li
Time Series Forecasting Using Sequence-to-Sequence Deep Learning Framework. PAAP 2018: 171-176 - [i2]Shengdong Du, Tianrui Li, Xun Gong, Zeng Yu, Shi-Jinn Horng:
A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning. CoRR abs/1803.02099 (2018) - [i1]Shengdong Du, Tianrui Li, Yan Yang, Shi-Jinn Horng:
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework. CoRR abs/1812.04783 (2018) - 2017
- [c2]Shengdong Du, Tianrui Li
Traffic flow forecasting based on hybrid deep learning framework. ISKE 2017: 1-6 - [c1]Xun Gong, Xinxin Li, Shengdong Du, Yang Zhao:
iPDO: An Effective Feature Depth Estimation Method for 3D Face Reconstruction. IJCRS (1) 2017: 407-417
Coauthor Index
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last updated on 2024-08-23 18:29 CEST by the dblp team
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