Shengdong Du - RankMe

59 papers B 4Misc 3Journal 50Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	JTFNet: A joint time-frequency domain network for multivariate time series forecasting. Inf. Fusion Jie Hu, Kai Huang, Yuyan Wang, Shengdong Du, Tianrui Li
2026	J	`jnl`	LCMF: A LLM-enhanced cross-modal fusion framework for universal temporal forecasting. Knowl. Based Syst. Shengdong Du, Junlong Jiang, Haochen Shi, Yan Yang, Junbo Zhang, Tianrui Li, Yu Zheng
2025	J	`jnl`	A Knowledge-Guided Pre-Training Temporal Data Analysis Foundation Model for Urban Computing. IEEE Trans. Knowl. Data Eng. Haochen Shi, Shengdong Du, Yan Yang, Junbo Zhang, Tianrui Li, Yu Zheng
2025	J	`jnl`	A pre-trained data deduplication model based on active learning. Expert Syst. Appl. Haochen Shi, Xinyao Liu, Fengmao Lv, Hongtao Xue, Jie Hu, Shengdong Du, Tianrui Li
2025	J	`jnl`	DCTFormer: A Dual-Branch Transformer With Cloze Tests for Video Anomaly Detection. IEEE Trans. Multim. Pengzhan Chen, Shengdong Du, Xiaole Zhao, Jie Hu, Jingjing Li, Tianrui Li
2025	J	`jnl`	LightST: A Simplifying Spatio-Temporal Graph Neural Network for Traffic Flow Forecasting. IEEE Trans. Big Data Jie Hu, Taichuan Zheng, Lilan Peng, Fei Teng, Shengdong Du, Tianrui Li
2025	J	`jnl`	Pre-training Enhanced Transformer for multivariate time series anomaly detection. Inf. Fusion Chao Wang, Haochen Shi, Jie Hu, Xin Yang, Junbo Zhang, Shengdong Du, Tianrui Li
2025	J	`jnl`	RP-KGC: A Knowledge Graph Completion Model Integrating Rule-Based Knowledge for Pretraining and Inference. Big Data Min. Anal. WenYing Guo, Shengdong Du, Jie Hu, Fei Teng, Yan Yang, Tianrui Li
2025	J	`jnl`	Traceable Drug Recommendation over Medical Knowledge Graphs. CoRR Yu Lin, Zhen Jia, Philipp Christmann, Xu Zhang, Shengdong Du, Tianrui Li
2024	J	`jnl`	A knowledge graph completion model based on triple level interaction and contrastive learning. Pattern Recognit. Jie Hu, Hongqun Yang, Fei Teng, Shengdong Du, Tianrui Li
2024	J	`jnl`	An effective relation-first detection model for relational triple extraction. Expert Syst. Appl. Juan Chen, Jie Hu, Tianrui Li, Fei Teng, Shengdong Du
2024	J	`jnl`	Graph Deep Active Learning Framework for Data Deduplication. Big Data Min. Anal. Huan Cao, Shengdong Du, Jie Hu, Yan Yang, Shi-Jinn Horng, Tianrui Li
2024	J	`jnl`	KaTaGCN: Knowledge-Augmented and Time-Aware Graph Convolutional Network for efficient traffic forecasting. Inf. Fusion Yuyan Wang, Jie Hu, Fei Teng, Lilan Peng, Shengdong Du, Tianrui Li
2024	J	`jnl`	Multi-scale feature enhanced spatio-temporal learning for traffic flow forecasting. Knowl. Based Syst. Shengdong Du, Tao Yang, Fei Teng, Junbo Zhang, Tianrui Li, Yu Zheng
2023	J	`jnl`	A Method of Sharing Sentence Vectors for Opinion Triplet Extraction. Neural Process. Lett. Wenwen Liu, Jie Hu, Shengdong Du, Hongmei Chen, Fei Teng
2023	Misc	`conf`	A Parted-based Method for Unsupervised Visible-Infrared Re-identification. ISKE Yunxiao Shi, Zeng Yu, Tianrui Li, Shengdong Du, Yeyiran Jing
2023	J	`jnl`	A Pre-trained Data Deduplication Model based on Active Learning. CoRR Xinyao Liu, Shengdong Du, Fengmao Lv, Hongtao Xue, Jie Hu, Tianrui Li
2023	J	`jnl`	A contrastive learning based universal representation for time series forecasting. Inf. Sci. Jie Hu, Zhanao Hu, Tianrui Li, Shengdong Du
2023	J	`jnl`	A missing value filling model based on feature fusion enhanced autoencoder. Appl. Intell. Xinyao Liu, Shengdong Du, Tianrui Li, Fei Teng, Yan Yang
2023	J	`jnl`	An effective multi-task learning model for end-to-end emotion-cause pair extraction. Appl. Intell. Chenbing Li, Jie Hu, Tianrui Li, Shengdong Du, Fei Teng
2023	J	`jnl`	Correction to: Deep learning on multi-view sequential data: a survey. Artif. Intell. Rev. Zhuyang Xie, Yan Yang, Yiling Zhang, Jie Wang, Shengdong Du
2023	J	`jnl`	DBAFormer: A Double-Branch Attention Transformer for Long-Term Time Series Forecasting. Hum. Centric Intell. Syst. Ji Huang, Minbo Ma, Yongsheng Dai, Jie Hu, Shengdong Du
2023	J	`jnl`	Deep learning on multi-view sequential data: a survey. Artif. Intell. Rev. Zhuyang Xie, Yan Yang, Yiling Zhang, Jie Wang, Shengdong Du
2023	J	`jnl`	Domain adversarial graph neural network with cross-city graph structure learning for traffic prediction. Knowl. Based Syst. Xiaocao Ouyang, Yan Yang, Yiling Zhang, Wei Zhou, Jihong Wan, Shengdong Du
2023	J	`jnl`	Multi-view subspace clustering for learning joint representation via low-rank sparse representation. Appl. Intell. Ghufran Ahmad Khan, Jie Hu, Tianrui Li, Bassoma Diallo, Shengdong Du
2023	J	`jnl`	Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction. IEEE Trans. Knowl. Data Eng. Peng Xie, Minbo Ma, Tianrui Li, Shenggong Ji, Shengdong Du, Zeng Yu, Junbo Zhang
2023	J	`jnl`	Text semantic matching with an enhanced sample building method based on contrastive learning. Int. J. Mach. Learn. Cybern. Lishan Wu, Jie Hu, Fei Teng, Tianrui Li, Shengdong Du
2023	J	`jnl`	Urban Flow Pattern Mining Based on Multi-Source Heterogeneous Data Fusion and Knowledge Graph Embedding. IEEE Trans. Knowl. Data Eng. Jia Liu, Tianrui Li, Shenggong Ji, Peng Xie, Shengdong Du, Fei Teng, Junbo Zhang
2022	J	`jnl`	A Differential Attention Fusion Model Based on Transformer for Time Series Forecasting. CoRR Benhan Li, Shengdong Du, Tianrui Li
2022	J	`jnl`	A Missing Value Filling Model Based on Feature Fusion Enhanced Autoencoder. CoRR Xinyao Liu, Shengdong Du, Tianrui Li, Fei Teng, Yan Yang
2022	J	`jnl`	A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data. Inf. Fusion Pengfei Zhang, Tianrui Li, Zhong Yuan, Chuan Luo, Guoqiang Wang, Jia Liu, Shengdong Du
2022	J	`jnl`	A multi-step forecasting model of online car-hailing demand. Inf. Sci. Fei Teng, Jian Teng, Lu Qiao, Shengdong Du, Tianrui Li
2022	J	`jnl`	Consistency regularization for deep semi-supervised clustering with pairwise constraints. Int. J. Mach. Learn. Cybern. Dan Huang, Jie Hu, Tianrui Li, Shengdong Du, Hongmei Chen
2022	J	`jnl`	DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting. CoRR Benhan Li, Shengdong Du, Tianrui Li, Jie Hu, Zhen Jia
2022	J	`jnl`	Deep linear graph attention model for attributed graph clustering. Knowl. Based Syst. Huifa Liao, Jie Hu, Tianrui Li, Shengdong Du, Bo Peng
2022	J	`jnl`	Fairness and accuracy in horizontal federated learning. Inf. Sci. Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang, Tianqiang Huang
2022	J	`jnl`	Medical Knowledge Graph to Promote Rational Drug Use: Model Development and Performance Evaluation. Hum. Centric Intell. Syst. Xiong Liao, Meng Liao, Andi Guo, Xinran Luo, Ziwei Li, Weiyuan Chen, Tianrui Li, Shengdong Du, Zhen Jia
2022	J	`jnl`	Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction. CoRR Peng Xie, Minbo Ma, Tianrui Li, Shenggong Ji, Shengdong Du, Zeng Yu, Junbo Zhang
2022	B	`conf`	Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting. IJCNN Jiabin Tang, Tang Qian, Shijing Liu, Shengdong Du, Jie Hu, Tianrui Li
2022	J	`jnl`	Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting. CoRR Jiabin Tang, Tang Qian, Shijing Liu, Shengdong Du, Jie Hu, Tianrui Li
2021	J	`jnl`	An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability. Inf. Fusion Wei Huang, Tianrui Li, Jia Liu, Peng Xie, Shengdong Du, Fei Teng
2021	J	`jnl`	Deep Air Quality Forecasting Using Hybrid Deep Learning Framework. IEEE Trans. Knowl. Data Eng. Shengdong Du, Tianrui Li, Yan Yang, Shi-Jinn Horng
2021	Misc	`conf`	K-Means Clustering with Fairness Constraints. ISKE Weiting Xu, Jie Hu, Shengdong Du, Yan Yang
2020	J	`jnl`	A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning. Int. J. Comput. Intell. Syst. Shengdong Du, Tianrui Li, Xun Gong, Shi-Jinn Horng
2020	J	`jnl`	A two steps method of resources utilization predication for large Hadoop data center. Concurr. Comput. Pract. Exp. Lei Yu, Fei Teng, Shangming Ning, Yunshu Li, Zhe Cui, Shengdong Du
2020	J	`jnl`	Fairness and Accuracy in Federated Learning. CoRR Wei Huang, Tianrui Li, Dexian Wang, Shengdong Du, Junbo Zhang
2020	J	`jnl`	Multi-attention fusion modeling for sentiment analysis of educational big data. Big Data Min. Anal. Guanlin Zhai, Yan Yang, Heng Wang, Shengdong Du
2020	J	`jnl`	Multivariate time series forecasting via attention-based encoder-decoder framework. Neurocomputing Shengdong Du, Tianrui Li, Yan Yang, Shi-Jinn Horng
2020	J	`jnl`	Urban big data fusion based on deep learning: An overview. Inf. Fusion Jia Liu, Tianrui Li, Peng Xie, Shengdong Du, Fei Teng, Xin Yang
2020	J	`jnl`	Urban flow prediction from spatiotemporal data using machine learning: A survey. Inf. Fusion Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang
2019	B	`conf`	An LSTM based Encoder-Decoder Model for MultiStep Traffic Flow Prediction. IJCNN Shengdong Du, Tianrui Li, Yan Yang, Xun Gong, Shi-Jinn Horng
2019	B	`conf`	TA-STAN: A Deep Spatial-Temporal Attention Learning Framework for Regional Traffic Accident Risk Prediction. IJCNN Lei Zhu, Tianrui Li, Shengdong Du
2019	J	`jnl`	Urban flows prediction from spatial-temporal data using machine learning: A survey. CoRR Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang
2018	J	`jnl`	A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning. CoRR Shengdong Du, Tianrui Li, Xun Gong, Zeng Yu, Shi-Jinn Horng
2018	J	`jnl`	Deep Air Quality Forecasting Using Hybrid Deep Learning Framework. CoRR Shengdong Du, Tianrui Li, Yan Yang, Shi-Jinn Horng
2018	B	`conf`	RUPredHadoop: Resources Utilization Predictor for Hadoop with Large-Scale Clusters. Big Data (CCF) Shangming Ning, Fei Teng, Yunshu Li, Zhe Cui, Lei Yu, Shengdong Du
2018	—	`conf`	Time Series Forecasting Using Sequence-to-Sequence Deep Learning Framework. PAAP Shengdong Du, Tianrui Li, Shi-Jinn Horng
2017	Misc	`conf`	Traffic flow forecasting based on hybrid deep learning framework. ISKE Shengdong Du, Tianrui Li, Xun Gong, Yan Yang, Shi-Jinn Horng
2017	—	`conf`	iPDO: An Effective Feature Depth Estimation Method for 3D Face Reconstruction. IJCRS (1) Xun Gong, Xinxin Li, Shengdong Du, Yang Zhao