Jun Feng

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 48

Top Topics

Heterogeneous Computing

Top Venues

Publications

Tingting Hang, Jun Feng, Yunfeng Wang, Le Yan
Graph neural networks with selective attention and path reasoning for document-level relation extraction. Appl. Intell. 54 (7) (2024)
Yang Liu, Jun Feng, Jiamin Lu, Siyuan Zhou
A review of digital twin capabilities, technologies, and applications based on the maturity model. Adv. Eng. Informatics 62 (2024)
Pingping Shao, Jun Feng, Pengcheng Zhang, Jiamin Lu
Interpretable spatial-temporal attention convolutional network for rainfall forecasting. Comput. Geosci. 185 (2024)
Pingping Shao, Jun Feng, Jiamin Lu, Pengcheng Zhang, Chenxin Zou
Data-driven and knowledge-guided denoising diffusion model for flood forecasting. Expert Syst. Appl. 244 (2024)
Yunfeng Wang, Yuelong Zhu, Tingting Hang, Jiamin Lu, Jun Feng
Incorporating Normalized L1 Penalty and Eigenvalue Constraint for Causal Structure Learning. Int. J. Artif. Intell. Tools 32 (5) (2023)
Hailin Tang, Jun Feng, Siyuan Zhou
Generic Ontologies for Digital Watersheds. BDEIM (2023)
Tingting Hang, Jun Feng, Le Yan, Yunfeng Wang, Jiamin Lu
Joint extraction of entities and relations using multi-label tagging and relational alignment. Neural Comput. Appl. 34 (8) (2022)
Yuelong Zhu, Zhixin Teng, Yirui Wu, Jun Feng
Hydrological Time Series Motif Association Rule Mining Based on Three-Step Pruning and Constraints. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
Jun Feng, Haichao Sha, Yukai Ding, Le Yan, Zhangheng Yu
Graph Convolution Based Spatial-Temporal Attention LSTM Model for Flood Forecasting. IJCNN (2022)
Yunfeng Wang, Yuelong Zhu, Tingting Hang, Jun Feng, Jiamin Lu
Incorporating Proportional Sparse Penalty for Causal Structure Learning. ICTAI (2021)
Le Yan, Jun Feng, Tingting Hang, Yuelong Zhu
Flow interval prediction based on deep residual network and lower and upper boundary estimation method. Appl. Soft Comput. 104 (2021)
Tingting Hang, Jun Feng, Yirui Wu, Le Yan, Yunfeng Wang
Joint extraction of entities and overlapping relations using source-target entity labeling. Expert Syst. Appl. 177 (2021)
Hamza Djigal, Jun Feng, Jiamin Lu, Jidong Ge
IPPTS: An Efficient Algorithm for Scientific Workflow Scheduling in Heterogeneous Computing Systems. IEEE Trans. Parallel Distributed Syst. 32 (5) (2021)
Jiamin Lu, Zixuan Zhang, Xiaoqing Yang, Jun Feng
Efficient Subgraph Pruning & Embedding for Multi-Relation QA over Knowledge Graph. IJCNN (2021)
Xiaoqing Yang, Yuelong Zhu, Jun Feng, Jiamin Lu
Cross-modal Retrieval of Archives based on Principal Affinity Representation. CCCI (2021)
Zulong Ma, Jiamin Lu, Wei Wu, Jun Feng
FEE: An Event Extraction Model for Flood and Drought Disaster Based on Sequence Labeling. CRC (2021)
Jun Feng, Zhongyi Wang, Yirui Wu, Yuqi Xi
Spatial and Temporal Aware Graph Convolutional Network for Flood Forecasting. IJCNN (2021)
Zulong Ma, Jiamin Lu, Jun Feng, Yunfei Zhang, Wei Wu
Semantic-based Bidirectional Adversarial Neural Topic Model. ICTAI (2021)
Youchuan Hu, Le Yan, Tingting Hang, Jun Feng
Stream-Flow Forecasting of Small Rivers Based on LSTM. CoRR (2020)
Yuelong Zhu, Jun Feng, Le Yan, Tao Guo, Xiaodong Li
Flood Prediction Using Rainfall-Flow Pattern in Data-Sparse Watersheds. IEEE Access 8 (2020)
Jiamin Lu, Cheng Yang, Bingfa Wang, Jun Feng
FP-ExtVP: Accelerating Distributed SPARQL queries by Exploiting Load-adaptive Partitioning. IEEE BigData (2020)
Hamza Djigal, Jun Feng, Jiamin Lu
Performance Evaluation of Security-Aware List Scheduling Algorithms in IaaS Cloud. CCGRID (2020)
Yukai Ding, Yuelong Zhu, Jun Feng, Pengcheng Zhang, Zirun Cheng
Interpretable spatio-temporal attention LSTM model for flood forecasting. Neurocomputing 403 (2020)
Yirui Wu, Yukai Ding, Jun Feng
SMOTE-Boost-based sparse Bayesian model for flood prediction. EURASIP J. Wirel. Commun. Netw. 2020 (1) (2020)
Yirui Wu, Yukai Ding, Yuelong Zhu, Jun Feng, Sifeng Wang
Complexity to Forecast Flood: Problem Definition and Spatiotemporal Attention LSTM Solution. Complex. 2020 (2020)
Yirui Wu, Dabao Wei, Jun Feng
Network Attacks Detection Methods Based on Deep Learning Techniques: A Survey. Secur. Commun. Networks 2020 (2020)
Jun Feng, Ju Chen, Jiamin Lu
Novel Approach for Multi-valued Truth Discovery. IMCOM (2019)
Yaqing Shi, Song Huang, Jun Feng, Jiamin Lu
A Probabilistic Range Query of Moving Objects in Road Network. IEEE Access 7 (2019)
Xi Zou, Yuelong Zhu, Jun Feng, Jiamin Lu, Xiaodong Li
A Novel Hierarchical Topic Model for Horizontal Topic Expansion With Observed Label Information. IEEE Access 7 (2019)
Yirui Wu, Weigang Xu, Qinghan Yu, Jun Feng, Tong Lu
Hierarchical Bayesian Network Based Incremental Model for Flood Prediction. MMM (1) (2019)
Yirui Wu, Yukai Ding, Jun Feng
Sparse Bayesian Flood Forecasting Model Based on SMOTEBoost. iThings/GreenCom/CPSCom/SmartData (2019)
Jun Feng, Le Yan, Tingting Hang
Stream-Flow Forecasting Based on Dynamic Spatio-Temporal Attention. IEEE Access 7 (2019)
Le Yan, Jun Feng, Tingting Hang
Small Watershed Stream-Flow Forecasting Based on LSTM. IMCOM (2019)
Hamza Djigal, Jun Feng, Jiamin Lu
Task Scheduling for Heterogeneous Computing using a Predict Cost Matrix. ICPP Workshops (2019)
Yirui Wu, Yao Xiao, Jun Feng
Hierarchically Channel-Wise Attention Model for Clean and Polluted Water Images Classification. SmartCom (2019)
Tingting Hang, Jun Feng, Xiaodong Li, Le Yan
Water Sound Recognition Based on Support Vector Machine. IMCOM (2019)
Bin Xu, Jun Feng, Jiamin Lu
Continuous Skyline Queries for Moving Objects in Road Network based on MSO. IMCOM (2018)
Jun Feng, Cheng Gong, Xiaodong Li, Raymond Y. K. Lau
Automatic Approach of Sentiment Lexicon Generation for Mobile Shopping Reviews. Wirel. Commun. Mob. Comput. 2018 (2018)
Zhaoyang Liu, Yirui Wu, Yukai Ding, Jun Feng, Tong Lu
Context and Temporal Aware Attention Model for Flood Prediction. PCM (1) (2018)
Yirui Wu, Weigang Xu, Jun Feng, Shivakumara Palaiahnakote, Tong Lu
Local and Global Bayesian Network based Model for Flood Prediction. ICPR (2018)
Yirui Wu, Zhaoyang Liu, Weigang Xu, Jun Feng, Shivakumara Palaiahnakote, Tong Lu
Context-Aware Attention LSTM Network for Flood Prediction. ICPR (2018)
Yi Liu, Jun Feng, Jiamin Lu
Collaborative filtering algorithm based on rating distance. IMCOM (2017)
Hamza Djigal, Jun Feng, Jiamin Lu
Secure Framework for Future Smart City. CSCloud (2017)
Jun Feng, Shengqiu Kong, Bingshuai Du, Jiamin Lu
Research on Faceted Search Method for Water Data Catalogue Service. CSCloud (2017)
Jun Feng, Lixia Zhang, Jiamin Lu, Bin Xu
CPE: a cloud server performance evaluation model. IMCOM (2017)
Pengcheng Zhang, Yan Xiao, Yuelong Zhu, Jun Feng, Dingsheng Wan, Wenrui Li, Hareton Leung
A New Symbolization and Distance Measure Based Anomaly Mining Approach for Hydrological Time Series. Int. J. Web Serv. Res. 13 (3) (2016)
Zhixian Tang, Jun Feng, Zhonghua Zhu, Yaqing Shi, Jiamin Lu
RH: An improved AMH aggregate query method. Intell. Autom. Soft Comput. 22 (4) (2016)
Jiamin Lu, Ralf Hartmut Güting, Jun Feng
Efficient Filter and Refinement for the Hadoop-Based Spatial Join. MSN (2016)
Jun Feng, Yaqing Shi, Zhixian Tang, Caihua Rui, Xurong Min
A Novel Method for Predictive Aggregate Queries over Data Streams in Road Networks Based on STES Methods. IEA/AIE (2) (2014)
Dingsheng Wan, Yan Xiao, Pengcheng Zhang, Jun Feng, Yuelong Zhu, Qian Liu
Hydrological Time Series Anomaly Mining Based on Symbolization and Distance Measure. BigData Congress (2014)
Jimin Wang, Yuelong Zhu, Dingsheng Wan, Pengcheng Zhang, Jun Feng
Multi-measure Similarity Searching for Time Series. J. Comput. 9 (10) (2014)
Shijin Li, Yuelong Zhu, Dingsheng Wan, Jun Feng
Hyperspectral band selection from the spectral similarity perspective. IGARSS (2013)
Jun Feng, Zhonghua Zhu, Yaqing Shi, Liming Xu
A new spatio-temporal prediction approach based on aggregate queries. Int. J. Knowl. Web Intell. 4 (1) (2013)
Jun Feng, Zhixian Tang, Ruchun Huang
DOSR: A Method of Domain-Oriented Semantic Retrieval in XML Data. IIMSS (2012)
Jun Feng, Zhonghua Zhu, Rongwei Xu
A Traffic Flow Prediction Approach Based on Aggregated Information of Spatio-temporal Data Streams. IIMSS (2012)
Jun Feng, Chunyan Lu, Shimin Xu, Toyohide Watanabe
DynSketch: a spatio-temporal aggregate index for moving objects in road networks. Int. J. Intell. Def. Support Syst. 2 (2) (2009)
Jun Feng, Jiamin Lu, Yuelong Zhu, Toyohide Watanabe
Index Method for Tracking Network-Constrained Moving Objects. KES (2) (2008)
Jun Feng, Ying Wang, Jiayu Yao, Toyohide Watanabe
Multi-Granularity Aggregation Index for Data Stream. CW (2008)
Naoto Mukai, Toyohide Watanabe, Jun Feng
Route Optimization Using Q-Learning for On-Demand Bus Systems. KES (2) (2008)
Jun Feng, Jiamin Lu, Yuelong Zhu, Toyohide Watanabe
Improved partition method for tracking moving objects in road networks. Int. J. Adv. Intell. Paradigms 1 (2) (2008)
Naoto Mukai, Toyohide Watanabe, Jun Feng
Avoidance of Traffic Delay for Panicking Crowds Subject to Information Propagation. KES (2) (2007)
Jun Feng, Linyan Wu, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe
Continuous k-Nearest Neighbor Search Under Mobile Environment. APWeb/WAIM (2007)
Jun Feng, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe
Search on transportation networks for location-based service. Appl. Intell. 26 (1) (2007)
Jun Feng, Jiamin Lu, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe
Indexing of Moving Objects on Road Network Using Composite Structure. KES (2) (2007)
Yuelong Zhu, Xiang Ren, Jun Feng
NCO-Tree: A Spatio-temporal Access Method for Segment-Based Tracking of Moving Objects. KES (2) (2006)
Naoto Mukai, Toyohide Watanabe, Jun Feng
R-Tree Based Optimization Algorithm for Dynamic Transport Problem. KES (2) (2006)
Naoto Mukai, Toyohide Watanabe, Jun Feng
Analysis of Selfish Behaviors on Door-to-Door Transport System. KES (1) (2006)
Jun Feng, Linyan Wu, Yuelong Zhu, Toyohide Watanabe
Forecasting Region Search of Moving Objects. KES (1) (2006)
Naoto Mukai, Jun Feng, Toyohide Watanabe
Simulation Analysis for On-Demand Transport Vehicles Based on Game Theory. IEA/AIE (2006)
Naoto Mukai, Toyohide Watanabe, Jun Feng
Proactive Route Planning Based on Expected Rewards for Transport Systems. ICTAI (2005)
Jun Feng, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe
Search on Transportation Network for Location-Based Service. IEA/AIE (2005)
Jun Feng, Naoto Mukai, Toyohide Watanabe
Stepwise Optimization Method for k-CNN Search for Location-Based Service. SOFSEM (2005)
Jun Feng, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe
Integrated Management of Multi-level Road Network and Transportation Networks. KES (3) (2005)
Jun Feng, Naoto Mukai, Toyohide Watanabe
Incremental Maintenance of All-Nearest Neighbors Based on Road Network. IEA/AIE (2004)
Naoto Mukai, Jun Feng, Toyohide Watanabe
Heuristic Approach Based on Lambda-Interchange for VRTPR-Tree on Specific Vehicle Routing Problem with Time Windows. IEA/AIE (2004)
Naoto Mukai, Jun Feng, Toyohide Watanabe
Indexing Approach for Delivery Demands with Time Constraints. PRICAI (2004)
Jun Feng, Toyohide Watanabe
Index Structure for Managing Multi-levels of Road Networks on Distributed Environment. ITCC (2003)