Jun Feng

According to our database, Jun Feng authored at least 98 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Robust annotation aggregation in crowdsourcing via enhanced worker ability modeling.

Ju Chen, Jun Feng, Shenyu Zhang, Xiaodong Li, Hamza Djigal

Inf. Process. Manag., 2025

2024

Improving flood forecasting using time-distributed CNN-LSTM model: a time-distributed spatiotemporal method.

Haider Malik, Jun Feng, Pingping Shao, Zaid Ameen Abduljabbar

Earth Sci. Informatics, August, 2024

Graph neural networks with selective attention and path reasoning for document-level relation extraction.

Tingting Hang, Jun Feng, Yunfeng Wang, Le Yan

Appl. Intell., April, 2024

Interpretable spatial-temporal attention convolutional network for rainfall forecasting.

Pingping Shao, Jun Feng, Pengcheng Zhang, Jiamin Lu

Comput. Geosci., 2024

Data-driven and knowledge-guided denoising diffusion model for flood forecasting.

Pingping Shao, Jun Feng, Jiamin Lu, Pengcheng Zhang, Chenxin Zou

Expert Syst. Appl., 2024

A review of digital twin capabilities, technologies, and applications based on the maturity model.

Yang Liu, Jun Feng, Jiamin Lu, Siyuan Zhou

Adv. Eng. Informatics, 2024

2023

Incorporating Normalized L1 Penalty and Eigenvalue Constraint for Causal Structure Learning.

Yunfeng Wang, Yuelong Zhu, Tingting Hang, Jiamin Lu, Jun Feng

Int. J. Artif. Intell. Tools, August, 2023

Generic Ontologies for Digital Watersheds.

Hailin Tang, Jun Feng, Siyuan Zhou

Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management, 2023

2022

AI for Online Customer Service: Intent Recognition and Slot Filling Based on Deep Learning Technology.

Yirui Wu, Wenqin Mao, Jun Feng

Mob. Networks Appl., December, 2022

Joint extraction of entities and relations using multi-label tagging and relational alignment.

Tingting Hang, Jun Feng, Le Yan, Yunfeng Wang, Jiamin Lu

Neural Comput. Appl., 2022

Hydrological Time Series Motif Association Rule Mining Based on Three-Step Pruning and Constraints.

Yuelong Zhu, Zhixin Teng, Yirui Wu, Jun Feng

Proceedings of the IEEE Smartworld, 2022

Distribution-Adaptive Graph Attention Networks for Flood Forecasting.

Jun Feng, Yuanhui Mao

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

Graph Convolution Based Spatial-Temporal Attention LSTM Model for Flood Forecasting.

Jun Feng, Haichao Sha, Yukai Ding, Le Yan, Zhangheng Yu

Proceedings of the International Joint Conference on Neural Networks, 2022

SSPR: A Skyline-Based Semantic Place Retrieval Method.

Jiamin Lu, Zhenyu Zhou, Jiahao Liu, Jun Feng

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

IPPTS: An Efficient Algorithm for Scientific Workflow Scheduling in Heterogeneous Computing Systems.

Hamza Djigal, Jun Feng, Jiamin Lu, Jidong Ge

IEEE Trans. Parallel Distributed Syst., 2021

Joint extraction of entities and overlapping relations using source-target entity labeling.

Tingting Hang, Jun Feng, Yirui Wu, Le Yan, Yunfeng Wang

Expert Syst. Appl., 2021

Flow interval prediction based on deep residual network and lower and upper boundary estimation method.

Le Yan, Jun Feng, Tingting Hang, Yuelong Zhu

Appl. Soft Comput., 2021

Efficient Subgraph Pruning & Embedding for Multi-Relation QA over Knowledge Graph.

Jiamin Lu, Zixuan Zhang, Xiaoqing Yang, Jun Feng

Proceedings of the International Joint Conference on Neural Networks, 2021

Spatial and Temporal Aware Graph Convolutional Network for Flood Forecasting.

Jun Feng, Zhongyi Wang, Yirui Wu, Yuqi Xi

Proceedings of the International Joint Conference on Neural Networks, 2021

Incorporating Proportional Sparse Penalty for Causal Structure Learning.

Yunfeng Wang, Yuelong Zhu, Tingting Hang, Jun Feng, Jiamin Lu

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Semantic-based Bidirectional Adversarial Neural Topic Model.

Zulong Ma, Jiamin Lu, Jun Feng, Yunfei Zhang, Wei Wu

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Distant Supervision Relation Extraction via Reinforcement Learning with Potential Energy Function.

Tao Zhang, Jun Feng, Jiamin Lu

Proceedings of the CSSE 2021: 2021 4th International Conference on Computer Science and Software Engineering, Singapore, October 22, 2021

FEE: An Event Extraction Model for Flood and Drought Disaster Based on Sequence Labeling.

Zulong Ma, Jiamin Lu, Wei Wu, Jun Feng

Proceedings of the 6th International Conference on Control, Robotics and Cybernetics, 2021

Cross-modal Retrieval of Archives based on Principal Affinity Representation.

Xiaoqing Yang, Yuelong Zhu, Jun Feng, Jiamin Lu

Proceedings of the International Conference on Communications, 2021

2020

Network Attacks Detection Methods Based on Deep Learning Techniques: A Survey.

Yirui Wu, Dabao Wei, Jun Feng

Secur. Commun. Networks, 2020

Interpretable spatio-temporal attention LSTM model for flood forecasting.

Yukai Ding, Yuelong Zhu, Jun Feng, Pengcheng Zhang, Zirun Cheng

Neurocomputing, 2020

SMOTE-Boost-based sparse Bayesian model for flood prediction.

Yirui Wu, Yukai Ding, Jun Feng

EURASIP J. Wirel. Commun. Netw., 2020

Stream-Flow Forecasting of Small Rivers Based on LSTM.

Youchuan Hu, Le Yan, Tingting Hang, Jun Feng

CoRR, 2020

Complexity to Forecast Flood: Problem Definition and Spatiotemporal Attention LSTM Solution.

Yirui Wu, Yukai Ding, Yuelong Zhu, Jun Feng, Sifeng Wang

Complex., 2020

Flood Prediction Using Rainfall-Flow Pattern in Data-Sparse Watersheds.

Yuelong Zhu, Jun Feng, Le Yan, Tao Guo, Xiaodong Li

IEEE Access, 2020

Performance Evaluation of Security-Aware List Scheduling Algorithms in IaaS Cloud.

Hamza Djigal, Jun Feng, Jiamin Lu

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

FP-ExtVP: Accelerating Distributed SPARQL queries by Exploiting Load-adaptive Partitioning.

Jiamin Lu, Cheng Yang, Bingfa Wang, Jun Feng

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

A Novel Hierarchical Topic Model for Horizontal Topic Expansion With Observed Label Information.

Xi Zou, Yuelong Zhu, Jun Feng, Jiamin Lu, Xiaodong Li

IEEE Access, 2019

A Probabilistic Range Query of Moving Objects in Road Network.

Yaqing Shi, Song Huang, Jun Feng, Jiamin Lu

IEEE Access, 2019

Stream-Flow Forecasting Based on Dynamic Spatio-Temporal Attention.

Jun Feng, Le Yan, Tingting Hang

IEEE Access, 2019

Hierarchically Channel-Wise Attention Model for Clean and Polluted Water Images Classification.

Yirui Wu, Yao Xiao, Jun Feng

Proceedings of the Smart Computing and Communication - 4th International Conference, 2019

Hierarchical Bayesian Network Based Incremental Model for Flood Prediction.

Yirui Wu, Weigang Xu, Qinghan Yu, Jun Feng, Tong Lu

Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Artificial Intelligence Approaches for Urban Water Demand Forecasting: A Review.

Abdullahi Uwaisu Muhammad, Xiaodong Li, Jun Feng

Proceedings of the Machine Learning and Intelligent Communications, 2019

Using LSTM GRU and Hybrid Models for Streamflow Forecasting.

Abdullahi Uwaisu Muhammad, Xiaodong Li, Jun Feng

Proceedings of the Machine Learning and Intelligent Communications, 2019

Sparse Bayesian Flood Forecasting Model Based on SMOTEBoost.

Yirui Wu, Yukai Ding, Jun Feng

Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

Small Watershed Stream-Flow Forecasting Based on LSTM.

Le Yan, Jun Feng, Tingting Hang

Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019

Water Sound Recognition Based on Support Vector Machine.

Tingting Hang, Jun Feng, Xiaodong Li, Le Yan

Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019

Novel Approach for Multi-valued Truth Discovery.

Jun Feng, Ju Chen, Jiamin Lu

Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019

Task Scheduling for Heterogeneous Computing using a Predict Cost Matrix.

Hamza Djigal, Jun Feng, Jiamin Lu

Proceedings of the 48th International Conference on Parallel Processing, 2019

Product Feature Extraction via Topic Model and Synonym Recognition Approach.

Jun Feng, Wen Yang, Cheng Gong, Xiaodong Li, Rongrong Bo

Proceedings of the Big Data - 7th CCF Conference, 2019

2018

Automatic Approach of Sentiment Lexicon Generation for Mobile Shopping Reviews.

Jun Feng, Cheng Gong, Xiaodong Li, Raymond Y. K. Lau

Wirel. Commun. Mob. Comput., 2018

Context and Temporal Aware Attention Model for Flood Prediction.

Zhaoyang Liu, Yirui Wu, Yukai Ding, Jun Feng, Tong Lu

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Continuous Skyline Queries for Moving Objects in Road Network based on MSO.

Bin Xu, Jun Feng, Jiamin Lu

Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, 2018

Local and Global Bayesian Network based Model for Flood Prediction.

Yirui Wu, Weigang Xu, Jun Feng, Shivakumara Palaiahnakote, Tong Lu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Context-Aware Attention LSTM Network for Flood Prediction.

Yirui Wu, Zhaoyang Liu, Weigang Xu, Jun Feng, Shivakumara Palaiahnakote, Tong Lu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Collaborative filtering algorithm based on rating distance.

Yi Liu, Jun Feng, Jiamin Lu

Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, 2017

CPE: a cloud server performance evaluation model.

Jun Feng, Lixia Zhang, Jiamin Lu, Bin Xu

Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, 2017

Research on Faceted Search Method for Water Data Catalogue Service.

Jun Feng, Shengqiu Kong, Bingshuai Du, Jiamin Lu

Proceedings of the 4th IEEE International Conference on Cyber Security and Cloud Computing, 2017

Secure Framework for Future Smart City.

Hamza Djigal, Jun Feng, Jiamin Lu

Proceedings of the 4th IEEE International Conference on Cyber Security and Cloud Computing, 2017

2016

A New Symbolization and Distance Measure Based Anomaly Mining Approach for Hydrological Time Series.

Pengcheng Zhang, Yan Xiao, Yuelong Zhu, Jun Feng, Dingsheng Wan, Wenrui Li, Hareton Leung

Int. J. Web Serv. Res., 2016

RH: An improved AMH aggregate query method.

Zhixian Tang, Jun Feng, Zhonghua Zhu, Yaqing Shi, Jiamin Lu

Intell. Autom. Soft Comput., 2016

Efficient Filter and Refinement for the Hadoop-Based Spatial Join.

Jiamin Lu, Ralf Hartmut Güting, Jun Feng

Proceedings of the 12th International Conference on Mobile Ad-Hoc and Sensor Networks, 2016

A new algorithm for water information extraction from high resolution remote sensing imagery.

Shijin Li, Shengte Wang, Zhan Zheng, Dingsheng Wan, Jun Feng

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Index and Query Methods in Road Networks

Jun Feng, Toyohide Watanabe

Smart Innovation, Systems and Technologies 29, Springer, ISBN: 978-3-319-10788-2, 2015

2014

Multi-measure Similarity Searching for Time Series.

Jimin Wang, Yuelong Zhu, Dingsheng Wan, Pengcheng Zhang, Jun Feng

J. Comput., 2014

A Novel Method for Predictive Aggregate Queries over Data Streams in Road Networks Based on STES Methods.

Jun Feng, Yaqing Shi, Zhixian Tang, Caihua Rui, Xurong Min

Proceedings of the Modern Advances in Applied Intelligence, 2014

Hydrological Time Series Anomaly Mining Based on Symbolization and Distance Measure.

Dingsheng Wan, Yan Xiao, Pengcheng Zhang, Jun Feng, Yuelong Zhu, Qian Liu

Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

2013

A new spatio-temporal prediction approach based on aggregate queries.

Jun Feng, Zhonghua Zhu, Yaqing Shi, Liming Xu

Int. J. Knowl. Web Intell., 2013

Hyperspectral band selection from the spectral similarity perspective.

Shijin Li, Yuelong Zhu, Dingsheng Wan, Jun Feng

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Sky-MCSP-R: An Efficient Graph-Based Web Service Composition Approach.

Pengjiao Sun, Pengcheng Zhang, Wenrui Li, Xuejun Guo, Jun Feng

Proceedings of the 20th Asia-Pacific Software Engineering Conference, 2013

2012

A Traffic Flow Prediction Approach Based on Aggregated Information of Spatio-temporal Data Streams.

Jun Feng, Zhonghua Zhu, Rongwei Xu

Proceedings of the Intelligent Interactive Multimedia: Systems and Services, 2012

DOSR: A Method of Domain-Oriented Semantic Retrieval in XML Data.

Jun Feng, Zhixian Tang, Ruchun Huang

Proceedings of the Intelligent Interactive Multimedia: Systems and Services, 2012

Clustering-Based Feature Selection for Content Based Remote Sensing Image Retrieval.

Shijin Li, Jiali Zhu, Jun Feng, Dingsheng Wan

Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012

Human Age Estimation Using Ranking SVM.

Dong Cao, Zhen Lei, Zhiwei Zhang, Jun Feng, Stan Z. Li

Proceedings of the Biometric Recognition - 7th Chinese Conference, 2012

2010

Anchor Shot Detection with Diverse Style Backgrounds Based on Spatial-Temporal Slice Analysis.

Fuguang Zheng, Shijin Li, Hao Wu, Jun Feng

Proceedings of the Advances in Multimedia Modeling, 2010

2009

DynSketch: a spatio-temporal aggregate index for moving objects in road networks.

Jun Feng, Chunyan Lu, Shimin Xu, Toyohide Watanabe

Int. J. Intell. Def. Support Syst., 2009

Weighted Block Matching-Based Anchor Shot Detection with Dynamic Background.

Fuguang Zheng, Shijin Li, Hao Li, Jun Feng

Proceedings of the Image Analysis and Recognition, 6th International Conference, 2009

Constrained Clustering Objects on a Spatial Network.

Wenting Liu, Jun Feng, Zhijian Wang

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2008

Improved partition method for tracking moving objects in road networks.

Jun Feng, Jiamin Lu, Yuelong Zhu, Toyohide Watanabe

Int. J. Adv. Intell. Paradigms, 2008

Route Optimization Using Q-Learning for On-Demand Bus Systems.

Naoto Mukai, Toyohide Watanabe, Jun Feng

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Continuous Clustering of Moving Objects in Spatial Networks.

Wenting Liu, Zhijian Wang, Jun Feng

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Index Method for Tracking Network-Constrained Moving Objects.

Jun Feng, Jiamin Lu, Yuelong Zhu, Toyohide Watanabe

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Multi-Granularity Aggregation Index for Data Stream.

Jun Feng, Ying Wang, Jiayu Yao, Toyohide Watanabe

Proceedings of the International Conference on Cyberworlds 2008, 2008

Multi-thresholds Clustering Objects in a Road Network.

Wenting Liu, Jun Feng, Zhijian Wang, Hao Shan

Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007

Search on transportation networks for location-based service.

Jun Feng, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe

Appl. Intell., 2007

Continuous k-Nearest Neighbor Search Under Mobile Environment.

Jun Feng, Linyan Wu, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe

Proceedings of the Advances in Data and Web Management, 2007

Avoidance of Traffic Delay for Panicking Crowds Subject to Information Propagation.

Naoto Mukai, Toyohide Watanabe, Jun Feng

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Indexing of Moving Objects on Road Network Using Composite Structure.

Jun Feng, Jiamin Lu, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Research on Entropy-based Collaborative Filtering Algorithm.

Chunhui Piao, Jing Zhao, Jun Feng

Proceedings of ICEBE 2007, 2007

2006

NCO-Tree: A Spatio-temporal Access Method for Segment-Based Tracking of Moving Objects.

Yuelong Zhu, Xiang Ren, Jun Feng

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

The Reasoning and Analysis of Spatial Direction Relation Based on Voronoi Diagram.

Yongqing Yang, Jun Feng, Zhijian Wang

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

R-Tree Based Optimization Algorithm for Dynamic Transport Problem.

Naoto Mukai, Toyohide Watanabe, Jun Feng

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Analysis of Selfish Behaviors on Door-to-Door Transport System.

Naoto Mukai, Toyohide Watanabe, Jun Feng

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Forecasting Region Search of Moving Objects.

Jun Feng, Linyan Wu, Yuelong Zhu, Toyohide Watanabe

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Simulation Analysis for On-Demand Transport Vehicles Based on Game Theory.

Naoto Mukai, Jun Feng, Toyohide Watanabe

Proceedings of the Advances in Applied Artificial Intelligence, 2006

2005

Stepwise Optimization Method for k-CNN Search for Location-Based Service.

Jun Feng, Naoto Mukai, Toyohide Watanabe

Proceedings of the SOFSEM 2005: Theory and Practice of Computer Science, 2005

Integrated Management of Multi-level Road Network and Transportation Networks.

Jun Feng, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Search on Transportation Network for Location-Based Service.

Jun Feng, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe

Proceedings of the Innovations in Applied Artificial Intelligence, 2005

Proactive Route Planning Based on Expected Rewards for Transport Systems.

Naoto Mukai, Toyohide Watanabe, Jun Feng

Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

2004

Indexing Approach for Delivery Demands with Time Constraints.

Naoto Mukai, Jun Feng, Toyohide Watanabe

Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Heuristic Approach Based on Lambda-Interchange for VRTPR-Tree on Specific Vehicle Routing Problem with Time Windows.

Naoto Mukai, Jun Feng, Toyohide Watanabe

Proceedings of the Innovations in Applied Artificial Intelligence, 2004

Incremental Maintenance of All-Nearest Neighbors Based on Road Network.

Jun Feng, Naoto Mukai, Toyohide Watanabe

Proceedings of the Innovations in Applied Artificial Intelligence, 2004

2003

Index Structure for Managing Multi-levels of Road Networks on Distributed Environment.

Jun Feng, Toyohide Watanabe

Proceedings of the 2003 International Symposium on Information Technology (ITCC 2003), 2003