Jun Feng - RankMe

113 papers B 15C 6Journal 40Unranked 51

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	API-DONet: A knowledge-guided deep neural operator network for flood forecasting. Inf. Process. Manag. Jiru Zhang, Jun Feng, Pingping Shao, Yang Liu, Aizhong Hou
2026	J	`jnl`	Few-Shot Relation Extraction Based on Prompt Learning: A Taxonomy, Survey, Challenges and Future Directions. ACM Comput. Surv. Tingting Hang, Shuting Liu, Jun Feng, Hamza Djigal, Jun Huang
2026	J	`jnl`	Incremental learning-based Kolmogorov-Arnold Networks for adaptive hydrological parameter optimization of flood forecasting. Expert Syst. Appl. Xin Chi, Jun Feng, Jiamin Lu, Pingping Shao, Jiru Zhang, Ronghao Yan
2026	J	`jnl`	Knowledge-guided and data-driven flood prediction based on Besov space optimization. Inf. Sci. Pingping Shao, Jun Feng, Yang Cai, Jianxin Zhang, Aizhong Hou
2026	J	`jnl`	PQMT: Position-aware Network and Qualifier-Interactive Attention for multi-task hyper-relation extraction. Inf. Process. Manag. Tingting Hang, Haichao Ding, Qi Tang, Jun Feng
2025	J	`jnl`	A survey of Few-Shot Relation Extraction combining meta-learning with prompt learning. Neurocomputing Tingting Hang, Wei Wu, Jun Feng, Hamza Djigal, Jun Huang
2025	—	`conf`	Adaptive Budget-Constrained Resource Provisioning for Workflow Scheduling in IaaS Clouds. ICA3PP (6) Seyedeh Faezeh Farahbakhshian, Jun Feng, Hamza Djigal, Amin Fakhartousi
2025	J	`jnl`	Fusion of data-driven models with a knowledge-guided loss function for flood forecasting. Appl. Soft Comput. Haider Malik, Jun Feng, Mohammed Abdallah, Jiru Zhang, Pingping Shao, Zaid Ameen Abduljabbar
2025	J	`jnl`	GAPrompt: A soft prompt compression model for few-shot relation extraction. Knowl. Based Syst. Tingting Hang, Wei Wu, Shuting Liu, Jun Feng, Hamza Djigal
2025	J	`jnl`	Robust annotation aggregation in crowdsourcing via enhanced worker ability modeling. Inf. Process. Manag. Ju Chen, Jun Feng, Shenyu Zhang, Xiaodong Li, Hamza Djigal
2025	J	`jnl`	Understanding the Essence: Delving into Annotator Prototype Learning for Multi-Class Annotation Aggregation. CoRR Ju Chen, Jun Feng, Shenyu Zhang
2024	J	`jnl`	A review of digital twin capabilities, technologies, and applications based on the maturity model. Adv. Eng. Informatics Yang Liu, Jun Feng, Jiamin Lu, Siyuan Zhou
2024	B	`conf`	APS-LSTM: Exploiting Multi-Periodicity and Diverse Spatial Dependencies for Flood Forecasting. SMC Jun Feng, Xueyi Liu, Jiamin Lu, Pingping Shao
2024	J	`jnl`	APS-LSTM: Exploiting Multi-Periodicity and Diverse Spatial Dependencies for Flood Forecasting. CoRR Jun Feng, Xueyi Liu, Jiamin Lu, Pingping Shao
2024	—	`conf`	An Improved Semantic Place Retrieval Method by Learning-based Clustering. DSIT Jiamin Lu, Jiahao Liu, Zhendong Fan, Zhenyu Zhou, Xu Kong, Jun Feng
2024	J	`jnl`	Data-driven and knowledge-guided denoising diffusion model for flood forecasting. Expert Syst. Appl. Pingping Shao, Jun Feng, Jiamin Lu, Pengcheng Zhang, Chenxin Zou
2024	J	`jnl`	Graph neural networks with selective attention and path reasoning for document-level relation extraction. Appl. Intell. Tingting Hang, Jun Feng, Yunfeng Wang, Le Yan
2024	J	`jnl`	Improving flood forecasting using time-distributed CNN-LSTM model: a time-distributed spatiotemporal method. Earth Sci. Informatics Haider Malik, Jun Feng, Pingping Shao, Zaid Ameen Abduljabbar
2024	J	`jnl`	Interpretable spatial-temporal attention convolutional network for rainfall forecasting. Comput. Geosci. Pingping Shao, Jun Feng, Pengcheng Zhang, Jiamin Lu
2023	—	`conf`	Generic Ontologies for Digital Watersheds. BDEIM Hailin Tang, Jun Feng, Siyuan Zhou
2023	J	`jnl`	Incorporating Normalized L1 Penalty and Eigenvalue Constraint for Causal Structure Learning. Int. J. Artif. Intell. Tools Yunfeng Wang, Yuelong Zhu, Tingting Hang, Jiamin Lu, Jun Feng
2022	J	`jnl`	AI for Online Customer Service: Intent Recognition and Slot Filling Based on Deep Learning Technology. Mob. Networks Appl. Yirui Wu, Wenqin Mao, Jun Feng
2022	—	`conf`	Distribution-Adaptive Graph Attention Networks for Flood Forecasting. PRICAI (1) Jun Feng, Yuanhui Mao
2022	B	`conf`	Graph Convolution Based Spatial-Temporal Attention LSTM Model for Flood Forecasting. IJCNN Jun Feng, Haichao Sha, Yukai Ding, Le Yan, Zhangheng Yu
2022	—	`conf`	Hydrological Time Series Motif Association Rule Mining Based on Three-Step Pruning and Constraints. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Yuelong Zhu, Zhixin Teng, Yirui Wu, Jun Feng
2022	J	`jnl`	Joint extraction of entities and relations using multi-label tagging and relational alignment. Neural Comput. Appl. Tingting Hang, Jun Feng, Le Yan, Yunfeng Wang, Jiamin Lu
2022	—	`conf`	SSPR: A Skyline-Based Semantic Place Retrieval Method. ICONIP (1) Jiamin Lu, Zhenyu Zhou, Jiahao Liu, Jun Feng
2021	—	`conf`	Cross-modal Retrieval of Archives based on Principal Affinity Representation. CCCI Xiaoqing Yang, Yuelong Zhu, Jun Feng, Jiamin Lu
2021	—	`conf`	Distant Supervision Relation Extraction via Reinforcement Learning with Potential Energy Function. CSSE Tao Zhang, Jun Feng, Jiamin Lu
2021	B	`conf`	Efficient Subgraph Pruning & Embedding for Multi-Relation QA over Knowledge Graph. IJCNN Jiamin Lu, Zixuan Zhang, Xiaoqing Yang, Jun Feng
2021	—	`conf`	FEE: An Event Extraction Model for Flood and Drought Disaster Based on Sequence Labeling. CRC Zulong Ma, Jiamin Lu, Wei Wu, Jun Feng
2021	J	`jnl`	Flow interval prediction based on deep residual network and lower and upper boundary estimation method. Appl. Soft Comput. Le Yan, Jun Feng, Tingting Hang, Yuelong Zhu
2021	J	`jnl`	IPPTS: An Efficient Algorithm for Scientific Workflow Scheduling in Heterogeneous Computing Systems. IEEE Trans. Parallel Distributed Syst. Hamza Djigal, Jun Feng, Jiamin Lu, Jidong Ge
2021	B	`conf`	Incorporating Proportional Sparse Penalty for Causal Structure Learning. ICTAI Yunfeng Wang, Yuelong Zhu, Tingting Hang, Jun Feng, Jiamin Lu
2021	J	`jnl`	Joint extraction of entities and overlapping relations using source-target entity labeling. Expert Syst. Appl. Tingting Hang, Jun Feng, Yirui Wu, Le Yan, Yunfeng Wang
2021	B	`conf`	Semantic-based Bidirectional Adversarial Neural Topic Model. ICTAI Zulong Ma, Jiamin Lu, Jun Feng, Yunfei Zhang, Wei Wu
2021	B	`conf`	Spatial and Temporal Aware Graph Convolutional Network for Flood Forecasting. IJCNN Jun Feng, Zhongyi Wang, Yirui Wu, Yuqi Xi
2020	J	`jnl`	Complexity to Forecast Flood: Problem Definition and Spatiotemporal Attention LSTM Solution. Complex. Yirui Wu, Yukai Ding, Yuelong Zhu, Jun Feng, Sifeng Wang
2020	—	`conf`	FP-ExtVP: Accelerating Distributed SPARQL queries by Exploiting Load-adaptive Partitioning. IEEE BigData Jiamin Lu, Cheng Yang, Bingfa Wang, Jun Feng
2020	J	`jnl`	Flood Prediction Using Rainfall-Flow Pattern in Data-Sparse Watersheds. IEEE Access Yuelong Zhu, Jun Feng, Le Yan, Tao Guo, Xiaodong Li
2020	J	`jnl`	Interpretable spatio-temporal attention LSTM model for flood forecasting. Neurocomputing Yukai Ding, Yuelong Zhu, Jun Feng, Pengcheng Zhang, Zirun Cheng
2020	J	`jnl`	Network Attacks Detection Methods Based on Deep Learning Techniques: A Survey. Secur. Commun. Networks Yirui Wu, Dabao Wei, Jun Feng
2020	B	`conf`	Performance Evaluation of Security-Aware List Scheduling Algorithms in IaaS Cloud. CCGRID Hamza Djigal, Jun Feng, Jiamin Lu
2020	J	`jnl`	SMOTE-Boost-based sparse Bayesian model for flood prediction. EURASIP J. Wirel. Commun. Netw. Yirui Wu, Yukai Ding, Jun Feng
2020	J	`jnl`	Stream-Flow Forecasting of Small Rivers Based on LSTM. CoRR Youchuan Hu, Le Yan, Tingting Hang, Jun Feng
2019	J	`jnl`	A Novel Hierarchical Topic Model for Horizontal Topic Expansion With Observed Label Information. IEEE Access Xi Zou, Yuelong Zhu, Jun Feng, Jiamin Lu, Xiaodong Li
2019	J	`jnl`	A Probabilistic Range Query of Moving Objects in Road Network. IEEE Access Yaqing Shi, Song Huang, Jun Feng, Jiamin Lu
2019	—	`conf`	Artificial Intelligence Approaches for Urban Water Demand Forecasting: A Review. MLICOM Abdullahi Uwaisu Muhammad, Xiaodong Li, Jun Feng
2019	—	`conf`	Hierarchical Bayesian Network Based Incremental Model for Flood Prediction. MMM (1) Yirui Wu, Weigang Xu, Qinghan Yu, Jun Feng, Tong Lu
2019	—	`conf`	Hierarchically Channel-Wise Attention Model for Clean and Polluted Water Images Classification. SmartCom Yirui Wu, Yao Xiao, Jun Feng
2019	—	`conf`	Novel Approach for Multi-valued Truth Discovery. IMCOM Jun Feng, Ju Chen, Jiamin Lu
2019	B	`conf`	Product Feature Extraction via Topic Model and Synonym Recognition Approach. Big Data (CCF) Jun Feng, Wen Yang, Cheng Gong, Xiaodong Li, Rongrong Bo
2019	—	`conf`	Small Watershed Stream-Flow Forecasting Based on LSTM. IMCOM Le Yan, Jun Feng, Tingting Hang
2019	—	`conf`	Sparse Bayesian Flood Forecasting Model Based on SMOTEBoost. iThings/GreenCom/CPSCom/SmartData Yirui Wu, Yukai Ding, Jun Feng
2019	—	`conf`	Spatio-Temporal Attention LSTM Model for Flood Forecasting. iThings/GreenCom/CPSCom/SmartData Yukai Ding, Yuelong Zhu, Yirui Wu, Jun Feng, Zirun Cheng
2019	J	`jnl`	Stream-Flow Forecasting Based on Dynamic Spatio-Temporal Attention. IEEE Access Jun Feng, Le Yan, Tingting Hang
2019	—	`conf`	Task Scheduling for Heterogeneous Computing using a Predict Cost Matrix. ICPP Workshops Hamza Djigal, Jun Feng, Jiamin Lu
2019	—	`conf`	Using LSTM GRU and Hybrid Models for Streamflow Forecasting. MLICOM Abdullahi Uwaisu Muhammad, Xiaodong Li, Jun Feng
2019	—	`conf`	Water Sound Recognition Based on Support Vector Machine. IMCOM Tingting Hang, Jun Feng, Xiaodong Li, Le Yan
2018	J	`jnl`	Automatic Approach of Sentiment Lexicon Generation for Mobile Shopping Reviews. Wirel. Commun. Mob. Comput. Jun Feng, Cheng Gong, Xiaodong Li, Raymond Y. K. Lau
2018	—	`conf`	Context and Temporal Aware Attention Model for Flood Prediction. PCM (1) Zhaoyang Liu, Yirui Wu, Yukai Ding, Jun Feng, Tong Lu
2018	B	`conf`	Context-Aware Attention LSTM Network for Flood Prediction. ICPR Yirui Wu, Zhaoyang Liu, Weigang Xu, Jun Feng, Shivakumara Palaiahnakote, Tong Lu
2018	—	`conf`	Continuous Skyline Queries for Moving Objects in Road Network based on MSO. IMCOM Bin Xu, Jun Feng, Jiamin Lu
2018	B	`conf`	Local and Global Bayesian Network based Model for Flood Prediction. ICPR Yirui Wu, Weigang Xu, Jun Feng, Shivakumara Palaiahnakote, Tong Lu
2017	—	`conf`	CPE: a cloud server performance evaluation model. IMCOM Jun Feng, Lixia Zhang, Jiamin Lu, Bin Xu
2017	—	`conf`	Collaborative filtering algorithm based on rating distance. IMCOM Yi Liu, Jun Feng, Jiamin Lu
2017	—	`conf`	Research on Faceted Search Method for Water Data Catalogue Service. CSCloud Jun Feng, Shengqiu Kong, Bingshuai Du, Jiamin Lu
2017	—	`conf`	Secure Framework for Future Smart City. CSCloud Hamza Djigal, Jun Feng, Jiamin Lu
2016	J	`jnl`	A New Symbolization and Distance Measure Based Anomaly Mining Approach for Hydrological Time Series. Int. J. Web Serv. Res. Pengcheng Zhang, Yan Xiao, Yuelong Zhu, Jun Feng, Dingsheng Wan, Wenrui Li, Hareton Leung
2016	B	`conf`	A new algorithm for water information extraction from high resolution remote sensing imagery. ICIP Shijin Li, Shengte Wang, Zhan Zheng, Dingsheng Wan, Jun Feng
2016	—	`conf`	Efficient Filter and Refinement for the Hadoop-Based Spatial Join. MSN Jiamin Lu, Ralf Hartmut Güting, Jun Feng
2016	J	`jnl`	RH: An improved AMH aggregate query method. Intell. Autom. Soft Comput. Zhixian Tang, Jun Feng, Zhonghua Zhu, Yaqing Shi, Jiamin Lu
2015	—	`book`	Index and Query Methods in Road Networks Jun Feng, Toyohide Watanabe
2014	—	`conf`	A Novel Method for Predictive Aggregate Queries over Data Streams in Road Networks Based on STES Methods. IEA/AIE (2) Jun Feng, Yaqing Shi, Zhixian Tang, Caihua Rui, Xurong Min
2014	—	`conf`	Hydrological Time Series Anomaly Mining Based on Symbolization and Distance Measure. BigData Congress Dingsheng Wan, Yan Xiao, Pengcheng Zhang, Jun Feng, Yuelong Zhu, Qian Liu
2014	J	`jnl`	Multi-measure Similarity Searching for Time Series. J. Comput. Jimin Wang, Yuelong Zhu, Dingsheng Wan, Pengcheng Zhang, Jun Feng
2013	J	`jnl`	A new spatio-temporal prediction approach based on aggregate queries. Int. J. Knowl. Web Intell. Jun Feng, Zhonghua Zhu, Yaqing Shi, Liming Xu
2013	C	`conf`	Hyperspectral band selection from the spectral similarity perspective. IGARSS Shijin Li, Yuelong Zhu, Dingsheng Wan, Jun Feng
2013	—	`conf`	Sky-MCSP-R: An Efficient Graph-Based Web Service Composition Approach. APSEC (1) Pengjiao Sun, Pengcheng Zhang, Wenrui Li, Xuejun Guo, Jun Feng
2012	—	`conf`	A Traffic Flow Prediction Approach Based on Aggregated Information of Spatio-temporal Data Streams. IIMSS Jun Feng, Zhonghua Zhu, Rongwei Xu
2012	—	`conf`	Clustering-Based Feature Selection for Content Based Remote Sensing Image Retrieval. ICIAR (1) Shijin Li, Jiali Zhu, Jun Feng, Dingsheng Wan
2012	—	`conf`	DOSR: A Method of Domain-Oriented Semantic Retrieval in XML Data. IIMSS Jun Feng, Zhixian Tang, Ruchun Huang
2012	—	`conf`	Human Age Estimation Using Ranking SVM. CCBR Dong Cao, Zhen Lei, Zhiwei Zhang, Jun Feng, Stan Z. Li
2010	B	`conf`	Anchor Shot Detection with Diverse Style Backgrounds Based on Spatial-Temporal Slice Analysis. MMM Fuguang Zheng, Shijin Li, Hao Wu, Jun Feng
2009	—	`conf`	Constrained Clustering Objects on a Spatial Network. CSIE (3) Wenting Liu, Jun Feng, Zhijian Wang
2009	J	`jnl`	DynSketch: a spatio-temporal aggregate index for moving objects in road networks. Int. J. Intell. Def. Support Syst. Jun Feng, Chunyan Lu, Shimin Xu, Toyohide Watanabe
2009	—	`conf`	Weighted Block Matching-Based Anchor Shot Detection with Dynamic Background. ICIAR Fuguang Zheng, Shijin Li, Hao Li, Jun Feng
2008	—	`conf`	Continuous Clustering of Moving Objects in Spatial Networks. KES (2) Wenting Liu, Zhijian Wang, Jun Feng
2008	J	`jnl`	Improved partition method for tracking moving objects in road networks. Int. J. Adv. Intell. Paradigms Jun Feng, Jiamin Lu, Yuelong Zhu, Toyohide Watanabe
2008	—	`conf`	Index Method for Tracking Network-Constrained Moving Objects. KES (2) Jun Feng, Jiamin Lu, Yuelong Zhu, Toyohide Watanabe
2008	C	`conf`	Multi-Granularity Aggregation Index for Data Stream. CW Jun Feng, Ying Wang, Jiayu Yao, Toyohide Watanabe
2008	—	`conf`	Multi-thresholds Clustering Objects in a Road Network. CSSE (1) Wenting Liu, Jun Feng, Zhijian Wang, Hao Shan
2008	—	`conf`	Route Optimization Using Q-Learning for On-Demand Bus Systems. KES (2) Naoto Mukai, Toyohide Watanabe, Jun Feng
2007	—	`conf`	Avoidance of Traffic Delay for Panicking Crowds Subject to Information Propagation. KES (2) Naoto Mukai, Toyohide Watanabe, Jun Feng
2007	—	`conf`	Continuous k-Nearest Neighbor Search Under Mobile Environment. APWeb/WAIM Jun Feng, Linyan Wu, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe
2007	—	`conf`	Indexing of Moving Objects on Road Network Using Composite Structure. KES (2) Jun Feng, Jiamin Lu, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe
2007	—	`conf`	Research on Entropy-based Collaborative Filtering Algorithm. ICEBE Chunhui Piao, Jing Zhao, Jun Feng
2007	J	`jnl`	Search on transportation networks for location-based service. Appl. Intell. Jun Feng, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe
2006	—	`conf`	Analysis of Selfish Behaviors on Door-to-Door Transport System. KES (1) Naoto Mukai, Toyohide Watanabe, Jun Feng
2006	—	`conf`	Forecasting Region Search of Moving Objects. KES (1) Jun Feng, Linyan Wu, Yuelong Zhu, Toyohide Watanabe
2006	—	`conf`	NCO-Tree: A Spatio-temporal Access Method for Segment-Based Tracking of Moving Objects. KES (2) Yuelong Zhu, Xiang Ren, Jun Feng
2006	—	`conf`	R-Tree Based Optimization Algorithm for Dynamic Transport Problem. KES (2) Naoto Mukai, Toyohide Watanabe, Jun Feng
2006	C	`conf`	Simulation Analysis for On-Demand Transport Vehicles Based on Game Theory. IEA/AIE Naoto Mukai, Jun Feng, Toyohide Watanabe
2006	—	`conf`	The Reasoning and Analysis of Spatial Direction Relation Based on Voronoi Diagram. KES (2) Yongqing Yang, Jun Feng, Zhijian Wang
2005	—	`conf`	Integrated Management of Multi-level Road Network and Transportation Networks. KES (3) Jun Feng, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe
2005	B	`conf`	Proactive Route Planning Based on Expected Rewards for Transport Systems. ICTAI Naoto Mukai, Toyohide Watanabe, Jun Feng
2005	C	`conf`	Search on Transportation Network for Location-Based Service. IEA/AIE Jun Feng, Yuelong Zhu, Naoto Mukai, Toyohide Watanabe
2005	B	`conf`	Stepwise Optimization Method for k-CNN Search for Location-Based Service. SOFSEM Jun Feng, Naoto Mukai, Toyohide Watanabe
2004	C	`conf`	Heuristic Approach Based on Lambda-Interchange for VRTPR-Tree on Specific Vehicle Routing Problem with Time Windows. IEA/AIE Naoto Mukai, Jun Feng, Toyohide Watanabe
2004	C	`conf`	Incremental Maintenance of All-Nearest Neighbors Based on Road Network. IEA/AIE Jun Feng, Naoto Mukai, Toyohide Watanabe
2004	B	`conf`	Indexing Approach for Delivery Demands with Time Constraints. PRICAI Naoto Mukai, Jun Feng, Toyohide Watanabe
2003	—	`conf`	Index Structure for Managing Multi-levels of Road Networks on Distributed Environment. ITCC Jun Feng, Toyohide Watanabe
2003	J	`jnl`	Multi-level transportation network adaptable to traffic navigation. Res. Comput. Sci. Jun Feng, Naoto Mukai, Toyohide Watanabe